Farmers’ Distress Index: An Approach for an Action Plan to Reduce Vulnerability in the Drylands of India
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Título: | Farmers’ Distress Index: An Approach for an Action Plan to Reduce Vulnerability in the Drylands of India |
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Autor/es: | Reddy, A. Amarender | Bhattacharya, Anindita | Reddy, S. Venku | Ricart, Sandra |
Grupo/s de investigación o GITE: | Agua y Territorio |
Centro, Departamento o Servicio: | Universidad de Alicante. Instituto Interuniversitario de Geografía |
Palabras clave: | Distress indicators | Agrarian risks | Resilience measure | Distress management | India | Intervention |
Área/s de conocimiento: | Análisis Geográfico Regional |
Fecha de publicación: | 12-nov-2021 |
Editor: | MDPI |
Cita bibliográfica: | Reddy AA, Bhattacharya A, Reddy SV, Ricart S. Farmers’ Distress Index: An Approach for an Action Plan to Reduce Vulnerability in the Drylands of India. Land. 2021; 10(11):1236. https://doi.org/10.3390/land10111236 |
Resumen: | 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. |
URI: | http://hdl.handle.net/10045/120051 |
ISSN: | 2073-445X |
DOI: | 10.3390/land10111236 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.3390/land10111236 |
Aparece en las colecciones: | INV - Agua y Territorio - Artículos de Revistas |
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