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UNIVERSITY OF PRETORIA



    Financial literacy, components of a business
              plan & marketing plan
 



                         BY: Christopher Fakudze




                                                   1
Outline


•   Reflect on agribusiness plan (the business plan)

•   Problem statement
     – Known & unknown
•   Research objectives and hypothesis
•   Theoretical and conceptual frameworks
•   Methods and procedures
•   Contribution of study
•   Expected results & output
•   Proposed plan and budget




                                                       2
The general problem: background with stylized
facts

•   Owing to challenges hindering smallholder farming i.e.
    cost of production generally limiting
•   Access to credit dominates rural development & research
    agendas
•   Dating as far back as 1950s,conventional wisdom
    favoured government targeted credit intervention
•   However, poor record of subsidised/targeted credit
    leading to liberalisation
•   Emphasis on less targeting of loans; reduction of
    transaction costs; and improving viability of market




                                                              3
Cont’


• Paradigm shift: microcredit-microfinance &
  commercialisation >>1990s;
  microfinance-financial inclusion >>2000s
• Access to credit for smallholder farmers in SA is
  crucial
• Urgency motivated by a trio of long-standing
  circumstances




                                                      4
The general problem cont’



           -a need to lead the poor out of poverty




                                -interventions introduced

                                                            5
Interventions implemented
         • Micro-finance Apex fund
         • Micro Agricultural Finance Schemes of South
            Africa (MAFISA)
              – MAFISA piloted (Limpopo, Kwazulu Natal &
                 Eastern Cape)
•   Comprehensive Agricultural Support Programme (CASP)
    under the Department of Agriculture, Forestry and
    Fisheries (DAFF)
•   Small Enterprise Foundation (SEF) – revived Tshomisano
    credit programme (TCP) and microcredit programme MCP
    (SEF, 2012)
     – Helps poorerst in Limpopo to start income generating
       businesses



                                                              6
Policy direction becomes…




                            7
Problem statement

•   General acceptance: smallholder farmers are credit constrained
     – But size & significance of these constraints unknown
•   True whether looking at number without or size of gap between
    demand for & supply of formal credit
•   Unknown how demand & supply vary according to type of credit
•   Even more important, little is known about contribution of
    programmes and policies in narrowing gap
     – assessment of effectiveness & efficiency of government
        programmes on credit receiving less attention
•   CASP & MAFISA Evaluation studies reveal systematic weakness
    but, no empirical
     – Specific programme coverage; efficiency & effectiveness
        unknown




                                                                     8
Problem statement cont’


•   Paucity of information/knowledge on problem significance &
    variation means:
     – Those interested to improve access, do not know how much
        help
     – Difficulty in focusing effort to improve access to specific
        credit type
•   Focusing on specific types of credit to ensure formal credit has
    greatest impact on smallholder agriculture growth




                                                                       9
Research Questions


•   What is the size of the gap between demand for & supply
    of different types of formal credit for smallholder farmers?
•   Which type of formal credit is in more demand?
•   What is the proportion of credit constrained smallholder
    farmers?
•   What is the coverage of the programmes implemented to
    improve access to formal credit for smallholder farmers in
    SA?
•   Are these programmes, policies and strategies efficient
    and effective?




                                                                   10
What do we know about the problem?

•   Debate whether government targeted and subsidized credit is
    (not) a solution (Duesenberry & McPherson, 1991; Buttain, 1995;
    USAID,2007)
•   Programmes showing failure unless Grameen principle adopted
    (Cohen, 2010) i.e. Compulsory savings, Debt management &
    Budgeting training e.g. Bukidnon
•   Government credit increase farmers’ risks of over indebtedness
    (Real et al., 2010; Bert et al., 2011)
•   Seen as resource misallocation, worsening condition (Buttain,
    1995; USAID,2007)
•   How to measure access, demand constraints are known
    (Machethe, 1997; Diagne et al., 2000)
•   Credit-temporary substitute for savings (Briquette, 1999;
    Yehuala, 2008)



                                                                      11
Cont’


•   Government driven credit lead to excess demand
    (Gonzalez-vega, 1984; Binswanger & Rosenweig, 1986;
    Braverman & Stiglitz, 1989; Disney et al., 2010)
•   BUT others contend financial institutions not getting
    qualifying borrowers (Adams et al., 1984)
•   Despite popularity of credit, majority of target population
    still not reached (Ellis, 2000; Maxwell & Heber-Percy,
    2001; Gine & Karlan, 2006, Llanto, 2007)
•   Cohen (2010) claims farmers take credit as handout




