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From Protection to Production:
   the impact of cash transfer
programs on economic activities
The rise of cash transfers
             in sub-Saharan Africa

• Around half sub-Saharan African countries have some
  kind of government run cash transfer programme

• Most others have multilateral/NGO run CT
  programmes

• Most programmes focus on rural poor
Range of designs

• Universal programmes (Old age pensions, child grants)
• Targeted programmes (Focus on ultra poor and other
  vulnerabilities)
• Cash for work programmes linked to productive
  activities
• Prominent role of community in targeting
• Unconditional (for the most part)
Impact evaluations in
                  sub-Saharan Africa
• Malawi SCT                        • Ethiopia
   – Mchinji pilot, 2008-2009          – PNSP, 2006-2010
   – Expansion, 2013-2014              – Tigray SPP, 2012-2014
• Kenya                             • Ghana LEAP
   – CT OVC, Pilot 2007-2011           – Pilot, 2010-2012
   – CT OVC, Expansion, 2012-2014   • Lesotho, CGP
   – HSNP, Pilot 2010-2012             – Pilot, 2011-2013
• Mozambique PSA                    • Uganda, SAGE
   – Expansion, 2008-2009              – Pilot, 2012-2014
• Zambia                            • Zimbabwe, SCT
   – Monze pilot, 2007-2010            – Pilot, 2013-2015
   – Child Grant, 2010-2013         • Tanzania, TASAF
• South Africa CSG                     – Pilot, 2009-2012
   – Retrospective, 2010               – Expansion, 2012-2014
• Burkina Faso                      • Niger
   – Experiment, 2008-2010             – Begins in 2012
Regional effort on CT impact evaluation
     coordinated by the Transfer Project
UNICEF, SCUK, UNC and FAO, in coordination with
national governments and partners
1. Regional learning, information exchange and
   network/community of practice
2. Technical assistance on design and implementation of
   impact evaluation and identification of research areas
3. Synthesis of regional lessons on program design and
   impacts
Transfer project identified cross country
                 thematic studies
1. Nutrition and food security
2. Health: use of services, morbidity, nutritional status
3. Education: enrollment, attendance, age of entry
4. Mitigation of HIV risk: sexual behavior and
   perceptions
5. Networks of reciprocal exchange
6. Psycho-social status (PSS), mental health, preferences
7. Productive activities and economic growth
Cash transfers targeted to poorest of the poor
         can have productive impacts
• Beneficiaries in sub-Saharan Africa:
   – predominately rural
   – most engaged in agriculture
   – most work for themselves
• Transfers can:
   – relax some of constraints brought on by market failure in
     credit and insurance
   – lead to multiplier effects in local village economy
   – reduce burden on social networks and informal insurance
     mechanisms
Example: agriculture is fundamental part of
     livelihoods of Kenya CT-OVC beneficiaries
•    Large majority are agricultural producers
      —   Over 80% produce crops; over 75% have livestock
•    Most grow local maize and beans, using traditional
     technology and low levels of modern inputs
•    Most have low levels of assets
      –   few acres of agricultural land, few small animals, basic agricultural tools
          and low levels of education
•    16% used credit in 2011
•    1/4 of adults worked in casual wage labor, 1/3 in own non
     ag business, 1/5 private transfers
•    42% of children worked on family farm
From Protection to Production Project
• Focus on understanding economic impacts of cash
  transfer programs
   – working with government and development partners in
     seven countries in sub-Saharan Africa
   – Adds value to ongoing impact evaluations
   – Mixed method approach
• Jointly with UNICEF-ESARO
• Primary funding from DFID (2011-2014)
• Under the umbrella of Transfer Project
1. Analysis of household decision making
 •   Via impact evaluation design, programme impact
     on household decisions regarding:
     –   Asset accumulation, agricultural and non agricultural
         productive activities and labor allocation/supply
     –   Role of home production on food security
     –   Risk coping strategies
 •   Finance, design, pilot and supervise
     implementation of additional modules in
     household surveys
 •   Preparation of methodological guidelines and
     analytical work
Household level impact
Kenya CT-OVC and Malawi SCT
  i. Increased ownership of small livestock
  ii. Greater share of household consumption of cereals,
       animal products and other foods produced via own
       production
  iii. Increased participation in nonfarm enterprise for
       female headed households (Kenya)
  iv. Mixed results on labor supply
     •   Malawi:
         ―    Decreased agricultural wage labor and child work off farm, and
         ―    Increased on farm activity by both adults and children
     •   Kenya:
         ―    Reduction in on farm child labor
2. Simulation of local economy impacts
•   Construct village CGE models for cash transfer
    program areas
    — Capture social and economic structure of village/local
      economy, including types of households
    — Simulate impact of cash transfer on local economy
•   Preparation of methodological guidelines and
    analytical work led by Ed Taylor at UC Davis
•   Joint funding and dissemination with World Bank
How do local economy effects work?
• Immediate impact of transfer will raise purchasing power of
  beneficiary households.
• As beneficiary households spend cash, impacts immediately
  spread outside beneficiary households to others inside and
  outside treated villages, setting in motion income multipliers
• Periodic markets and purchases outside village will shift
  income effects to non-treated villages, potentially unleashing
  income multipliers there.
• In longer run, as program is scaled up, transfers will have
  direct and indirect (or general equilibrium) effects throughout
  the region of implementation.
   – General equilibrium effects are not captured in randomized impact
     evaluation
Results from Lesotho


