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Cost of Conflict and Food
Security in the ESCWA Region

                   Vito Intini
Section for Emerging and Conflict Related Issues
                  6 February 2012
• Violent conflicts strengthen the popular conviction that
  conflict is a development curse. But exactly how much does
  it cost?
• Several studies have tried to provide an answer to this
  question, but no consensual answer has emerged. In
  particular, point estimates tend to vary considerably across
  different studies.
• Moreover, the empirical assessment of the cost of conflict
  poses a number of relevant methodological challenges that
  are often overlooked in the existing literature.
• Finally, very little is known on the relationship between
  conflict, on the one hand, and FS and development, on the
  other, in the ESCWA region.
Outline
•   Concepts and Stylized Facts
•   Methodological Framework
•   Transmission Channels
•   Measurement of Impact of Conflict
•   Conflict-FS Nexus and Challenges
•   Recommendations
Concepts & Stylized Facts

• The most cited study in this area is Collier (1999). He finds
  that civil war reduces the growth rate of per-capita GDP by
  2.2% a year (10-year war would reduce pc GDP by ~25%).
• Collier also shows that after long civil wars the economy
  recovers rapidly, whereas after short wars (more intense) it
  continues to decline for at least five years.
• Rodrik (1999) argues that outbreaks of social conflict are a
  primary reason why national economic growth lacks
  persistence.
• Cerra and Saxena (2008) estimate that output declines 6% in
  the immediate aftermath of a civil war. However, output
  rebounds quickly, recovering half of the fall within a few years.
• Glick and Taylor (2010) find large and persistent impact of
  interstate war on trade, national income, and global economic
  welfare. The negative effect on trade is strong.
Concepts & Stylized Facts
• The conventional wisdom that interstate war disrupts
  economic activity and hence reduces growth does not go
  unchallenged.
• An increase in military expenditure might boost aggregate
  demand and hence increase income through a multiplier
  effect. However, this would likely be a short-term effect,
  while in the long-term the growth potential of the economy
  should decrease because of crowding-out effect on private
  investment.
• A more general argument is that the occurrence of a war
  would not alter the long-term trend of per-capita income, but
  only cause a transitionary deviation from the steady state.
Methodology Issues
• Most of the existing literature estimates reduced form
  models: models where per-capita income (or growth) is
  regressed on a measure of conflict duration (or occurrence)
  and a set of controls. However, these controls are often
  variables that are themselves affected by war. This in turn
  causes possible multicollinearity between conflict and the
  controls and biases the estimates of the conflict effect.
• Some authors recognise this problem and exclude controls
  that are most likely to be affected by conflict (for instance
  Collier, 1999). However, if the excluded controls are
  significant determinants of development (as measured by
  income or any other variable), then an omitted variables
  problem arises and estimates of the effect of conflict are
  again likely to be biased (i.e. underestimated and/or not
  significant).
Methodological Framework
• In our study, a structural model of conflict and development is
  estimated for a large sample of countries over a period of >40
  years (divided in sub-periods of 5 years each). In this way,
  conflict is allowed to affect development both directly and
  indirectly via its effect on the controls (institutions, policy,
  investment).
• The structural model consists of a set of equations that capture
  the effect of conflict on per-capita income and various other
  (MDG) variables for ESCWA and other war-torn economies
  while separating interstate from intrastate conflicts.
• Equations are estimated by taking into account dynamic effects
  as well as endogeneity between conflict and development.
• Source of information on conflicts is the Correlates of War
  project (COW): i) conflict duration, ii) number of deaths (more
  challenging).
Preliminary General Findings
                                                                                                                                     Civil Conflict                                                                                                 Interstate Conflict
                                                                         Av. Duration                                                                   Av. Deaths                                                              Av. Duration                                                                   Av. Deaths
                                World                                    0.27                                                                           106                                                                     0.07                                                                           271
                                ESCWA                                    0.39                                                                           105                                                                     0.13                                                                           903
                       • Most of the negative association between conflict time and growth/income
                         level is driven by civil conflicts. Interstate conflict duration appears to be
                         uncorrelated with growth and/or per-capita income level.
                       • One additional year of civil conflict is directly associated with a decline in
                         per-capita GDP growth of ~0.6% a year.
                       • However, we have not yet determined direction of causality.
                       11                                                                                        12                                                                                    11                                                                                            12


                       10                                                                                                                                                                              10                                                                                             8




                                                                                                                                                                                                                                                                  Rate of growth of per-capita GDP
                                                                                                                  8
                                                                              Rate of growth of per-capita GDP




                                                                                                                                                                             Per-capita GDP (in log)
                        9                                                                                                                                                                              9
Per-capita GDP (log)




                                                                                                                  4                                                                                                                                                                                   4

                        8                                                                                                                                                                              8
                                                                                                                  0                                                                                                                                                                                   0
                        7                                                                                                                                                                              7

                                                                                                                  -4                                                                                                                                                                                  -4
                        6                                                                                                                                                                              6

                                                                                                                  -8                                                                                                                                                                                  -8
                        5                                                                                                                                                                              5


                        4                                                                                        -12                                                                                   4                                                                                             -12
                            0         1        2         3         4          5                                        0         1        2         3         4          5                                  0         1        2         3         4          5                                            0         1        2         3         4          5

