DR. ARSHAD HUSSAIN BHAT
Assistant Professor
Amity University Mumbai
0000-0002-9689-2351
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Dr. Arshad Hussain Bhat is working as Assistant Professor (Economics) at Amity Institute of Liberal Arts, Amity University Mumbai. Prior to this Dr. Arshad has served Higher Education Department, Jammu and Kashmir in the capacity of Lecturer for two years and Rajiv Gandhi Chair in Contemporary Studies on Livelihood and Food Security, Sher-Kashmir University of Agricultural Sciences and Technology of Kashmir under different capacities for 7 years. Dr. Arshad has done his Maters, M. Phil and Ph. D from the Department of Economics, University of Kashmir, Srinagar, and Post-Docs. from Central University of Kashmir, Srinagar and SKUAST-Kashmir. Dr. Arshad has 106 research publications (both National and International) among these are 38 Scopus indexed publications of reputed publishers like Springer, Taylor and Francis, Wiley, Sage, Elsevier etc. to his credit and has also published 62 book chapters (both National and International) and 8 books (National and International). Dr. Arshad has received three prestigious fellowships from State and National Level organisations. Dr. Arshad has participated in more than 150 workshops/refresher/orientation courses. He has presented 74 papers in different National/International conferences and seminars.
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https://doi.org/10.64823/ijebm.2601001
In Maharashtra, India, for the past 20 years, the state of Maharashtra has seen a large number of farmers committing suicide, as this leads to a large number of deaths of people who are working on farms. This study identifies multiple variables that cause this situation to happen and what are the reasons for farmers from Maharashtra, India to commit suicide. This study also focuses on a number of socio-economic, environmental, and psychological aspects of the reasons that cause farmers to commit suicide. An analysis of the data collected was conducted from a random sample of 161 farmer families, and the data collected by the Office of the Divisional Commissioner and other departments of the state of Maharashtra. The data collection process consisted of face-to-face interviews and a structured, pre-tested interview schedule. The authors of this research used the Suicidal Tendency Model, as well as performed a dummy variable regression analysis, in order to evaluate how the above-mentioned factors and variables affect farmers' suicidal tendencies. Research indicates that agrarian distress, joblessness, and inadequate government assistance are the most important predictors of farmer suicides. A complete model was created to better understand these predictors and how they relate to one another, which can explain 76.4% (R² = 0.764) of the variance observed in farmer suicide rates. The results support a strong statistical validity (F = 7.215, p < 0.001) of the findings. Additionally, the results indicate that a multi-faceted approach to addressing the issue of farmer suicide is necessary, such as creating more beneficial economic policies, increased mental health support for farmers, developing stronger safety nets for families and communities, as well as implementing targeted programs and solutions to address the agrarian crisis. Additionally, the data collected in this research indicate that if farmers were able to manage their finances appropriately, they would have more supports available to them and be more successful in their farming careers.