Spatiotemporal Pattern of Vulnerability to Climate Change in Madhya Pradesh, India

Climate change and its associated impacts are more severely felt in Madhya Pradesh than in other Indian states, mainly because of acute poverty and social vulnerability in the state. This paper attempts to assess inter-spatial and inter-temporal vulnerability to climate change using a Climate Vulner...

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Published inApplied spatial analysis and policy Vol. 17; no. 1; pp. 55 - 85
Main Authors George, Alinda, Sharma, Pritee, Pradhan, Kalandi Charan
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.03.2024
Springer Nature B.V
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Abstract Climate change and its associated impacts are more severely felt in Madhya Pradesh than in other Indian states, mainly because of acute poverty and social vulnerability in the state. This paper attempts to assess inter-spatial and inter-temporal vulnerability to climate change using a Climate Vulnerability Index, an aggregate of the Climate Index and the Composite Social Vulnerability Index. The Climate Index represents the exposure to climate change, and the social vulnerability represented by the Composite Social Vulnerability Index consists of two subindices: Socioeconomic Vulnerability Index and Infrastructural Vulnerability Index. The indices are computed using Principal Component Analysis for three rounds of census data (1991, 2001, and 2011). The study found a significant decrease in composite social vulnerability and subindices over the decades. At the same time, the Climate Index shows a significant increase over the decades, leading to a nonsignificant increase in climate vulnerability in the recent decade. The study advocates for targeted interventions to reduce social vulnerability further to cope with the increasing exposure to climate change; hence, overall vulnerability can be reduced. Targeted interventions for livelihood diversification, education, inclusive growth, and infrastructural facilities in tribal-dominated districts will be crucial, given the likelihood of climatic variation in the future.
AbstractList Climate change and its associated impacts are more severely felt in Madhya Pradesh than in other Indian states, mainly because of acute poverty and social vulnerability in the state. This paper attempts to assess inter-spatial and inter-temporal vulnerability to climate change using a Climate Vulnerability Index, an aggregate of the Climate Index and the Composite Social Vulnerability Index. The Climate Index represents the exposure to climate change, and the social vulnerability represented by the Composite Social Vulnerability Index consists of two subindices: Socioeconomic Vulnerability Index and Infrastructural Vulnerability Index. The indices are computed using Principal Component Analysis for three rounds of census data (1991, 2001, and 2011). The study found a significant decrease in composite social vulnerability and subindices over the decades. At the same time, the Climate Index shows a significant increase over the decades, leading to a nonsignificant increase in climate vulnerability in the recent decade. The study advocates for targeted interventions to reduce social vulnerability further to cope with the increasing exposure to climate change; hence, overall vulnerability can be reduced. Targeted interventions for livelihood diversification, education, inclusive growth, and infrastructural facilities in tribal-dominated districts will be crucial, given the likelihood of climatic variation in the future.
Climate change and its associated impacts are more severely felt in Madhya Pradesh than in other Indian states, mainly because of acute poverty and social vulnerability in the state. This paper attempts to assess inter-spatial and inter-temporal vulnerability to climate change using a Climate Vulnerability Index, an aggregate of the Climate Index and the Composite Social Vulnerability Index. The Climate Index represents the exposure to climate change, and the social vulnerability represented by the Composite Social Vulnerability Index consists of two subindices: Socioeconomic Vulnerability Index and Infrastructural Vulnerability Index. The indices are computed using Principal Component Analysis for three rounds of census data (1991, 2001, and 2011). The study found a significant decrease in composite social vulnerability and subindices over the decades. At the same time, the Climate Index shows a significant increase over the decades, leading to a nonsignificant increase in climate vulnerability in the recent decade. The study advocates for targeted interventions to reduce social vulnerability further to cope with the increasing exposure to climate change; hence, overall vulnerability can be reduced. Targeted interventions for livelihood diversification, education, inclusive growth, and infrastructural facilities in tribal-dominated districts will be crucial, given the likelihood of climatic variation in the future.
Author George, Alinda
Pradhan, Kalandi Charan
Sharma, Pritee
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Snippet Climate change and its associated impacts are more severely felt in Madhya Pradesh than in other Indian states, mainly because of acute poverty and social...
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SubjectTerms Censuses
Climate change
Human Geography
Indexes
Intervention
Landscape/Regional and Urban Planning
Poverty
Principal components analysis
Regional/Spatial Science
Social Sciences
Title Spatiotemporal Pattern of Vulnerability to Climate Change in Madhya Pradesh, India
URI https://link.springer.com/article/10.1007/s12061-023-09535-w
https://www.proquest.com/docview/2926604546
Volume 17
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