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Socioeconomic backwardness and vulnerability to climate change: evidence from Uttar Pradesh state in India

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  • Amarnath Tripathi

Abstract

This study tests the thesis that ‘vulnerability to climate change is not only a result of biophysical events alone but also influenced by the socioeconomic conditions in which climate change occurs’. The study chose Uttar Pradesh (UP), a state in India, for its importance in the nation's food and nutrition security programme and its high sensitivity to climate change. It uses an indicator approach 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 wherein livestock, forestry, consumption of fertilizer, per capita income, and infant mortality rate are observed to be important correlates of vulnerability to climate change.

Suggested Citation

  • Amarnath Tripathi, 2017. "Socioeconomic backwardness and vulnerability to climate change: evidence from Uttar Pradesh state in India," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 60(2), pages 328-350, February.
    • Handle: RePEc:taf:jenpmg:v:60:y:2017:i:2:p:328-350
    DOI: 10.1080/09640568.2016.1157059
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    References listed on IDEAS

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    1. Frank Ellis, 2000. "The Determinants of Rural Livelihood Diversification in Developing Countries," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(2), pages 289-302, May.
    2. Ellis, Frank, 2000. "Rural Livelihoods and Diversity in Developing Countries," OUP Catalogue, Oxford University Press, number 9780198296966.
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    1. Aadil Hameed Shah & Atta Ullah Khan & Liurong Pan & Asad Amin & Abbas Ali Chandio, 2022. "Reflections of Pro-Poor Growth across Agro-Climatic Zones for Farming and Non-Farming Communities: Evidence from Punjab, Pakistan," IJERPH, MDPI, vol. 19(9), pages 1-16, May.
    2. Gazi Tamiz Uddin & Mahbuba Akther Mishu & Md Tuhinul Hasan & Debarshi Choudhury, 2022. "Crop production amid climate change and river water level fluctuation at northeastern region of Bangladesh: A time series analysis," International Journal of Agricultural Research, Innovation and Technology (IJARIT), IJARIT Research Foundation, vol. 12(2), December.
    3. Niranjan Padhan & S Madheswaran, 2023. "An integrated assessment of vulnerability to floods in coastal Odisha: a district-level analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(3), pages 2351-2382, February.

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