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DRAFT


                DRAFT




                   2010
  Opportunity Assessment



                  Dale Fickett

                  Co-founder, Profit2

                  dfickett@hotmail.com

                  +353 87 998 2616 (Ireland)
                  +1 856 481 0322 (United States)
DRAFT

 This document has been prepared by Dale S. Fickett and Profit2, and is being furnished to select
 individuals for the purpose of conveying the nature of a new business venture model, and to develop
 partnering relationships with appropriate individuals and entities. It contains confidential
 information relating to trade secrets and intellectual property, including but not limited to: ideas,
 concepts, strategies, plans, research, processes, approaches, methods and other proprietary
 information.

 Readers are to treat the information herein as confidential, and agree to not compete with Profit2 or
 Dale S. Fickett using the information contained herein. Furthermore, readers may request permission
 to distribute this information from Dale S. Fickett, and should not otherwise do so.




           “He is now rising from affluence to poverty.”
                           -Mark Twain



   “In a country well governed, poverty is something to
   be ashamed of. In a country badly governed, wealth
             is something to be ashamed of.”
                        -Confucius


 Table of Contents
                   “Poverty is my pride.”
 Executive Summary
                -The Prophet Muhammad

       2
DRAFT

                                                             Table of Contents




 I.       The African Development Context.................................................................................................. 5
       Introduction – The Need for Action in Sub-Saharan Africa ................................................................ 5
       Context – Global Development Efforts ............................................................................................... 5
       Measuring Development Progress in Sub-Saharan Africa .................................................................. 6
       Conclusion ........................................................................................................................................... 7
 II.      African Economy and Other Macro-Factors ................................................................................... 7
       Resiliency and Growth ........................................................................................................................ 7
       Economic Growth Drivers ................................................................................................................... 8
       Risks to Economic Growth .................................................................................................................. 9
       Additional Macro-Factors ................................................................................................................... 9
       Conclusion ......................................................................................................................................... 11
 III.         African Entrepreneurship and Innovation ................................................................................ 11
       Global Entrepreneurship................................................................................................................... 12
       Sub-Saharan African Entrepreneurship ............................................................................................ 12
       Alleviating Poverty through Entrepreneurship ................................................................................. 13
 IV.          Country Analysis........................................................................................................................ 13
       Framework for Determining Attractive Markets .............................................................................. 13
       Financial Return Dimension .............................................................................................................. 14
       Social Return Dimension ................................................................................................................... 18
       Mapping Attractive Countries........................................................................................................... 18
       National Advantage Diamond Analysis ............................................................................................. 28
       Conclusion ......................................................................................................................................... 32
 V.       Industry Analysis ........................................................................................................................... 32
       Industry Definitions........................................................................................................................... 32
       Why Incubators and Early Stage Investment? .................................................................................. 33
       Business Incubation in SSA ............................................................................................................... 35
       Private Equity in SSA ......................................................................................................................... 36
       Size and Growth Rates ...................................................................................................................... 37
       Value Chain Analysis ......................................................................................................................... 41

             3
DRAFT

    Conclusion ......................................................................................................................................... 44
 VI.       Next Steps ................................................................................................................................. 44
 VII.      Sources ...................................................................................................................................... 45
 VIII.     Appendices ................................................................................................................................ 46
    List of African Small Business Incubators.......................................................................................... 46
    List of Private Equity Providers in Africa ........................................................................................... 49




          4
DRAFT

     I.       The African Development Context

 Introduction – The Need for Action in Sub-Saharan Africa
 There are three primary challenges for society, and for our generation – the threat of terrorism and
 the need for nuclear non-proliferation, containing climate change, and eradicating extreme poverty.
 While it is more convenient to discuss the amelioration of extreme poverty, our goal must be clear –
 to ensure that no human being must suffer the indignities of living on less than $1.25 per day.
 According to the World Bank’s World Development Indicators 2010, the world population stood at
 6,697,300,000 in 2008, and one in four, or 1,374,000,000 have been doing just this.1 These people
 face a daily fight to meet basic survival needs, such as adequate nutrition, uncontaminated drinking
 water, safe shelter and access to basic health care.2

 In Sub-Saharan Africa just over half the population lives in this extreme state of poverty, the highest
 poverty rate for any world region. Not only do these people live at subsistence level, but they are in
 countries of low economic development – there are also very low education and health standards.
 Sub-Saharan Africa, as a region, is the world’s largest collection of countries of Low Human
 Development. In fact, according to the UN’s Human Development Report 2010, at present, there are
 just over 1 billion people living in countries with these poor conditions, and just over 80% of them
 live in Sub-Saharan Africa.3

 Context – Global Development Efforts
 Global development efforts, or targeted interventions to improve the livelihoods of people living in
 poverty, are said to have started with the 1944 establishment of the U.S.’s Marshall Plan and the
 establishment of the World Bank and International Monetary Fund at the Bretton Woods
 Conference.4 Since their inception it is estimated that $1 trillion5 has been spent in private-, civil-,
 and public- sector activities.6 Although there are clearly many programs targeting poverty in
 developed countries, “global development” efforts are generally regarded as those focused
 specifically on the poor living outside North America, Western Europe and developed Asia. These
 efforts focus on three objectives: 1) to increase the availability and widen the distribution of basic
 life-sustaining goods; 2) to raise the levels of living; and 3) to expand the range of economic and
 social choices.7

 It is encouraging to note that there have been large improvements in alleviating poverty. To put
 today’s situation into context, in 1820, at the dawn of the industrial revolution, it is estimated that
 75% of humanity lived in these conditions of poverty8. In short, technology improvements that have
 enabled mass production, instantaneous transmission of information, and global trade have also
 lifted billions out of a state of poverty.


 1
   World Bank (2010), p. 64 and p. 92. $1.25/day poverty population and rates are based on 2005 estimates.
 2
   Sachs (2005), p. 56
 3
   UN (2010), p. 187
 4
   See Führer (1996).
 5
   Moyo (2009), p. xix
 6
   See Fickett (2010), pp. 8-11, for further discussion on the background of economic development in Sub-
 Saharan Africa.
 7
   Todaro (2006), p.22
 8
   See http://en.wikipedia.org/wiki/Poverty_reduction

          5
DRAFT

 Measuring Development Progress in Sub-Saharan Africa
 For those that have not escaped extreme poverty, coordinated international intervention improved
 dramatically with the establishment of the Millennium Development Goals in 2000. Over the last
 ten years, through the global pursuits of these goals, it has been found that the achievement of
 these standards of living improvements was made easier in states experiencing economic growth, as
 compared to stagnant states; and that solutions in one state or region do not easily convert to
 others.9 As a result of these efforts, (since 2000) 37 million more children have been able to attend
 and complete primary school; 14 million children have been vaccinated against the measles; and the
 number of children (under age 5) dying has fallen from 10 million per year to 8.8 million per year.
 Four out of five people in developing countries now live in states that have attained gender equality
 in primary and secondary education; and seven out of ten people in developing countries live in
 states that have halved the proportion of people without access to clean drinking water.10

 Economic growth remains strong in many developing countries, and achieving the Millennium
 Development Goals is within reach, despite setbacks incurred as a result of food crises, the financial
 crisis, and the resulting economic downturn. However, there is still much progress to be made in
 assisting the developing world in lifting their standards of living. 11 Only 16% of the developing
 world’s population live in countries where the proportion of people without access to basic
 sanitation has been halved. At present, seven out of ten countries are off-track to meet this goal in
 2015. The slowest progress has been in addressing childhood malnutrition – 56% of the developing
 world population lives in the 102 countries that are unlikely to attain this goal.12

 While the global numbers are encouraging, reaching the Millennium Development Goals in Sub-
 Saharan Africa is off-track in some regards. In the region, higher unemployment, falling incomes and
 lower migrant remittances have slowed progress towards reaching the MDGs.13 Those areas
 requiring most attention for SSA, include:
         The proportion of people living on less than $1.25/day has only decreased from 58% to 51%;
         Gender equality in education has improved at primary school level, but has fallen at
         secondary and tertiary levels;
         Giving birth in Sub-Saharan Africa is especially risky, where 46% of women deliver without
         skilled care;
         The spread of HIV appears to have stabilized, and more people are surviving longer (but
         correct transmission knowledge among the 15-24 age group is worst in Sub-Saharan Africa ;
         Forested area as a percentage of land area, has fallen from 31% to 28%, while billions of
         metric tons of carbon dioxide emissions have been increasing; and
         Overseas development aid continues to rise, but Africa has been short-changed.
 Fortunately, progress has been made regarding:
         Primary school enrolment ratio for 1998-99 was 58%, and has improved to 76%; and
         The under-5 mortality rate has fallen from 184 per 1,000 births, to 144 (but is still the
         world’s highest incidence rate).14

 9
   World Bank (2010), pp. 1 - 3
 10
    Ibid.
 11
    UN (2010b), pp. 1-3
 12
    Ibid.
 13
    IMF (2010), pp. 3 – 14
 14
    See UN (2010b).

        6
DRAFT

 Conclusion
 Efforts to address progress in these areas are undertaken by a wide array of development
 stakeholders, including: inter-governmental organisations, private sector corporations, civil-sector
 NGOs, and government agencies. In brief, their efforts can be categorized as: 1) Working at a
 macro-policy level to influence politicians and regulators to create ecosystems more conducive to
 economic growth that facilitates poverty alleviation; 2) meso-level interventions, such as those
 intended to construct and augment industry value chains or other community support systems; and
 3) micro-level programs to support individuals, their families or their businesses.

 Note: For further discussion on global development in Sub-Saharan Africa, please see Fickett (2010): Development
 Stakeholders, pp. 5-7; Economic Development in Sub-Saharan Africa, pp. 8-11; and Private Investment and Economic
 Growth, p. 11.


 Economic development, or the improvement of livelihoods for those who most need it, has come as
 the result of government policy to enable growth in the private sector. More economic opportunity
 has generally meant higher incomes, better education and better health care. However, the rising
 tide of economic activity does not lift all ships, and there are many cases of those left behind – both
 individuals in countries which have improved, as well as whole nations that have struggled to
 improve conditions for their populations. This resultant inequality has been the driving force behind
 sizeable efforts by many stakeholders. These groups from the private-, civil- and public-sector have
 sought to address the challenges of laggard countries through interventions to spur development
 which addresses these inequalities in standards-of-living. Historic efforts in parts of Asia and Latin
 America have been commended as largely successful in improving the livelihoods for hundreds of
 millions. However, Sub-Saharan Africa in particular, still faces arguably the largest challenges in
 improving livelihoods. The nature of the development challenges in SSA range from poor access to
 income-generating economic activity – to low access to education – to low levels of health care. We
 appear to be on the cusp of a large wave of new economic growth in SSA, one which has the
 potential to make tremendous gains in addressing these inequalities at their most extreme, and one
 which necessitates concerted effort to direct benefits to those that are in most need.


        II.     African Economy and Other Macro-Factors
 Resiliency and Growth
 Although Sub-Saharan Africa is clearly facing a range of developmental issues regarding the
 conditions in which people live, there is also much cause for enthusiasm related to the region’s
 prospects for future improvements.

 2010-2020 is likely to be the first time since the industrial revolution that developing countries add
 more to global economic growth than developed countries15, and Africa will play a leading part in
 this growth. Africa (including North Africa) has gross domestic product of $1.6 trillion, roughly the
 size of Brazil or Russia.16 The IMF predicts a strong re-bound for Sub-Saharan Africa, with a 5%
 growth rate for 2010 and 5.5% for 2011. For most countries in the region, this will mean a return to


 15
      McKinsey (2010), p. 4
 16
      Ibid., p. 11

          7
DRAFT

 their pre-crisis level. In fact, only developing Asia is set to outpace Sub-Saharan Africa’s growth.17
 The Emerging Market Private Equity Association concurs, stating, “Sub-Saharan Africa represents
 one of the most dramatic growth stories among emerging markets.”18

 The outlook for 2011 and beyond is promising. Growth is expected to accelerate to 5.5%, and no
 country is expected to have negative growth in 2011 (a rare historic occurrence).19 Across the
 region, fiscal balances are expected to improve. Government debt-to-GDP is expected to rise,
 however deterioration should be mild due to anticipated debt relief, and improved tax revenues.
 Only a slight deterioration in the external account balances is expected as demand is expected to fall
 slightly, and little change in currency reserve positions is expected.20

 Economic Growth Drivers
 The region’s growth is explained by several factors. First, policy changes of the last decade are
 making a difference. Political commitment has resulted in stronger fiscal and monetary stability,
 investments in infrastructure and education, and increases in trade.21 Second, Africa (including
 North Africa) has been helped by post-crisis global trade, and a rebound in commodity prices.22 The
 increase in global trade has been focused on faster-growing geographic segments of the global
 economy – China, Latin America and developing Asia.23 Also, economic activity is rebounding due to
 a resurgence in mining and demand for consumer and capital goods.24 Third, capital flow changes as
 a result of the financial crisis and the broader economic downturn are mixed. The slowing of global



                                Investment Trends in Sub-Saharan Africa
         •   Half of the 2010 inward FDI flows of $1.2 trillion now go to developing and
             transition economies
         •   With 5.3% of global inward FDI, SSA is the smallest region for receiving investment,
             and is expected to remain so through 2012
         •   2009 FDI flows to Africa fell 19% to $59 billion, the first decrease in a decade
         •   In 2009 outward FDI from Africa contracted by 50% to $5 billion
         •   The pre-crisis level of FDI is not expected to be reached again until 2012, with an
             estimate at $1.6 - $2 trillion
         •   The ten year annualized return for the Africa composite index is 13.8%, compared
             with -1.0% for the Dow Jones and 7.3% for the MSCI Emerging Markets index
                                                                        Source: UNCTAD, EMPEA




 17
    IMF (2010), pp. 3 - 14
 18
    EMPEA (2010), p. 11
 19
    Ibid.
 20
    Ibid.
 21
    McKinsey (2010), p. 37 - 39
 22
    OECD (2010), pp. 7-9
 23
    IMF (2010), pp. 3 - 14
 24
    Ibid.