                                Years of intrastate war (in a quinquennium)                                                Years of intrastate war (in a quinquennium)                                          Years of interstate war (in a quinquennium)                                                    Years of interstate war (in a quinquennium)
Effect of Conflict on Institutions
              Variable                                    Estimate
              Lagged Institution Index Quality            0.79 (0.01)***
              Lagged GDP p.c.                             0.43 (0.55)
              Civil War                                   -0.24 (0.56)
              Inter-state War                             -2.57 (0.89)**
              Civil War (ESCWA)                           -0.80 (0.12)***
              Inter-state War (ESCWA)                     0.50 (1.14)
              ESCWA                                       -0.30 (0.34)
              Fuels                                       0.00 (0.00)
              Legor                                       0.19 (0.31)
              Ethnic                                      0.29 (0.50)
              Malaria                                     -0.08 (0.02)***
              Constant                                    3.46 (0.55)***
              Observations                                503
Points on a scale 1-10. Robust standard errors in parenthesis; ***estimate is significant at 99% , **estimate is
significant at 95%, *estimate is significant at 90%; Endogenous variables: Civil War, Inter-state War, Civil
War (ESCWA), Interstate War (ESCWA), Fuels.
Effect of Conflict on Trade
                Variable                           Estimate
                Lagged Trade                       0.89 (0.05)***
                Civil War                          -1.51 (0.70)**
                Inter-state War                    0.96 (0.83)
                Civil War (ESCWA)                  1.43 (2.93)
                Inter-state War (ESCWA)            14.19 (28.00)
                ESCWA                              4.30 (5.00)
                GDP                                6.22 (2.52)**
                GDP p.c.                           -6.88 (3.52)*
                Landlocked                         -23.84 (16.62)**
                Country Surface                    -5.12 (1.64)***
                Constant                           54.78 (22.79)**
                Observations                       696


Figures in %. Robust standard errors in parenthesis; ***estimate is significant at 99% , **estimate is
significant at (95%), *estimate is significant at 90%; Endogenous variables: Inter-state War, Inter-state War
(ESCWA), GDP, GDP p.c.
Effect of Conflict on Investment
           Variable                         Estimate
           Lagged Investment                0.53 (0.07)***
           Civil War                        -7.25 (3.55)**
           Inter-state War                  0.61 (0.41)
           Civil War (ESCWA)                -2.55 (0.69)***
           Inter-state War (ESCWA)          -1.13 (7.99)
           ESCWA                            -0.61 (1.04)
           Volatility                       -0.00 (0.00)***
           Financial Openness               0.03 (0.24)
           M2                               -0.08 (0.02)***
           Institutions                     0.54 (0.60)
           Trade                            0.42 (0.15)***
           Latitude                         4.24 (3.33)
           Landlocked                       -1.24 (1.69)
           Malaria                          -0.34 (0.12)***
           Constant                         7.91 (2.98)***
           Observations                     551
Figures in %. Endogenous variables: war_intl, war_intl_escwa, war_civil, war_civil_escwa, M2,
Institutions, Trade, Fin_open, Volatility.
Effect of Conflict on MDG Dimensions)
              HDI        Social   Immuniz. Life       Average   Access      Child     Inequal.
                                           Expect.    School.   to Sanit.   Mortal.
Civil War     -0.00      -0.09*** -1.53*   0.30       -0.01     -0.41       1.32      -0.32
Inter-state   -0.92***   -0.02    -4.12    -0.55***   -0.21**   0.32***     3.33**    -4.11
War
Civil War     -0.13      0.13     1.94     -1.38*** -0.03       -0.88       2.43**    15.23***
(ESCWA)
Inter-state   -1.63      -2.73*** -26.47   -1.78      -0.26     -0.03*** 0.02         -0.06
War
(ESCWA)
GDP p.c.      10.63*** 1.96***    30.19*** 8.13***    2.32*** -0.81         -0.01     2.36*
Human = av. years of schooling * life expectancy; Immunization = % children aged 12-
23 months that have been immunized against measles.; Social: weighted av. of (i) av.
years of education in the population, (ii) life expectancy, and (iii) rate of children
immunization. Access to water, maternal mortality, child malnutrition are not significant
after controlling for PC GDP.
Estimated Impact of Conflict on Development
                                                 Civil Conflict (%)      Inter-state Confl (%)
                                                  All        ESCWA           All      ESCWA
                                                Countries                Countries
  GDP p.c. (without Investment)                     -14.70       -17.40        -8.03      -8.03
  GDP p.c. (with Investment)                        -15.15       -18.50        -7.06      -7.06
  GDP p.c. (direct war effect)                       -1.70a       -1.70a      -1.90b     -1.90b
  HDI                                                 -7.80        -9.20       -8.85      -8.85
  Social Indicators                                 -24.67       -27.44       -10.36    -19.32
  Immunisation Rate                                   -8.24        -9.35       -3.31      -3.31
  Life Expectancy                                     -1.98        -2.93       -1.96      -1.96
  Average Years of Schooling                          -4.56        -4.56       -6.34      -6.34
  Access to Sanitation Facilities                     -6.86        -6.86       -9.01    -12.12
  Child Mortality                                    12.11        14.02        15.02     15.02
  Income Inequality                                   -0.80         37.5       -0.40      -0.40
Notes: Estimated effect of one additional year of war. For human development, immunization rate, life
expectancy, average years of schooling, access to sanitation facilities, child mortality, and income inequality,
the percentage is computed on the sample mean value of the indicator. For social development, the
percentage is computed on the sample standard deviation of the indicator.
Conflict – FS Nexus
                                                                                                             LOG10(foodimpshr) vs FSI
                                    ceryld vs FSI
                                                                                                2.0
         10000.0




