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Socioeconomic Backwardness Increases Vulnerability to Climate Change: Evidence from Uttar Pradesh

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  • Amarnath Tripathi

    (Institute of Economic Growth, Delhi)

Abstract

This study tries to assess the vulnerability to climate change of farmers in Uttar Pradesh (UP), a state in India. The study chose UP for its importance in India's food and nutrition security programme and its high sensitivity to climate change. It uses 17 environmental and socioeconomic factors to see which districts of UP are the most vulnerable to climate change, and attempts to identify the factors on a set of explanatory variables. The study finds that infrastructurally and economically developed districts are less vulnerable to climate change; in other words, vulnerability to climate change and variability is linked with social and economic development. This observation is corroborated by the findings of relational analysis. In relational analysis, livestock, forestry, consumption of fertiliser, per capita income, and infant mortality rate are observed to be important correlates of farmers' vulnerability to climate change; these should be focussed on to reduce farmers' climate change vulneraiblity. Also, farmers' awareness and adaptive capacity to climate change needs to be strengthened, for which policy options such as crop insurance and early warning systems would help.

Suggested Citation

  • Amarnath Tripathi, 2014. "Socioeconomic Backwardness Increases Vulnerability to Climate Change: Evidence from Uttar Pradesh," IEG Working Papers 337, Institute of Economic Growth.
  • Handle: RePEc:awe:wpaper:337
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    References listed on IDEAS

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    1. Glwadys A. Gbetibouo & Claudia Ringler & Rashid Hassan, 2010. "Vulnerability of the South African farming sector to climate change and variability: An indicator approach," Natural Resources Forum, Blackwell Publishing, vol. 34(3), pages 175-187, August.
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    3. Hiremath, Deepa B. & Shiyani, R.L., 2012. "Evaluating Regional Vulnerability to Climate Change: A Case of Saurashtra," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 67(3), pages 1-11.
    4. Mendelsohn, Robert & Dinar, Ariel & Williams, Larry, 2006. "The distributional impact of climate change on rich and poor countries," Environment and Development Economics, Cambridge University Press, vol. 11(2), pages 159-178, April.
    5. Glwadys A. Gbetibouo & Claudia Ringler & Rashid Hassan, 2010. "Vulnerability of the South African farming sector to climate change and variability: An indicator approach," Natural Resources Forum, Blackwell Publishing, vol. 34, pages 175-187, August.
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