        8
DRAFT

 capital markets resulted in weaker Foreign Direct Investment (FDI) fell, especially in non-extractive
 industries (see below).25 However, the outlook for FDI into the ‘higher value’ services and
 manufacturing industries is promising, as governments enact investment-friendly policy frameworks.
 Interestingly, existing investments earn returns 2/3 higher than those in China, India, Indonesia and
 Vietnam.26 Weaker demand and higher unemployment outside Africa reduced worker remittances,
 while overseas development assistance (ODA) has generally held up. Fourth, past macro-economic
 prudence has enabled expansionary fiscal and monetary.27 Finally, Africa has a range of longer-term
 factors which demonstrate large expansionary headroom - large untapped natural resources (of
 greater value when considered in terms of rising commodity prices), growing populations with
 increasing levels of discretionary income, potential in hydro and solar power due to geography, and
 potential to displace Asia as the low-cost manufacturing hub, given proximity to European and North
 American consumers, long coastlines, and wage dynamics.28

 Risks to Economic Growth
 Downside risks to the growth scenario, in the short term, include:
            Weakening of global demand;
            Depression in commodity prices, or increased price volatility;
            Weakened investment due to higher costs of capital;
            Shortfalls in overseas development aid due to developed country fiscal pressures; and
            Localized conflict, financial system deterioration, poor public policy changes or natural
            disasters. 29

 Additional Macro-Factors
 The following table illustrates a range of other macro-factors of interest when considering African
 potential for economic growth and for the alleviation of African poverty (for further discussion on
 trends as they impact African entrepreneurship, please see section IV):

 Factor                                                                                     Source
 Economic
        Increasing economic diversification, with agriculture, wholesale and                McKinsey
        retail, transportation, telecommunications and manufacturing
        accounting for 67% of growth between 2000 and 2008
        Increasing demand from developing countries for African resources in                Accenture
        timber, agriculture, fresh water and mineral deposits
        Large oil-exporting and middle-income countries have faced increases in             IMF
        unemployment, but less significant than that experienced in developed
        markets
        As the financial crisis unfolded, governments were able to enact counter-           IMF
        act decreasing investment inflows with higher fiscal spending, and
        monetary rates were lowered where possible
        Capital inflows into Africa (including North Africa), have increased from           McKinsey
        $9B in 2000 to $62B in 2008 – relative to GDP, comparable to China


 25
    OECD (2010), pp. 7 - 9
 26
    Collier (2010), p. 61 - 63
 27
    See IMF (2010), pp. 3 – 14, McKinsey (2010) p. 4
 28
    Accenture (2010), p. 5 – 7; Collier (2010), pp. 61 – 63; and McKinsey (2010), p. 13
 29
    Downside risks drawn from OECD (2010), p. 7 – 10; McKinsey (2010), p. 11; and IMF (2010), p. 14 - 16

        9
DRAFT

          Capital flows are increasing due to intra-Africa trade, and that African     Accenture
          traded companies enjoy ROIC that is 65% higher than those in China,
          Vietnam and India.
 Demographics & Social
          Increasing urbanization and changes in income have resulted in an            Accenture
          emerging African middle class, representing 35% of the population
          In 1980 20% of the population lived in cities, it’s now approximately 40%    McKinsey
          - roughly comparable to China and India. By 2030 it is expected to rise to
          50%, and the top 18 cities are expected to have combined spending
          power of $1.3 trillion.
          In 2000 59M African households had income of $5000 or more; in 2014          McKinsey
          it is expected to rise to 106M households
          Africa already has more households with over $20,000 in annual income        McKinsey
          than India
          Work patterns have changed, as the services industry now makes up            Accenture
          more than 40% of Africa’s GDP
          By 2040 Africa is expected to have a workforce of 1.1 billion, larger than   McKinsey
          China or India
          Tertiary educational enrolment have grown at 12% since 1975, but             Accenture
          challenges remain to stem graduate emigration
          On average, Africans are half as expensive to employ as their counter-       Accenture
          parts in Latin America, Asia and Central Europe
 Political & Regulatory
          African governance is improving, with over 20 countries encouraging          McKinsey
          greater political participation since 1989.
          Continental coordination and trade are improving though the African          Mo Ibrahim
          Union, the New Economic Partnership for African Development and              Foundation
          regional trade blocs
          Of Africans surveyed across 19 countries – 65% hold community                Mo Ibrahim
          meetings; 55% were active in joining others to raise issues; and 62%         Foundation
          believe they should question leaders’ actions
          Almost every African nation has an independent media                         Mo Ibrahim
                                                                                       Foundation
         Privatization of state-owned enterprises, removal of trade barriers,          McKinsey
         strengthened regulatory and legal systems have all increased
         attractiveness of inward FDI
         Nigeria has led the region in privatization—the World Bank estimates          Emerging
         that between 2000 and 2008, Nigeria privatized 105 enterprises valued         Markets Private
         at nearly US$6.5 billion. Ghana privatized seven enterprises valued at        Equity
         US$1.1 billion and South Africa saw 13 enterprises privatized for US$780      Association30
         million in the same time period.
 Cultural
         Cultural variation between and within countries is significant – with         Africa Guide31
         performance and celebration customs, and traditional visual arts and
         crafts focused on family and ethnic groups
         Strong linguistic heritage with over 2,000 indigenous languages. Official     Wikipedia32
         languages in many countries tied to European colonialism.

 30
    See EMPEA (2010), p. 12
 31
    See http://www.africaguide.com/culture/index.htm
 32
    See http://en.wikipedia.org/wiki/Languages_of_Africa#Official_languages

      10
DRAFT

        Primary cultural trends, include: reverse innovation, growth in mobile          Globalpost.com33
        connectivity, rise of the African creative class, the Africa brand and
        related tourism, the rise of African / African-American initiatives, and
        increased trade and investment with China and India
 Technology
        Productivity is improving, currently averaging 2.% growth since 2000,           McKinsey
        based on high mobile phone penetration rates, increasing competition
        and growing economies of scale
        Mobile phone penetration rate is currently at 50%, is among the world’s         Economist
        fastest growing; and is creating unique innovations such as mobile
        banking and electronic stored value
        Kigali recently announced its plans to for ubiquitous wireless internet         IT News Africa
        access, at an investment of $7.66M
        Increasing broadband connectivity is driving growth in African                  Accenture
        outsourcing businesses
        Reverse innovation and the rise of emerging market consumers are                Accenture
        placing new demands on traditional consumer products companies in
        developing low-cost/high-quality offerings that meet local needs, and in
        selling to these consumers through unfamiliar channels

 Conclusion
 Despite the development challenges discussed in section II, there are significant predictions for
 economic growth in SSA. It has been demonstrated that SSA is returning to pre-crisis trends, and will
 rival the established BRICs as an engine for post-crisis growth. This economic growth is driven by:
 macro-economic stability, pro-investment/pro-business policy environments, fairly favorable capital-
 flow dynamics, and a range of favorable geographic and demographic factors. The challenge
 remains how to harness this forthcoming wave of activity to benefit the poor. Work in
 developmental entrepreneurship, including systems approaches, inclusive markets approaches, and
 sustainable livelihoods approaches looks to provide an answer. If this work offer the design of the
 ‘vessel’ by which we will ride this economic growth wave,34 then impact investing provides the
 engine by which the vessel can be powered to create exponential impact in poverty alleviation.


      III.   African Entrepreneurship and Innovation
 Following the G20 summit on November 15, 2008, the leaders of the world's largest economies
 issued a statement explaining how they intended to restructure the world's economic architecture.
 On the first page of this statement, they stated:
       “Our work will be guided by a shared belief that market principles, open trade and investment
       regimes, and effectively regulated financial markets foster the dynamism, innovation, and
       entrepreneurship that are essential for economic growth, employment, and poverty
       reduction.”35




 33
    See http://www.globalpost.com/webblog/commerce/top-6-african-business-and-culture-trends-watch-2010
 34
    See Fickett (2010), pp. 3 – 5 for further elaboration on developmental entrepreneurship in the academic
 literature.
 35
    Klapper et. al. (2009), p. 2

      11
DRAFT

 The OECD defines “entrepreneurship” as the phenomenon associated with enterprising human
 action in pursuit of the generation of value through the creation or expansion of economic activity,
 by identifying and exploiting new products, processes or markets. It is essential for the continued
 dynamism of the modern market economy and a greater entry rate of new business can foster
 competition and economic growth.36 Specifically, entrepreneurship, or the creation of new private-
 sector, profit-generating businesses, has been recognized as:
          A key catalyst for creating new technologies, products, processes and services;
          An engine by which financial value is created through high potential, high growth
          companies;
          That financial value supports significant job creation; and
          Entrepreneurs are increasingly identifying new models for creating social impact, in areas
          such as housing, health care, education, the arts, and poverty alleviation. 37

 Global Entrepreneurship
 Globally, entrepreneurship is primarily measured through the Global Entrepreneurship Monitor
 (GEM) and the World Bank Group Entrepreneurship Survey (WBGES) dataset. The former captures
 early-stage entrepreneurial activity and entrepreneurial intent, especially in the informal sector;
 while the latter captures formal business registration.38 Recently, the GEM found that the 2009
 economic downturn, expectedly, reduced the number of people initiating new ventures for two-
 thirds of the 54 countries surveyed.39 Also, GEM recently found: 1) Across countries,
 entrepreneurial attitudes and perceptions vary widely and are positive views are generally related to
 higher social status and higher media visibility for successful entrepreneurs; 2) development; 3)
 Countries with high levels of employment protection exhibit lower start-up rates; 4) Entrepreneurial
 institutional supports are generally more important within countries at more advanced phases of
 economic development; and 5) the economic downturn has resulted in decreased informal/angel
 investing, as well as venture capital investments in nearly all markets. According to the findings of
 the WBGES: 1) In developed countries four new firms register for every 1,000 people in the labor
 force, while there is less than one for countries of medium and low development; 2) Data show that
 dynamic business creation occurs in countries that provide entrepreneurs supportive policy and
 regulatory environments; 3) Concurring with the GEM, almost all countries noticed a drop in new
 business registration as a result of the global economic downturn; and 4) Countries in which the
 financial services sector plays a larger role in the domestic economy, experienced sharper declines in
 new business formation.40

 Sub-Saharan African Entrepreneurship
 Like other regions of the world entrepreneurship in Sub-Saharan Africa is a key component of
 economic activity. Since 2004 the WBGES has captured the creation of 2,690,818 new firms in SSA,



 36
    See Klapper et al. (2007), p. 2; Klapper, Laeven and Rajan (2007); Djankov, La Porta, Lopez de Silanes and
 Shleifer (2002).
 37
    Timmons and Spinelli (2003), p. 19. Also, see Global Entrepreneurship Monitor (2009), p. 7, in relation to
 social entrepreneurship. GEM found that in the 49 countries studied 1.8% of the adult population was
 engaged in social entrepreneurial activity.
 38
    Acs et. al (2007), p. 11
 39
    Global Entrepreneurship Monitor (2009), 5 - 7
 40
    See World Bank (2010b).

      12
DRAFT

 or 14% of the 18.7 million started globally.41 As SSA’s portion of global economic output is much
 smaller at 1.52%42, arguably SSA is beginning to generate a ‘more than their share’ of the world’s
 small businesses. Moreover, this does not account for the substantial portion of informal economic
 activity in SSA, which is not captured by the WBGES survey. A 2007 study of Micro, Small and
 Medium Enterprises (MSMEs) by the International Finance Corporation, included eight SSA
 countries, and captured 4.5 million such businesses, or 27.5 MSMEs per 1,000 Sub-Saharan
 Africans.43 Additionally, these MSMEs were shown to contribute 38% to 66% of their respective
 country’s employment.44 Indeed, McKinsey recently agreed with this assessment of the importance
 of the entrepreneurial sector in Africa’s growth, stating, “Entrepreneurship is seen as a significant
 component to private sector growth (in Africa).”45

 Alleviating Poverty through Entrepreneurship
 A range of initiatives under numerous headings have been initiated to harness the power of private
 markets, and more specifically, entrepreneurship, to alleviate poverty – “Pro-poor growth”,
 “Inclusive Markets”, “Sustainable Livelihoods”, “Enterprise Development”. In short, developmental
 entrepreneurship is the study of utilising the establishment of small businesses as a lever to alleviate
 poverty in countries with low levels of economic development. There is a significant body of
 research supporting the assertion that new ventures can be used as a vehicle for poverty alleviation.
 The OECD promotes the “central role” of the private sector in poverty alleviation46; while the UN
 Development Program states, “The poor harbor a potential for consumption, production,
 innovation, and entrepreneurial activity that is largely untapped.”47 They also site many examples of
 businesses that are creating “value for all” by buying from, and selling to, the poor.48 Finally, the
 WBGES shows relationships between entrepreneurial activity and indicators of economic growth and
 development.49

 Note: For further discussion on developmental entrepreneurship and poverty alleviation in SSA through
 entrepreneurship, please see Fickett (2010): Economics and Management Literature, pp. 3 – 5; Poverty Alleviation
 through Developmental Entrepreneurship, pp. 12 – 13; and Research on Addressing Developmental Entrepreneurship
 Opportunities, pp. 13 – 17.



      IV.     Country Analysis
 Framework for Determining Attractive Markets
 Sub-Saharan Africa is a diverse collection of 46 countries, and each has a unique policy environment,
 structure of economic output, technology landscape and social profile. As such, it is necessary to
 understand which countries are the most conducive for developmental entrepreneurship ventures.

 41
    See WBGES Dataset 2010 available at:
 http://econ.worldbank.org/WBSITE/EXTERNAL/EXTDEC/EXTRESEARCH/0,,contentMDK:22731215~pagePK:642
 14825~piPK:64214943~theSitePK:469382,00.html
 42
    World Bank (2010), p. 34
 43
    See IFC dataset on MSMEs available at: http://www.ifc.org/ifcext/sme.nsf/Content/Resources
 44
    Ibid.
 45
    McKinsey (2010), p. 69
 46
    OECD (2006), pp. 14-15, 20
 47
    UN Development Programme (2008), pp. 1-12
 48
    Ibid
 49
    Klapper, et. al. (2007), pp. 15 – 17, 32

      13
DRAFT

 In consideration of a determination of which national markets are most attractive, it is first
 necessary to define the two primary dimensions along which a developmental entrepreneurship
 opportunity should be measured – social and financial (see figure 1). First, it must provide a
 demonstrable impact in the alleviation of poverty in the markets in which it operates, through job
 creation, income increases, direct standards-of-living improvements related to the products or
 services provided, secondary effects related to the use of local supply chain partners, or secondary
 effects related to livelihood impacts – increased educational enrolment or health improvements for
 the families of indigenous entrepreneurs. Also, the given venture may create tertiary impacts, such
 as improved perceptions of entrepreneurship, spill-over effects related to knowledge capital, and
 improved entrepreneurial networks and role models. Second, a given venture must generate
 financial returns commensurate with its capital requirements and capital structure. In order for the
 venture to be self-sufficient over the long-term, it must create enough economic value to repay
 creditors and/or generate risk-adjusted returns for providers of equity capital. Initiatives reliant on
 grants and subsidies are inherently time-bound due to the nature of the financing. Developmental
 entrepreneurship ventures are self-sustaining.

 Note: For further discussion on the social and financial components of developmental entrepreneurship opportunities,
 please see Fickett (2010), pp. 20 – 24.


                                                                                                       Illustrative



                                                        Not-for-Profit and           Most Attractive
                       Social Return Dimension




                                                        Public Sector Space          Opportunities




                                                          Least Attractive
                                                                                   Private Sector Space
                                                           Opportunities




                                                                  Financial Return Dimension




                                                 Figure 1: Mapping Social and Financial Returns


 Financial Return Dimension
 The WBGES demonstrates a range of considerations to utilize when comparing countries’
 conduciveness for entrepreneurial activity. First, the quality and efficiency of the legal, regulatory




      14
DRAFT

 and governance environments are the primary determinants of entrepreneurial activity.50
 Interestingly, Ghana and South Africa have recently been found to be less corrupt than China, India
 and Brazil.51

 Second, business density, or the number of registered business per member of the labor force, is
 another key indicator of entrepreneurial conduciveness.52 Third, the Doing Business53 rankings are
 strong indicators of business density and entry, or the number of new businesses registered.54
 Forth, and intuitively, the cost of starting a business as a percentage of per capita Gross National
 Income (GNI) is also a key factor in entrepreneurial activity. For every 10 percentage points
 decrease in the cost of starting a business (as a percentage of per capita GNI), the business entry
 rate will increase by 1%.55 Fifth, the log Gross Domestic Product (GDP) per capita and domestic
 credit accessibility are both strongly correlated with business entry, however no causal relationship
 has been established.56 Concurring with these points, the IFC recently found that businesses are
 created at a faster rate in countries with good governance, a strong regulatory and legal system, low
 corporate taxes, and less administrative procedures when dealing with public-sector agencies.57

 The extent to which the national environment is supportive of entrepreneurship and innovation is
 another important dynamic in relation to the attractiveness of a given country. According to a
 recent report of the OECD, “the major function of SMEs and entrepreneurship in innovation is the
 introduction of advances in products, processes, organizational methods and marketing techniques
 into the economy.”58 Innovation drives the creation of jobs and economic growth; and innovation
 policy seeks to foster supportive environments. It happens in developed and developing countries
 alike; and innovation policy must take into account local conditions, economic inequalities,
 demographic challenges, and activity of the informal sector.59 The European Union Lisbon Treaty
 identified three factors in the uptake of new technology – R&D expenditure, structural reforms, and
 market de-regulation; and subsequently, a 2007 African Union summit adopted a science and
 technology plan of action, with the New Economic Partnership for African Development (NEPAD)
 overseeing a science and technology program.60 Furthermore, innovation is at the heart of economic
 development, social welfare and protection of the environment – with the World Bank declaring,
 “Innovation is the main source of increased performance, of getting more out of limited resources,
 of finding new ways to use existing resources, and to mobilize people to produce better goods and
 services.”61

