Rural Poverty Dynamics: Development Policy Implications Christopher B. Barrett August 2003 25 th triennial IAAE conference Durban, South Africa.

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Presentation transcript:

Rural Poverty Dynamics: Development Policy Implications Christopher B. Barrett August th triennial IAAE conference Durban, South Africa

“Most of the people in the world are poor, so if we knew the economics of being poor we would know much of the economics that really matters. Most of the world’s poor people earn their living from agriculture, so if we knew the economics of agriculture we would know much of the economics of being poor.” - T.W. Schultz (1980) Nobel Lecture What have we learned since Schultz? What do we most still need to learn?

Rural poverty dynamics: What we know Claim: Poverty dynamics a more fundamental policy concern than static concerns about the location of a poverty line or instantaneous poverty measures. Why? Because some of the poor need assistance and some do not. And the sort of assistance needed varies by initial conditions. Picking the right policy to help a given subpopulation depends on accurate understanding of rural poverty dynamics.

Rural poverty dynamics: What we know The simple mathematics of income dynamics: Y = A`R + ε T + ε M (1) R = r + ε R (2) dY = dA`R + A`dr + A`dε R + dε T + dε M (5) E[dY] = dA`r + A`dr (6) Equation (6) embodies the past half century’s core economic growth and poverty reduction strategies.

Rural poverty dynamics: What we know Key distinction #1: Transitory and Chronic Poverty Transitory = temporarily below poverty line, whether due to chance or choice Chronic = consistently below poverty line, typically due to poor asset endowment, low returns on assets, or both Transitory poverty undesirable, but what role for policy, given that the transitorily poor recover in time of their own accord? Caution: Due to ε M, the transitory poverty is often overstated.

Rural poverty dynamics: What we know Key distinction #2: Safety Nets and Cargo Nets Safety nets prevent the non-poor and transitorily poor from falling into chronic poverty - Ex: crop/unemployment insurance, disaster aid dY = dA`R + A`dr + A`dε R + dε T + dεM (5) Cargo nets lift/help poor climb out of chronic poverty - Ex: land reform, school feeding, subsidized microfinance or agricultural input programs Safety nets block pathways into chronic poverty. Cargo nets help set people onto pathways out of chronic poverty.

Rural poverty dynamics: What we know Identifying and Explaining Chronic Poverty Different people need different types of policies. So we must be able to sort between the chronically and transitorily poor. Easy to do ex post, tougher to do ex ante: structural correlates of chronic poverty help provide indicator/geographic monitoring/targeting variables based on - born into poverty and cannot accumulate assets - cannot effectively employ assets they own - physical, cultural, political geography - adverse shock(s)

Rural poverty dynamics: What we still need to learn Chronic poverty likely not just about (i) weak hh/comm-level endowments, (ii) exogenous changes in returns to assets, or (iii) shocks … but last category offers an important clue. Shocks can have persistent effects only in the presence of hysteresis that generates irreversibilities or differential rates of recovery from shocks. Suggests nonlinearities associated with poverty traps.

Rural poverty dynamics: What we still need to learn Uncovering poverty traps and threshold effects The pivotal feature of poverty traps: asset thresholds that people have a difficult time crossing from below. Threshold effects generate multiple dynamic equilibria with expected path dynamics bifurcating at the threshold. Suggests potential endogenously increasing r due to: (i)Risk avoidance behavior (ii)Credit market imperfections and imperfect matching (iii) Locally IRS due to discrete occupations/technologies

Rural poverty dynamics: What we still need to learn Practical problem: the existence of endogenously increasing returns is less interesting, useful (and difficult) than identifying the relevant thresholds at which welfare dynamics bifurcate. Methodological challenge: tough to find using parametric methods and in small samples because looking for an unstable equilibrium, and cannot uncover using quantile-based growth differences. Figure 1: Nonparametric estimates of expected herd size transitions in southern Ethiopia (Lybbert et al. 2002)

Rural poverty dynamics: What we still need to learn Value of qualitative methods for uncovering thresholds Looking for thresholds in distributional data: find multiple equilibria manifest in “twin-peakedness” (Quah 1996) Figure 2: Bimodal income in western Kenya Figure 3: Bimodal cattle wealth in southern Ethiopia

Rural poverty dynamics: What we still need to learn Unimodal distributions may appear in geographic poverty traps, where there are few pathways out of poverty and few non-poor households (“less-favored lands”). Figure 4: Intertemporal shifts in unimodal income distributions

Rural poverty dynamics: What we still need to learn Explaining poverty traps There are multiple pathways out of poverty: worry less about a particular path than about the existence of some path. Poverty traps exist when a household’s optimal strategy does not lead to accumulation of assets necessary to grow out of poverty. Why might this be? (i)Locally increasing returns based on discreteness - Importance of transition technologies/occupations (ii)Financial market failures - displacement of finance into other markets

Development Policy Implications (1) Need to distinguish chronic from transitory poverty and to focus more on asset-based poverty measures (2) Important distinction between cargo nets and safety nets (3) Targeting issues (who/what/where/when/how) central: - geographic targeting for less-favored lands and in wake of natural/manmade disasters - indicator targeting related to variables that define critical thresholds - self-targeting: useful for safety nets when used as standing policies. Less good for chronic poverty or when implemented reactively. - importance of triage in transfer programs.

Development Policy Implications In order to enable the chronically poor to being accumulating productive assets, one must know what factors currently most limit their choices. Here, the familiar range of micro-to-macro issues emerge. Simple, blanket prescriptions rarely work. Effective development policy depends on careful, empirical research customized to local conditions. The roots of effective development policy lie in uncovering the mechanisms underlying rural poverty dynamics.

Thank you for your time, attention and comments!