                                                                            LOG10(foodimpshr)
                                                                                                1.2
              6666.7
                                                                                                                                        YEM
ceryld




                                                                                                0.3                                           SDN
              3333.3

                                                       PAL
                                                               IRQ
                                                             YEM SDN                            -0.5
                 0.0                                                                                   0.0      40.0          80.0            120.0
                       0.0   40.0               80.0                120.0                                               FSI
                                        FSI
                                                                                                                  PubHealth vs FSI
                             LOG10(kcal) vs FSI
                                                                                                12.0
                 3.6
LOG10(kcal)




                                                                            PubHealth
                                                                                                 8.0
                 3.4

                                                                   SDN
                                                       PAL
                                                             YEM
                 3.3                                                                             4.0
                                                                                                                                          IRQ
                                                                                                                                        YEM
                                                                                                                                            SDN
                 3.1                                                                             0.0
                       0.0   40.0              80.0                120.0                               0.0       40.0          80.0            120.0
                                       FSI                                                                              FSI
Post-conflict Challenges (1)
• Service provision in post-conflict is particularly challenging
• Populations needs are most acute and particularly concentrated in
  this phase
• Public institutions and governance are particularly weak and
  fragmented (center-local divides and horizontal cleavages)
• Elites capture and patronage risk is higher
• Different political interests, approaches, and parallel diplomatic,
  military, and development-sponsored activities, reflected in
  fragmented institutional mechanisms
• Limited capacity of military aid and its lack of coordination with ODA
• The short-term aid governance approach often prevails over the
  long-term one (PIUs vis-à-vis governmental staff, shopping lists,
  subcontracting of essential services, fragmented short-term small
  scale projects)
• Risk of emergency/aid dependence
Post-conflict Challenges (2)
Crowding-in or out Effect of Military Expenditures vs Social Expenditures? (% of GDP)
                   Military      Public education     Public health
                 expenditure       expenditure        expenditure
 Country           average            average           average
                 2000- 2005-       2001-     2005-    2000-     2005-   Conflict-affected
                  2004     2009     2004      2008     2004      2009   countries tend to
 Bahrain           4.40     3.36        -      3.10    2.79      2.66
 Egypt             3.24     2.50     4.80      4.06    2.32      2.12
                                                                        have over-inflated
 Iraq              2.38     4.54        -         -    1.01      2.58   wage bills that can
 Jordan            5.74     5.22        -         -    4.86      5.30   reach up to 1/3 of
 Kuwait            6.92     3.79     6.30      4.24    2.49      1.92   government budget
 Lebanon           4.91     4.29     2.64      2.46    3.44      3.93
                                                                        (OPT, Iraq, Yemen)
 Oman            11.89      9.86     4.05      3.72    2.56      1.99
 Qatar             3.88     2.25     2.14         -    2.37      2.07
 Saudi Arabia      9.80     8.93     7.27      5.97    2.99      2.78
 Sudan             3.77     4.24        -         -    1.07      1.88
 Syria             5.49     4.22        -      5.09    2.21      1.45
 UAE               8.40     5.73     1.84      1.09    2.44      1.81
 Yemen             6.16     4.62     9.63      5.15    2.42      1.62
 ESCWA average   5.92> 4.89>       4.83>     3.88~    2.71<     2.67<
 Arab Region       6.40     5.28     5.07      3.95    2.57      2.44
 EAP               1.49     1.58     3.98      3.79    4.69      4.28
 LAC               1.35     1.36     4.18      3.96    3.19      3.51
 World average     2.39     2.48     4.33      4.45    5.64      5.76
FS, Vulnerability, and Conflict
- Vulnerability to shocks makes poor households risk averse in their
   asset-allocation strategy and this aversion is even more pronounced
   in conflict-affected areas often characterized by a cascading series
   of a combination of conflict-related, natural shocks, and international
   price shocks with the result of ever-decreasing food-security levels
   and passing up more risky but more profitable businesses.
- Complementing social protection with government supported forms of
   insurance (but eventually market-based) can help the poor to
   improve their risk copying strategies
                          Natural   Conflict-driven   Commodity
                          Shock     Shock             price Shock
Review of Food Aids
• Food Aid highly volatile in the last two decades partly due to donors’
  policies not always based on needs assessment
• Food Aid not a tool to address long-term FS
• Need for closer coordination among relief agencies and for medium-
  term budgeting
• Food Aid works when local economic policy is addressed, it is
  temporary and limited to contexts lacking institutions and markets
• Need to coordinate short-term relief ops with medium-term
  considerations (WFP P4P)
Volatility of Humanitarian and Food Aid

1600
                                                                      3,000,000
1400

