The IUP Journal of Applied Economics
Does Sustainable Livelihood Security Have a Relationship with Climatic and Geographical Factors? Evidence from a State-Wise Panel Data Investigation in India

Article Details
Pub. Date : Jan, 2022
Product Name : The IUP Journal of Applied Economics
Product Type : Article
Product Code : IJAE10122
Author Name : Ajay K Singh*, Sanjeev Kumar** and Bhim Jyoti***
Availability : YES
Subject/Domain : Economics
Download Format : PDF Format
No. of Pages : 29



This study develops a state-wise Sustainable Livelihood Security Index (SLSI) by combining the Economic Efficiency Index (EEI), Social Equity Index (SEI), and Ecological Security Index (ESI) during 2000-2018. Thereafter, it examines the impact of climatic and geographical factors on Sustainable Livelihood Security (SLS). Principal Component Analysis (PCA) technique, linear, log-linear, and nonlinear regression models are used for the aforesaid investigations. The descriptive results reveal that India's SLS increases with economic efficiency, social equity, and ecological security. There is high diversity in SLS across the Indian states due to variations in climate change and economic efficiency, social equity, and ecological security associated variables. It also finds that minimum temperature, precipitation, rainfall, and latitudinal location of the respective states have a negative relation with SLSI. Based on the empirical results, it is suggested to focus on the indicators that have a positive association with SLS. Moreover, there is a need to implement effective policies to eliminate the impact of climate change on SLS in India.


Climate change has several negative implications on the livelihood security of farming and non-farming community across the globe (Kumar et al., 2016; and Adu et al., 2017). Agricultural production activities, which are the primary source of livelihood, depend upon climatic and geographical location (Kumar et al., 2016; and Singh and Issac, 2018) and appropriate climatic conditions (Kumar et al., 2017). Maximum temperature, minimum