Sandipamu Raahalya, P. Balasubramaniam, M. N. Devi, N. Maragatham, R. Selvi
{"title":"Farmers' resilience index: a tool to metricize the resilience of the farmers towards natural disasters affecting agriculture in India","authors":"Sandipamu Raahalya, P. Balasubramaniam, M. N. Devi, N. Maragatham, R. Selvi","doi":"10.2166/wp.2023.152","DOIUrl":null,"url":null,"abstract":"\n 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) 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.","PeriodicalId":49370,"journal":{"name":"Water Policy","volume":"7 13","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Policy","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.2166/wp.2023.152","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0
Abstract
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) 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.
期刊介绍:
Water Policy will publish reviews, research papers and progress reports in, among others, the following areas: financial, diplomatic, organizational, legal, administrative and research; organized by country, region or river basin. Water Policy also publishes reviews of books and grey literature.