                                                                      2,500,000
1200
                                                     Afghanistan
                                                     Angola                                          Yemen
1000                                                                  2,000,000
                                                     DRC                                             Syria
                                                     Ethiopia                                        Sudan
 800




                                                                 Mt
                                                     Indonesia        1,500,000                      OPT
                                                     Iraq                                            Lebanon
 600
                                                     OPT                                             Jordan
                                                                      1,000,000
                                                     Somalia                                         Iraq
 400
                                                     Sudan                                           Egypt
                                                                       500,000
 200


   0                                                                         0
                                                                                  Period 1990-2008
    1998   2000   2002   2004   2006   2008   2010
But aid is also volatile at the regional level
     Deviation of Gulf state ODA and crude oil price from 1970–2007 average




                                                                              20
Governance deficit – conflict trap (I)
  The risk of renewed conflict in countries with good governance
  drops rapidly after conflict. In countries characterized by poor
  governance, this process takes much longer. Hence, improving
  governance is an important part in reducing conflict, and good
  governance will in turn decrease the likelihood of conflict.




                                                                 21
Governance deficit – conflict trap (II)
         Voice and Accountability              Government Effectivness                             Rule of Law



   0                                  0                                     0
-0.2                                -0.2                                 -0.2
-0.4                                                                     -0.4
                                    -0.4
-0.6
                                                                         -0.6
-0.8                                -0.6
                                                                         -0.8
  -1                                -0.8
-1.2                                                                       -1
                                     -1
-1.4                                                                     -1.2
-1.6                                -1.2                                 -1.4


           Regulatory Quality                                                               Control of Corruption
                                                   Political Stability




                                                                                     1996
                                                                                            1998
                                                                                                   2000
                                                                                                          2002
                                                                                                                 2003
                                                                                                                        2004
                                                                                                                               2005
                                                                                                                                      2006
                                                                                                                                             2007
                                                                                                                                                    2008
                                                                                                                                                           2009
                                                                                                                                                                  2010
  0
                                           0
                                                                                0
-0.2
                                     -0.5                                  -0.2
-0.4
                                       -1                                  -0.4
-0.6
                                                                           -0.6
-0.8                                 -1.5
                                                                           -0.8
 -1                                    -2                                       -1
-1.2                                                                       -1.2
                                     -2.5
Importance of land rights in conflict (I)
Insecure or weakly enforced property rights:
• Increase risk of expropriation, which diminishes incentives to invest
   and to produce
• decrease productivity by necessitating the need to defend property
   in insecure environments
• do not allow productive assets to be transferred to those who can
   use them for their livelihood (subsistence farmers) or most
   productively (commercial farmers)
• do not allow a crucial asset supporting other transactions such as
   obtaining financing
• can cause both grievance and greed
• exacerbate over-urbanization and socio-economic disparities in the
   aftermath of a conflict
• are an important driver of food security and therefore of social
   stability given that food price shocks hit the landless hardest and
   increase the incidence of riots
                                                                  23
Importance of land rights in conflict (II)
 • Friction or even open conflict between modern state-led
   (+ colonial) and customary or tribal property rights
   systems
 • Property disputes constitute the single largest cause of
   backlog cases in the judicial systems of most post-
   conflict countries including LDCs (great entry point to
   reform the judiciary)
 • Post-conflict government capacity is weak in terms of
   systematic and consistent law enforcement and
   informal governance systems tend to be relatively
   stronger
 • However, recent experiences have shown that
   remedies to this inherent contradiction are possible
   (DRC, Mali, Zimbabwe)
                                                              24
Recommendations (I)
• The breadth and depth of available data require immediate and
  significant improvements.
• Conflict - Poverty (and informality) – Food Insecurity compound into
  inter-generational transmission of poverty, inequality, and conflict
  relapse
• One year of a civil conflict in the region is enough to cancel
  development progress made by an average ESCWA country in 5-10
  years
• The potential presence of endogeneity suggests an existence of a
  ‘feedback-loop’ whereby the process of conflict and de-development
  feed on each other. In such instances, a ‘circuit-breaker’ is required
  to break this symbiotic vicious cycle.
Recommendations (II)
• Governmental action can be directed at reactivating the channels through
  which public goods are delivered.
• Closer regional integration and better business environment can increase
  the peace dividend on these countries.
• Expansion of family (and nutrition support) programs especially in rural
  areas to improve maternal health, provision of education with specific focus
  on girls education, and reduce fertility rates.
- Support community-based development funds for infrastructure and services
  → labor generation, social capital and peace dividends
- More use of JAM, joint CAS, PRSPs, SWAPs
- Regional action aimed at tapping Sudan’s agricultural potential in a
  transparent manner
- Review land policies in conflict-affected environments
- Learn lessons from food aid and relief modalities and how to link them to
  livelihood programs (WFP’s P4P)
- Reform CERF and establish a food aid emergency reserve (ASEAN) or
  multi-annual regional fund managed by WFP/OCHA
Recommendations (III)
• Strengthen governments’ efforts to preserve water resources
  and increase their rational utilization.
• Agriculture (and the rural poor) in these countries is trapped
  in low value-added activities and mainly characterized by low
  productivity farming. It is therefore vital to increase efficiency
  in rain-fed agriculture, enhance ag R&D, and promote
  market linkages.
• Donors need to move towards multi-year budgeting for their
  transfers to the relief agencies working in a conflict-affected
  country so that they can improve their planning and increase
  efficiency gains in their operations. Due to absorptive
  capacity constraints aid disbursements should gradually rise
  during first 3-5 years and then slowly revert back.
Recommendations (IV)
• With respect to the issues specifically raised in this report,
  future research should provide an even more
  comprehensive account of cross-regional differences in the
  development costs of war.
• More work will be needed in the future in order to provide
  theoretical foundations to our findings: why is the negative
  effect of conflict sometimes associated with interstate
  conflict while other times is associated with civil conflict?
  Why is inequality disproportionally affected by conflict in this
  region? And what can we do to reduce the overall effect?
Enhance Regional Cooperation through FS
Conflict and FS are two regional problems that require a strong
  regional approach
• How can cooperation be promoted?
   – Create Awareness: Previous Pan-Arab cooperation efforts were
      driven by ideology, not necessity. Cooperation in light of common
      threats to the conflict-food security nexus is a necessity
   – Build Political Commitment: EU and ASEAN were launched to
      promote peace and stability. The obstacles to successful regional
      integration were not necessarily easier than in the Arab world today
   – Provide Incentives: Cooperation must pay a peace dividend, financed
      by transfers and the creation of new economic opportunities. It is a
      positive sum game.
   – Promote specific actions: reinvigorated supranational actions need to
      be undertaken with specific responsibilities in the area of social
      assistance programs, rural development, gender and family planning,
      and the advancement of an Arab common market.
   – Manage External Support: The international community can help
      increase the opportunity cost from engaging in conflict through
      greater regional economic cooperation, including the dismantling of
      protectionism (by trade partners) and more efficient development aid.
Thank you
intini@un.org

