Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/273430 
Year of Publication: 
2021
Citation: 
[Journal:] Land [ISSN:] 2073-445X [Volume:] 10 [Issue:] 11 [Article No.:] 1236 [Publisher:] MDPI AG [Place:] Basel [Year:] 2021 [Pages:] --
Publisher: 
MDPI AG, Basel
Abstract: 
Farmer distress is a widely recognized problem in India induced by multiple causes ranging from climate variability to price volatility and the low risk-bearing ability of farmers. Tracking farmers’ distress in a localized context is a prerequisite for timely action to provide sustainable livelihood options. Therefore, a field survey was conducted with 640 dryland farmers of 10 sub-district units from two states in India with the aim to identify the major indicators based on seven dimensions of distress and to construct a multidimensional Farmers’ Distress Index (FDI) at the farmer and sub-district levels. The FDI was built with seven dimensions of distress: exposure to risk, adaptive capacity, sensitivity, mitigation and adaptation strategies, triggers, psychological factors, and impacts. The study developed a broad-based FDI which can be used as a planning tool that can address the causes of farmers’ distress and also evolve measures to tackle those causes. Based on the result, the study recommends a location-specific distress management package based on various dimensions of the FDI. The paper also suggests an upscaling strategy to identify and prioritize the highly distressed farmers as well as sub-district geographical units by tracking a few sets of variables.
Subjects: 
distress indicators
farmers
risk
income shoks
JEL: 
Q14
Q15
Q18
Q17
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version
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