方法对比

	Asset Poverty Trap Analysis	Resilience Measurement for Development
领域	Development Studies	Development Studies
方法族	Process / pipeline	Process / pipeline
起源年份	2006	2016
提出者	Michael R. Carter & Christopher B. Barrett	FAO (RIMA); Christophe Béné and colleagues (conceptual framing)
类型	Panel-data test for nonlinear asset dynamics and poverty traps	Latent-variable framework for measuring development resilience
开创性文献	Carter, M. R., & Barrett, C. B. (2006). The economics of poverty traps and persistent poverty: An asset-based approach. Journal of Development Studies, 42(2), 178–199.	FAO (2016). RIMA-II: Resilience Index Measurement and Analysis-II. Food and Agriculture Organization of the United Nations, Rome.
别名	Poverty Trap Analysis, Asset Dynamics Analysis, Micawber Threshold Estimation, Dynamic Asset Poverty Analysis	RIMA, Resilience Index Measurement and Analysis, Resilience Capacity Index, Development Resilience Measurement
相关	4	4
摘要	Asset Poverty Trap Analysis tests whether households face nonlinear asset dynamics that can trap them in persistent poverty, using panel data on what households own rather than on what they earn. Developed by Michael Carter and Christopher Barrett (2006), the approach estimates the asset recursion — how a household's asset stock this period maps into its stock next period — and looks for multiple equilibria. When that mapping is S-shaped, there is an unstable equilibrium, the Micawber threshold, below which households converge toward a low-asset trap and above which they accumulate toward a higher equilibrium. This yields a dynamic asset poverty line and a structural reading of who is poor and likely to stay poor.	Resilience Measurement and Analysis is a family of methods for quantifying the ability of households and communities to withstand, recover from, and adapt to shocks and stresses while maintaining or improving their well-being, especially food security. Exemplified by the FAO's Resilience Index Measurement and Analysis (RIMA-II) and informed by Béné and colleagues' critical conceptual work, it treats resilience as a latent capacity inferred from observable assets, access to services, and adaptive behaviours, estimated statistically and tracked over time to inform and evaluate resilience-building interventions.