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Cost of Conflict Impacts Food Security

  • 1. Cost of Conflict and Food Security in the ESCWA Region Vito Intini Section for Emerging and Conflict Related Issues 6 February 2012
  • 2. • Violent conflicts strengthen the popular conviction that conflict is a development curse. But exactly how much does it cost? • Several studies have tried to provide an answer to this question, but no consensual answer has emerged. In particular, point estimates tend to vary considerably across different studies. • Moreover, the empirical assessment of the cost of conflict poses a number of relevant methodological challenges that are often overlooked in the existing literature. • Finally, very little is known on the relationship between conflict, on the one hand, and FS and development, on the other, in the ESCWA region.
  • 3. Outline • Concepts and Stylized Facts • Methodological Framework • Transmission Channels • Measurement of Impact of Conflict • Conflict-FS Nexus and Challenges • Recommendations
  • 4. Concepts & Stylized Facts • The most cited study in this area is Collier (1999). He finds that civil war reduces the growth rate of per-capita GDP by 2.2% a year (10-year war would reduce pc GDP by ~25%). • Collier also shows that after long civil wars the economy recovers rapidly, whereas after short wars (more intense) it continues to decline for at least five years. • Rodrik (1999) argues that outbreaks of social conflict are a primary reason why national economic growth lacks persistence. • Cerra and Saxena (2008) estimate that output declines 6% in the immediate aftermath of a civil war. However, output rebounds quickly, recovering half of the fall within a few years. • Glick and Taylor (2010) find large and persistent impact of interstate war on trade, national income, and global economic welfare. The negative effect on trade is strong.
  • 5. Concepts & Stylized Facts • The conventional wisdom that interstate war disrupts economic activity and hence reduces growth does not go unchallenged. • An increase in military expenditure might boost aggregate demand and hence increase income through a multiplier effect. However, this would likely be a short-term effect, while in the long-term the growth potential of the economy should decrease because of crowding-out effect on private investment. • A more general argument is that the occurrence of a war would not alter the long-term trend of per-capita income, but only cause a transitionary deviation from the steady state.
  • 6. Methodology Issues • Most of the existing literature estimates reduced form models: models where per-capita income (or growth) is regressed on a measure of conflict duration (or occurrence) and a set of controls. However, these controls are often variables that are themselves affected by war. This in turn causes possible multicollinearity between conflict and the controls and biases the estimates of the conflict effect. • Some authors recognise this problem and exclude controls that are most likely to be affected by conflict (for instance Collier, 1999). However, if the excluded controls are significant determinants of development (as measured by income or any other variable), then an omitted variables problem arises and estimates of the effect of conflict are again likely to be biased (i.e. underestimated and/or not significant).
  • 7. Methodological Framework • In our study, a structural model of conflict and development is estimated for a large sample of countries over a period of >40 years (divided in sub-periods of 5 years each). In this way, conflict is allowed to affect development both directly and indirectly via its effect on the controls (institutions, policy, investment). • The structural model consists of a set of equations that capture the effect of conflict on per-capita income and various other (MDG) variables for ESCWA and other war-torn economies while separating interstate from intrastate conflicts. • Equations are estimated by taking into account dynamic effects as well as endogeneity between conflict and development. • Source of information on conflicts is the Correlates of War project (COW): i) conflict duration, ii) number of deaths (more challenging).
  • 8. Preliminary General Findings Civil Conflict Interstate Conflict Av. Duration Av. Deaths Av. Duration Av. Deaths World 0.27 106 0.07 271 ESCWA 0.39 105 0.13 903 • Most of the negative association between conflict time and growth/income level is driven by civil conflicts. Interstate conflict duration appears to be uncorrelated with growth and/or per-capita income level. • One additional year of civil conflict is directly associated with a decline in per-capita GDP growth of ~0.6% a year. • However, we have not yet determined direction of causality. 11 12 11 12 10 10 8 Rate of growth of per-capita GDP 8 Rate of growth of per-capita GDP Per-capita GDP (in log) 9 9 Per-capita GDP (log) 4 4 8 8 0 0 7 7 -4 -4 6 6 -8 -8 5 5 4 -12 4 -12 0 1 2 3 4 5 0 1 2 3 4 5 0 1 2 3 4 5 0 1 2 3 4 5 Years of intrastate war (in a quinquennium) Years of intrastate war (in a quinquennium) Years of interstate war (in a quinquennium) Years of interstate war (in a quinquennium)