 The following table provides selected areas of African innovation by industry sector, including both
 opportunities and recent innovations:


 50
    Klapper, et al. (2007), p. 2-3, 15 - 18
 51
    See Transparency International (2010).
 52
    Ibid.
 53
    See World Bank (2010c).
 54
    Klapper, et. al. (200&), pp. 18 - 21
 55
    Ibid.
 56
    Ibid.
 57
    IFC (2010), p. 1
 58
    OECD (2010b), p. 32
 59
    OECD (2010c), p. 9 - 12
 60
    See OECD (2009), p. 81; OECD (2010c), p. 9 - 12
 61
    World Bank (2010d), pp. 22 - 24

      15
DRAFT

 Innovation Instances and Opportunities                                                  Source
 Agribusiness
 Agricultural productivity improvements provide a significant opportunity, as            World Bank
 productivity is the primary driver of poverty reduction, as livelihood impact is        (2009)
 gauged to be 4 times greater in agriculture than other sectors, and as crop yields
 in SSA have remained stagnant since the 1960s. 70% of people live in rural
 communities, and 90% of rural populations depend on agriculture for their
 primary source of income.
 Research in high-yield seedlings through Cameroon’s Institute of Agricultural           Accenture
 Research for Development
 Financial Services
 Safaricom Ltd., with its M-PESA offering, allows customers to send money by             Accenture
 using mobile SMS services. There are currently 6 million users. There are now
 similar services in Tanzania, Uganda, Rwanda, Sierra Leone, South Africa and
 Somalia.
 South Africa’s First National Bank has introduced an eWallet solution.                  Accenture
 Mobile banking product enabling Kenyan farmers to purchase insurance against            Accenture
 poor weather conditions and low crop yields.
 Aquaculture
 Aquaculture has a demonstrated capability to reduce poverty, improve                    World Bank
 livelihoods, and be a significant engine of growth, yet the fisheries sector is         (2007)
 poorly planned, inadequately funded and neglected by governments.
 Health Care
 Introduction of telemedicine call centers and mobile clinics                            McKinsey
 Shifting first-line medical inquiries to nurse-practitioners to better utilize          McKinsey
 doctors’ capacity
 Information & Communication Technologies
 Introduction of solar powered internet kiosks in Kenya, Nigeria, Rwanda, and            Accenture
 Zambia.
 Opportunities related to Africa’s position as the fastest-growing region for            OECD (2009)
 mobile phone use, and the only region where mobile phone penetration trumps
 fixed-line prevalence.
 Algeria, Botswana, Mauritius and Rwanda have stated ambitions of becoming               OECD (2009)
 regional ICT hubs.


 The ability to capture an innovative idea, to translate that idea to a suitable offering, and to deliver it
 to market in a profitable fashion is dependent upon the dynamics of the geographic and product
 market, and the capabilities of the firm. Differences in total factor productivity account for roughly
 half the differences in income across countries, and are generally associated with differences in
 technological progress.62 A country’s ability to harness innovation is therefore a key element in the
 determination of a country’s attractiveness for developmental entrepreneurship activities. Simply
 put, the more innovation that is currently present in a given market, the more that there is likely to
 be in the future.

 There are several other factors which provide insight into a given country’s ability to support
 entrepreneurship and innovation. One of the strongest determinants of entrepreneurial and


 62
      de Mel, et. al (2009), p. 23

         16
DRAFT

 innovation potential is the educational level achieved by the individual entrepreneur.63 It stands to
 reason that a country with a higher proportion of its population achieving tertiary education, is more
 conducive to innovation than one with a lower level of educational achievement. Also, as one might
 expect, the extent to which a country invests in research and development activities is also positively
 correlated to growth and innovation.64

 International relationships through trade and receipt of inward FDI are also strong indicators of
 innovation. The extent to which a country receives inward FDI, is a strong indicator of its ability to
 support private-sector activity. According to Gorodnichenko et. al. vertical transfer of capabilities
 from foreign to domestic firms and FDI spill-over are significant. .65 Two industries – infrastructure
 and natural resources dominate as destinations for inward FDI, and along with activity in the
 informal sector, are strong loci of innovation.66 Pressure from foreign competition has a positive
 effect on innovation, as these firms are more likely to upgrade their product, acquire a new
 technology, and obtain a new accreditation.67 Furthermore, globally engaged firms are larger, more
 productive, more capital intensive, and pay higher wages than purely domestic firms. In short,
 engaging in global supply chains, through either trade or receipt of investment, tends to spur
 innovation.

 There are a range of factors which serve as indicators of a given county’s conduciveness for
 entrepreneurial activity, and these factors serve as the components for our ‘Business Viability Index’.
 The economic factors include:
         Market Size, as measured in 2008 GDP;68
         Market Growth, as measured by a simple average of the 2009-2011 estimates of real GDP
         growth;69
         Global Competitiveness, as measured by the World Economic Forum’s Global
         Competitiveness Index, including assessments of institutions, infrastructure, macro-
         economic environment, health and primary education, higher education and training, goods
         market efficiency, labor market efficiency, financial market development, technological
         readiness, market size, business sophistication, and innovation;70
         Attractiveness as an Investment Destination, as measured by 2008 inward FDI as a
         proportion of GDP;71
         Strength of Exporting Capabilities, as measured by the 2008 value of exports per capita;72
 The political, legal and regulatory factors include:
         Strength of Governance, utilizing an average of the World Bank governance indicators
         across the six dimensions – voice and accountability, political stability and absence of




 63
    Ibid.
 64
    Ibid.
 65
    Şeker (2009), p. 2
 66
    OECD (2010c), p. 65 – 66, p. 83
 67
    Gorodnichenko et. al. (2009), p. 15, 28
 68
    Analysis conducted using data from UN (2010), p. 206 – 208.
 69
    Analysis conducted using data from IMF (2010), p. 72.
 70
    Analysis conducted using data from WEF (2010), p. 15.
 71
    Analysis conducted using data from OECD (2010), p. 252 – 253.
 72
    Analysis conducted using data from World Bank (2010), p. 238 – 241, p. 246 – 249.

      17
DRAFT

         violence or terrorism, government effectiveness, regulatory quality, rule of law, and control
         of corruption;73
         Ease of Doing Business, drawing from the World Bank’s Doing Business ranking, including
         starting a business, dealing with construction permits, registering a property, getting credit,
         protecting investors, paying taxes, trading across borders, enforcing contracts, and closing a
         business74; and
         Corruption Perception, as measured by Transparency International’s corruption perception
         index.75

 Social Return Dimension
 The extent to which developmental entrepreneurship initiatives will create poverty alleviation
 impact is by a more straight-forward set of factors. First, it’s necessary to work in an area in which
 there are significant amounts of people living below the $1.25/day international poverty line.
 Second, those countries in which levels of human development, including education and health care
 provision, are lower provide greater opportunities to make a social impact. Utilising these two
 factors, we have constructed our ‘Social Impact Index’:
          Number of People Living on $1.25/day76; and
          Human Development Index Value.77

 Mapping Attractive Countries
 Utilizing the Business Viability Index and the Social Impact Index, we have categorized the 46 SSA
 countries accordingly. Please note, that the diagrams below also provide the size of the country’s
 economy (bubble diameter is on a logarithmic scale), the bubble text indicates the 2010 estimate of
 GDP growth, and the bubble color indicates the country’s level of human development (red=low,
 yellow=medium, and green=high):




 73
    Analysis conducted using data from Kaufman et. al. (2010).
 74
    Analysis conducted using data from World Bank (2010c).
 75
    Analysis conducted using data from Transparency International (2010).
 76
    Analysis conducted using data from UN (2010).
 77
    Ibid.

      18
DRAFT


                                             100                                                       Low Social Impact Potential
                                                                                                    and Low Business Viability Climate
                                                                                                                           Ethiopia
                                                                                                                              8%
                                              80
                       Social Impact Index




                                              60
                                                                                                Guinea
                                                                                                                                Côte
                                                                                                 3%
                                                                                                                               d’Ivorie
                                                                                                           Sudan
                                                                                                                                  3%
                                                                                                            4.2%
                                              40
                                                                                                   Togo
                                                                       Comoros                     3.3%            Mauritania
                                                                         2.1%                                        -1%

                                              20                                                                       Congo
                                                                                                                       10.6%
                                                                        Equatorial Guinea        São Tomé
                                                                              0.9%              and Príncipe
                                                                                                   4.5%                          Gabon
                                                                                                                                  4.5%


                                                                  10              20               30             40                50         60            70             80             90           100
                                                                                                                    Business Viability Index

                                                     Note: Seychelles and Eritrea social impact index based on GNI per captia due to lack of data.
                                                     Mauritania size of economy, Mauritania 2009 growth rate est. and Sudan 2009 growth rate est. based on CIA Factbook data.




                                                                                                            High Social Impact Potential
                                                                                                          and Low Business Viability Climate
                                                                                                     Democratic Rep.
                        100                                                                            of Congo
                                                                                  Niger                  5.4%
                                                                                  3.5%
                                                                                                     Zimbabwe
                                                                                  Eritrea               5.9%
                                                                                   1.8%
                                  80
                                                   Burundi                                      Chad
                                                                          Guinea-
                                                    3.9%                                        4.3%
                                                                          Bissau                                 Sudan
                                                                           3.5%                                   4.2%
 Social Impact Index




                                  60                                                   Guinea                             Angola
                                                                                                        Sierra
                                                                                        3%                                 5.9%
                                                                                                        Leone
                                                                                                         4.5%
                                                     Central African
                                                       Republic
                                  40
                                                         3.3%




                                  20




                                       0                     10              20               30             40                50         60            70             80             90             100
                                                                                                                 Business Viability Index

                                                                                 Note: Seychelles and Eritrea social impact index based on GNI per captia due to lack of data.
                                                                                 Mauritania size of economy, Mauritania 2009 growth rate est. and Sudan 2009 growth rate est. based on CIA Factbook data.




                            19
DRAFT


                         100                                                Low Social Impact Potential
                                                                         and High Business Viability Climate

                          80
  Social Impact Index




                          60

                                                                                                              Kenya
                                                                                                               4.1%                                     South Africa
                                                                                                       Cameroon                                             3%
                          40                                                                                                           Lesotho
                                                                                          Benin          2.6%                 Gambia
                                                                                                                                        5.6%
                                                                                          2.8%                                  5%
                                                                                                                                           Botswana
                                                                                                                                             6.6%
                                                                                                                          Swaziland
                          20
                                                                                                                            2%

                                                                                                                         Cape Verde                    Namibia
                                                                                                                            4.1%                        4.4%
                                                                                                                                                                      Mauritius
                                                                                                          Seychelles
                                                                                                                                                                       3.6%
                                                                                                            0.7%

                          0    10              20             30            40              50                60             70           80              90             100
                                                                              Business Viability Index


                               Note: Seychelles and Eritrea social impact index based on GNI per captia due to lack of data.
                               Mauritania size of economy, Mauritania 2009 growth rate est. and Sudan 2009 growth rate est. based on CIA Factbook data.




                                                                         High Social Impact Potential
                                                                      and High Business Viability Climate

                         100

                                                                                                                        Mozambique
                                                                                       Ethiopia                             6.5%        Tanzania
                                                                                          8%                        Nigeria               6.5%
                          80                                                                                         7.4%
                                                                                                   Burkina
                                                                                                                                                      Zambia
                                                                                                    Faso
                                                                                                                                                       6.6%
                                                                                                    4.4%       Malawi                    Senegal
   Social Impact Index




                          60                                                                                    6%            Rwanda       4%
                                                                                                       Mali                    5.4%
                                                                                                       5.1%                                            Ghana
                                                                                 Angola                        Uganda
                                                                                                                                                        5%
                                                                                  5.9%                          5.8% Madagascar
                                                                                                                         -2%
                          40


                                                                                                          Liberia
                                                                                                          6.3%$
                          20




                          0     10               20              30              40               50                60            70             80              90               100
                                                                                  Business Viability Index


                                Note: Seychelles and Eritrea social impact index based on GNI per captia due to lack of data.
                                Mauritania size of economy, Mauritania 2009 growth rate est. and Sudan 2009 growth rate est. based on CIA Factbook data.




                         20
DRAFT

 To determine a group of five countries for closer analysis for factors more specific to entrepreneurial
 conduciveness, we utilize the following diagram:


                                                      High Social Impact Potential and
                     Social Impact Index               High Business Viability Climate



                                                                   Mozambique

                                            Ethiopia
                                                   Burkina Faso
                                                       Nigeria           Senegal
                                                               Tanzania          Zambia
                                                     Uganda
                                           Liberia                                        Ghana
                                                                  Malawi Rwanda
                                           Angola     Mali
                                                             Madagascar
                                                               Business Viability Index



 The following tables illustrates the data gathered for the five priority countries and for South Africa
 (which serves as a point of comparison given its economic leadership in SSA, including
 supplementary factors, not included in the business viability index and social impact index78:




 78
      References for all data provided in the tables that follow are available upon request.

         21
DRAFT


                                    South Africa     Mozambique           Ghana          Senegal          Zambia          Rwanda
  Economic Landscape
  Market Size - 2008 GDP          292.2B           18.7B          34.1B           21.9B            17.1B           10B
  Market Growth - Simple
  average of the 2009 - 2011
  estimated real GDP growth
  rates (arrow indicates trend)   1.6↑             6.8↑           6.3%↑           3.5↑             6.4→            5.1↑
  Global Competitiveness -
  World Economic Forum
  Global Competitiveness
  Index                           4.32             3.32           3.56            3.67             3.55            4.00
  Attractiveness as an
  Investment Destination -
  2008 FDI for every $10,000
  of 2008 GDP                     $183             $313           $621            $322             $549            $103
  Stength of Exporting
  Capabilities - 2008 value of
  exports per capita              $1,913           $138           $308            $286             $428            $59
  Economic Diversification -
  2008 manufacturing and
  services as a percentage of
  GDP                             82%              61%            47%             76%              45%             52%
DRAFT


                                                                   South Africa     Mozambique           Ghana          Senegal          Zambia             Rwanda
                                 Economic Landscape

                                                                 Non Resource     Non Resource   Non Resource    Non Resource     Resource Rich-     Non Resource
                                 IMF Classification              Rich-Coastal     Rich-Coastal   Rich-Coastal    Rich-Coastal     Non Oil (copper)   Rich - Landlocked
                                 2009 Real Per Capita GDP -
                                 2000 PPP, 2000 exchange
                                 rates                           $3,691           $395           $347            $522             $436               $345
                                 Consumer prices / inflation -
                                 annual percentage change
 Supplementary Considerations




                                 2009                            7.1%             3.3%           19.3%           -1.7%            13.4%              10.4%
                                 2009 Overall fiscal balance -
                                 percentage of GDP               -5.3%            -5.6%          -9.8%           -5.2%            -3.2%              -2.3%
                                 2009 Overall government
                                 debt - percentage of GDP        30.8%            29.3%          66.5%           32.0%            27.7%              20.2%
                                 2009 Trade Balance              0.1              -14.1          -14.4           -19.2            7.1                -14.7
                                 2009 Reserves - months of
                                 imports goods and services      4.6              4.7            2.7             4.5              4.1                5.1
                                 Highest marginal corporate
                                 tax rate                        35%              32%            25%             ..               35%                ..
                                 UNCTAD Outward FDI
                                 performance index 2005-
                                 2007 (measures importance
                                 of a country's outward FDI
                                 relative to its proportion of
                                 global GDP. (higher = greater
                                 importance)                     0.534            0.001          ...             ...              0.014              0.139



                                23
DRAFT


                                                         South Africa        Mozambique           Ghana          Senegal          Zambia          Rwanda
                     Legal, Regulatory & Political
                     Landscape
                     Strength of Governance -
                     Average of the World Bank
                     governance indicators
                     percentiles across six
                     dimensions                      59.86              45.20             55.58           40.78            40.68           38.76
                     Ease of Doing Business -
 Index Components




                     World Bank Doing Business
                     2011 Rank amongst other
                     Sub-Saharan African states      2                  13                5               23               7               4
                     Corruption Perception -
                     Transparency International
                     corruption perception index     4.5                2.7               4.1             2.9              3               4