                                                                  12
What is not known about the problem?


•   Why is take-up of formal credit low, despite interventions?
•   What is the preference of credit over short, medium &
    long term credits
•   In spite of bankers’ claims, do government credit
    programmes find qualifying borrowers?
•   Does theory still hold that government-led credit is
    inefficient?
     – How to make formal credit programmes work for the
        poor




                                                                  13
Therefore this study will …
determine the extent of the problem of lack of access to formal
credit for smallholder farmers in South Africa and to assess
effectiveness and efficiency of post-apartheid interventions to
improve access

Specifically to:

I. determine the gap between demand for and supply of the
     different types of formal credit;
II. determine the proportion of smallholder farmers that are credit
     constrained according to the type of formal credit;
III. Examine government policies, programmes & strategies since
     1994 to improve access to formal credit for smallholder farmers;
     and
IV. To determine the effectiveness & efficiency of policies,
     programmes & strategies to meet demand for short-term,
     medium term & long term credit in South Africa.
                                                                        14
Hypothesis


•   H1: Government policies, programmes and strategies
    implemented since 1994 have been ineffective and
    inefficient in improving access to credit for smallholder
    farmers in South Africa.




                                                                15
Theoretical & conceptual frameworks

•   Strands of financial liberalisation theory a basis to
    vindicate credit targeting and subsidization (Buttain, 1995)
•   However, criticism arise from failure in credit market
•   Various constructs that:
     – market failure can be addressed head-on through
        policy and institutional reforms;
     – Government can play a strong financial role but not to
        provide cheap credit
         • In response governments have taken over credit
            provision due to the market-failure, but this is not
            efficient (Stiglitz, 1981; Hoffs & Stiglitz, 1981)




                                                                   16
Cont’


•   Role of government is institutional, otherwise lack
    accountability, arbitrary & political (Duesenberry &
    McPherson, 1991; Buttain, 1995)
•   Role:
     – develop legal framework
     – Enhance market information availability
     – Proper regulation
     – Supervision
     – Enforcement in financial market
•   SA has a Microfinance Regulatory Council since 2001,
    prohibits reckless lending



                                                           17
Empirical measurement
•   Assessment: credit demand and supply using credit limit
    variable Ebmax and bmax (Diagne et al., 2000)
•   Measuring effectiveness: checklist, if performance target
    met (Wangstaff, 2004)
•   Measuring efficiency: using parametric, non-parametric
    and cost control of admin.management (accounting)
      – Traditional accounting uses cost-to-income ratio,
        efficiency ratio
•   traditional accounting never used government programme
    on credit (or financial service)




                                                                18
cont’


•   Ncube (2009) used parametric frontier for efficiency of SA
    banks
•   Chortareas et al., (2010)use both accounting and DEA in
    EU financial
     Efficiency ratio = Non-interest expenditure

                   Net operations revenue
     – Method also applied by Barthe et al., 2006; Demirgue-
       Kunt et al., 2004; Beck et al., 2006, FDIC, 2012
     – FDIC (2012) for instance found that community
       bankers were more efficient than other banks
         • As such, study forms a benchmark for interpreting this study




                                                                          19
ANALYITICAL FRAMEWORKS
OBJECTIVE I: determine the gap between demand for and supply
of the different types of formal credit;




1st: Descriptivestatistics to characterize demand for and
    supply of formal credit,
•   Step 1: estimate effective demand & effective supply from
    smallholder farmers who participate in credit
•   Measure statistically the differences between the two, to
    establish unsatisfied demand
     – using cumulative analysis of gap
•   Further ascertain variance i.e. If bmax < Ebmax




                                                                20
Objective II determine the proportion of smallholder farmers that
are credit constrained according to the type of formal credit


•   Estimate statistically proportion of the sample who;
     – Did not have access to formal credit since bmax = 0 [SEVERE CASE
        OF A SMALLHOLDER FARMER BEING CREDIT CONSTRAINED]

     – Those who were credit constrained by choice i.e. b* < bmax [SELF
       INDUCED]

     – Credit constrained because credit limit is strictly less than expected
       credit i.e. bmax < Ebmax [BINDING CREDIT CONSTRAINED]




                                                                                21
ANALYSIS
objective III: Examine government policies, programmes &
strategies since 1994 to improve access to formal credit for
smallholder farmers


