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Vulnerability Assessment of Forest Fringe Villages of Madhya Pradesh, India for Planning Adaptation Strategies

Author

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  • Ram Nayan Yadava

    (FPM in Ecosystem and Environment Management, Indian Institute of Forest Management, Bhopal 462003, India)

  • Bhaskar Sinha

    (Chairperson, Centre for Climate Change Studies & Faculty in Ecosystem and Environment Management, Indian Institute of Forest Management, Bhopal 462003, India)

Abstract

This study aims to assess the climate change vulnerability of forest fringe villages of Madhya Pradesh, India, and to identify the major drivers of vulnerability, which could help to develop effective adaptation strategies. A total of 325 households spread in 29 villages of Hoshangabad, and Mandla districts were chosen for primary data collection during the summer of 2015. The selection of villages and households was carried out through stratified random sampling and systematic random sampling, respectively. The vulnerability index (score) was developed and analyzed with respect to the different socioeconomic parameters. The analysis revealed that it is not the social class of a household but the economic condition, level of education, and type of occupation/livelihood of the members of a household that are significant factors influencing the vulnerability of a household. Such findings suggest that government programs need to be designed to address the welfare of all social classes in the forest fringe villages. The study has significance in terms of providing a framework for prioritizing target households for different programs related to vulnerability reduction in the forest fringe areas.

Suggested Citation

  • Ram Nayan Yadava & Bhaskar Sinha, 2020. "Vulnerability Assessment of Forest Fringe Villages of Madhya Pradesh, India for Planning Adaptation Strategies," Sustainability, MDPI, vol. 12(3), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:3:p:1253-:d:318527
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    References listed on IDEAS

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    1. Ram Nayan Yadava & Bhaskar Sinha, 2016. "Scoring Sustainability Reports Using GRI 2011 Guidelines for Assessing Environmental, Economic, and Social Dimensions of Leading Public and Private Indian Companies," Journal of Business Ethics, Springer, vol. 138(3), pages 549-558, October.
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    3. Wenqiang Ding & Saheed Olaide Jimoh & Yulu Hou & Xiangyang Hou & Weiguo Zhang, 2018. "Influence of Livelihood Capitals on Livelihood Strategies of Herdsmen in Inner Mongolia, China," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    4. Elizabeth Kopits & Alex Marten & Ann Wolverton, 2014. "Incorporating 'catastrophic' climate change into policy analysis," Climate Policy, Taylor & Francis Journals, vol. 14(5), pages 637-664, September.
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    6. Kapur Mehta, Aasha & Shah, Amita, 2003. "Chronic Poverty in India: Incidence, Causes and Policies," World Development, Elsevier, vol. 31(3), pages 491-511, March.
    7. Mishra, Vimal & Shah, Reepal & Garg, Amit, 2016. "Climate Change in Madhya Pradesh: Indicators, Impacts and Adaptation," IIMA Working Papers WP2016-05-05, Indian Institute of Management Ahmedabad, Research and Publication Department.
    8. Rajiv Pandey & ShashidharKumar Jha, 2012. "Climate vulnerability index - measure of climate change vulnerability to communities: a case of rural Lower Himalaya, India," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(5), pages 487-506, June.
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    Cited by:

    1. Jiuhan Tang & Kangning Xiong & Yue Chen & Qi Wang & Bin Ying & Jiayi Zhou, 2022. "A Review of Village Ecosystem Vulnerability and Resilience: Implications for the Rocky Desertification Control," IJERPH, MDPI, vol. 19(11), pages 1-17, May.
    2. Rinku Moni Devi & Maneesh Kumar Patasaraiya & Bhaskar Sinha & Jigyasa Bisaria, 2023. "Major drivers for reducing vulnerability of forest-fringe communities in Kanha Tiger Reserve, Madhya Pradesh and designing suitable adaptation strategies," Asia-Pacific Journal of Regional Science, Springer, vol. 7(2), pages 569-590, June.

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