                                         Multiplier           Level Change
Total Income
                      Nominal              2.23                 7.38 million
                         (CI)          (2.08 - 2.44)           (6.89 - 8.06)
                        Real               1.36                  4.5 million
                         (CI)          (1.25 - 1.45)           (4.15 - 4.80)

          Total value of transfer: 3.3 million Maloti (US$ 361,000)

          Divergence between nominal and real values due to land
          and capital supply constraints
Effect on Household Incomes

                                              Share of total
Beneficiary (24%)                Multiplier     benefits
                 nominal           1.15
                       real        1.03           76%
Non beneficiary
(76%)
                 nominal           1.08
                       real        0.33           24%



  Total real multiplier = 1.36
Effects on Value of Production


Production multiplier for:                  Beneficiary   Non beneficiary
                           Crop                0.03            0.15
                      Livestock                0.02            0.26
                          Retail               0.07            0.52
                       Services                  0             0.08
              Other Production                   0               0
                         TOTAL                 0.13            1.01
         For every 1 Maloti transferred to beneficiary
         households, the value of production earned
         by non beneficiary households increases
         1.01 Maloti
Alternative market structure scenarios


                                    Final scenario Alternative 1   Alternative 2


Elasticity of labor supply              High           Low             Low
Liquidity constraint on
purchased inputs                         off            off             on

Total Income multipliers
                             Real       1.36           1.14            1.02
                              (CI) ( 1.25- 1.45)   ( 1.08- 1.20)   ( 0.94- 1.09)

                       Keeping constraints on land and capital;
                       Assumptions on market structure come from
                       qualitative fieldwork and expert opinion
Magnitude of local economy
          effects depends on
• Size of transfer
• Share of households receiving transfer
• How much of transfer is spent on goods
  and services produced within community
• Constraints on supply response by local
  producers and traders
3. Community dynamics

•   Qualitative field work in each country at
    community level
•   Focus on economic activities, social networks
    and operations
•   Integration with quantitative analysis
•   Preparation of methodological guidelines, field
    work and analysis led by OPM
Results from Ghana
     (LEAP - targeted to poor households)
i.   Food, education and health top priority, then
     investment in farming
ii. Lumpier payments encourage investment
iii. Pay down debt
     •   Increased access to credit, but not always used
iv. Beneficiaries able to re-enter social networks
     •   They can contribute more, enhancing risk sharing and
         expanding coping mechanisms
     •   Broadens social capital base
v. Local economy stimulated
     •   More diversified goods available, enhanced labor market
Including the productive dimension in
          cash transfer programmes
•   Success of cash transfer programmes does not
    depend on productive impacts—not part of original
    objectives
•   Yet clear that in context of livelihoods based on self
    employment combined with market imperfections/
    failures, consumption and production decisions of
    beneficiary households are linked
Including the productive dimension in
           cash transfer programmes
•   Contribute to programme design
    – Implications for “social” side: you cannot separate from
      livelihoods
       • Labour allocation
       • Intra-household decision making
       • Food consumpion, dietary diversity and nutrition
    – Cash transfers can contribute to productivity gains
       • Through health and education
       • Providing liquidity and reducing risk
       • Combined with complementary programs
    – Link to graduation strategies
Including the productive dimension in
           cash transfer programmes
•   Contribute to policy debate
    – Understand overall contribution of CT programs to poverty
      reduction in short and long term
    – Political economy: more support for CT programs
    – Articulation as part of rural/agricultural development strategy
       –   Bring together sectoral ministries (Ethiopia)
       –   Social protection and cash transfers will not reduce poverty by itself
       –   Centrality of improving small holder productivity
       –   In most of Sub Saharan Africa, for foreseeable future, exit from poverty
           not through formal wage labor, as in LAC
Extensions

•   Child labor
    –   Understanding Child Work (UNICEF, ILO and World Bank)
    –   Kenya, Malawi, Lesotho and Zambia

