Journal Press India®

MANTHAN: Journal of Commerce and Management
Vol 12 , Issue 1 , January - June 2025 | Pages: 162-181 | Review paper

Pradhan Mantri Fasal Bima Yojana (PMFBY): A Systematic Literature Review and Directions for Future Research

 
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Author Details ( * ) denotes Corresponding author

1. * Prashant Sharma, Professor, Finance, Jindal School of Banking & Finance, O. P. Jindal Global University Sonipat, Sonipat, Haryana, India (prashantsharma1989@gmail.com)
2. Dinesh Kumar Sharma, Assistant Professor, Business Management, Gautam Buddha University, Greater Noida, Greater Noida, Uttar Pradesh, India (dinesh@gbu.ac.in)
3. Modish Kumar, Research Scholar, Management, Himachal Pradesh University Business School, Shimla, Shimla, Himachal Pradesh, India (modish.005@gmail.com)

This systematic literature review (SLR) aims to synthesize existing research on the Pradhan Mantri Fasal Bima Yojana (PMFBY), a flagship crop insurance scheme by the Government of India. This review provides valuable insights from past studies on PMFBY by analysing their findings, research methodologies, policy suggestions, limitations, and the future scope of research. A total of 36 articles were systematically selected from the Scopus database for this review. For in-depth analysis, qualitative methods of systematic literature review were employed for thematic content analysis using NVivo-14, Microsoft Excel, and Mendeley, a reference management software, in this paper. The significance of this paper lies in its potential to improve the implementation of the PMFBY scheme, contribute to possible modifications in the crop insurance policies, and promote the larger objective of sustainable agricultural development. Future researchers should focus on identified research gaps and limitations of past studies mentioned in this paper, with special attention on building trust, increasing awareness level, and improving policy design to ensure PMFBY’s effectiveness and scalability.

Keywords

Pradhan Mantri Fasal Bima Yojana; Systematic literature review; Crop insurance; Crop insurance scheme