  • 9. Effect of Conflict on Institutions Variable Estimate Lagged Institution Index Quality 0.79 (0.01)*** Lagged GDP p.c. 0.43 (0.55) Civil War -0.24 (0.56) Inter-state War -2.57 (0.89)** Civil War (ESCWA) -0.80 (0.12)*** Inter-state War (ESCWA) 0.50 (1.14) ESCWA -0.30 (0.34) Fuels 0.00 (0.00) Legor 0.19 (0.31) Ethnic 0.29 (0.50) Malaria -0.08 (0.02)*** Constant 3.46 (0.55)*** Observations 503 Points on a scale 1-10. Robust standard errors in parenthesis; ***estimate is significant at 99% , **estimate is significant at 95%, *estimate is significant at 90%; Endogenous variables: Civil War, Inter-state War, Civil War (ESCWA), Interstate War (ESCWA), Fuels.
  • 10. Effect of Conflict on Trade Variable Estimate Lagged Trade 0.89 (0.05)*** Civil War -1.51 (0.70)** Inter-state War 0.96 (0.83) Civil War (ESCWA) 1.43 (2.93) Inter-state War (ESCWA) 14.19 (28.00) ESCWA 4.30 (5.00) GDP 6.22 (2.52)** GDP p.c. -6.88 (3.52)* Landlocked -23.84 (16.62)** Country Surface -5.12 (1.64)*** Constant 54.78 (22.79)** Observations 696 Figures in %. Robust standard errors in parenthesis; ***estimate is significant at 99% , **estimate is significant at (95%), *estimate is significant at 90%; Endogenous variables: Inter-state War, Inter-state War (ESCWA), GDP, GDP p.c.
  • 11. Effect of Conflict on Investment Variable Estimate Lagged Investment 0.53 (0.07)*** Civil War -7.25 (3.55)** Inter-state War 0.61 (0.41) Civil War (ESCWA) -2.55 (0.69)*** Inter-state War (ESCWA) -1.13 (7.99) ESCWA -0.61 (1.04) Volatility -0.00 (0.00)*** Financial Openness 0.03 (0.24) M2 -0.08 (0.02)*** Institutions 0.54 (0.60) Trade 0.42 (0.15)*** Latitude 4.24 (3.33) Landlocked -1.24 (1.69) Malaria -0.34 (0.12)*** Constant 7.91 (2.98)*** Observations 551 Figures in %. Endogenous variables: war_intl, war_intl_escwa, war_civil, war_civil_escwa, M2, Institutions, Trade, Fin_open, Volatility.
  • 12. Effect of Conflict on MDG Dimensions) HDI Social Immuniz. Life Average Access Child Inequal. Expect. School. to Sanit. Mortal. Civil War -0.00 -0.09*** -1.53* 0.30 -0.01 -0.41 1.32 -0.32 Inter-state -0.92*** -0.02 -4.12 -0.55*** -0.21** 0.32*** 3.33** -4.11 War Civil War -0.13 0.13 1.94 -1.38*** -0.03 -0.88 2.43** 15.23*** (ESCWA) Inter-state -1.63 -2.73*** -26.47 -1.78 -0.26 -0.03*** 0.02 -0.06 War (ESCWA) GDP p.c. 10.63*** 1.96*** 30.19*** 8.13*** 2.32*** -0.81 -0.01 2.36* Human = av. years of schooling * life expectancy; Immunization = % children aged 12- 23 months that have been immunized against measles.; Social: weighted av. of (i) av. years of education in the population, (ii) life expectancy, and (iii) rate of children immunization. Access to water, maternal mortality, child malnutrition are not significant after controlling for PC GDP.
  • 13. Estimated Impact of Conflict on Development Civil Conflict (%) Inter-state Confl (%) All ESCWA All ESCWA Countries Countries GDP p.c. (without Investment) -14.70 -17.40 -8.03 -8.03 GDP p.c. (with Investment) -15.15 -18.50 -7.06 -7.06 GDP p.c. (direct war effect) -1.70a -1.70a -1.90b -1.90b HDI -7.80 -9.20 -8.85 -8.85 Social Indicators -24.67 -27.44 -10.36 -19.32 Immunisation Rate -8.24 -9.35 -3.31 -3.31 Life Expectancy -1.98 -2.93 -1.96 -1.96 Average Years of Schooling -4.56 -4.56 -6.34 -6.34 Access to Sanitation Facilities -6.86 -6.86 -9.01 -12.12 Child Mortality 12.11 14.02 15.02 15.02 Income Inequality -0.80 37.5 -0.40 -0.40 Notes: Estimated effect of one additional year of war. For human development, immunization rate, life expectancy, average years of schooling, access to sanitation facilities, child mortality, and income inequality, the percentage is computed on the sample mean value of the indicator. For social development, the percentage is computed on the sample standard deviation of the indicator.
  • 14. Conflict – FS Nexus LOG10(foodimpshr) vs FSI ceryld vs FSI 2.0 10000.0 LOG10(foodimpshr) 1.2 6666.7 YEM ceryld 0.3 SDN 3333.3 PAL IRQ YEM SDN -0.5 0.0 0.0 40.0 80.0 120.0 0.0 40.0 80.0 120.0 FSI FSI PubHealth vs FSI LOG10(kcal) vs FSI 12.0 3.6 LOG10(kcal) PubHealth 8.0 3.4 SDN PAL YEM 3.3 4.0 IRQ YEM SDN 3.1 0.0 0.0 40.0 80.0 120.0 0.0 40.0 80.0 120.0 FSI FSI
