Determinants of Farm Household Socio-Economic Vulnerability Induced by Climate Change in Maharashtra: Regression Tree Approach
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Author: Chaitanya Ashok Adhav, Sendhil R and Gunjan Bhandari
Author Address: Division of Dairy Economics, Statistics and Management, ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana 132 001; Department of Economics, School of Management, Pondicherry University (A Central University) Kalapet, Puducherry-605 014
Keywords: Regression tree, SeVI, socio-economic vulnerability index, vulnerability.
JEL Codes: N55, O10, O15, Q10, Q11.
Abstract
Climate change is a serious threat to the agrarian economy of Maharashtra due to persistent droughts, floods, irregular rainfall, etc. The present study was conducted during 2020–21 in three districts of Maharashtra (Parbhani, Sindhudurg and Ahmednagar) based on the extent of socio-economic vulnerability. The regression tree approach predicted the likelihood of socio-economic vulnerability in 180 randomly selected farm households. Findings indicated that improvement in visits of veterinary doctors, animals registered for feed camp, less consumption expenditure on food, and insuring farm animals resulted in a low vulnerability category. On the contrary, low access to electricity, low rainfall, and a higher number of unemployed members in a household resulted in a high level of socio-economic vulnerability. The study suggested focused policy efforts to improve the current socio-economic status of farm households by understanding the importance of closely associated variables affecting the degree of vulnerability to cope with climate change.
Description
Indian Journal of Economics and Development
Volume 19 No. 2, 2023, 272-279
DOI: https://doi.org/10.35716/IJED-21249
NAAS Score: 5.15 (2023)
Indexed in SCOPUS and ESCI (Clarivate Analytics)
Journal Citation Indicator: 0.04 (WoS)
UGC Approved