  1. Adu, P. (2019). A step-by-step guide to qualitative data coding (1st Edition). Routledge. Retrieved from https://doi.org/https://doi.org/10.4324/9781351044516
  2. Arumugam, P., Chemura, A., Schauberger, B. & Gornott, C. (2020). Near real‐time biophysical rice (Oryza sativa L.) yield estimation to support crop insurance implementation in India. Agronomy, 10(11), 1674. Retrieved from https://doi.org/10.3390/ agronomy10111674
  3. Bhushan, C. & Kumar, V. (2017). Pradhan Mantri Fasal Bima Yojana : An assesment. centre for science and environment, New Delhi. Retrieved from https://india.gov.in/spotlight/pradhan-mantri-fasal-bima-yojana#tab=tab-1
  4. Cariappa, A. G., Lokesh, G. B., Joshi, A. T., Reddy, B. S. & Hulagur, B. (2019). Why do farmers opt for crop insurance? A discriminant analysis. Indian Journal of Economics and Development, 15(4), 525–532. Retrieved from https://doi.org/10.5958/2322-0430.2019.0 0068.4
  5. Cooke, A., Smith, D. & Booth, A. (2012). Beyond PICO: The SPIDER tool for qualitative evidence synthesis. Retrieved from https://doi.org/10.1177/1049732312452938
  6. Deep, S., Gajendran, T. & Jefferies, M. (2019). A systematic review of ‘enablers of collaboration’ among the participants in construction projects. Retrieved from https://doi.org/10.1080/15623599.2019.1596624
  7. Dey, K. & Maitra, D. (2017). Agriculture insurance in India: Promise, pitfalls, and the way forward. Economic and Political Weekly, 52(52), 88–96.
  8. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N. & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. Retrieved from https://doi.org/10.1016/J.JBUSRES.2021.04.070
  9. Dua, P., Sahay, N. & Deol, O. S. (2019). An overview and significance of different bancassurance schemes launched for financial inclusion in India. International Journal of Management, 10(6), 275–286. Retrieved from https://doi.org/10.34218/IJM.10.6.2019.0 27
  10. Dubey, S. K., Mandloi, D., Gavli, A. S., Latwal, A., Das, R. & Ray, S. S. (2019). Quality checking of crop cutting experiments using remote sensing data: A case study for rice crop in Odisha. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(3/W6), 461–466. Retrieved from https://doi.org/10.5194/isprs-archives-XLII-3-W6-461-2019
  11. Edison, J. C. & Singla, H. K. (2020). Development of a scale for factors causing delays in infrastructure projects in India. Construction Economics and Building, 20(1), 36–55. Retrieved from https://doi.org/10.5130/AJCEB.V20I1.6750
  12. Ghosh, S. & Mamun, A. (2012). The economics of crop insurance: A review of the empirical literature. International Journal of Food and Nutritional Sciences, 11(10),   2753-2760.
  13. Grant, M. J. & Booth, A. (2009). A typology of reviews: An analysis of 14 review types and associated methodologies. Health Information and Libraries Journal, 26(2), 91–108. Retrieved from https://doi.org/10.1111/j.1471-1842.2009.00848.x
  14. Karnik, A. & Lalvani, M. (2017). An examination of revenue generation. Economic and Political Weekly, 52(9), 50–54.
  15. Kaur, S., Raj, H. & Singh, H. (2022). Performance of Pradhan Mantri Fasal Bima Yojana in Haryana: A case study of Sirsa and Hisar district. International Journal of Agricultural and Statistical Sciences, 18(1), 373–383.
  16. Kaur, S., Raj, H., Singh, H. & Chattu, V. K. (2021). Crop insurance policies in india: An empirical analysis of pradhan mantri fasal bima yojana. Risks, 9(11). Retrieved from https://doi.org/10.3390/risks9110191
  17. Kaur, S., Singh, H., Roy, D. & Singh, H. (2024). Prospects of crop insurance for sustenance of farmers’ livelihood during GM cotton crop failure in Indian Punjab. Journal of Agribusiness in Developing and Emerging Economies. Retrieved from https://doi.org/ 10.1108/JADEE-06-2023-0142
  18. Kavitha, V. & Nandhini, S. U. (2022). An analysis on farmers awareness and perception towards Pradhan Mantri Fasal Bima Yojana scheme in Coimbatore district of Tamil Nadu. International Journal of Agricultural and Statistical Sciences, 18(2), 907–911.
  19. Krishna, V. V., Aravalath, L. M. & Vikraman, S. (2019). Does caste determine farmer access to quality information? PLOS ONE, 14(1), e0210721. Retrieved from https://doi.org/10.1371/JOURNAL.PONE.0210721
