Tribal livelihood vulnerability due to climate change: a study across tribes of Paschim Medinipur district of West Bengal

Sourav Kumar Das () and Jyotish Prakash Basu ()
Additional contact information
Sourav Kumar Das: Lalbaba College
Jyotish Prakash Basu: West Bengal State University

SN Business & Economics, 2022, vol. 2, issue 8, 1-23

Abstract: Abstract The paper attempts to measure climate change livelihood vulnerability of different tribal communities say Santal, Munda, Bhumij and Lodha in West Bengal, India by formulating livelihood vulnerability index and is to identify its determinants. The study is based on primary data collected from 200 tribal households in Paschim Medinipur district of West Bengal, India in 2018. The study has utilized beta regression model to identify the determinants of livelihood vulnerability. Results of the study showed that livelihood vulnerability index of Lodha tribal community is 0.318 and it is highest compared to that of Santal, Munda and Bhumij tribal communities. This shows that Lodha tribal community is more vulnerable compared to other tribal communities. The determinants of livelihood vulnerability of tribal community are the family size, poverty, income from agriculture and distance from residence to market. The paper suggests different policy interventions that help to reduce tribal vulnerability through socio-economic development of the local tribal communities who are involved in forest protection and management and provision for better health infrastructure, educational facilities and food security to such communities.

Keywords: Forest dependency; Livelihood vulnerability index; Social security; Health index; Beta regression model (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s43546-022-00277-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:snbeco:v:2:y:2022:i:8:d:10.1007_s43546-022-00277-4

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/43546

DOI: 10.1007/s43546-022-00277-4

Access Statistics for this article

SN Business & Economics is currently edited by Gino D'Oca

More articles in SN Business & Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().