  • 15. Post-conflict Challenges (1) • Service provision in post-conflict is particularly challenging • Populations needs are most acute and particularly concentrated in this phase • Public institutions and governance are particularly weak and fragmented (center-local divides and horizontal cleavages) • Elites capture and patronage risk is higher • Different political interests, approaches, and parallel diplomatic, military, and development-sponsored activities, reflected in fragmented institutional mechanisms • Limited capacity of military aid and its lack of coordination with ODA • The short-term aid governance approach often prevails over the long-term one (PIUs vis-à-vis governmental staff, shopping lists, subcontracting of essential services, fragmented short-term small scale projects) • Risk of emergency/aid dependence
  • 16. Post-conflict Challenges (2) Crowding-in or out Effect of Military Expenditures vs Social Expenditures? (% of GDP) Military Public education Public health expenditure expenditure expenditure Country average average average 2000- 2005- 2001- 2005- 2000- 2005- Conflict-affected 2004 2009 2004 2008 2004 2009 countries tend to Bahrain 4.40 3.36 - 3.10 2.79 2.66 Egypt 3.24 2.50 4.80 4.06 2.32 2.12 have over-inflated Iraq 2.38 4.54 - - 1.01 2.58 wage bills that can Jordan 5.74 5.22 - - 4.86 5.30 reach up to 1/3 of Kuwait 6.92 3.79 6.30 4.24 2.49 1.92 government budget Lebanon 4.91 4.29 2.64 2.46 3.44 3.93 (OPT, Iraq, Yemen) Oman 11.89 9.86 4.05 3.72 2.56 1.99 Qatar 3.88 2.25 2.14 - 2.37 2.07 Saudi Arabia 9.80 8.93 7.27 5.97 2.99 2.78 Sudan 3.77 4.24 - - 1.07 1.88 Syria 5.49 4.22 - 5.09 2.21 1.45 UAE 8.40 5.73 1.84 1.09 2.44 1.81 Yemen 6.16 4.62 9.63 5.15 2.42 1.62 ESCWA average 5.92> 4.89> 4.83> 3.88~ 2.71< 2.67< Arab Region 6.40 5.28 5.07 3.95 2.57 2.44 EAP 1.49 1.58 3.98 3.79 4.69 4.28 LAC 1.35 1.36 4.18 3.96 3.19 3.51 World average 2.39 2.48 4.33 4.45 5.64 5.76
  • 17. FS, Vulnerability, and Conflict - Vulnerability to shocks makes poor households risk averse in their asset-allocation strategy and this aversion is even more pronounced in conflict-affected areas often characterized by a cascading series of a combination of conflict-related, natural shocks, and international price shocks with the result of ever-decreasing food-security levels and passing up more risky but more profitable businesses. - Complementing social protection with government supported forms of insurance (but eventually market-based) can help the poor to improve their risk copying strategies Natural Conflict-driven Commodity Shock Shock price Shock
  • 18. Review of Food Aids • Food Aid highly volatile in the last two decades partly due to donors’ policies not always based on needs assessment • Food Aid not a tool to address long-term FS • Need for closer coordination among relief agencies and for medium- term budgeting • Food Aid works when local economic policy is addressed, it is temporary and limited to contexts lacking institutions and markets • Need to coordinate short-term relief ops with medium-term considerations (WFP P4P)
  • 19. Volatility of Humanitarian and Food Aid 1600 3,000,000 1400 2,500,000 1200 Afghanistan Angola Yemen 1000 2,000,000 DRC Syria Ethiopia Sudan 800 Mt Indonesia 1,500,000 OPT Iraq Lebanon 600 OPT Jordan 1,000,000 Somalia Iraq 400 Sudan Egypt 500,000 200 0 0 Period 1990-2008 1998 2000 2002 2004 2006 2008 2010
  • 20. But aid is also volatile at the regional level Deviation of Gulf state ODA and crude oil price from 1970–2007 average 20
  • 21. Governance deficit – conflict trap (I) The risk of renewed conflict in countries with good governance drops rapidly after conflict. In countries characterized by poor governance, this process takes much longer. Hence, improving governance is an important part in reducing conflict, and good governance will in turn decrease the likelihood of conflict. 21
  • 22. Governance deficit – conflict trap (II) Voice and Accountability Government Effectivness Rule of Law 0 0 0 -0.2 -0.2 -0.2 -0.4 -0.4 -0.4 -0.6 -0.6 -0.8 -0.6 -0.8 -1 -0.8 -1.2 -1 -1 -1.4 -1.2 -1.6 -1.2 -1.4 Regulatory Quality Control of Corruption Political Stability 1996 1998 2000 2002 2003 2004 2005 2006 2007 2008 2009 2010 0 0 0 -0.2 -0.5 -0.2 -0.4 -1 -0.4 -0.6 -0.6 -0.8 -1.5 -0.8 -1 -2 -1 -1.2 -1.2 -2.5
  • 23. Importance of land rights in conflict (I) Insecure or weakly enforced property rights: • Increase risk of expropriation, which diminishes incentives to invest and to produce • decrease productivity by necessitating the need to defend property in insecure environments • do not allow productive assets to be transferred to those who can use them for their livelihood (subsistence farmers) or most productively (commercial farmers) • do not allow a crucial asset supporting other transactions such as obtaining financing • can cause both grievance and greed • exacerbate over-urbanization and socio-economic disparities in the aftermath of a conflict • are an important driver of food security and therefore of social stability given that food price shocks hit the landless hardest and increase the incidence of riots 23