  20. Kuckertz, A. & Block, J. (2021). Reviewing systematic literature reviews: Ten key questions and criteria for reviewers. Management Review Quarterly, 71(3), 519–524. Retrieved from https://doi.org/10.1007/S11301-021-00228-7/METRICS
  21. Kulkarni, M., Deshmukh, K. & Prasannan, G. (2016). Pradhan Mantri Fasal Bima Yojana 2.0 Betrayal of the Initial Promise? Economic and Political Weekly, LVI(19), 1–38.
  22. Kumar, A. & Sharma, A. (2020). Socio-Sentic framework for sustainable agricultural governance. Sustainable Computing: Informatics and Systems, 28. Retrieved from https://doi.org/10.1016/j.suscom.2018.08.006
  23. Kumar, S. & Baliyan, S. K. (2021). Emerging trends, patterns of agricultural risk and insurance in uttar pradesh: Farm level evidence from bundelkhand region. Indian Journal of Economics and Development, 17(1), 35–44. Retrieved from https://doi.org/10.35716/ IJED/20125
  24. Majumder, S. H., Mondal, B. & Deka, N. (2023). Crop insurance in Odisha - progress, deficit and scope. Economic Affairs (New Delhi), 68(2), 1053–1061. Retrieved from https://doi.org/10.46852/0424-2513.2.2023.8
  25. Meerendonk, T. (2020). Claiming crisis: narratives of tension and insurance in rural India. Contemporary South Asia, 28(3), 362–373. Retrieved from https://doi.org/10.1080/ 09584935.2020.1799941
  26. Milesi, C. & Kukunuri, M. (2022). Crop yield estimation at gram panchayat scale by integrating field, weather and satellite data with crop simulation models. Journal of the Indian Society of Remote Sensing, 50(2), 239–255. Retrieved from https://doi.org/ 10.1007/s12524-021-01372-z
  27. Mishra, S. & Verma, V. (2023). Crop insurance and its role in Indian agriculture: A comprehensive review. Biological Forum-An International Journal, 15(10), 624.
  28. Mukherjee, S. & Pal, P. (2017). Impediments to the spread of crop insurance in India. Economic and Political Weekly, 52(35), 16–19.
  29. Mukhopadhyay, P., Sinha, M. & Sengupta, P. P. (2018). Determinants of farmers’ decision-making to accept crop insurance: A multinomial logit model approach. In Advances in Intelligent Systems and Computing (Vol. 758). Springer Singapore. Retrieved from https://doi.org/10.1007/978-981-13-0514-6_27
  30. Mukhopadhyay, P., Sinha, M. & Sengupta, P. P. (2020). Decision-making process of farmers: A conceptual framework. In Advances in Intelligent Systems and Computing (Vol. 999). Springer Singapore. Retrieved from https://doi.org/10.1007/978-981-13-9042-5_79
  31. Müller-Bloch, C. & Kranz, J. (2015). A framework for rigorously identifying research gaps in qualitative literature reviews. 2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015, 1–19.
  32. Nayak, N. S., Billava, N. & Ashalata, K. V. (2020). Agriculture insurance’s outreach constrained by procedural delays and norms: Reflections from North Karnataka, India. Research on World Agricultural Economy, 1(1), 39–49. Retrieved from https://doi.org/ 10.36956/rwae.v1i1.242
  33. Newman, M. & Gough, D. (2020). Systematic reviews in educational research: Methodology, perspectives and application. Systematic Reviews in Educational Research, 3–22. Retrieved from https://doi.org/10.1007/978-3-658-27602-7_1
  34. Nightingale, A. (2009). A guide to systematic literature reviews. Surgery (Oxford), 27(9), 381–384. Retrieved from https://doi.org/10.1016/J.MPSUR.2009.07.005
  35. Operational Guidelines Pradhan Mantri Fasal Bima Yojana. (2016). Department of Agriculture, Cooperation and Farmers Welfare, Ministry of Agriculture & Farmers Welfare, GOI. Retrieved from https://pmfby.gov.in/pdf/Revised_Operational_Guidelines. pdf
  36. Pazhanivelan, S., Ragunath, K. P., Sudarmanian, N. S., Kumaraperumal, R., Setiyono, T. & Quicho, E. D. (2019). Integrating time-series SAR data and ORYZA crop growth model in Rice area mapping and yield estimation for crop insurances. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(3/W6), 239–243. Retrieved from https://doi.org/10.5194/isprs-archives-XLII-3-W6-239-2019
  37. Pazhanivelan, S., Ragunath, K. P., Sudarmanian, N. S., Kumaraperumal, R., Setiyono, T. & Quicho, E. D. (2020). Remote Sensing based Rice crop insurances as an operational service in India using Sentinel 1A and ORYZA crop simulation model. 40th Asian Conference on Remote Sensing, ACRS 2019: Progress of Remote Sensing Technology for Smart Future, October.