                     Value of 2000-2008
 Supp.




                     privatized enterprises
                     (previously semi-state)         $780 billion       ...               $6.5 billion    ...              ...             ...
                     Business Viability Index        59.7               69.6              84.6            76.1             76.8            72.0




                    24
DRAFT


                                                                       South Africa     Mozambique             Ghana        Senegal           Zambia           Rwanda

                                   Social Landscape
Component




                                   Number of People living
                                   below $1.25/day                  12,759,000        16,732,000       7,020,000        4,087,000        8,101,000        7,430,000
Index




                                   Human Development Index
                                   Value                            0.597             0.284            0.363            0.291            0.382            0.385
s




                                   Dominant business language       English           Portuguese       English          French           English          French, English

                                   Gross National Income at
                                   PPP - 2008, Billion $            476,200,000,000   17,200,000,000   30,900,000,000   21,700,000,000   15,500,000,000   10,800,000,000

                                      Lowest 20%                    3.10%             2.10%            5.20%            6.20%            3.60%            5.40%
                                      2008 Population               48,700,000        22,400,000       23,400,000       12,200,000       12,600,000       9,700,000
                                   Gini Coefficient                 57.8              47.1             42.8             39.2             50.7             46.7
                                         Bottom Quintile GNI per
   Supplementary Considerations




                                                           capita   $1,515.63         $119.02          $343.33          $551.39          $221.43          $300.62
                                         Second Quintile GNI per
                                                           capita   $2,737.91         $215.00          $647.05          $942.70          $479.76          $501.03
                                    Third Quintile GNI per capita   $4,840.23         $380.09          $977.18          $1,360.70        $787.30          $734.85
                                          Fourth Quintile GNI per
                                                           capita   $9,191.54         $721.79          $1,445.96        $1,956.56        $1,267.06        $1,091.13
                                      Top Quintile GNI per capita   $30,605.87        $2,403.39        $3,189.04        $4,082.09        $3,395.24        $2,939.38
                                   Life expectancy at birth         52.0              48.4             57.1             56.2             47.3             51.1
                                   Mean years of schooling          8.2               1.2              7.1              3.5              6.5              3.3
                                   Social Impact Index              45.0              84.0             62.0             63.0             63.0             60.0


                                  25
DRAFT


                                          South Africa        Mozambique          Ghana          Senegal          Zambia          Rwanda
   Technology Landscape
   Mobile and Fixed Line Phone
   Subscriptions per 100 people      102                 20                50             46               29.0            14
   Population                        50.5                                  24.3
   Mobile and Fixed Line Phone
   Subscriptions                     51.5                                  12.2
   Network Readiness Index
   Global Rank                       62                  116               98             75               97.0            ...
   2005-2007 Agriculture value
   added per worker 2000 $           €3,077              €173              €378           €224             €232            €226
   Improvements in Agricultural
   Productivity - Difference
   between 1990-92 and 2005-07
   agricultural value added per
   worker (in 2000 $)                $928                $56               $26            -$27             $43             $33
   R&D Expenditures as a % of
   GDP 2000-07                       0.96                0.50              …              0.09             0.03            ...
   Measure of Relationships with
   MNCs as a predictor of
   innovation likelihood - exports
   as a percentage of GDP 2008       35%                 33%               42%            25%              37%             15%
   Measure of Relationships with
   MNCs as a predictor of
   innovation likelihood - imports
   as a percentage of GDP 2008       38%                 46%               75%            47%              34%             31%
   Role in the African Ministerial
   Council on Science and                                Steering          Steering                                        Steering
   Technology                        Secretariat Host    Committee         Committee      AMCOST Chair     ...             Committee


   26
DRAFT




                                         South Africa       Mozambique          Ghana          Senegal          Zambia          Rwanda
   Demographic Landscape
   Population between aged 15-64
   / Labor Force                     31,655,000         11,872,000       13,572,000     6,588,000        6,426,000       5,335,000
   Environmental Landscape
   Environmental Commitment -
   participation in major
   international treaties in 1973-
   2001 (of 9)                       9                  9                9              9                7               8



   2007 Arable Land - hectares per
   100 people                        30.7               21.2             18.2           26.3             43.8            12.7




   27
DRAFT

         National Advantage Diamond Analysis
         Utilizing Michael Porter’s framework for determining national advantage, we constructed the following table for in depth analysis of th five priority
                                                                                                                                              the
         countries:




                                                   South Africa              Mozambique          Ghana                Senegal              Zambia                Rwanda
Factor Conditions


                                                                                            * A portion of
                                                                                           the $64M in
                                                                                           country-specific
                                                                                           funds, dedicated
                                                                                           to Angola,
Early Stage Private Equity Raised -                                                        Namibia and
January 2009 - July 2010 (in billions)       $1,761.25m                ...                 Ghana                ...                  ...                  ...
Local pension funds investing in private
equity funds                                 Yes                       ...                 Yes                  ...                  ...                  ...
                                                                                                                                                          *Has received
                                                                                                                                                         small-scale PE
                                                                                                                                                         attention as a
                                                                                                                                                         part of EAC
Early Stage Private Equity Invested         $723m                     ...                  $20m                 ...                  ...                 investment
2009 Inward Foreign Direct Investment       $5,696M                   $881M                $1,685M              $208M                $959M               $119M
Total Outward Foreign Direct Investment     $1,584M                   $3M                  $7M                  $15M                 ...                 $14M
Access to debt finance - credit bureau
coverage                                    54.70%                    2.2% public          10.3% private        4.4% public          3.0% private        0.7% public
Labor Force - Aged 15-64 (in millions)      31.7                      7.2                  13.6                 6.6                  6.4                 5.3

              28
DRAFT
                                            South Africa   Mozambique   Ghana     Senegal     Zambia    Rwanda
Likelihood to Innovate - Tertiary
enrolment ratio (% of tertiary school-age
population)                                 ...            1.50%        6.20%     8.00%       2.40%     4.00%
Likelihood to Innovate - Population
having completed a tertiary degree          4.30%          …            …         …           …         …
Entrepreneurial Talent - Labor
Productivity - GDP per person employed
% growth change 1990-92 vs. 2003-05         8.40%          9.20%        0.20%     440.00%     5.70%     ...
Entrepreneurial Talent - Labor
Productivity - GDP per person employed
% growth                                    3.90%          6.20%        3.00%     3.40%       3.20%     ...
Existing ICT Access - Internet users per
100 people                                  8.6%           1.6%         4.3%      8.4%        5.5%      3.1%
Existing ICT Access - Population covered
by mobile phone network                     100%           44%          73%       85%         50%       92%
Estimate of the size of emerging middle
class with over $3,650 in annual income
(in millions)                               24,350,000     224,000      936,000   1,464,000   756,000   97,000
Estimate of emerging middle class with
over $3,650 in annual income as a
percentage of the population                50.0%          1.0%         4.0%      12.0%       6.0%      1.0%
Demand Conditions

Total Businesses Registered, 2007           553,425        …            …         1,000       ...                  455
Total Business Density, number of adults
per registered business                     57             ...          ...       6,588       ...                11,725
New businesses as a percentage of total
registered businesses                       7.47%          ...          …         2.30%       ...       ...



             29
DRAFT
                                            South Africa   Mozambique   Ghana              Senegal   Zambia   Rwanda
Cost to start a business as a percentage
of income per capita                        6.0%           13.9%        20.3%              63.1%     27.9%    8.8%
Number of MSMEs                             900,683        ...                    25,679   ...       ...      ...
MSME Density (MSMEs per 1,000 people
in the labor force)                         28.5           ...          1.9                ...       ...      ...
Number of New Businesses - Annual
Average calculated over the last four
year's data available                       35,195         ...          7,626              ...       ...      ...
Entry Density - New Business Entry per
captia for the most recent year available   0.77 (2009)    ...          0.72 (2007)        ...       ...      ...
 Related and Supporting Industries
Composite measure of access to financial
services                                    46%            12%          16%                27%       15%      23%
Strength of Sciences and Technologies
Industries - ICT exports as a percentage
of total commercial services exports in
2008                                        14.7%          27.9%        24.8%              50.7%     9.1%     19.0%
GDP                                         276445         9846         16653              13273     14314    4457
Commercial Services exports as a
percentage of GDP                           12394          488          1559               1097      297      326
Value of ICT exports                        1822           136          387                556       27       62
Strength of Sciences and Technologies
Industries - ICT exports as a percentage
of 2008 GDP                                 0.7%           1.4%         2.3%               4.2%      0.2%     1.4%
Reliability of Power Supply - T&D losses
as a percentage of output                   8%             14%          18%                25%       7%       ...
Extent of transportation infrastructure -
percentage of roads that are paved          17.3           18.7         14.9               29.3      22.0     19



             30
DRAFT
                                         South Africa             Mozambique   Ghana         Senegal   Zambia         Rwanda
Firm Strategy, Structure and Rivalry
Population 2008 (M of people)            31.7                     7.2          13.6          6.6       6.4            5.3
New Trademarks Filed                     29833                    1240         61            ...       1159           238
New Patents Filed                        5781                     40           ...           ...       ...            ...
Number of New Trademarks per 10,000
people in the labor force                9.42                     1.73         0.04          ...       1.80           0.45
Number of New Patents per 10,000
people in the labor force                1.83                     0.01         ...           ...       ...            ...
Exit Robustness - Measures of stock
market development, number of listed
companies                                411                      ...          35            ...       ...            ...
Exit Robustness - Measures of stock
market development, market
capitalization of listed companies       $805.2b                  ...          $2.5b         ...       ...            ...
Exit robustness - measures of stock
market development, stocks traded,
turnover ratio %                         83.80%                   ...          2.00%         ...       ...            ...
                                         Johannesburg Stock                    Ghana Stock             Lusaka Stock
Local stock exchange                     Exchange                 ...          Exchange      ...       Exchange       ...
Number of securities listed              334                      ...          35            ...       22             ...
Concentration of Incubators              11                       2            3             2         ...            2



                                         32 local PE providers,
                                         and 9 additional funds
Concentration of Early Stage Investors   active in South Africa   ...          2             ...       ...            ...




             31
DRAFT
   Conclusion
Five countries stand out as having the economic, political, legal, regulatory, technological, social and
demographic characteristics required to make optimal impact in poverty alleviation, while also being
conducive to supporting entrepreneurial ventures from a commercial perspective:
        Rwanda;
        Ghana;
        Senegal;
        Mozambique; and
        Zambia.

Upon comparison of these five priority countries, Ghana’s strengths can be summarized, as follows:
       Large market and growing market;
       Relatively strong ability to attract inward investment, especially regarding an emerging private
       equity market;
       Strong governance regime, and is perceived to have relatively low levels of corruption;
       Record of privatization of previously state-controlled enterprises;
       Higher access to financial services, and specifically access to credit, for entrepreneurs;
       Low corporate tax rate;
       English speaking population, especially in conducting business;
       Broadly, a better educated and larger labor force;
       Strong technology and innovation landscape, with relatively high rates of multi-national
       corporation participation in the economy, higher levels of trade, higher productivity in the
       agricultural sector, and government commitments to promoting innovation;
       Strength of existing entrepreneurial activity, especially regarding new patents and trademark
       applications; and
       Stronger market for venture exits.

Alternatively, Senegal demonstrates relative strengths in the following areas:
        Significant economic diversification, including strong manufacturing and services sectors;
        Higher consumer spending power, lower income inequality, and a larger emerging middle
        class;
        The low level of human development indicates that despite economic strengths, little has
        been invested in health and educational infrastructure, and therefore a potential for strong
        developmental impact;
        Higher internet access and network readiness;
        Strength of existing entrepreneurial activity; and
        Related and supporting industries, such as financial services, ICT exports, power supply and
        road infrastructure are all strong.


    V.      Industry Analysis

Industry Definitions
According to the National Business Incubator Association, "Business incubation is a business support
process that accelerates the successful development of start-up and fledgling companies by providing
DRAFT

 entrepreneurs with an array of targeted resources and services."79 Early stage funding for our
 purposes will be limited to equity investments – angel investment and venture capital.80 We define
 our industry as ‘equity funding $5,000 to $500,000 in early stage, high social impact, high growth
 entrepreneurs.’

 Entrepreneurs typically progress through two inter-related processes associated with the launch of
 their business. First, incubation involves a range of non-financial supports, which a new venture
 utilizes to plan and launch the business. Second, the finance process includes all activities that a
 venture undertakes in planning investment, securing funding, monitoring the elements of their finance
 function (e.g. capital structure), and investor relationship management. We intend to assist out
 entrepreneurs through both processes, as they progress through the following stages of establishing
 and growing their businesses:
      Incubation




                               FFF and Angel             1st and 2nd Stage         Later Stage
                               Investment                Venture Capital           Venture Capital
      Finance




                               Seed Capital                  Start-up                 Scale-Up
                   Milestone




                                             Feasibility Study &         Business Model                 Harvest
                                           Business Plan Complete            Proven
                                           Figure 7: Generic Phases of Entrepreneurial Growth


 Why Incubators and Early Stage Investment?
 Entrepreneurs, through the new business ventures they create, are in the unique position of driving
 economic growth that benefits entrepreneurs, their families, supply chain partners, and other
 stakeholders. Of course, this is true for a lot of private sector players; however entrepreneurs also
 have the latitude to design business models which also distribute the benefits of their activities across
 broad segments of the population. We are firm in our commitment to local entrepreneurs, as they
 are one of the strongest levers in the fight against poverty; and we are resolute in our support for
 their efforts with the two most powerful tools available to us – incubator models and private equity
 investment.

 Incubators have a track record dating back to the 1960s, and have proven an important catalyst in the
 development of successful new ventures. Incubators provide start-ups the support they need to
 create jobs, and incubators have been successful in this regard. As a point of comparison, the U.S.
 Department of Commerce Economic Development Administration recently found that incubators
 create 20-times more jobs than do community infrastructure construction programs, and at 5% of the

 79
       See http://www.nbia.org/works
 80
       Entrepreneurs will undoubtedly also seek credit through micro-finance and other financial services providers.

                   33
DRAFT

 cost.81 Firms that are provided incubator support are more likely to remain in existence. The U.S.’s
 National Business Incubator Association (NBIA) estimates that in 2005 alone, North American
 incubators assisted 27,000 start-ups, provided over 100,000 jobs, and supported companies whose
 annual revenues totaled $17 billion.82

 Access to financial capital is another critical success factor for entrepreneurs. FFF, or ‘friends, family
 and fools’ and bootstrapping are coming forms of initial seed capital. In the former, entrepreneurs
 borrow or solicit an equity investment from people with whom they are already well acquainted. In
 the latter, entrepreneurs use their own personal savings and personal access to credit in order to fund
 their venture. Another common form of funding is bank debt, and in developing countries,
 microfinance plays a role as micro-finance institutions may lend up to $2,000. Acquiring larger
 amounts of business debt is rare, but can be achieved through collateralized loans, or loans
 guaranteed against the value of other assets (i.e. real estate). When an entrepreneur utilizes all of the
 above sources of funding, he/she typically turns to equity investment for further capital infusion.
 Equity investment becomes a viable route the more sophisticated the venture and the higher the
 likelihood of sufficient returns based on realistic, aggressive growth plans. Lastly, an entrepreneurial
 team may attract a seasoned industry expert that is convinced of the model’s viability, and who
 therefore is interested in making an investment and shouldering some of the risk, but who also gets to
 share in the venture’s profits. Thus, seed capital options on the equity side, include: FFF,
 bootstrapping, and angel investment. Generally, seed capital markets are largely informal.

