Linking Food Security with Household’s Adaptive Capacity and Drought Risk: Implications for Sustainable Rural Development
In spite of green revolution and rapid economic growth, India’s vast population still suffers from hunger and poverty, especially in the rural areas. Moreover, drought adversely affects India’s economy by declining agricultural production and purchasing power. It also escalates rural unemployment which ultimately affects household food security. Our study investigated the food security of drought prone rural households in a broader context by linking the dimensions of food security with dimensions of climate change vulnerability. We used the primary data of 157 drought prone rural households of Odisha state in India for analysis. This study employed polychoric principal component analysis to construct an aggregate food security index. An ordered probit model was used to estimate the determinants of food security. The FSI showed that three-fourth of the respondents were facing food security issues with varying degrees. The estimates of ordered probit model indicated that joint family, education, migration and health insurance are key variables that determine food security, whereas drought adversely affected food security of rural households. Overarching strategies are required to effectively address food security issues in the wake of increased drought risk. This study provides an insight for policy makers in India and in similar south Asian countries who must consider food security in the light of drought.
KeywordsAvailability Access Exposure Sensitivity Stability Utility Vulnerability
We would like to thank the German Academic Exchange Service (DAAD) for financial support for this research. We would also like to thank Stiftung Fiat Panis for their financial support during data collection. We are also grateful to Nagesh Barik of CIFA, Odisha for the help and support provided during data collection. We honour the contribution of people in the research site for their responses and support during the data collection. We are also very grateful to the reviewers who provided invaluable comments and suggestions.
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