  • 24. Importance of land rights in conflict (II) • Friction or even open conflict between modern state-led (+ colonial) and customary or tribal property rights systems • Property disputes constitute the single largest cause of backlog cases in the judicial systems of most post- conflict countries including LDCs (great entry point to reform the judiciary) • Post-conflict government capacity is weak in terms of systematic and consistent law enforcement and informal governance systems tend to be relatively stronger • However, recent experiences have shown that remedies to this inherent contradiction are possible (DRC, Mali, Zimbabwe) 24
  • 25. Recommendations (I) • The breadth and depth of available data require immediate and significant improvements. • Conflict - Poverty (and informality) – Food Insecurity compound into inter-generational transmission of poverty, inequality, and conflict relapse • One year of a civil conflict in the region is enough to cancel development progress made by an average ESCWA country in 5-10 years • The potential presence of endogeneity suggests an existence of a ‘feedback-loop’ whereby the process of conflict and de-development feed on each other. In such instances, a ‘circuit-breaker’ is required to break this symbiotic vicious cycle.
  • 26. Recommendations (II) • Governmental action can be directed at reactivating the channels through which public goods are delivered. • Closer regional integration and better business environment can increase the peace dividend on these countries. • Expansion of family (and nutrition support) programs especially in rural areas to improve maternal health, provision of education with specific focus on girls education, and reduce fertility rates. - Support community-based development funds for infrastructure and services → labor generation, social capital and peace dividends - More use of JAM, joint CAS, PRSPs, SWAPs - Regional action aimed at tapping Sudan’s agricultural potential in a transparent manner - Review land policies in conflict-affected environments - Learn lessons from food aid and relief modalities and how to link them to livelihood programs (WFP’s P4P) - Reform CERF and establish a food aid emergency reserve (ASEAN) or multi-annual regional fund managed by WFP/OCHA
  • 27. Recommendations (III) • Strengthen governments’ efforts to preserve water resources and increase their rational utilization. • Agriculture (and the rural poor) in these countries is trapped in low value-added activities and mainly characterized by low productivity farming. It is therefore vital to increase efficiency in rain-fed agriculture, enhance ag R&D, and promote market linkages. • Donors need to move towards multi-year budgeting for their transfers to the relief agencies working in a conflict-affected country so that they can improve their planning and increase efficiency gains in their operations. Due to absorptive capacity constraints aid disbursements should gradually rise during first 3-5 years and then slowly revert back.
  • 28. Recommendations (IV) • With respect to the issues specifically raised in this report, future research should provide an even more comprehensive account of cross-regional differences in the development costs of war. • More work will be needed in the future in order to provide theoretical foundations to our findings: why is the negative effect of conflict sometimes associated with interstate conflict while other times is associated with civil conflict? Why is inequality disproportionally affected by conflict in this region? And what can we do to reduce the overall effect?
  • 29. Enhance Regional Cooperation through FS Conflict and FS are two regional problems that require a strong regional approach • How can cooperation be promoted? – Create Awareness: Previous Pan-Arab cooperation efforts were driven by ideology, not necessity. Cooperation in light of common threats to the conflict-food security nexus is a necessity – Build Political Commitment: EU and ASEAN were launched to promote peace and stability. The obstacles to successful regional integration were not necessarily easier than in the Arab world today – Provide Incentives: Cooperation must pay a peace dividend, financed by transfers and the creation of new economic opportunities. It is a positive sum game. – Promote specific actions: reinvigorated supranational actions need to be undertaken with specific responsibilities in the area of social assistance programs, rural development, gender and family planning, and the advancement of an Arab common market. – Manage External Support: The international community can help increase the opportunity cost from engaging in conflict through greater regional economic cooperation, including the dismantling of protectionism (by trade partners) and more efficient development aid.