Evaluating the Impact of Institutional, Non‑Institutional & Media on Public Awareness of PMFBY : Evidence from Indian States Using Regression Analysis
Department of Public Policy and Administration, School of Liberal Studies (SLS), Pandit Deendayal Energy University (PDEU), Gandhinagar, Gujarat 382426, India
Department of Public Administration, Central University of Karnataka School of Social and Behavioural Sciences, Kalaburagi, Karnataka 585367, India
Pradeep Malik
Department of Media and Communication, School of Liberal Studies (SLS), Pandit Deendayal Energy University (PDEU), Gandhinagar, Gujarat 382426, India
Department of Economics, School of Liberal Studies (SLS), Pandit Deendayal Energy University (PDEU), Gandhinagar, Gujarat 382426, India
DOI: https://doi.org/10.36956/rwae.v6i2.1673
Received: 7 January 2025 | Revised: 14 February 2025 | Accepted: 10 March 2025 | Published Online: 13 June 2025
Copyright © 2025 Venkat Ram Reddy Minampati, Alok Kumar Gaurav, Pradeep Malik, Saumya Jhaveri. Published by Nan Yang Academy of Sciences Pte. Ltd.
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
Abstract
India’s Agriculture and Allied Sector (A&AS) has undergone significant transformation, achieving a record food grain production of 329.7 million tonnes in 2022–23, driven by modernization and policy reforms. Despite this progress, the sector remains vulnerable to climate change due to its reliance on rainfall. To enhance resilience, the Government of India (GoI) has introduced various measures, including the Pradhan Mantri Fasal Bima Yojana (PMFBY), launched in 2016. As a flagship scheme, PMFBY provides affordable crop insurance with premium rates as low as 2% for Kharif crops, aiming to stabilize farmer incomes and foster resilience. This study examines public awareness (PA) of PMFBY, focusing on the role of institutional, non-institutional, and media channels in disseminating information about the scheme. Using a quantitative research design, the study evaluates PA across socio-economic strata in four states, with detailed insights from Kerala and Rajasthan. Descriptive statistics, including mean value and point scoring approaches, assess farmers’ perceptions of PA. Inferential analysis employs Pearson Rank Correlation, Regression, and Kruskal-Wallis H Test to understand the relationships between PA and key predictors. The findings reveal that media and institutional outreach significantly impact PA, with media showing the strongest influence, while non-institutional sources contribute minimally. Younger, female, OBC, and SC respondents exhibit higher awareness levels, highlighting demographic disparities. These results underscore the need for targeted interventions, improved digital outreach, and tailored communication strategies to enhance the efficacy of PMFBY and ensure inclusive agricultural resilience.
Keywords: Awareness; Institutional Support; PMFBY Scheme; Agriculture Resilience; Farmers; Pearson Correla‑ tion; Regression Analysis; Quantitative Method; Risk Management; Crop Insurance; Kruskal‑Wallis; Descriptive Statistics; Public Policy; Governance
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