Skip to main content
Log in

The Indian Crop Insurance Puzzle: A Discourse from Behavioral Science Perspective

  • News/Views and Comments
  • Published:
National Academy Science Letters Aims and scope Submit manuscript

Abstract

Crop insurance is an important policy instrument to shield farmers from risks in farming and it is even more important in the present context, when the climate change led crop losses are on the rise. Unfortunately, only 28% of the gross cropped area in India is under insurance coverage despite of highly subsidized insurance package under the flagship program of Pradhan Mantri Fasal Bima Yojana . In this paper, we examine few behavioral insights which explain the low adoption of insurance product. We also discuss few behaviorally smart policies options to increase the adoption of crop insurance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

(Data source: https://pmfby.gov.in)

References

  1. Čolović V, Petrović NM (2014) Crop insurance-risks and models of insurance. Econ Agric 61:561–573

    Google Scholar 

  2. Birthal PS, Hazrana J (2019) Crop diversification and resilience of agriculture to climatic shocks: evidence from India. AgricSyst 173:345–354

    Google Scholar 

  3. Birthal PS, Hazrana J, Negi DS (2019) A multilevel analysis of drought risk in Indian agriculture: implications for managing risk at different geographical levels. Clim Change 157:499–513

    Article  ADS  Google Scholar 

  4. Boyd M, Pai J, Zhang Q, Holly H, Wang K (2011) Factors affecting crop insurance purchases in China: the Inner Mongolia region. China Agric Econ Rev 3:441–450

    Article  Google Scholar 

  5. Gine X, Menand L, Townsend R, Vickery J (2010). Microinsurance: a case study of the Indian rainfall index insurance market (report No. 5459). The World Bank, Washington D.C., USA.

  6. PMFBY portal (2020). State wise Business Statistics, Accessible at https://pmfby.gov.in/stateWiseDataPage

  7. Misra P (2020). Crop insurance: Rising costs force states to quit PM Modi’s flagship scheme, Financial Express, Aug5, 2020.

  8. Government of India (2020) Revised Operational Guidelines of PMFBY. Ministry of Agriculture and Farmers’ Welfare, Department of Agriculture, Cooperation & Farmers Welfare, New Delhi.

  9. Keith C, Barry B (2012) Why do we subsidize crop insurance? Am J Agric Econ 95:498–504

    Google Scholar 

  10. Lu L (2014). Federal Crop Insurance and credit constraints: theory and evidence. In: Selected paper prepared for presentation at the Agricultural & Applied Economics Association’s 2014 AAEA annual meeting, Minneapolis, MN, July 27–29, 2014.

  11. Aditya KS, Khan MdT, Kishore A (2018) Adoption of crop insurance and impact: insights from India. Agric Econ Res Rev 31:163–174

    Article  Google Scholar 

  12. Kim Y, Yu J, Pendell DL (2019) Effects of crop insurance on farm disinvestment and exit decisions. Eur Rev Agric Econ 47(1):324–347

    Google Scholar 

  13. Santeramo FG, Goodwin BK, Adinolfi F, Capitanio F (2016) Farmer participation, entry and exit decisions in the Italian crop insurance programme. J Agril Econ 67(3):639–657

    Article  Google Scholar 

  14. Syed A, Ali A, Kurian N (1982) Toward a theory of agricultural insurance. Am J Agric Econ 64(3):520–529

    Google Scholar 

  15. Ralph H, Pleskac JT, Pachur T (2019) Taming uncertainty. MIT Press, Cambridge

    Google Scholar 

  16. Braun M, Muermann A (2004) The impact of regret on the demand for insurance. J Risk Insur 71:737–767

    Article  Google Scholar 

  17. Dellavalle N, Sareen S (2020) Nudging and boosting for equity? Towards a behavioural economics of energy justice. Energy Res Soc 68:101589

    Article  Google Scholar 

  18. Meder B, Fleischhut N, Osman M (2018) Beyond the confines of choice architecture: a critical analysis. J Econ Psychol 68:36–44

    Article  Google Scholar 

  19. Shepherd L, O’Carroll RE, Ferguson E (2014) An international comparison of deceased and living organ donation/transplant rates in opt-in and opt-out systems: a panel study. BMC Med 12:131

    Article  Google Scholar 

  20. Thaler RH, Sunstein CR (2009) Nudge: Improving decisions about health, wealth, and happiness. Penguin, New York

    Google Scholar 

  21. Hertwig R, Grüne-Yanoff T (2017) Nudging and boosting: Steering or empowering good decisions. PerspectPsycholSci 12:973–986

    Google Scholar 

  22. Mani A, Mullainathan S, Shafir E, Zhao J (2013) Poverty impedes cognitive function. Science 341:976–980

    Article  ADS  CAS  Google Scholar 

Download references

Funding

The authors did not receive any financial grant for conducting this work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Girish K. Jha.

Ethics declarations

Conflict of interest

There are no conflict of interest issues with any of the associated authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Korekallu Srinivasa, A., Thiyaharajan, M., Surendran Padmaja, S. et al. The Indian Crop Insurance Puzzle: A Discourse from Behavioral Science Perspective. Natl. Acad. Sci. Lett. 44, 377–382 (2021). https://doi.org/10.1007/s40009-021-01055-w

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40009-021-01055-w

Keywords

Navigation