 The term private equity, relates to a range of investment vehicles, of which venture capital is one
 form. Venture capital, as shown above, is utilized by entrepreneurial teams that have completed a
 pilot, or feasibility study and business plan. Although for the highest potential ventures, attracting
 venture capital without having launched in earnest does occur, it is rare. Most entrepreneurial teams
 will utilize seed capital debt and equity sources through the first several years of their existence to
 demonstrate that their business model works, and that there is sufficient head room for scaling it. In
 either of these cases, when a venture capitalist makes an investment for a portion of the venture’s
 equity, they typically require a seat on the board of directors and have input into management
 decisions.83

 According to the National Venture Capital Association (U.S.) venture-capital enable entrepreneurial
 outcomes, and in so doing catalyzes job creation and economic output84:
         11% of private sector employment is with venture-backed firms;
         Venture-backed revenue is 21% of GDP;
         During 2006-2008 total private sector job growth in the U.S. was 0.2%, while venture backed
         firms outpaced this rate by 8 times – at 1.6%;
         During the same period, total revenues in U.S. private sector companies grew by 3.5%, yet
         total revenues for venture backed companies grew by 5.3%;
         From 1970 to 2008, $456 billion has been invested in over 27,000 countries.



 81
    See http://www.nbia.org/works
 82
    Ibid.
 83
    For further discussion Private Equity, see Chisholm (2009); for more on Entrepreneurial Finance, see Timmons
 & Spinelli (2003); and for more on Venture Capital, see Metrick & Yasuda (2011) and Meyer & Mathonet (2005).
 84
    NVCA (2009), p. 2

      34
DRAFT


 Business Incubation in SSA
 iDisc, the business incubator support network of infoDev, was launched in 2002, and has since
 mobilized $20 million, supporting close to 100 institutions in 50 countries. The footprint in SSA started
 in 2006 in Ghana, and now supports 44 incubators across Africa, including 3 in Ghana, 2 in Senegal, 2
 in Rwanda and 2 in Mozambique. These incubators target high-growth entrepreneurial ventures.
 There are communities of practice focused on generating benefits for the rural poor, the urban poor,
 women and youth.85 Also, the African Incubator Network (AIN) and the South African Business and
 Technology Incubation Association (SABTIA) are also regional bodies by which African incubators
 exchange knowledge capital and build relationships. The incubator community, and specifically iDisc,
 are focused on the following industry sectors:
          Agriculture (10%);
          ICTs (46%);
          International (3%);
          Manufacturing (20%);
          Mixed Use (18%); and
          Textile 3%.86

 Over the past four years, iDisc activity in SSA has been focused on job creation through the launch and
 scaling of new businesses, resultant growth in tax revenues, increased economic diversification and
 promotion of indigenous technologies.87 A recent study of the outcomes, impacts and lessons of
 global business incubation (which we presume are likely to apply within the SSA context), include: 1)
 Study and replicate the most successful business incubation models; 2) Expand regional business
 incubation networks; 3) Use technology to scale business incubation services in cost effective ways; 4)
 Promote the community of business incubators as participants in the economy; 5) Invest in developing
 innovative and entrepreneurial leaders; 6) Continue targeted investments in the ICT sector; 7) Develop
 and diffuse a policy framework for supporting ICT-enabled entrepreneurs; 8) Address the lack of risk
 capital; and 9) Promote a stronger entrepreneurial culture within the community.88

 In relation to incubation in the developing world, there are several critical success factors89:
          Volume of companies co-located is important as it leads to natural clustering & collaboration;
          Entrepreneurs will learn more from each other, and other businesses, than ‘consultants’;
          Combining start-ups with mature companies in same building encourages collaboration;
          Diversified models (incubation + office rentals) keep programs sustainable and independent;
          Not being 100% publicly funded keeps incubator focused on tenants and services provided;
          Strict entry criteria (focused on innovation & implementation) can ensure high success rates;
          Investors/entrepreneurs seeking to make new equity investments can be leveraged as
          mentors;
          Businesses seeking future clients can provide discounted professional services;
          A strong manager who monitors both mentors and companies is key;

 85
    See http://www.idisc.net/en/Index.html
 86
    Ibid.
 87
    See http://www.idisc.net/en/Page.MEIA.Incubator.Overview.html
 88
    See http://www.idisc.net/en/Page.MEIA.Study.Recommendations.html
 89
    infoDev (2009), p. 6 – 7

      35
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Nov 2010 opportunity assessment

