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Farmers' resilience index: A tool to metricize the resilience of the farmers towards natural disasters affecting agriculture in India
In the present paper farmers' resilience index (FRI) was constructed considering the natural disaster using five dimensions including physical, social, economic, human and natural. The scale is administered to the 240 paddy farmers in two coastal districts of Andhra Pradesh. Principal component analysis was performed in order to fix the weightage for each variable. About (39.58%) of farmers are resilient to natural disasters with the highest resilience score for financial capital (0.641) and natural capital with less resilience score (0.401). Confirmatory factor analysis (CFA) was performed to determine how well the generated model of the scale fits the data. The structural equation modelling (SEM) path diagram was developed based on the conceptual model, which uses resilience as a latent variable. The SEM analysis revealed that four dimensions of capital positively affect farmers' resilience except for the human capital which negatively affects resilience. To reduce the effects of natural catastrophes in the upcoming years, the adaptation strategies from the highly resilient places can be examined and put into practice in the less resilient areas. It is imperative that development programmes at all levels incorporate climate awareness and stakeholder capacity building. HIGHLIGHTS Farmers Resilience Index constructed using five livelihood dimensions.; Majority of the farmers are resilient to the natural disasters.; Economic capital has been perceived as important capital contributing to the resilience of farmers.; Structural equational model analysis revealed resilience of the farmers showed a significant positive association with four (physical, social, financial and natural) capitals except human capital which shows negative significant association with the resilience.;
Farmers' resilience index: A tool to metricize the resilience of the farmers towards natural disasters affecting agriculture in India
In the present paper farmers' resilience index (FRI) was constructed considering the natural disaster using five dimensions including physical, social, economic, human and natural. The scale is administered to the 240 paddy farmers in two coastal districts of Andhra Pradesh. Principal component analysis was performed in order to fix the weightage for each variable. About (39.58%) of farmers are resilient to natural disasters with the highest resilience score for financial capital (0.641) and natural capital with less resilience score (0.401). Confirmatory factor analysis (CFA) was performed to determine how well the generated model of the scale fits the data. The structural equation modelling (SEM) path diagram was developed based on the conceptual model, which uses resilience as a latent variable. The SEM analysis revealed that four dimensions of capital positively affect farmers' resilience except for the human capital which negatively affects resilience. To reduce the effects of natural catastrophes in the upcoming years, the adaptation strategies from the highly resilient places can be examined and put into practice in the less resilient areas. It is imperative that development programmes at all levels incorporate climate awareness and stakeholder capacity building. HIGHLIGHTS Farmers Resilience Index constructed using five livelihood dimensions.; Majority of the farmers are resilient to the natural disasters.; Economic capital has been perceived as important capital contributing to the resilience of farmers.; Structural equational model analysis revealed resilience of the farmers showed a significant positive association with four (physical, social, financial and natural) capitals except human capital which shows negative significant association with the resilience.;
Farmers' resilience index: A tool to metricize the resilience of the farmers towards natural disasters affecting agriculture in India
Sandipamu Raahalya (author) / P. Balasubramaniam (author) / M. Nirmala Devi (author) / N. Maragatham (author) / R. Gangai Selvi (author)
2024
Article (Journal)
Electronic Resource
Unknown
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