Are Multidimensional Poor more Vulnerable to Climate change? Evidence from Rural Bihar, India

Manjisha Sinha (), R. Sendhil (), B. S. Chandel (), Ravinder Malhotra (), Ajmer Singh (), Sujeet Kumar Jha () and Gopal Sankhala ()
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Manjisha Sinha: ICAR- National Dairy Research Institute
R. Sendhil: ICAR-Indian Institute of Wheat and Barley Research
B. S. Chandel: ICAR- National Dairy Research Institute
Ravinder Malhotra: ICAR- National Dairy Research Institute
Ajmer Singh: ICAR- National Dairy Research Institute
Sujeet Kumar Jha: ICAR-National Dairy Research Institute
Gopal Sankhala: ICAR-National Dairy Research Institute
Authors registered in the RePEc Author Service: Sendhil Ramadas

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2022, vol. 162, issue 1, No 5, 123-149

Abstract: Abstract Does deprivation of assets imply an increased likelihood of vulnerability to climate change? Our study attempts to answer this question by analyzing the multidimensional poverty in rural Bihar, followed by deciphering the link between the developed poverty index and vulnerability of agriculture to climate change. Vulnerability index used in the present study was developed under the National Initiative on Climate Resilient Agriculture (NICRA) by the Government of India. As most people in rural areas and those dependent on rural based livelihood activities (such as agriculture, forestry and livestock) are more vulnerable to vagaries of weather, related attributes (i.e. land ownership, livestock ownership as well as access to agriculture equipments) are included in our analysis. We found that the extent of multidimensional poverty in rural Bihar was 0.278 indicating that rural poor were deprived in 27.8 percent of the total potential deprivations that they could experience overall. It varied from 0.19 to 0.39 across districts. The findings highlight that a majority of the population were deprived in living standard dimension, followed by health and education dimensions. Further, the districts where the multidimensional poverty was high were also more vulnerable to climate change. The study advocates for formulation of district specific programs that can target major contributing factors resulting in reducing the extent of multidimensional poverty and vulnerability.

Keywords: Multidimensional poverty; Agricultural vulnerability index; Climate change; Dimensions; Bihar; India (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11205-021-02827-z

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