  • 1. DRAFT DRAFT 2010 Opportunity Assessment Dale Fickett Co-founder, Profit2 dfickett@hotmail.com +353 87 998 2616 (Ireland) +1 856 481 0322 (United States)
  • 2. DRAFT This document has been prepared by Dale S. Fickett and Profit2, and is being furnished to select individuals for the purpose of conveying the nature of a new business venture model, and to develop partnering relationships with appropriate individuals and entities. It contains confidential information relating to trade secrets and intellectual property, including but not limited to: ideas, concepts, strategies, plans, research, processes, approaches, methods and other proprietary information. Readers are to treat the information herein as confidential, and agree to not compete with Profit2 or Dale S. Fickett using the information contained herein. Furthermore, readers may request permission to distribute this information from Dale S. Fickett, and should not otherwise do so. “He is now rising from affluence to poverty.” -Mark Twain “In a country well governed, poverty is something to be ashamed of. In a country badly governed, wealth is something to be ashamed of.” -Confucius Table of Contents “Poverty is my pride.” Executive Summary -The Prophet Muhammad 2
  • 3. DRAFT Table of Contents I. The African Development Context.................................................................................................. 5 Introduction – The Need for Action in Sub-Saharan Africa ................................................................ 5 Context – Global Development Efforts ............................................................................................... 5 Measuring Development Progress in Sub-Saharan Africa .................................................................. 6 Conclusion ........................................................................................................................................... 7 II. African Economy and Other Macro-Factors ................................................................................... 7 Resiliency and Growth ........................................................................................................................ 7 Economic Growth Drivers ................................................................................................................... 8 Risks to Economic Growth .................................................................................................................. 9 Additional Macro-Factors ................................................................................................................... 9 Conclusion ......................................................................................................................................... 11 III. African Entrepreneurship and Innovation ................................................................................ 11 Global Entrepreneurship................................................................................................................... 12 Sub-Saharan African Entrepreneurship ............................................................................................ 12 Alleviating Poverty through Entrepreneurship ................................................................................. 13 IV. Country Analysis........................................................................................................................ 13 Framework for Determining Attractive Markets .............................................................................. 13 Financial Return Dimension .............................................................................................................. 14 Social Return Dimension ................................................................................................................... 18 Mapping Attractive Countries........................................................................................................... 18 National Advantage Diamond Analysis ............................................................................................. 28 Conclusion ......................................................................................................................................... 32 V. Industry Analysis ........................................................................................................................... 32 Industry Definitions........................................................................................................................... 32 Why Incubators and Early Stage Investment? .................................................................................. 33 Business Incubation in SSA ............................................................................................................... 35 Private Equity in SSA ......................................................................................................................... 36 Size and Growth Rates ...................................................................................................................... 37 Value Chain Analysis ......................................................................................................................... 41 3
  • 4. DRAFT Conclusion ......................................................................................................................................... 44 VI. Next Steps ................................................................................................................................. 44 VII. Sources ...................................................................................................................................... 45 VIII. Appendices ................................................................................................................................ 46 List of African Small Business Incubators.......................................................................................... 46 List of Private Equity Providers in Africa ........................................................................................... 49 4
  • 5. DRAFT I. The African Development Context Introduction – The Need for Action in Sub-Saharan Africa There are three primary challenges for society, and for our generation – the threat of terrorism and the need for nuclear non-proliferation, containing climate change, and eradicating extreme poverty. While it is more convenient to discuss the amelioration of extreme poverty, our goal must be clear – to ensure that no human being must suffer the indignities of living on less than $1.25 per day. According to the World Bank’s World Development Indicators 2010, the world population stood at 6,697,300,000 in 2008, and one in four, or 1,374,000,000 have been doing just this.1 These people face a daily fight to meet basic survival needs, such as adequate nutrition, uncontaminated drinking water, safe shelter and access to basic health care.2 In Sub-Saharan Africa just over half the population lives in this extreme state of poverty, the highest poverty rate for any world region. Not only do these people live at subsistence level, but they are in countries of low economic development – there are also very low education and health standards. Sub-Saharan Africa, as a region, is the world’s largest collection of countries of Low Human Development. In fact, according to the UN’s Human Development Report 2010, at present, there are just over 1 billion people living in countries with these poor conditions, and just over 80% of them live in Sub-Saharan Africa.3 Context – Global Development Efforts Global development efforts, or targeted interventions to improve the livelihoods of people living in poverty, are said to have started with the 1944 establishment of the U.S.’s Marshall Plan and the establishment of the World Bank and International Monetary Fund at the Bretton Woods Conference.4 Since their inception it is estimated that $1 trillion5 has been spent in private-, civil-, and public- sector activities.6 Although there are clearly many programs targeting poverty in developed countries, “global development” efforts are generally regarded as those focused specifically on the poor living outside North America, Western Europe and developed Asia. These efforts focus on three objectives: 1) to increase the availability and widen the distribution of basic life-sustaining goods; 2) to raise the levels of living; and 3) to expand the range of economic and social choices.7 It is encouraging to note that there have been large improvements in alleviating poverty. To put today’s situation into context, in 1820, at the dawn of the industrial revolution, it is estimated that 75% of humanity lived in these conditions of poverty8. In short, technology improvements that have enabled mass production, instantaneous transmission of information, and global trade have also lifted billions out of a state of poverty. 1 World Bank (2010), p. 64 and p. 92. $1.25/day poverty population and rates are based on 2005 estimates. 2 Sachs (2005), p. 56 3 UN (2010), p. 187 4 See Führer (1996). 5 Moyo (2009), p. xix 6 See Fickett (2010), pp. 8-11, for further discussion on the background of economic development in Sub- Saharan Africa. 7 Todaro (2006), p.22 8 See http://en.wikipedia.org/wiki/Poverty_reduction 5
  • 6. DRAFT Measuring Development Progress in Sub-Saharan Africa For those that have not escaped extreme poverty, coordinated international intervention improved dramatically with the establishment of the Millennium Development Goals in 2000. Over the last ten years, through the global pursuits of these goals, it has been found that the achievement of these standards of living improvements was made easier in states experiencing economic growth, as compared to stagnant states; and that solutions in one state or region do not easily convert to others.9 As a result of these efforts, (since 2000) 37 million more children have been able to attend and complete primary school; 14 million children have been vaccinated against the measles; and the number of children (under age 5) dying has fallen from 10 million per year to 8.8 million per year. Four out of five people in developing countries now live in states that have attained gender equality in primary and secondary education; and seven out of ten people in developing countries live in states that have halved the proportion of people without access to clean drinking water.10 Economic growth remains strong in many developing countries, and achieving the Millennium Development Goals is within reach, despite setbacks incurred as a result of food crises, the financial crisis, and the resulting economic downturn. However, there is still much progress to be made in assisting the developing world in lifting their standards of living. 11 Only 16% of the developing world’s population live in countries where the proportion of people without access to basic sanitation has been halved. At present, seven out of ten countries are off-track to meet this goal in 2015. The slowest progress has been in addressing childhood malnutrition – 56% of the developing world population lives in the 102 countries that are unlikely to attain this goal.12 While the global numbers are encouraging, reaching the Millennium Development Goals in Sub- Saharan Africa is off-track in some regards. In the region, higher unemployment, falling incomes and lower migrant remittances have slowed progress towards reaching the MDGs.13 Those areas requiring most attention for SSA, include: The proportion of people living on less than $1.25/day has only decreased from 58% to 51%; Gender equality in education has improved at primary school level, but has fallen at secondary and tertiary levels; Giving birth in Sub-Saharan Africa is especially risky, where 46% of women deliver without skilled care; The spread of HIV appears to have stabilized, and more people are surviving longer (but correct transmission knowledge among the 15-24 age group is worst in Sub-Saharan Africa ; Forested area as a percentage of land area, has fallen from 31% to 28%, while billions of metric tons of carbon dioxide emissions have been increasing; and Overseas development aid continues to rise, but Africa has been short-changed. Fortunately, progress has been made regarding: Primary school enrolment ratio for 1998-99 was 58%, and has improved to 76%; and The under-5 mortality rate has fallen from 184 per 1,000 births, to 144 (but is still the world’s highest incidence rate).14 9 World Bank (2010), pp. 1 - 3 10 Ibid. 11 UN (2010b), pp. 1-3 12 Ibid. 13 IMF (2010), pp. 3 – 14 14 See UN (2010b). 6
  • 7. DRAFT Conclusion Efforts to address progress in these areas are undertaken by a wide array of development stakeholders, including: inter-governmental organisations, private sector corporations, civil-sector NGOs, and government agencies. In brief, their efforts can be categorized as: 1) Working at a macro-policy level to influence politicians and regulators to create ecosystems more conducive to economic growth that facilitates poverty alleviation; 2) meso-level interventions, such as those intended to construct and augment industry value chains or other community support systems; and 3) micro-level programs to support individuals, their families or their businesses. Note: For further discussion on global development in Sub-Saharan Africa, please see Fickett (2010): Development Stakeholders, pp. 5-7; Economic Development in Sub-Saharan Africa, pp. 8-11; and Private Investment and Economic Growth, p. 11. Economic development, or the improvement of livelihoods for those who most need it, has come as the result of government policy to enable growth in the private sector. More economic opportunity has generally meant higher incomes, better education and better health care. However, the rising tide of economic activity does not lift all ships, and there are many cases of those left behind – both individuals in countries which have improved, as well as whole nations that have struggled to improve conditions for their populations. This resultant inequality has been the driving force behind sizeable efforts by many stakeholders. These groups from the private-, civil- and public-sector have sought to address the challenges of laggard countries through interventions to spur development which addresses these inequalities in standards-of-living. Historic efforts in parts of Asia and Latin America have been commended as largely successful in improving the livelihoods for hundreds of millions. However, Sub-Saharan Africa in particular, still faces arguably the largest challenges in improving livelihoods. The nature of the development challenges in SSA range from poor access to income-generating economic activity – to low access to education – to low levels of health care. We appear to be on the cusp of a large wave of new economic growth in SSA, one which has the potential to make tremendous gains in addressing these inequalities at their most extreme, and one which necessitates concerted effort to direct benefits to those that are in most need. II. African Economy and Other Macro-Factors Resiliency and Growth Although Sub-Saharan Africa is clearly facing a range of developmental issues regarding the conditions in which people live, there is also much cause for enthusiasm related to the region’s prospects for future improvements. 2010-2020 is likely to be the first time since the industrial revolution that developing countries add more to global economic growth than developed countries15, and Africa will play a leading part in this growth. Africa (including North Africa) has gross domestic product of $1.6 trillion, roughly the size of Brazil or Russia.16 The IMF predicts a strong re-bound for Sub-Saharan Africa, with a 5% growth rate for 2010 and 5.5% for 2011. For most countries in the region, this will mean a return to 15 McKinsey (2010), p. 4 16 Ibid., p. 11 7
  • 8. DRAFT their pre-crisis level. In fact, only developing Asia is set to outpace Sub-Saharan Africa’s growth.17 The Emerging Market Private Equity Association concurs, stating, “Sub-Saharan Africa represents one of the most dramatic growth stories among emerging markets.”18 The outlook for 2011 and beyond is promising. Growth is expected to accelerate to 5.5%, and no country is expected to have negative growth in 2011 (a rare historic occurrence).19 Across the region, fiscal balances are expected to improve. Government debt-to-GDP is expected to rise, however deterioration should be mild due to anticipated debt relief, and improved tax revenues. Only a slight deterioration in the external account balances is expected as demand is expected to fall slightly, and little change in currency reserve positions is expected.20 Economic Growth Drivers The region’s growth is explained by several factors. First, policy changes of the last decade are making a difference. Political commitment has resulted in stronger fiscal and monetary stability, investments in infrastructure and education, and increases in trade.21 Second, Africa (including North Africa) has been helped by post-crisis global trade, and a rebound in commodity prices.22 The increase in global trade has been focused on faster-growing geographic segments of the global economy – China, Latin America and developing Asia.23 Also, economic activity is rebounding due to a resurgence in mining and demand for consumer and capital goods.24 Third, capital flow changes as a result of the financial crisis and the broader economic downturn are mixed. The slowing of global Investment Trends in Sub-Saharan Africa • Half of the 2010 inward FDI flows of $1.2 trillion now go to developing and transition economies • With 5.3% of global inward FDI, SSA is the smallest region for receiving investment, and is expected to remain so through 2012 • 2009 FDI flows to Africa fell 19% to $59 billion, the first decrease in a decade • In 2009 outward FDI from Africa contracted by 50% to $5 billion • The pre-crisis level of FDI is not expected to be reached again until 2012, with an estimate at $1.6 - $2 trillion • The ten year annualized return for the Africa composite index is 13.8%, compared with -1.0% for the Dow Jones and 7.3% for the MSCI Emerging Markets index Source: UNCTAD, EMPEA 17 IMF (2010), pp. 3 - 14 18 EMPEA (2010), p. 11 19 Ibid. 20 Ibid. 21 McKinsey (2010), p. 37 - 39 22 OECD (2010), pp. 7-9 23 IMF (2010), pp. 3 - 14 24 Ibid. 8
  • 9. DRAFT capital markets resulted in weaker Foreign Direct Investment (FDI) fell, especially in non-extractive industries (see below).25 However, the outlook for FDI into the ‘higher value’ services and manufacturing industries is promising, as governments enact investment-friendly policy frameworks. Interestingly, existing investments earn returns 2/3 higher than those in China, India, Indonesia and Vietnam.26 Weaker demand and higher unemployment outside Africa reduced worker remittances, while overseas development assistance (ODA) has generally held up. Fourth, past macro-economic prudence has enabled expansionary fiscal and monetary.27 Finally, Africa has a range of longer-term factors which demonstrate large expansionary headroom - large untapped natural resources (of greater value when considered in terms of rising commodity prices), growing populations with increasing levels of discretionary income, potential in hydro and solar power due to geography, and potential to displace Asia as the low-cost manufacturing hub, given proximity to European and North American consumers, long coastlines, and wage dynamics.28 Risks to Economic Growth Downside risks to the growth scenario, in the short term, include: Weakening of global demand; Depression in commodity prices, or increased price volatility; Weakened investment due to higher costs of capital; Shortfalls in overseas development aid due to developed country fiscal pressures; and Localized conflict, financial system deterioration, poor public policy changes or natural disasters. 29 Additional Macro-Factors The following table illustrates a range of other macro-factors of interest when considering African potential for economic growth and for the alleviation of African poverty (for further discussion on trends as they impact African entrepreneurship, please see section IV): Factor Source Economic Increasing economic diversification, with agriculture, wholesale and McKinsey retail, transportation, telecommunications and manufacturing accounting for 67% of growth between 2000 and 2008 Increasing demand from developing countries for African resources in Accenture timber, agriculture, fresh water and mineral deposits Large oil-exporting and middle-income countries have faced increases in IMF unemployment, but less significant than that experienced in developed markets As the financial crisis unfolded, governments were able to enact counter- IMF act decreasing investment inflows with higher fiscal spending, and monetary rates were lowered where possible Capital inflows into Africa (including North Africa), have increased from McKinsey $9B in 2000 to $62B in 2008 – relative to GDP, comparable to China 25 OECD (2010), pp. 7 - 9 26 Collier (2010), p. 61 - 63 27 See IMF (2010), pp. 3 – 14, McKinsey (2010) p. 4 28 Accenture (2010), p. 5 – 7; Collier (2010), pp. 61 – 63; and McKinsey (2010), p. 13 29 Downside risks drawn from OECD (2010), p. 7 – 10; McKinsey (2010), p. 11; and IMF (2010), p. 14 - 16 9
  • 10. DRAFT Capital flows are increasing due to intra-Africa trade, and that African Accenture traded companies enjoy ROIC that is 65% higher than those in China, Vietnam and India. Demographics & Social Increasing urbanization and changes in income have resulted in an Accenture emerging African middle class, representing 35% of the population In 1980 20% of the population lived in cities, it’s now approximately 40% McKinsey - roughly comparable to China and India. By 2030 it is expected to rise to 50%, and the top 18 cities are expected to have combined spending power of $1.3 trillion. In 2000 59M African households had income of $5000 or more; in 2014 McKinsey it is expected to rise to 106M households Africa already has more households with over $20,000 in annual income McKinsey than India Work patterns have changed, as the services industry now makes up Accenture more than 40% of Africa’s GDP By 2040 Africa is expected to have a workforce of 1.1 billion, larger than McKinsey China or India Tertiary educational enrolment have grown at 12% since 1975, but Accenture challenges remain to stem graduate emigration On average, Africans are half as expensive to employ as their counter- Accenture parts in Latin America, Asia and Central Europe Political & Regulatory African governance is improving, with over 20 countries encouraging McKinsey greater political participation since 1989. Continental coordination and trade are improving though the African Mo Ibrahim Union, the New Economic Partnership for African Development and Foundation regional trade blocs Of Africans surveyed across 19 countries – 65% hold community Mo Ibrahim meetings; 55% were active in joining others to raise issues; and 62% Foundation believe they should question leaders’ actions Almost every African nation has an independent media Mo Ibrahim Foundation Privatization of state-owned enterprises, removal of trade barriers, McKinsey strengthened regulatory and legal systems have all increased attractiveness of inward FDI Nigeria has led the region in privatization—the World Bank estimates Emerging that between 2000 and 2008, Nigeria privatized 105 enterprises valued Markets Private at nearly US$6.5 billion. Ghana privatized seven enterprises valued at Equity US$1.1 billion and South Africa saw 13 enterprises privatized for US$780 Association30 million in the same time period. Cultural Cultural variation between and within countries is significant – with Africa Guide31 performance and celebration customs, and traditional visual arts and crafts focused on family and ethnic groups Strong linguistic heritage with over 2,000 indigenous languages. Official Wikipedia32 languages in many countries tied to European colonialism. 30 See EMPEA (2010), p. 12 31 See http://www.africaguide.com/culture/index.htm 32 See http://en.wikipedia.org/wiki/Languages_of_Africa#Official_languages 10
