Skip to content
Research Article Open access CC BY 4.0

Does Insurance Knowledge and Loss Experience Influence the Adoption of Pradhan Mantri Fasal Bima Yojana? Insights from Cotton Farmers in Tamil Nadu, India

Reddyprasanna Diyyala, N Venkatesa Palanichamy, M Kalpana, D Murugananthi, V Geethalakshmi, M Rajavel

Journal of Experimental Agriculture International · pp. 188–199 · Published 3 Oct 2024

10.9734/jeai/2024/v46i102937

Abstract

This study investigates the factors influencing the adoption of crop insurance among cotton farmers and identifies the constraints faced by insured farmers in the Virudhunagar district of Tamil Nadu, India. Using a sample of 350 cotton farmers, the study explores how socio-economic factors, insurance knowledge, and past yield loss experiences impact farmers' decisions to adopt crop insurance. A probit model is employed to analyse the data, revealing that insurance knowledge and past yield loss experiences significantly affect insurance adoption. The study also identifies key constraints faced by insured farmers, such as delays in claim payments and no compensation even during crop failures. Additionally, the research assesses the various risk management strategies employed by farmers, stressing a predominant reliance on informal support systems and asset-based solutions. This highlights the need for enhanced insurance awareness and improved insurance schemes to better support farmers in managing agricultural risks. Additionally, these findings emphasize the importance of utilizing technology to streamline claim settlements, thereby ensuring timely payments and enhancing transparency in the process.

Crop insurance insurance knowledge risk management yield loss

Cited by 1

1 citation reported by external sources — individual citing-article records aren't available to list yet.

Article metrics

Real usage data collected on this platform.

18

Page views

0

PDF downloads

2

Outbound clicks

1

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.