The impact of changing rainfall variability on resource-dependent wealth dynamics

被引:33
作者
Barrett, Christopher B. [1 ,3 ,4 ]
Santos, Paulo [2 ]
机构
[1] Cornell Univ, Charles H Dyson Sch Appl Econ & Management, Ithaca, NY 14853 USA
[2] Monash Univ, Dept Econ, Clayton, Vic 3800, Australia
[3] Cornell Univ, David R Atkinson Ctr Sustainable Future, Ithaca, NY 14853 USA
[4] Cornell Univ, Dept Econ, Ithaca, NY 14853 USA
关键词
Climate change; Drought; Ethiopia; Livestock; Pastoralism; Poverty traps; SUBJECTIVE EXPECTATIONS; PERSISTENT POVERTY; CLIMATE-CHANGE; DROUGHT; AFRICA; RISK; LIVESTOCK; ETHIOPIA; GROWTH; SHOCKS;
D O I
10.1016/j.ecolecon.2014.05.009
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Climate change is widely expected to lead to changing rainfall variability and thus to changing frequency of drought. In places where drought is a major driver of agroecosystem dynamics, as in the extensive livestock grazing systems that dominate Africa's sprawling arid and semi-arid lands, changing rainfall variability can fundamentally alter human wealth dynamics. We use subjective livestock herd growth expectations data elicited from Boran pastoralists in southern Ethiopia to generate estimates of herd dynamics conditional on rainfall state. The climate state-conditional estimates permit simulation of herd dynamics under different rainfall patterns. The multiple herd size equilibria observed in multiple pastoralist household data sets from the region appear sensitive to climate regimes. Reduced rainfall variability that significantly reduces drought frequency would eliminate, in expectation, the poverty trap equilibrium that presently exists only for households with herd sizes beneath a threshold level. Conversely, if the drought frequency more than doubles relative to recent patterns, then the whole system becomes a poverty trap, in expectation. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:48 / 54
页数:7
相关论文
共 57 条
[1]   Exploring poverty traps and social exclusion in South Africa using qualitative and quantitative data [J].
Adato, M ;
Carter, MR ;
May, J .
JOURNAL OF DEVELOPMENT STUDIES, 2006, 42 (02) :226-247
[2]   Climate volatility deepens poverty vulnerability in developing countries [J].
Ahmed, Syud A. ;
Diffenbaugh, Noah S. ;
Hertel, Thomas W. .
ENVIRONMENTAL RESEARCH LETTERS, 2009, 4 (03)
[3]   Determination of yield and erosion damage functions using subjectively elicited data: application to smallholder tea in Sri Lanka [J].
Ananda, J ;
Herath, G ;
Chisholm, A .
AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS, 2001, 45 (02) :275-289
[4]  
Assefa M., 1990, THESIS COLORADO STAT
[5]  
Azariadis C, 2005, HANDB ECON, V22, P295
[6]   Welfare dynamics in rural Kenya and Madagascar [J].
Barrett, CB ;
Marenya, PP ;
McPeak, J ;
Minten, B ;
Murithi, F ;
Oluoch-Kosura, W ;
Place, F ;
Randrianarisoa, JC ;
Rasambainarivo, J ;
Wangila, J .
JOURNAL OF DEVELOPMENT STUDIES, 2006, 42 (02) :248-277
[7]   The Economics of Poverty Traps and Persistent Poverty: Empirical and Policy Implications [J].
Barrett, Christopher B. ;
Carter, Michael R. .
JOURNAL OF DEVELOPMENT STUDIES, 2013, 49 (07) :976-990
[8]  
Barth Fredrik., 1967, THEMES EC ANTHR, P149
[9]  
BEHNKE RH, 1993, RANGE ECOLOGY AT DISEQUILIBRIUM, P1
[10]  
Beresteanu A., 2000, Bounds for Stata: draft version 1.0