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Climate induced vulnerability to poverty among smallholder farmers: Evidence from Malawi

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  • Maganga, Assa M.
  • Chiwaula, Levison
  • Kambewa, Patrick

Abstract

Assessment of farmers’ climate change induced vulnerability is an important step for enhancing the understanding and decision-making to reduce such vulnerability. Using panel version of Malawi Living Standards Measurement Survey data of 2010, 2013 and 2016, this paper examines the magnitude of climate induced vulnerability to expected poverty among farming households and how climate change relates to ex-post poverty and poverty transition. We find that vulnerability is strongly associated with short-run climate stresses and less so with the long-run climate related shocks. The effects of vulnerability on actual poverty lessen with time in the long run. Similarly, climate related stresses worsen the welfare of farming households. Droughts, floods and irregular rainfall exacerbates poverty with droughts showing the greatest impact on farmers welfare loss, followed by floods. The study underscores the importance of livestock, in buffering against poverty through serving a safety net, and off-farm income-generating activities. This suggests that the inclusion of livestock in shaping of climate management policies for farmers is crucial.

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  • Maganga, Assa M. & Chiwaula, Levison & Kambewa, Patrick, 2021. "Climate induced vulnerability to poverty among smallholder farmers: Evidence from Malawi," World Development Perspectives, Elsevier, vol. 21(C).
  • Handle: RePEc:eee:wodepe:v:21:y:2021:i:c:s245229292030093x
    DOI: 10.1016/j.wdp.2020.100273
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    1. Dercon, Stefan, 2004. "Growth and shocks: evidence from rural Ethiopia," Journal of Development Economics, Elsevier, vol. 74(2), pages 309-329, August.
    2. Günther, Isabel & Harttgen, Kenneth, 2009. "Estimating Households Vulnerability to Idiosyncratic and Covariate Shocks: A Novel Method Applied in Madagascar," World Development, Elsevier, vol. 37(7), pages 1222-1234, July.
    3. Pradeep Kurukulasuriya & Robert Mendelsohn & Rashid Hassan & James Benhin & Temesgen Deressa & Mbaye Diop & Helmy Mohamed Eid & K. Yerfi Fosu & Glwadys Gbetibouo & Suman Jain & Ali Mahamadou & Renneth, 2006. "Will African Agriculture Survive Climate Change?," The World Bank Economic Review, World Bank, vol. 20(3), pages 367-388.
    4. J. A. L. Cranfield & James S. Eales & Thomas W. Hertel & Paul V. Preckel, 2003. "Model selection when estimating and predicting consumer demands using international, cross section data," Empirical Economics, Springer, vol. 28(2), pages 353-364, April.
    5. Md. Shafiul Azam & Katsushi Imai, 2009. "Vulnerability and Poverty in Bangladesh," Economics Discussion Paper Series 0905, Economics, The University of Manchester.
    6. Neil McCulloch & Bob Baulch, 2000. "Simulating the impact of policy upon chronic and transitory poverty in rural Pakistan," Journal of Development Studies, Taylor & Francis Journals, vol. 36(6), pages 100-130.
    7. Newman, Constance & Canagarajah, Sudharshan, 2000. "Gender, poverty, and nonfarm employment in Ghana and Uganda," Policy Research Working Paper Series 2367, The World Bank.
    8. Ethan Ligon & Laura Schechter, 2003. "Measuring Vulnerability," Economic Journal, Royal Economic Society, vol. 113(486), pages 95-102, March.
    9. Nordhagen, Stella & Pascual, Unai, 2013. "The Impact of Climate Shocks on Seed Purchase Decisions in Malawi: Implications for Climate Change Adaptation," World Development, Elsevier, vol. 43(C), pages 238-251.
    10. Asep Suryahadi & Sudarno Sumarto, 2003. "Poverty and Vulnerability in Indonesia Before and After the Economic Crisis," Asian Economic Journal, East Asian Economic Association, vol. 17(1), pages 45-64, March.
    11. Amemiya, Takeshi, 1977. "The Maximum Likelihood and the Nonlinear Three-Stage Least Squares Estimator in the General Nonlinear Simultaneous Equation Model," Econometrica, Econometric Society, vol. 45(4), pages 955-968, May.
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    1. Qihang Li & Peng Sun & Bo Li & Muhammad Mohiuddin, 2022. "Impact of Climate Change on Rural Poverty Vulnerability from an Income Source Perspective: A Study Based on CHIPS2013 and County-Level Temperature Data in China," IJERPH, MDPI, vol. 19(6), pages 1-22, March.

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