•  Qualitative analysis
•  Identify the programmes
    – Investigate why they were established
• analyse how (and where)they were implemented
• Analyse expenditure pattern
• Capture the following attributes:
    – Goal attainment relevance to credit for smallholder
      farmers i.e not arbitrary? criteria not political?
    – Contract enforcement mechanisms in place
      (frequency of implementation)
    – Accountability (and who are stakeholders?)
    – Information dissemination to stakeholders
This analysis will produce a typology and description
                                                               22
ANALYSIS

objective IV:To determine the effectiveness & efficiency of
policies, programmes & strategies to meet demand for short-term,
medium term & long term credit in South Africa.
•  Effectiveness
    – Using results in objective I, compare size of gap in types
    – Compare time for processing (bank and programme)
    – Proportions of intended & actuals
         • E.g. achieved objective to planned; beneficiaries to
           sample
         • Use graphs & figures to present results
• Efficiency
Step 1: assess composition
    – Breakdown of credit amount to identify and quantify :
         • Interest rate
         • Length of repayment
         • Size of credit
         • Deductibles
                                                                   23
Cont’
                Step 2: assess cost reduction per transaction i.e.
                      cost-to- returns on a unit credit (Rand)
                Compute:
                • Efficiency ratio as used by Chortareas et al., (2010)
                      and FDIC (2012)
   Efficiency ratio = Non-interest expenditure

                  Net operations revenue

   Where: net operations revenue = net interest income +
      non interest income
   Interpretation
   Ratio must range between 0 & 1. If more than 1, it means
   the cost of issuing credit is more than return and
   therefore not efficient
                                                                          24
Proposed method in brief




                           25
Figure 1: Limpopo Province Districts




Source: Demarcation Board (www.demarcation.org.za)
Data & data sources


primary & secondary including:

Smallholder farm household head:
• Demographic
• Participation in credit ( borrowed or not, credit size expected &
   credit size received; general comments)
 Programme attributes:
• credit type (specify components)
• cost to client (time, interest)
• credit limit
• advances (loans issued)
• non-interest operating expenses
• net revenue, fixed assests
• other
                                                                      27
Contribution of the proposed study


• Study is original in content & design
   – First to apply efficiency ratio methodology in
     government credit programmes
      • efficiency method a useful tool to
        qualify/disqualify credit interventions in
        rural finance discipline
   – Makes policy contribution




                                                      28
Expected results and outputs


Outputs
• Published paper in an accredited Journal
• Description and empirical reports (Dissertation)

Results
• Improved service delivery
• Expand body of knowledge, ultimately to either validate or
  reject ‘theory’ (i.e. Government programmes to provide
  credit are inefficient)




                                                               29
Proposed plan & budget


Activity          Duration   Budget       Target Date
Data collection   4 months   ZAR 30 000   September
                                          2012
Data entry &      1 month        “        October 2012
analysis
Production of     6 months   ZAR 5 000    February 2013
paper
publication in
journal
Compilation of    6 months   ZAR 15 000   June 2013
PhD
Dissertation
                  TOTAL      ZAR 50 000   2013


