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| Helgeson, Jennifer F; London School of Economics and Political Science, Department of Geography and Environment; The Grantham Research Institute on Climate Change and the Environment; j.helgeson@lse.ac.uk; Dietz, Simon; London School of Economics and Political Science, Department of Geography and Environment; The Grantham Research Institute on Climate Change and the Environment; s.dietz@lse.ac.uk; Hochrainer-Stigler, Stefan; IIASA - International Institute for Applied Systems Analysis; hochrain@iiasa.ac.at. |
| When a natural disaster hits, the affected households try to cope with its impacts. A variety of coping strategies, from reducing current consumption to disposing of productive assets, may be employed. The latter strategies are especially worrisome because they may reduce the capacity of the household to generate income in the future, possibly leading to chronic poverty. We used the results of a household survey in rural Uganda to ask, first, what coping strategies would tend to be employed in the event of a weather disaster, second, given that multiple strategies can be chosen, in what combinations would they tend to be employed, and, third, given that asset-liquidation strategies can be particularly harmful for the future income prospects of households,... |
| Tipo: Peer-Reviewed Insight |
Palavras-chave: Coping strategies; Covariate risk; Education; Extreme weather; Poverty trap; Small-scale farming; Uganda; Vulnerability. |
| Ano: 2013 |
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| Ito, Takahiro; Kurosaki, Takashi. |
| As one of the measures to smooth income, this paper focuses on the diversification of labor allocation across activities. A key feature of this paper is that it pays particular attention to differences in the covariance between weather risk and agricultural wages and between weather risk and nonagricultural wages. We estimate a multivariate tobit model of labor allocation using household data from rural areas of Bihar and Uttar Pradesh, India. The regression results show that the share of the offfarm labor supply increases with the weather risk, and the increase is much larger in the case of nonagricultural wage work than in the case of agricultural wage work. Simulation results based on the regression estimates show that the sectoral difference is... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Covariate risk; Nonfarm employment; Selfemployment; Food security; India; Labor and Human Capital; Q12; O15; J22. |
| Ano: 2006 |
URL: http://purl.umn.edu/25774 |
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