  • 11. DRAFT Primary cultural trends, include: reverse innovation, growth in mobile Globalpost.com33 connectivity, rise of the African creative class, the Africa brand and related tourism, the rise of African / African-American initiatives, and increased trade and investment with China and India Technology Productivity is improving, currently averaging 2.% growth since 2000, McKinsey based on high mobile phone penetration rates, increasing competition and growing economies of scale Mobile phone penetration rate is currently at 50%, is among the world’s Economist fastest growing; and is creating unique innovations such as mobile banking and electronic stored value Kigali recently announced its plans to for ubiquitous wireless internet IT News Africa access, at an investment of $7.66M Increasing broadband connectivity is driving growth in African Accenture outsourcing businesses Reverse innovation and the rise of emerging market consumers are Accenture placing new demands on traditional consumer products companies in developing low-cost/high-quality offerings that meet local needs, and in selling to these consumers through unfamiliar channels Conclusion Despite the development challenges discussed in section II, there are significant predictions for economic growth in SSA. It has been demonstrated that SSA is returning to pre-crisis trends, and will rival the established BRICs as an engine for post-crisis growth. This economic growth is driven by: macro-economic stability, pro-investment/pro-business policy environments, fairly favorable capital- flow dynamics, and a range of favorable geographic and demographic factors. The challenge remains how to harness this forthcoming wave of activity to benefit the poor. Work in developmental entrepreneurship, including systems approaches, inclusive markets approaches, and sustainable livelihoods approaches looks to provide an answer. If this work offer the design of the ‘vessel’ by which we will ride this economic growth wave,34 then impact investing provides the engine by which the vessel can be powered to create exponential impact in poverty alleviation. III. African Entrepreneurship and Innovation Following the G20 summit on November 15, 2008, the leaders of the world's largest economies issued a statement explaining how they intended to restructure the world's economic architecture. On the first page of this statement, they stated: “Our work will be guided by a shared belief that market principles, open trade and investment regimes, and effectively regulated financial markets foster the dynamism, innovation, and entrepreneurship that are essential for economic growth, employment, and poverty reduction.”35 33 See http://www.globalpost.com/webblog/commerce/top-6-african-business-and-culture-trends-watch-2010 34 See Fickett (2010), pp. 3 – 5 for further elaboration on developmental entrepreneurship in the academic literature. 35 Klapper et. al. (2009), p. 2 11
  • 12. DRAFT The OECD defines “entrepreneurship” as the phenomenon associated with enterprising human action in pursuit of the generation of value through the creation or expansion of economic activity, by identifying and exploiting new products, processes or markets. It is essential for the continued dynamism of the modern market economy and a greater entry rate of new business can foster competition and economic growth.36 Specifically, entrepreneurship, or the creation of new private- sector, profit-generating businesses, has been recognized as: A key catalyst for creating new technologies, products, processes and services; An engine by which financial value is created through high potential, high growth companies; That financial value supports significant job creation; and Entrepreneurs are increasingly identifying new models for creating social impact, in areas such as housing, health care, education, the arts, and poverty alleviation. 37 Global Entrepreneurship Globally, entrepreneurship is primarily measured through the Global Entrepreneurship Monitor (GEM) and the World Bank Group Entrepreneurship Survey (WBGES) dataset. The former captures early-stage entrepreneurial activity and entrepreneurial intent, especially in the informal sector; while the latter captures formal business registration.38 Recently, the GEM found that the 2009 economic downturn, expectedly, reduced the number of people initiating new ventures for two- thirds of the 54 countries surveyed.39 Also, GEM recently found: 1) Across countries, entrepreneurial attitudes and perceptions vary widely and are positive views are generally related to higher social status and higher media visibility for successful entrepreneurs; 2) development; 3) Countries with high levels of employment protection exhibit lower start-up rates; 4) Entrepreneurial institutional supports are generally more important within countries at more advanced phases of economic development; and 5) the economic downturn has resulted in decreased informal/angel investing, as well as venture capital investments in nearly all markets. According to the findings of the WBGES: 1) In developed countries four new firms register for every 1,000 people in the labor force, while there is less than one for countries of medium and low development; 2) Data show that dynamic business creation occurs in countries that provide entrepreneurs supportive policy and regulatory environments; 3) Concurring with the GEM, almost all countries noticed a drop in new business registration as a result of the global economic downturn; and 4) Countries in which the financial services sector plays a larger role in the domestic economy, experienced sharper declines in new business formation.40 Sub-Saharan African Entrepreneurship Like other regions of the world entrepreneurship in Sub-Saharan Africa is a key component of economic activity. Since 2004 the WBGES has captured the creation of 2,690,818 new firms in SSA, 36 See Klapper et al. (2007), p. 2; Klapper, Laeven and Rajan (2007); Djankov, La Porta, Lopez de Silanes and Shleifer (2002). 37 Timmons and Spinelli (2003), p. 19. Also, see Global Entrepreneurship Monitor (2009), p. 7, in relation to social entrepreneurship. GEM found that in the 49 countries studied 1.8% of the adult population was engaged in social entrepreneurial activity. 38 Acs et. al (2007), p. 11 39 Global Entrepreneurship Monitor (2009), 5 - 7 40 See World Bank (2010b). 12
  • 13. DRAFT or 14% of the 18.7 million started globally.41 As SSA’s portion of global economic output is much smaller at 1.52%42, arguably SSA is beginning to generate a ‘more than their share’ of the world’s small businesses. Moreover, this does not account for the substantial portion of informal economic activity in SSA, which is not captured by the WBGES survey. A 2007 study of Micro, Small and Medium Enterprises (MSMEs) by the International Finance Corporation, included eight SSA countries, and captured 4.5 million such businesses, or 27.5 MSMEs per 1,000 Sub-Saharan Africans.43 Additionally, these MSMEs were shown to contribute 38% to 66% of their respective country’s employment.44 Indeed, McKinsey recently agreed with this assessment of the importance of the entrepreneurial sector in Africa’s growth, stating, “Entrepreneurship is seen as a significant component to private sector growth (in Africa).”45 Alleviating Poverty through Entrepreneurship A range of initiatives under numerous headings have been initiated to harness the power of private markets, and more specifically, entrepreneurship, to alleviate poverty – “Pro-poor growth”, “Inclusive Markets”, “Sustainable Livelihoods”, “Enterprise Development”. In short, developmental entrepreneurship is the study of utilising the establishment of small businesses as a lever to alleviate poverty in countries with low levels of economic development. There is a significant body of research supporting the assertion that new ventures can be used as a vehicle for poverty alleviation. The OECD promotes the “central role” of the private sector in poverty alleviation46; while the UN Development Program states, “The poor harbor a potential for consumption, production, innovation, and entrepreneurial activity that is largely untapped.”47 They also site many examples of businesses that are creating “value for all” by buying from, and selling to, the poor.48 Finally, the WBGES shows relationships between entrepreneurial activity and indicators of economic growth and development.49 Note: For further discussion on developmental entrepreneurship and poverty alleviation in SSA through entrepreneurship, please see Fickett (2010): Economics and Management Literature, pp. 3 – 5; Poverty Alleviation through Developmental Entrepreneurship, pp. 12 – 13; and Research on Addressing Developmental Entrepreneurship Opportunities, pp. 13 – 17. IV. Country Analysis Framework for Determining Attractive Markets Sub-Saharan Africa is a diverse collection of 46 countries, and each has a unique policy environment, structure of economic output, technology landscape and social profile. As such, it is necessary to understand which countries are the most conducive for developmental entrepreneurship ventures. 41 See WBGES Dataset 2010 available at: http://econ.worldbank.org/WBSITE/EXTERNAL/EXTDEC/EXTRESEARCH/0,,contentMDK:22731215~pagePK:642 14825~piPK:64214943~theSitePK:469382,00.html 42 World Bank (2010), p. 34 43 See IFC dataset on MSMEs available at: http://www.ifc.org/ifcext/sme.nsf/Content/Resources 44 Ibid. 45 McKinsey (2010), p. 69 46 OECD (2006), pp. 14-15, 20 47 UN Development Programme (2008), pp. 1-12 48 Ibid 49 Klapper, et. al. (2007), pp. 15 – 17, 32 13
  • 14. DRAFT In consideration of a determination of which national markets are most attractive, it is first necessary to define the two primary dimensions along which a developmental entrepreneurship opportunity should be measured – social and financial (see figure 1). First, it must provide a demonstrable impact in the alleviation of poverty in the markets in which it operates, through job creation, income increases, direct standards-of-living improvements related to the products or services provided, secondary effects related to the use of local supply chain partners, or secondary effects related to livelihood impacts – increased educational enrolment or health improvements for the families of indigenous entrepreneurs. Also, the given venture may create tertiary impacts, such as improved perceptions of entrepreneurship, spill-over effects related to knowledge capital, and improved entrepreneurial networks and role models. Second, a given venture must generate financial returns commensurate with its capital requirements and capital structure. In order for the venture to be self-sufficient over the long-term, it must create enough economic value to repay creditors and/or generate risk-adjusted returns for providers of equity capital. Initiatives reliant on grants and subsidies are inherently time-bound due to the nature of the financing. Developmental entrepreneurship ventures are self-sustaining. Note: For further discussion on the social and financial components of developmental entrepreneurship opportunities, please see Fickett (2010), pp. 20 – 24. Illustrative Not-for-Profit and Most Attractive Social Return Dimension Public Sector Space Opportunities Least Attractive Private Sector Space Opportunities Financial Return Dimension Figure 1: Mapping Social and Financial Returns Financial Return Dimension The WBGES demonstrates a range of considerations to utilize when comparing countries’ conduciveness for entrepreneurial activity. First, the quality and efficiency of the legal, regulatory 14
  • 15. DRAFT and governance environments are the primary determinants of entrepreneurial activity.50 Interestingly, Ghana and South Africa have recently been found to be less corrupt than China, India and Brazil.51 Second, business density, or the number of registered business per member of the labor force, is another key indicator of entrepreneurial conduciveness.52 Third, the Doing Business53 rankings are strong indicators of business density and entry, or the number of new businesses registered.54 Forth, and intuitively, the cost of starting a business as a percentage of per capita Gross National Income (GNI) is also a key factor in entrepreneurial activity. For every 10 percentage points decrease in the cost of starting a business (as a percentage of per capita GNI), the business entry rate will increase by 1%.55 Fifth, the log Gross Domestic Product (GDP) per capita and domestic credit accessibility are both strongly correlated with business entry, however no causal relationship has been established.56 Concurring with these points, the IFC recently found that businesses are created at a faster rate in countries with good governance, a strong regulatory and legal system, low corporate taxes, and less administrative procedures when dealing with public-sector agencies.57 The extent to which the national environment is supportive of entrepreneurship and innovation is another important dynamic in relation to the attractiveness of a given country. According to a recent report of the OECD, “the major function of SMEs and entrepreneurship in innovation is the introduction of advances in products, processes, organizational methods and marketing techniques into the economy.”58 Innovation drives the creation of jobs and economic growth; and innovation policy seeks to foster supportive environments. It happens in developed and developing countries alike; and innovation policy must take into account local conditions, economic inequalities, demographic challenges, and activity of the informal sector.59 The European Union Lisbon Treaty identified three factors in the uptake of new technology – R&D expenditure, structural reforms, and market de-regulation; and subsequently, a 2007 African Union summit adopted a science and technology plan of action, with the New Economic Partnership for African Development (NEPAD) overseeing a science and technology program.60 Furthermore, innovation is at the heart of economic development, social welfare and protection of the environment – with the World Bank declaring, “Innovation is the main source of increased performance, of getting more out of limited resources, of finding new ways to use existing resources, and to mobilize people to produce better goods and services.”61 The following table provides selected areas of African innovation by industry sector, including both opportunities and recent innovations: 50 Klapper, et al. (2007), p. 2-3, 15 - 18 51 See Transparency International (2010). 52 Ibid. 53 See World Bank (2010c). 54 Klapper, et. al. (200&), pp. 18 - 21 55 Ibid. 56 Ibid. 57 IFC (2010), p. 1 58 OECD (2010b), p. 32 59 OECD (2010c), p. 9 - 12 60 See OECD (2009), p. 81; OECD (2010c), p. 9 - 12 61 World Bank (2010d), pp. 22 - 24 15
  • 16. DRAFT Innovation Instances and Opportunities Source Agribusiness Agricultural productivity improvements provide a significant opportunity, as World Bank productivity is the primary driver of poverty reduction, as livelihood impact is (2009) gauged to be 4 times greater in agriculture than other sectors, and as crop yields in SSA have remained stagnant since the 1960s. 70% of people live in rural communities, and 90% of rural populations depend on agriculture for their primary source of income. Research in high-yield seedlings through Cameroon’s Institute of Agricultural Accenture Research for Development Financial Services Safaricom Ltd., with its M-PESA offering, allows customers to send money by Accenture using mobile SMS services. There are currently 6 million users. There are now similar services in Tanzania, Uganda, Rwanda, Sierra Leone, South Africa and Somalia. South Africa’s First National Bank has introduced an eWallet solution. Accenture Mobile banking product enabling Kenyan farmers to purchase insurance against Accenture poor weather conditions and low crop yields. Aquaculture Aquaculture has a demonstrated capability to reduce poverty, improve World Bank livelihoods, and be a significant engine of growth, yet the fisheries sector is (2007) poorly planned, inadequately funded and neglected by governments. Health Care Introduction of telemedicine call centers and mobile clinics McKinsey Shifting first-line medical inquiries to nurse-practitioners to better utilize McKinsey doctors’ capacity Information & Communication Technologies Introduction of solar powered internet kiosks in Kenya, Nigeria, Rwanda, and Accenture Zambia. Opportunities related to Africa’s position as the fastest-growing region for OECD (2009) mobile phone use, and the only region where mobile phone penetration trumps fixed-line prevalence. Algeria, Botswana, Mauritius and Rwanda have stated ambitions of becoming OECD (2009) regional ICT hubs. The ability to capture an innovative idea, to translate that idea to a suitable offering, and to deliver it to market in a profitable fashion is dependent upon the dynamics of the geographic and product market, and the capabilities of the firm. Differences in total factor productivity account for roughly half the differences in income across countries, and are generally associated with differences in technological progress.62 A country’s ability to harness innovation is therefore a key element in the determination of a country’s attractiveness for developmental entrepreneurship activities. Simply put, the more innovation that is currently present in a given market, the more that there is likely to be in the future. There are several other factors which provide insight into a given country’s ability to support entrepreneurship and innovation. One of the strongest determinants of entrepreneurial and 62 de Mel, et. al (2009), p. 23 16
  • 17. DRAFT innovation potential is the educational level achieved by the individual entrepreneur.63 It stands to reason that a country with a higher proportion of its population achieving tertiary education, is more conducive to innovation than one with a lower level of educational achievement. Also, as one might expect, the extent to which a country invests in research and development activities is also positively correlated to growth and innovation.64 International relationships through trade and receipt of inward FDI are also strong indicators of innovation. The extent to which a country receives inward FDI, is a strong indicator of its ability to support private-sector activity. According to Gorodnichenko et. al. vertical transfer of capabilities from foreign to domestic firms and FDI spill-over are significant. .65 Two industries – infrastructure and natural resources dominate as destinations for inward FDI, and along with activity in the informal sector, are strong loci of innovation.66 Pressure from foreign competition has a positive effect on innovation, as these firms are more likely to upgrade their product, acquire a new technology, and obtain a new accreditation.67 Furthermore, globally engaged firms are larger, more productive, more capital intensive, and pay higher wages than purely domestic firms. In short, engaging in global supply chains, through either trade or receipt of investment, tends to spur innovation. There are a range of factors which serve as indicators of a given county’s conduciveness for entrepreneurial activity, and these factors serve as the components for our ‘Business Viability Index’. The economic factors include: Market Size, as measured in 2008 GDP;68 Market Growth, as measured by a simple average of the 2009-2011 estimates of real GDP growth;69 Global Competitiveness, as measured by the World Economic Forum’s Global Competitiveness Index, including assessments of institutions, infrastructure, macro- economic environment, health and primary education, higher education and training, goods market efficiency, labor market efficiency, financial market development, technological readiness, market size, business sophistication, and innovation;70 Attractiveness as an Investment Destination, as measured by 2008 inward FDI as a proportion of GDP;71 Strength of Exporting Capabilities, as measured by the 2008 value of exports per capita;72 The political, legal and regulatory factors include: Strength of Governance, utilizing an average of the World Bank governance indicators across the six dimensions – voice and accountability, political stability and absence of 63 Ibid. 64 Ibid. 65 Şeker (2009), p. 2 66 OECD (2010c), p. 65 – 66, p. 83 67 Gorodnichenko et. al. (2009), p. 15, 28 68 Analysis conducted using data from UN (2010), p. 206 – 208. 69 Analysis conducted using data from IMF (2010), p. 72. 70 Analysis conducted using data from WEF (2010), p. 15. 71 Analysis conducted using data from OECD (2010), p. 252 – 253. 72 Analysis conducted using data from World Bank (2010), p. 238 – 241, p. 246 – 249. 17
  • 18. DRAFT violence or terrorism, government effectiveness, regulatory quality, rule of law, and control of corruption;73 Ease of Doing Business, drawing from the World Bank’s Doing Business ranking, including starting a business, dealing with construction permits, registering a property, getting credit, protecting investors, paying taxes, trading across borders, enforcing contracts, and closing a business74; and Corruption Perception, as measured by Transparency International’s corruption perception index.75 Social Return Dimension The extent to which developmental entrepreneurship initiatives will create poverty alleviation impact is by a more straight-forward set of factors. First, it’s necessary to work in an area in which there are significant amounts of people living below the $1.25/day international poverty line. Second, those countries in which levels of human development, including education and health care provision, are lower provide greater opportunities to make a social impact. Utilising these two factors, we have constructed our ‘Social Impact Index’: Number of People Living on $1.25/day76; and Human Development Index Value.77 Mapping Attractive Countries Utilizing the Business Viability Index and the Social Impact Index, we have categorized the 46 SSA countries accordingly. Please note, that the diagrams below also provide the size of the country’s economy (bubble diameter is on a logarithmic scale), the bubble text indicates the 2010 estimate of GDP growth, and the bubble color indicates the country’s level of human development (red=low, yellow=medium, and green=high): 73 Analysis conducted using data from Kaufman et. al. (2010). 74 Analysis conducted using data from World Bank (2010c). 75 Analysis conducted using data from Transparency International (2010). 76 Analysis conducted using data from UN (2010). 77 Ibid. 18