                                                          30
Thank you!

Your input is value-
       adding

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Nerpo business planning

  • 1. UNIVERSITY OF PRETORIA Financial literacy, components of a business plan & marketing plan   BY: Christopher Fakudze 1
  • 2. Outline • Reflect on agribusiness plan (the business plan) • Problem statement – Known & unknown • Research objectives and hypothesis • Theoretical and conceptual frameworks • Methods and procedures • Contribution of study • Expected results & output • Proposed plan and budget 2
  • 3. The general problem: background with stylized facts • Owing to challenges hindering smallholder farming i.e. cost of production generally limiting • Access to credit dominates rural development & research agendas • Dating as far back as 1950s,conventional wisdom favoured government targeted credit intervention • However, poor record of subsidised/targeted credit leading to liberalisation • Emphasis on less targeting of loans; reduction of transaction costs; and improving viability of market 3
  • 4. Cont’ • Paradigm shift: microcredit-microfinance & commercialisation >>1990s; microfinance-financial inclusion >>2000s • Access to credit for smallholder farmers in SA is crucial • Urgency motivated by a trio of long-standing circumstances 4
  • 5. The general problem cont’ -a need to lead the poor out of poverty -interventions introduced 5
  • 6. Interventions implemented • Micro-finance Apex fund • Micro Agricultural Finance Schemes of South Africa (MAFISA) – MAFISA piloted (Limpopo, Kwazulu Natal & Eastern Cape) • Comprehensive Agricultural Support Programme (CASP) under the Department of Agriculture, Forestry and Fisheries (DAFF) • Small Enterprise Foundation (SEF) – revived Tshomisano credit programme (TCP) and microcredit programme MCP (SEF, 2012) – Helps poorerst in Limpopo to start income generating businesses 6
  • 8. Problem statement • General acceptance: smallholder farmers are credit constrained – But size & significance of these constraints unknown • True whether looking at number without or size of gap between demand for & supply of formal credit • Unknown how demand & supply vary according to type of credit • Even more important, little is known about contribution of programmes and policies in narrowing gap – assessment of effectiveness & efficiency of government programmes on credit receiving less attention • CASP & MAFISA Evaluation studies reveal systematic weakness but, no empirical – Specific programme coverage; efficiency & effectiveness unknown 8
  • 9. Problem statement cont’ • Paucity of information/knowledge on problem significance & variation means: – Those interested to improve access, do not know how much help – Difficulty in focusing effort to improve access to specific credit type • Focusing on specific types of credit to ensure formal credit has greatest impact on smallholder agriculture growth 9
  • 10. Research Questions • What is the size of the gap between demand for & supply of different types of formal credit for smallholder farmers? • Which type of formal credit is in more demand? • What is the proportion of credit constrained smallholder farmers? • What is the coverage of the programmes implemented to improve access to formal credit for smallholder farmers in SA? • Are these programmes, policies and strategies efficient and effective? 10
  • 11. What do we know about the problem? • Debate whether government targeted and subsidized credit is (not) a solution (Duesenberry & McPherson, 1991; Buttain, 1995; USAID,2007) • Programmes showing failure unless Grameen principle adopted (Cohen, 2010) i.e. Compulsory savings, Debt management & Budgeting training e.g. Bukidnon • Government credit increase farmers’ risks of over indebtedness (Real et al., 2010; Bert et al., 2011) • Seen as resource misallocation, worsening condition (Buttain, 1995; USAID,2007) • How to measure access, demand constraints are known (Machethe, 1997; Diagne et al., 2000) • Credit-temporary substitute for savings (Briquette, 1999; Yehuala, 2008) 11
  • 12. Cont’ • Government driven credit lead to excess demand (Gonzalez-vega, 1984; Binswanger & Rosenweig, 1986; Braverman & Stiglitz, 1989; Disney et al., 2010) • BUT others contend financial institutions not getting qualifying borrowers (Adams et al., 1984) • Despite popularity of credit, majority of target population still not reached (Ellis, 2000; Maxwell & Heber-Percy, 2001; Gine & Karlan, 2006, Llanto, 2007) • Cohen (2010) claims farmers take credit as handout 12
  • 13. What is not known about the problem? • Why is take-up of formal credit low, despite interventions? • What is the preference of credit over short, medium & long term credits • In spite of bankers’ claims, do government credit programmes find qualifying borrowers? • Does theory still hold that government-led credit is inefficient? – How to make formal credit programmes work for the poor 13
  • 14. Therefore this study will … determine the extent of the problem of lack of access to formal credit for smallholder farmers in South Africa and to assess effectiveness and efficiency of post-apartheid interventions to improve access Specifically to: I. determine the gap between demand for and supply of the different types of formal credit; II. determine the proportion of smallholder farmers that are credit constrained according to the type of formal credit; III. Examine government policies, programmes & strategies since 1994 to improve access to formal credit for smallholder farmers; and IV. To determine the effectiveness & efficiency of policies, programmes & strategies to meet demand for short-term, medium term & long term credit in South Africa. 14
  • 15. Hypothesis • H1: Government policies, programmes and strategies implemented since 1994 have been ineffective and inefficient in improving access to credit for smallholder farmers in South Africa. 15
