1 / 11

Welfare Dynamics in Rural Kenya and Madagascar

Welfare Dynamics in Rural Kenya and Madagascar. Christopher B. Barrett, Paswel Marenya, John McPeak, Bart Minten, Festus Murithi, Willis Oluoch-Kosura, Frank Place, Jean Claude Randrianarisoa, Jhon Rasambainarivo and Justine Wangila November 15, 2004 USAID BASIS CRSP Policy Conference

italia
Download Presentation

Welfare Dynamics in Rural Kenya and Madagascar

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Welfare Dynamics in Rural Kenya and Madagascar Christopher B. Barrett, Paswel Marenya, John McPeak, Bart Minten, Festus Murithi, Willis Oluoch-Kosura, Frank Place, Jean Claude Randrianarisoa, Jhon Rasambainarivo and Justine Wangila November 15, 2004 USAID BASIS CRSP Policy Conference Combating Persistent Poverty in Africa Washington, DC

  2. Why is poverty so persistent in rural Africa? The design of appropriate strategies to combat persistent poverty depend on its origins. Is poverty something … … all people naturally grow out of in time (unconditional convergence)? … implies laissez-faire /macro focus. … some people grow out of in time (conditional convergence)? … implies need for targeted productivity improvements. … some people can be trapped in perpetually (poverty traps due to multiple equilibria)? … implies need for safety nets and cargo nets.

  3. Economic Mobility and Poverty Dynamics Ultra-Poverty Transition Matrices As measured against $0.50/day per capita income poverty line Kenya rural poverty line ~ $0.53 Madagascar poverty line ~ $0.43 Poverty deepest and most persistent where agroecology and markets least favorable (“remote rural areas” or “less favored lands”)

  4. Economic Mobility and Poverty Dynamics Moving beyond headcount measures We want to know the directions and magnitudes of welfare change, not just discrete movements relative to an arbitrary poverty line. Annual average percent change in income, by site and resurveying interval Key point: Short panels may exaggerate economic mobility. Much year-on-year change is random. When we look at longer-term transitions, a lot of stasis – look at structural determinants

  5. Economic Mobility and Poverty Dynamics Raw data suggests convergence … But structural component suggests multiple equilibria Blue (red) dashed lines are structural (stochastic) component of income change

  6. Summary of Findings on Economic Mobility and Poverty Dynamics • Considerable persistence of ultra-poverty with low rates of net exit from poverty • Poverty deepest where agroecology and markets least favorable (“remote rural areas” or “less favored lands”) • Stochastic component of income appears substantial • Structural component consistent w/existence of multiple equilibria • Data consistent with both the conditional convergence and poverty traps hypotheses..

  7. Why Economic Immobility? Explanation 1: Wealth-differentiated risk mgmt Asset and consumption smoothing among northern Kenya pastoralists … Associated with locally increasing income returns to herd size. Consumption smoothing a luxury enjoyed by the wealthiest third.

  8. Why Economic Immobility? Explanation 2: Locally increasing returns Barriers to entry into higher-return activities - educational attainment and social network rationing (skilled off-farm employment) - labor and liquidity constraints and SRI … expected result is nonlinear asset dynamics, with rapid accumulation beyond key thresholds Marginal return to hh labor supply and rice area, Fianarantsoa

  9. Asset Dynamics with Multiple Equilibria Asset dynamics appear consistent in the Kenya sites with multiple equilibria, but low-level conditional convergence seems to fit the Madagascar sites better. Herd Dynamics Northern Kenya Rangelands Asset Index Dynamics Highland Kenya/Madagascar

  10. Conclusions and Policy Implications • Sound policy design and programming requires a clear idea of the causal mechanism behind persistent poverty. • No support for the unconditional convergence hypothesis. • Conditional convergence apparent at community level in both countries. In Madagascar, the evidence points to geographic poverty traps and the need for exogenous productivity improvements to create path out of poverty. • Qual-quant evidence most consistent with poverty traps hypothesis in rural Kenya. Also need multi-dimensional safety nets to protect assets to block pathways into poverty (due to health shocks, natural disasters, etc.). • Poverty traps seem to exist due to missing financial markets and (i) excessive risk exposure and/or (ii) significant barriers to entry to remunerative livelihoods.

  11. Misaotra! Asante! Thank you!

More Related