•   Climate change adaptation
    –   Economics and Policy Innovations in Climate-Smart
        Agriculture (EPIC) project at FAO
    –   Malawi
Entry points for the future
•   Transfer Project unfunded
    –       Indirectly supported by FAO, EU, UNC and others
    –       What have we done so far?
        •      Continual technical assistance
        •      Annual research workshop
    –       What’s missing?
        •      Capacity building with government
        •      National use of data
        •      Communications
        •      Research community of practice
•   Cross country thematic studies
    –       Nutrition and food security
    –       Mitigation of HIV risk
PtoP country timelines

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How cash transfers can boost local economies

  • 1. From Protection to Production: the impact of cash transfer programs on economic activities
  • 2. The rise of cash transfers in sub-Saharan Africa • Around half sub-Saharan African countries have some kind of government run cash transfer programme • Most others have multilateral/NGO run CT programmes • Most programmes focus on rural poor
  • 3. Range of designs • Universal programmes (Old age pensions, child grants) • Targeted programmes (Focus on ultra poor and other vulnerabilities) • Cash for work programmes linked to productive activities • Prominent role of community in targeting • Unconditional (for the most part)
  • 4. Impact evaluations in sub-Saharan Africa • Malawi SCT • Ethiopia – Mchinji pilot, 2008-2009 – PNSP, 2006-2010 – Expansion, 2013-2014 – Tigray SPP, 2012-2014 • Kenya • Ghana LEAP – CT OVC, Pilot 2007-2011 – Pilot, 2010-2012 – CT OVC, Expansion, 2012-2014 • Lesotho, CGP – HSNP, Pilot 2010-2012 – Pilot, 2011-2013 • Mozambique PSA • Uganda, SAGE – Expansion, 2008-2009 – Pilot, 2012-2014 • Zambia • Zimbabwe, SCT – Monze pilot, 2007-2010 – Pilot, 2013-2015 – Child Grant, 2010-2013 • Tanzania, TASAF • South Africa CSG – Pilot, 2009-2012 – Retrospective, 2010 – Expansion, 2012-2014 • Burkina Faso • Niger – Experiment, 2008-2010 – Begins in 2012
  • 5. Regional effort on CT impact evaluation coordinated by the Transfer Project UNICEF, SCUK, UNC and FAO, in coordination with national governments and partners 1. Regional learning, information exchange and network/community of practice 2. Technical assistance on design and implementation of impact evaluation and identification of research areas 3. Synthesis of regional lessons on program design and impacts
  • 6. Transfer project identified cross country thematic studies 1. Nutrition and food security 2. Health: use of services, morbidity, nutritional status 3. Education: enrollment, attendance, age of entry 4. Mitigation of HIV risk: sexual behavior and perceptions 5. Networks of reciprocal exchange 6. Psycho-social status (PSS), mental health, preferences 7. Productive activities and economic growth
  • 7. Cash transfers targeted to poorest of the poor can have productive impacts • Beneficiaries in sub-Saharan Africa: – predominately rural – most engaged in agriculture – most work for themselves • Transfers can: – relax some of constraints brought on by market failure in credit and insurance – lead to multiplier effects in local village economy – reduce burden on social networks and informal insurance mechanisms
  • 8. Example: agriculture is fundamental part of livelihoods of Kenya CT-OVC beneficiaries • Large majority are agricultural producers — Over 80% produce crops; over 75% have livestock • Most grow local maize and beans, using traditional technology and low levels of modern inputs • Most have low levels of assets – few acres of agricultural land, few small animals, basic agricultural tools and low levels of education • 16% used credit in 2011 • 1/4 of adults worked in casual wage labor, 1/3 in own non ag business, 1/5 private transfers • 42% of children worked on family farm
  • 9. From Protection to Production Project • Focus on understanding economic impacts of cash transfer programs – working with government and development partners in seven countries in sub-Saharan Africa – Adds value to ongoing impact evaluations – Mixed method approach • Jointly with UNICEF-ESARO • Primary funding from DFID (2011-2014) • Under the umbrella of Transfer Project
  • 10. 1. Analysis of household decision making • Via impact evaluation design, programme impact on household decisions regarding: – Asset accumulation, agricultural and non agricultural productive activities and labor allocation/supply – Role of home production on food security – Risk coping strategies • Finance, design, pilot and supervise implementation of additional modules in household surveys • Preparation of methodological guidelines and analytical work
  • 11. Household level impact Kenya CT-OVC and Malawi SCT i. Increased ownership of small livestock ii. Greater share of household consumption of cereals, animal products and other foods produced via own production iii. Increased participation in nonfarm enterprise for female headed households (Kenya) iv. Mixed results on labor supply • Malawi: ― Decreased agricultural wage labor and child work off farm, and ― Increased on farm activity by both adults and children • Kenya: ― Reduction in on farm child labor