  • 16. Theoretical & conceptual frameworks • Strands of financial liberalisation theory a basis to vindicate credit targeting and subsidization (Buttain, 1995) • However, criticism arise from failure in credit market • Various constructs that: – market failure can be addressed head-on through policy and institutional reforms; – Government can play a strong financial role but not to provide cheap credit • In response governments have taken over credit provision due to the market-failure, but this is not efficient (Stiglitz, 1981; Hoffs & Stiglitz, 1981) 16
  • 17. Cont’ • Role of government is institutional, otherwise lack accountability, arbitrary & political (Duesenberry & McPherson, 1991; Buttain, 1995) • Role: – develop legal framework – Enhance market information availability – Proper regulation – Supervision – Enforcement in financial market • SA has a Microfinance Regulatory Council since 2001, prohibits reckless lending 17
  • 18. Empirical measurement • Assessment: credit demand and supply using credit limit variable Ebmax and bmax (Diagne et al., 2000) • Measuring effectiveness: checklist, if performance target met (Wangstaff, 2004) • Measuring efficiency: using parametric, non-parametric and cost control of admin.management (accounting) – Traditional accounting uses cost-to-income ratio, efficiency ratio • traditional accounting never used government programme on credit (or financial service) 18
  • 19. cont’ • Ncube (2009) used parametric frontier for efficiency of SA banks • Chortareas et al., (2010)use both accounting and DEA in EU financial Efficiency ratio = Non-interest expenditure Net operations revenue – Method also applied by Barthe et al., 2006; Demirgue- Kunt et al., 2004; Beck et al., 2006, FDIC, 2012 – FDIC (2012) for instance found that community bankers were more efficient than other banks • As such, study forms a benchmark for interpreting this study 19
  • 20. ANALYITICAL FRAMEWORKS OBJECTIVE I: determine the gap between demand for and supply of the different types of formal credit; 1st: Descriptivestatistics to characterize demand for and supply of formal credit, • Step 1: estimate effective demand & effective supply from smallholder farmers who participate in credit • Measure statistically the differences between the two, to establish unsatisfied demand – using cumulative analysis of gap • Further ascertain variance i.e. If bmax < Ebmax 20
  • 21. Objective II determine the proportion of smallholder farmers that are credit constrained according to the type of formal credit • Estimate statistically proportion of the sample who; – Did not have access to formal credit since bmax = 0 [SEVERE CASE OF A SMALLHOLDER FARMER BEING CREDIT CONSTRAINED] – Those who were credit constrained by choice i.e. b* < bmax [SELF INDUCED] – Credit constrained because credit limit is strictly less than expected credit i.e. bmax < Ebmax [BINDING CREDIT CONSTRAINED] 21
  • 22. ANALYSIS objective III: Examine government policies, programmes & strategies since 1994 to improve access to formal credit for smallholder farmers • Qualitative analysis • Identify the programmes – Investigate why they were established • analyse how (and where)they were implemented • Analyse expenditure pattern • Capture the following attributes: – Goal attainment relevance to credit for smallholder farmers i.e not arbitrary? criteria not political? – Contract enforcement mechanisms in place (frequency of implementation) – Accountability (and who are stakeholders?) – Information dissemination to stakeholders This analysis will produce a typology and description 22
  • 23. ANALYSIS objective IV:To determine the effectiveness & efficiency of policies, programmes & strategies to meet demand for short-term, medium term & long term credit in South Africa. • Effectiveness – Using results in objective I, compare size of gap in types – Compare time for processing (bank and programme) – Proportions of intended & actuals • E.g. achieved objective to planned; beneficiaries to sample • Use graphs & figures to present results • Efficiency Step 1: assess composition – Breakdown of credit amount to identify and quantify : • Interest rate • Length of repayment • Size of credit • Deductibles 23
  • 24. Cont’ Step 2: assess cost reduction per transaction i.e. cost-to- returns on a unit credit (Rand) Compute: • Efficiency ratio as used by Chortareas et al., (2010) and FDIC (2012) Efficiency ratio = Non-interest expenditure Net operations revenue Where: net operations revenue = net interest income + non interest income Interpretation Ratio must range between 0 & 1. If more than 1, it means the cost of issuing credit is more than return and therefore not efficient 24
  • 25. Proposed method in brief 25
  • 26. Figure 1: Limpopo Province Districts Source: Demarcation Board (www.demarcation.org.za)
  • 27. Data & data sources primary & secondary including: Smallholder farm household head: • Demographic • Participation in credit ( borrowed or not, credit size expected & credit size received; general comments) Programme attributes: • credit type (specify components) • cost to client (time, interest) • credit limit • advances (loans issued) • non-interest operating expenses • net revenue, fixed assests • other 27
  • 28. Contribution of the proposed study • Study is original in content & design – First to apply efficiency ratio methodology in government credit programmes • efficiency method a useful tool to qualify/disqualify credit interventions in rural finance discipline – Makes policy contribution 28
  • 29. Expected results and outputs Outputs • Published paper in an accredited Journal • Description and empirical reports (Dissertation) Results • Improved service delivery • Expand body of knowledge, ultimately to either validate or reject ‘theory’ (i.e. Government programmes to provide credit are inefficient) 29
  • 30. Proposed plan & budget Activity Duration Budget Target Date Data collection 4 months ZAR 30 000 September 2012 Data entry & 1 month “ October 2012 analysis Production of 6 months ZAR 5 000 February 2013 paper publication in journal Compilation of 6 months ZAR 15 000 June 2013 PhD Dissertation TOTAL ZAR 50 000 2013 30
  • 31. Thank you! Your input is value- adding