  38. Peterson, B. L. (2017). Thematic analysis/interpretive thematic analysis. The International Encyclopedia of Communication Research Methods, 1–9. Retrieved from https://doi.org/ 10.1002/9781118901731.IECRM0249
  39. Philip, B. & Suresh, G. (2024). Cultivating resilience: An in-depth exploration of agricultural insurance initiatives and their transformative role in India’s farming landscape. Universal Journal of Agricultural Research, 12(1), 87–95. Retrieved from https://doi.org/10.13189/ujar.2024.120109
  40. Priyanka, A. P., Muraligopal, S. & Kumar, N. E. (2019). The Genesis of Pradhan Mantri Fasal Bima Yojana-A review. Indian Journal of Economics and Development, 15(3), 483–487. Retrieved from https://doi.org/10.5958/2322-0430.2019.00063.5
  41. Pushp, A., Gautam, R. S., Tripathi, V., Kanoujiya, J., Rastogi, S., Bhimavarapu, V. M. & Parashar, N. (2023). Impact of financial inclusion on India’s economic development under the moderating effect of internet subscribers. Journal of Risk and Financial Management, 16(5). Retrieved from https://doi.org/10.3390/jrfm16050262
  42. Rana, S., Sakshi, & Singh, J. (2022). Presenting the POWER framework of conducting literature review (Vol. 1, pp. 1–13). Emerald Publishing Limited. Retrieved from https://doi.org/10.1108/s2754-586520220000001001
  43. Sharma, H. O. & Rathi, D. (2018). Performance evaluation of Pradhan Mantri Fasal Bima Yojana (PMFBY) in Madhya Pradesh. Agro-Economic Research Centre, JNKVV, Jabalpur, Research S(124).
  44. Shehrawat, A., Sharma, N., Shehrawat, P. & Bhakar, S. (2020). Awareness and performance of agricultural development schemes in context of farmers’ welfare in Haryana. Economic Affairs (New Delhi), 65(2), 167–172. Retrieved from https://doi.org/ 10.46852/0424-2513.2.2020.5
  45. Shroff, S. & Phadke, M. (2022). Performance of the Pradhan Mantri Fasal Bima Yojana: case of Maharashtra. Economic and Political Weekly, 57(9), 64–69.
  46. Singh, P. & Agrawal, G. (2020). Development, present status and performance analysis of agriculture insurance schemes in India: Review of evidence. International Journal of Social Economics, 47(4), 461–481. Retrieved from https://doi.org/10.1108/IJSE-02-2019-0119
  47. Sutherland, S. E. (2004). An introduction to systematic reviews. Journal of Evidence Based Dental Practice, 4(1), 47–51. Retrieved from https://doi.org/10.1016/j.jebdp.20 04.02.021
  48. Tanwar, A., Kauru, M. & Rathore, S. (2021). Attitude of wheat growers towards Pradhan Mantri Fasal Bima Yojana. Indian Journal of Agricultural Sciences, 91(6), 842–846. Retrieved from https://doi.org/10.56093/ijas.v91i6.114269
  49. Tawfik, G. M., Dila, K. A. S., Mohamed, M. Y. F., Tam, D. N. H., Kien, N. D., Ahmed, A. M., & Huy, N. T. (2019). A step by step guide for conducting a systematic review and meta-analysis with simulation data. Tropical Medicine and Health, 47(1), 1–9. Retrieved from https://doi.org/10.1186/s41182-019-0165-6
  50. Tiwari, R., Chand, K., & Anjum, B. (2020). Crop insurance in India: A review of Pradhan Mantri Fasal Bima Yojana (PMFBY). FIIB Business Review, 9(4), 249–255. Retrieved from https://doi.org/10.1177/2319714520966084
  51. Vishnoi, L., Kumar, A., Kumar, S., Sharma, G., Baxla, A.K., Singh, K.K. & Bhan, S.C. (2020). Weather based crop insurance for risk management in agriculture. Journal of Agrometeorology, 22(2), 101–108. Retrieved from https://doi.org/10.54386/jam.v22 i2.149
  52. Xiao, Y., & Watson, M. (2019). Guidance on conducting a systematic literature review. Journal of Planning Education and Research, 39(1), 93–112. Retrieved from https://doi.org/10.1177/0739456X17723971
  53. Zada, A. M. W., Mohapatra, L. & Anand, A. (2019). Analysis of awareness level of agricultural insurance among the stakeholders in Punjab. Economic Affairs (New Delhi), 64(3), 503–512. Retrieved from https://doi.org/10.30954/0424-2513.3.2019.5
  54. Zhu, J. & Liu, W. (2020). A tale of two databases: The use of Web of Science and Scopus in academic papers. Scientometrics, 123(1), 321–335. Retrieved from https://doi.org/10.10 07/S11192-020-03387-8/TABLES/3
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