  • 19. DRAFT 100 Low Social Impact Potential and Low Business Viability Climate Ethiopia 8% 80 Social Impact Index 60 Guinea Côte 3% d’Ivorie Sudan 3% 4.2% 40 Togo Comoros 3.3% Mauritania 2.1% -1% 20 Congo 10.6% Equatorial Guinea São Tomé 0.9% and Príncipe 4.5% Gabon 4.5% 10 20 30 40 50 60 70 80 90 100 Business Viability Index Note: Seychelles and Eritrea social impact index based on GNI per captia due to lack of data. Mauritania size of economy, Mauritania 2009 growth rate est. and Sudan 2009 growth rate est. based on CIA Factbook data. High Social Impact Potential and Low Business Viability Climate Democratic Rep. 100 of Congo Niger 5.4% 3.5% Zimbabwe Eritrea 5.9% 1.8% 80 Burundi Chad Guinea- 3.9% 4.3% Bissau Sudan 3.5% 4.2% Social Impact Index 60 Guinea Angola Sierra 3% 5.9% Leone 4.5% Central African Republic 40 3.3% 20 0 10 20 30 40 50 60 70 80 90 100 Business Viability Index Note: Seychelles and Eritrea social impact index based on GNI per captia due to lack of data. Mauritania size of economy, Mauritania 2009 growth rate est. and Sudan 2009 growth rate est. based on CIA Factbook data. 19
  • 20. DRAFT 100 Low Social Impact Potential and High Business Viability Climate 80 Social Impact Index 60 Kenya 4.1% South Africa Cameroon 3% 40 Lesotho Benin 2.6% Gambia 5.6% 2.8% 5% Botswana 6.6% Swaziland 20 2% Cape Verde Namibia 4.1% 4.4% Mauritius Seychelles 3.6% 0.7% 0 10 20 30 40 50 60 70 80 90 100 Business Viability Index Note: Seychelles and Eritrea social impact index based on GNI per captia due to lack of data. Mauritania size of economy, Mauritania 2009 growth rate est. and Sudan 2009 growth rate est. based on CIA Factbook data. High Social Impact Potential and High Business Viability Climate 100 Mozambique Ethiopia 6.5% Tanzania 8% Nigeria 6.5% 80 7.4% Burkina Zambia Faso 6.6% 4.4% Malawi Senegal Social Impact Index 60 6% Rwanda 4% Mali 5.4% 5.1% Ghana Angola Uganda 5% 5.9% 5.8% Madagascar -2% 40 Liberia 6.3%$ 20 0 10 20 30 40 50 60 70 80 90 100 Business Viability Index Note: Seychelles and Eritrea social impact index based on GNI per captia due to lack of data. Mauritania size of economy, Mauritania 2009 growth rate est. and Sudan 2009 growth rate est. based on CIA Factbook data. 20
  • 21. DRAFT To determine a group of five countries for closer analysis for factors more specific to entrepreneurial conduciveness, we utilize the following diagram: High Social Impact Potential and Social Impact Index High Business Viability Climate Mozambique Ethiopia Burkina Faso Nigeria Senegal Tanzania Zambia Uganda Liberia Ghana Malawi Rwanda Angola Mali Madagascar Business Viability Index The following tables illustrates the data gathered for the five priority countries and for South Africa (which serves as a point of comparison given its economic leadership in SSA, including supplementary factors, not included in the business viability index and social impact index78: 78 References for all data provided in the tables that follow are available upon request. 21
  • 22. DRAFT South Africa Mozambique Ghana Senegal Zambia Rwanda Economic Landscape Market Size - 2008 GDP 292.2B 18.7B 34.1B 21.9B 17.1B 10B Market Growth - Simple average of the 2009 - 2011 estimated real GDP growth rates (arrow indicates trend) 1.6↑ 6.8↑ 6.3%↑ 3.5↑ 6.4→ 5.1↑ Global Competitiveness - World Economic Forum Global Competitiveness Index 4.32 3.32 3.56 3.67 3.55 4.00 Attractiveness as an Investment Destination - 2008 FDI for every $10,000 of 2008 GDP $183 $313 $621 $322 $549 $103 Stength of Exporting Capabilities - 2008 value of exports per capita $1,913 $138 $308 $286 $428 $59 Economic Diversification - 2008 manufacturing and services as a percentage of GDP 82% 61% 47% 76% 45% 52%
  • 23. DRAFT South Africa Mozambique Ghana Senegal Zambia Rwanda Economic Landscape Non Resource Non Resource Non Resource Non Resource Resource Rich- Non Resource IMF Classification Rich-Coastal Rich-Coastal Rich-Coastal Rich-Coastal Non Oil (copper) Rich - Landlocked 2009 Real Per Capita GDP - 2000 PPP, 2000 exchange rates $3,691 $395 $347 $522 $436 $345 Consumer prices / inflation - annual percentage change Supplementary Considerations 2009 7.1% 3.3% 19.3% -1.7% 13.4% 10.4% 2009 Overall fiscal balance - percentage of GDP -5.3% -5.6% -9.8% -5.2% -3.2% -2.3% 2009 Overall government debt - percentage of GDP 30.8% 29.3% 66.5% 32.0% 27.7% 20.2% 2009 Trade Balance 0.1 -14.1 -14.4 -19.2 7.1 -14.7 2009 Reserves - months of imports goods and services 4.6 4.7 2.7 4.5 4.1 5.1 Highest marginal corporate tax rate 35% 32% 25% .. 35% .. UNCTAD Outward FDI performance index 2005- 2007 (measures importance of a country's outward FDI relative to its proportion of global GDP. (higher = greater importance) 0.534 0.001 ... ... 0.014 0.139 23
  • 24. DRAFT South Africa Mozambique Ghana Senegal Zambia Rwanda Legal, Regulatory & Political Landscape Strength of Governance - Average of the World Bank governance indicators percentiles across six dimensions 59.86 45.20 55.58 40.78 40.68 38.76 Ease of Doing Business - Index Components World Bank Doing Business 2011 Rank amongst other Sub-Saharan African states 2 13 5 23 7 4 Corruption Perception - Transparency International corruption perception index 4.5 2.7 4.1 2.9 3 4 Value of 2000-2008 Supp. privatized enterprises (previously semi-state) $780 billion ... $6.5 billion ... ... ... Business Viability Index 59.7 69.6 84.6 76.1 76.8 72.0 24
  • 25. DRAFT South Africa Mozambique Ghana Senegal Zambia Rwanda Social Landscape Component Number of People living below $1.25/day 12,759,000 16,732,000 7,020,000 4,087,000 8,101,000 7,430,000 Index Human Development Index Value 0.597 0.284 0.363 0.291 0.382 0.385 s Dominant business language English Portuguese English French English French, English Gross National Income at PPP - 2008, Billion $ 476,200,000,000 17,200,000,000 30,900,000,000 21,700,000,000 15,500,000,000 10,800,000,000 Lowest 20% 3.10% 2.10% 5.20% 6.20% 3.60% 5.40% 2008 Population 48,700,000 22,400,000 23,400,000 12,200,000 12,600,000 9,700,000 Gini Coefficient 57.8 47.1 42.8 39.2 50.7 46.7 Bottom Quintile GNI per Supplementary Considerations capita $1,515.63 $119.02 $343.33 $551.39 $221.43 $300.62 Second Quintile GNI per capita $2,737.91 $215.00 $647.05 $942.70 $479.76 $501.03 Third Quintile GNI per capita $4,840.23 $380.09 $977.18 $1,360.70 $787.30 $734.85 Fourth Quintile GNI per capita $9,191.54 $721.79 $1,445.96 $1,956.56 $1,267.06 $1,091.13 Top Quintile GNI per capita $30,605.87 $2,403.39 $3,189.04 $4,082.09 $3,395.24 $2,939.38 Life expectancy at birth 52.0 48.4 57.1 56.2 47.3 51.1 Mean years of schooling 8.2 1.2 7.1 3.5 6.5 3.3 Social Impact Index 45.0 84.0 62.0 63.0 63.0 60.0 25
  • 26. DRAFT South Africa Mozambique Ghana Senegal Zambia Rwanda Technology Landscape Mobile and Fixed Line Phone Subscriptions per 100 people 102 20 50 46 29.0 14 Population 50.5 24.3 Mobile and Fixed Line Phone Subscriptions 51.5 12.2 Network Readiness Index Global Rank 62 116 98 75 97.0 ... 2005-2007 Agriculture value added per worker 2000 $ €3,077 €173 €378 €224 €232 €226 Improvements in Agricultural Productivity - Difference between 1990-92 and 2005-07 agricultural value added per worker (in 2000 $) $928 $56 $26 -$27 $43 $33 R&D Expenditures as a % of GDP 2000-07 0.96 0.50 … 0.09 0.03 ... Measure of Relationships with MNCs as a predictor of innovation likelihood - exports as a percentage of GDP 2008 35% 33% 42% 25% 37% 15% Measure of Relationships with MNCs as a predictor of innovation likelihood - imports as a percentage of GDP 2008 38% 46% 75% 47% 34% 31% Role in the African Ministerial Council on Science and Steering Steering Steering Technology Secretariat Host Committee Committee AMCOST Chair ... Committee 26
  • 27. DRAFT South Africa Mozambique Ghana Senegal Zambia Rwanda Demographic Landscape Population between aged 15-64 / Labor Force 31,655,000 11,872,000 13,572,000 6,588,000 6,426,000 5,335,000 Environmental Landscape Environmental Commitment - participation in major international treaties in 1973- 2001 (of 9) 9 9 9 9 7 8 2007 Arable Land - hectares per 100 people 30.7 21.2 18.2 26.3 43.8 12.7 27
  • 28. DRAFT National Advantage Diamond Analysis Utilizing Michael Porter’s framework for determining national advantage, we constructed the following table for in depth analysis of th five priority the countries: South Africa Mozambique Ghana Senegal Zambia Rwanda Factor Conditions * A portion of the $64M in country-specific funds, dedicated to Angola, Early Stage Private Equity Raised - Namibia and January 2009 - July 2010 (in billions) $1,761.25m ... Ghana ... ... ... Local pension funds investing in private equity funds Yes ... Yes ... ... ... *Has received small-scale PE attention as a part of EAC Early Stage Private Equity Invested $723m ... $20m ... ... investment 2009 Inward Foreign Direct Investment $5,696M $881M $1,685M $208M $959M $119M Total Outward Foreign Direct Investment $1,584M $3M $7M $15M ... $14M Access to debt finance - credit bureau coverage 54.70% 2.2% public 10.3% private 4.4% public 3.0% private 0.7% public Labor Force - Aged 15-64 (in millions) 31.7 7.2 13.6 6.6 6.4 5.3 28
  • 29. DRAFT South Africa Mozambique Ghana Senegal Zambia Rwanda Likelihood to Innovate - Tertiary enrolment ratio (% of tertiary school-age population) ... 1.50% 6.20% 8.00% 2.40% 4.00% Likelihood to Innovate - Population having completed a tertiary degree 4.30% … … … … … Entrepreneurial Talent - Labor Productivity - GDP per person employed % growth change 1990-92 vs. 2003-05 8.40% 9.20% 0.20% 440.00% 5.70% ... Entrepreneurial Talent - Labor Productivity - GDP per person employed % growth 3.90% 6.20% 3.00% 3.40% 3.20% ... Existing ICT Access - Internet users per 100 people 8.6% 1.6% 4.3% 8.4% 5.5% 3.1% Existing ICT Access - Population covered by mobile phone network 100% 44% 73% 85% 50% 92% Estimate of the size of emerging middle class with over $3,650 in annual income (in millions) 24,350,000 224,000 936,000 1,464,000 756,000 97,000 Estimate of emerging middle class with over $3,650 in annual income as a percentage of the population 50.0% 1.0% 4.0% 12.0% 6.0% 1.0% Demand Conditions Total Businesses Registered, 2007 553,425 … … 1,000 ... 455 Total Business Density, number of adults per registered business 57 ... ... 6,588 ... 11,725 New businesses as a percentage of total registered businesses 7.47% ... … 2.30% ... ... 29
  • 30. DRAFT South Africa Mozambique Ghana Senegal Zambia Rwanda Cost to start a business as a percentage of income per capita 6.0% 13.9% 20.3% 63.1% 27.9% 8.8% Number of MSMEs 900,683 ... 25,679 ... ... ... MSME Density (MSMEs per 1,000 people in the labor force) 28.5 ... 1.9 ... ... ... Number of New Businesses - Annual Average calculated over the last four year's data available 35,195 ... 7,626 ... ... ... Entry Density - New Business Entry per captia for the most recent year available 0.77 (2009) ... 0.72 (2007) ... ... ... Related and Supporting Industries Composite measure of access to financial services 46% 12% 16% 27% 15% 23% Strength of Sciences and Technologies Industries - ICT exports as a percentage of total commercial services exports in 2008 14.7% 27.9% 24.8% 50.7% 9.1% 19.0% GDP 276445 9846 16653 13273 14314 4457 Commercial Services exports as a percentage of GDP 12394 488 1559 1097 297 326 Value of ICT exports 1822 136 387 556 27 62 Strength of Sciences and Technologies Industries - ICT exports as a percentage of 2008 GDP 0.7% 1.4% 2.3% 4.2% 0.2% 1.4% Reliability of Power Supply - T&D losses as a percentage of output 8% 14% 18% 25% 7% ... Extent of transportation infrastructure - percentage of roads that are paved 17.3 18.7 14.9 29.3 22.0 19 30
  • 31. DRAFT South Africa Mozambique Ghana Senegal Zambia Rwanda Firm Strategy, Structure and Rivalry Population 2008 (M of people) 31.7 7.2 13.6 6.6 6.4 5.3 New Trademarks Filed 29833 1240 61 ... 1159 238 New Patents Filed 5781 40 ... ... ... ... Number of New Trademarks per 10,000 people in the labor force 9.42 1.73 0.04 ... 1.80 0.45 Number of New Patents per 10,000 people in the labor force 1.83 0.01 ... ... ... ... Exit Robustness - Measures of stock market development, number of listed companies 411 ... 35 ... ... ... Exit Robustness - Measures of stock market development, market capitalization of listed companies $805.2b ... $2.5b ... ... ... Exit robustness - measures of stock market development, stocks traded, turnover ratio % 83.80% ... 2.00% ... ... ... Johannesburg Stock Ghana Stock Lusaka Stock Local stock exchange Exchange ... Exchange ... Exchange ... Number of securities listed 334 ... 35 ... 22 ... Concentration of Incubators 11 2 3 2 ... 2 32 local PE providers, and 9 additional funds Concentration of Early Stage Investors active in South Africa ... 2 ... ... ... 31
  • 32. DRAFT Conclusion Five countries stand out as having the economic, political, legal, regulatory, technological, social and demographic characteristics required to make optimal impact in poverty alleviation, while also being conducive to supporting entrepreneurial ventures from a commercial perspective: Rwanda; Ghana; Senegal; Mozambique; and Zambia. Upon comparison of these five priority countries, Ghana’s strengths can be summarized, as follows: Large market and growing market; Relatively strong ability to attract inward investment, especially regarding an emerging private equity market; Strong governance regime, and is perceived to have relatively low levels of corruption; Record of privatization of previously state-controlled enterprises; Higher access to financial services, and specifically access to credit, for entrepreneurs; Low corporate tax rate; English speaking population, especially in conducting business; Broadly, a better educated and larger labor force; Strong technology and innovation landscape, with relatively high rates of multi-national corporation participation in the economy, higher levels of trade, higher productivity in the agricultural sector, and government commitments to promoting innovation; Strength of existing entrepreneurial activity, especially regarding new patents and trademark applications; and Stronger market for venture exits. Alternatively, Senegal demonstrates relative strengths in the following areas: Significant economic diversification, including strong manufacturing and services sectors; Higher consumer spending power, lower income inequality, and a larger emerging middle class; The low level of human development indicates that despite economic strengths, little has been invested in health and educational infrastructure, and therefore a potential for strong developmental impact; Higher internet access and network readiness; Strength of existing entrepreneurial activity; and Related and supporting industries, such as financial services, ICT exports, power supply and road infrastructure are all strong. V. Industry Analysis Industry Definitions According to the National Business Incubator Association, "Business incubation is a business support process that accelerates the successful development of start-up and fledgling companies by providing
  • 33. DRAFT entrepreneurs with an array of targeted resources and services."79 Early stage funding for our purposes will be limited to equity investments – angel investment and venture capital.80 We define our industry as ‘equity funding $5,000 to $500,000 in early stage, high social impact, high growth entrepreneurs.’ Entrepreneurs typically progress through two inter-related processes associated with the launch of their business. First, incubation involves a range of non-financial supports, which a new venture utilizes to plan and launch the business. Second, the finance process includes all activities that a venture undertakes in planning investment, securing funding, monitoring the elements of their finance function (e.g. capital structure), and investor relationship management. We intend to assist out entrepreneurs through both processes, as they progress through the following stages of establishing and growing their businesses: Incubation FFF and Angel 1st and 2nd Stage Later Stage Investment Venture Capital Venture Capital Finance Seed Capital Start-up Scale-Up Milestone Feasibility Study & Business Model Harvest Business Plan Complete Proven Figure 7: Generic Phases of Entrepreneurial Growth Why Incubators and Early Stage Investment? Entrepreneurs, through the new business ventures they create, are in the unique position of driving economic growth that benefits entrepreneurs, their families, supply chain partners, and other stakeholders. Of course, this is true for a lot of private sector players; however entrepreneurs also have the latitude to design business models which also distribute the benefits of their activities across broad segments of the population. We are firm in our commitment to local entrepreneurs, as they are one of the strongest levers in the fight against poverty; and we are resolute in our support for their efforts with the two most powerful tools available to us – incubator models and private equity investment. Incubators have a track record dating back to the 1960s, and have proven an important catalyst in the development of successful new ventures. Incubators provide start-ups the support they need to create jobs, and incubators have been successful in this regard. As a point of comparison, the U.S. Department of Commerce Economic Development Administration recently found that incubators create 20-times more jobs than do community infrastructure construction programs, and at 5% of the 79 See http://www.nbia.org/works 80 Entrepreneurs will undoubtedly also seek credit through micro-finance and other financial services providers. 33
  • 34. DRAFT cost.81 Firms that are provided incubator support are more likely to remain in existence. The U.S.’s National Business Incubator Association (NBIA) estimates that in 2005 alone, North American incubators assisted 27,000 start-ups, provided over 100,000 jobs, and supported companies whose annual revenues totaled $17 billion.82 Access to financial capital is another critical success factor for entrepreneurs. FFF, or ‘friends, family and fools’ and bootstrapping are coming forms of initial seed capital. In the former, entrepreneurs borrow or solicit an equity investment from people with whom they are already well acquainted. In the latter, entrepreneurs use their own personal savings and personal access to credit in order to fund their venture. Another common form of funding is bank debt, and in developing countries, microfinance plays a role as micro-finance institutions may lend up to $2,000. Acquiring larger amounts of business debt is rare, but can be achieved through collateralized loans, or loans guaranteed against the value of other assets (i.e. real estate). When an entrepreneur utilizes all of the above sources of funding, he/she typically turns to equity investment for further capital infusion. Equity investment becomes a viable route the more sophisticated the venture and the higher the likelihood of sufficient returns based on realistic, aggressive growth plans. Lastly, an entrepreneurial team may attract a seasoned industry expert that is convinced of the model’s viability, and who therefore is interested in making an investment and shouldering some of the risk, but who also gets to share in the venture’s profits. Thus, seed capital options on the equity side, include: FFF, bootstrapping, and angel investment. Generally, seed capital markets are largely informal. The term private equity, relates to a range of investment vehicles, of which venture capital is one form. Venture capital, as shown above, is utilized by entrepreneurial teams that have completed a pilot, or feasibility study and business plan. Although for the highest potential ventures, attracting venture capital without having launched in earnest does occur, it is rare. Most entrepreneurial teams will utilize seed capital debt and equity sources through the first several years of their existence to demonstrate that their business model works, and that there is sufficient head room for scaling it. In either of these cases, when a venture capitalist makes an investment for a portion of the venture’s equity, they typically require a seat on the board of directors and have input into management decisions.83 According to the National Venture Capital Association (U.S.) venture-capital enable entrepreneurial outcomes, and in so doing catalyzes job creation and economic output84: 11% of private sector employment is with venture-backed firms; Venture-backed revenue is 21% of GDP; During 2006-2008 total private sector job growth in the U.S. was 0.2%, while venture backed firms outpaced this rate by 8 times – at 1.6%; During the same period, total revenues in U.S. private sector companies grew by 3.5%, yet total revenues for venture backed companies grew by 5.3%; From 1970 to 2008, $456 billion has been invested in over 27,000 countries. 81 See http://www.nbia.org/works 82 Ibid. 83 For further discussion Private Equity, see Chisholm (2009); for more on Entrepreneurial Finance, see Timmons & Spinelli (2003); and for more on Venture Capital, see Metrick & Yasuda (2011) and Meyer & Mathonet (2005). 84 NVCA (2009), p. 2 34
  • 35. DRAFT Business Incubation in SSA iDisc, the business incubator support network of infoDev, was launched in 2002, and has since mobilized $20 million, supporting close to 100 institutions in 50 countries. The footprint in SSA started in 2006 in Ghana, and now supports 44 incubators across Africa, including 3 in Ghana, 2 in Senegal, 2 in Rwanda and 2 in Mozambique. These incubators target high-growth entrepreneurial ventures. There are communities of practice focused on generating benefits for the rural poor, the urban poor, women and youth.85 Also, the African Incubator Network (AIN) and the South African Business and Technology Incubation Association (SABTIA) are also regional bodies by which African incubators exchange knowledge capital and build relationships. The incubator community, and specifically iDisc, are focused on the following industry sectors: Agriculture (10%); ICTs (46%); International (3%); Manufacturing (20%); Mixed Use (18%); and Textile 3%.86 Over the past four years, iDisc activity in SSA has been focused on job creation through the launch and scaling of new businesses, resultant growth in tax revenues, increased economic diversification and promotion of indigenous technologies.87 A recent study of the outcomes, impacts and lessons of global business incubation (which we presume are likely to apply within the SSA context), include: 1) Study and replicate the most successful business incubation models; 2) Expand regional business incubation networks; 3) Use technology to scale business incubation services in cost effective ways; 4) Promote the community of business incubators as participants in the economy; 5) Invest in developing innovative and entrepreneurial leaders; 6) Continue targeted investments in the ICT sector; 7) Develop and diffuse a policy framework for supporting ICT-enabled entrepreneurs; 8) Address the lack of risk capital; and 9) Promote a stronger entrepreneurial culture within the community.88 In relation to incubation in the developing world, there are several critical success factors89: Volume of companies co-located is important as it leads to natural clustering & collaboration; Entrepreneurs will learn more from each other, and other businesses, than ‘consultants’; Combining start-ups with mature companies in same building encourages collaboration; Diversified models (incubation + office rentals) keep programs sustainable and independent; Not being 100% publicly funded keeps incubator focused on tenants and services provided; Strict entry criteria (focused on innovation & implementation) can ensure high success rates; Investors/entrepreneurs seeking to make new equity investments can be leveraged as mentors; Businesses seeking future clients can provide discounted professional services; A strong manager who monitors both mentors and companies is key; 85 See http://www.idisc.net/en/Index.html 86 Ibid. 87 See http://www.idisc.net/en/Page.MEIA.Incubator.Overview.html 88 See http://www.idisc.net/en/Page.MEIA.Study.Recommendations.html 89 infoDev (2009), p. 6 – 7 35