  • 12. 2. Simulation of local economy impacts • Construct village CGE models for cash transfer program areas — Capture social and economic structure of village/local economy, including types of households — Simulate impact of cash transfer on local economy • Preparation of methodological guidelines and analytical work led by Ed Taylor at UC Davis • Joint funding and dissemination with World Bank
  • 13. How do local economy effects work? • Immediate impact of transfer will raise purchasing power of beneficiary households. • As beneficiary households spend cash, impacts immediately spread outside beneficiary households to others inside and outside treated villages, setting in motion income multipliers • Periodic markets and purchases outside village will shift income effects to non-treated villages, potentially unleashing income multipliers there. • In longer run, as program is scaled up, transfers will have direct and indirect (or general equilibrium) effects throughout the region of implementation. – General equilibrium effects are not captured in randomized impact evaluation
  • 14. Results from Lesotho Multiplier Level Change Total Income Nominal 2.23 7.38 million (CI) (2.08 - 2.44) (6.89 - 8.06) Real 1.36 4.5 million (CI) (1.25 - 1.45) (4.15 - 4.80) Total value of transfer: 3.3 million Maloti (US$ 361,000) Divergence between nominal and real values due to land and capital supply constraints
  • 15. Effect on Household Incomes Share of total Beneficiary (24%) Multiplier benefits nominal 1.15 real 1.03 76% Non beneficiary (76%) nominal 1.08 real 0.33 24% Total real multiplier = 1.36
  • 16. Effects on Value of Production Production multiplier for: Beneficiary Non beneficiary Crop 0.03 0.15 Livestock 0.02 0.26 Retail 0.07 0.52 Services 0 0.08 Other Production 0 0 TOTAL 0.13 1.01 For every 1 Maloti transferred to beneficiary households, the value of production earned by non beneficiary households increases 1.01 Maloti
  • 17. Alternative market structure scenarios Final scenario Alternative 1 Alternative 2 Elasticity of labor supply High Low Low Liquidity constraint on purchased inputs off off on Total Income multipliers Real 1.36 1.14 1.02 (CI) ( 1.25- 1.45) ( 1.08- 1.20) ( 0.94- 1.09) Keeping constraints on land and capital; Assumptions on market structure come from qualitative fieldwork and expert opinion
  • 18. Magnitude of local economy effects depends on • Size of transfer • Share of households receiving transfer • How much of transfer is spent on goods and services produced within community • Constraints on supply response by local producers and traders
  • 19. 3. Community dynamics • Qualitative field work in each country at community level • Focus on economic activities, social networks and operations • Integration with quantitative analysis • Preparation of methodological guidelines, field work and analysis led by OPM
  • 20. Results from Ghana (LEAP - targeted to poor households) i. Food, education and health top priority, then investment in farming ii. Lumpier payments encourage investment iii. Pay down debt • Increased access to credit, but not always used iv. Beneficiaries able to re-enter social networks • They can contribute more, enhancing risk sharing and expanding coping mechanisms • Broadens social capital base v. Local economy stimulated • More diversified goods available, enhanced labor market
  • 21. Including the productive dimension in cash transfer programmes • Success of cash transfer programmes does not depend on productive impacts—not part of original objectives • Yet clear that in context of livelihoods based on self employment combined with market imperfections/ failures, consumption and production decisions of beneficiary households are linked
  • 22. Including the productive dimension in cash transfer programmes • Contribute to programme design – Implications for “social” side: you cannot separate from livelihoods • Labour allocation • Intra-household decision making • Food consumpion, dietary diversity and nutrition – Cash transfers can contribute to productivity gains • Through health and education • Providing liquidity and reducing risk • Combined with complementary programs – Link to graduation strategies
  • 23. Including the productive dimension in cash transfer programmes • Contribute to policy debate – Understand overall contribution of CT programs to poverty reduction in short and long term – Political economy: more support for CT programs – Articulation as part of rural/agricultural development strategy – Bring together sectoral ministries (Ethiopia) – Social protection and cash transfers will not reduce poverty by itself – Centrality of improving small holder productivity – In most of Sub Saharan Africa, for foreseeable future, exit from poverty not through formal wage labor, as in LAC
  • 24. Extensions • Child labor – Understanding Child Work (UNICEF, ILO and World Bank) – Kenya, Malawi, Lesotho and Zambia • Climate change adaptation – Economics and Policy Innovations in Climate-Smart Agriculture (EPIC) project at FAO – Malawi
  • 25. Entry points for the future • Transfer Project unfunded – Indirectly supported by FAO, EU, UNC and others – What have we done so far? • Continual technical assistance • Annual research workshop – What’s missing? • Capacity building with government • National use of data • Communications • Research community of practice • Cross country thematic studies – Nutrition and food security – Mitigation of HIV risk