IDEAS home Printed from https://ideas.repec.org/p/snd/wpaper/103.html
   My bibliography  Save this paper

Performance Assessment of Crop Insurance Schemes in Odisha in Eastern India

Author

Listed:
  • Mamata Swain
  • Sasmita Patnaik

Abstract

Agriculture is a highly risky venture mainly due to uncertainty in crop production emanating from natural causes including unpredictable weather events and pest attacks, which leads governments to implement various crop insurance schemes in order to provide economic support to farmers in the event of crop failure. There are two major crop insurance schemes operating in Odisha state of India: National Agricultural Insurance Scheme (NAIS) and the pilot Weather Based Crop Insurance Scheme (WBCIS). NAIS provides compensation for yield losses due to natural causes and covers all food crops and commercial crops. WBCIS provides coverage for paddy crop yield losses due to rainfall only. Both schemes are compulsory for loanee farmers and are also available for non-loanee farmers on voluntary basis. In this study, we analyze and compare various indicators including their coverage, financial performance and operational efficiency in acting as a safety net to the farmers when they experience crop losses. The study uses both secondary data and primary data. While the secondary data on various performance indicators are for the state of Odisha as a whole, the primary data for the study come from the Bolangir and Kalahandi districts located in drought-prone western Odisha. Applying a multi-stage sampling method, the sample includes 100 households using WBCIS from the Bolangir district and 100 households using NAIS from the contiguous Kalahandi district. Primary data were collected using a structured household questionnaire via the direct interview method between October 2011 and May 2012. The results show that the area under crop insurance in these two schemes has increased from 10 to 16 percent of the gross cropped area in Odisha state during 2000-2012 but 84 percent is still not covered. This increase in coverage is mainly due to increase in the number of loanee farmers. The area under crop insurance by non loanee farmers has substantially declined over time in the case of both NAIS and WBCIS. NAIS is a large insurance scheme which covers 96 percent whereas WBCIS being a pilot scheme covers only 4 percent of the area insured by these two schemes in 2012. The study reveals that WBCIS performs better than NAIS as indicated by the higher adoption rate, the higher percentage of farmers benefited, the lower premium, faster claim payment, and the frequent indemnity payment. However, WBCIS covers only paddy crop losses due to deficit or surplus rainfall. In a frequently disaster-affected state like Odisha, where reasons for crop failure are many, there is also a need for multi-peril crop insurance schemes like NAIS. Therefore, both the schemes should continue and complement each other. The public sector may address catastrophic risk and provide multi-peril insurance where the subsidy requirement is high while the private sector could be brought into to provide insurance products for less severe events and for individual, independent, idiosyncratic and localized risk.

Suggested Citation

  • Mamata Swain & Sasmita Patnaik, "undated". "Performance Assessment of Crop Insurance Schemes in Odisha in Eastern India," Working papers 103, The South Asian Network for Development and Environmental Economics.
  • Handle: RePEc:snd:wpaper:103
    as

    Download full text from publisher

    File URL: http://www.sandeeonline.org/uploads/documents/publication/1084_PUB_Working_Paper_104_Mamata_Swain.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    2. Subhrendu K. Pattanayak & Alexander Pfaff, 2009. "Behavior, Environment, and Health in Developing Countries: Evaluation and Valuation," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 183-217, September.
    3. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    4. Jalan, Jyotsna & Somanathan, E., 2008. "The importance of being informed: Experimental evidence on demand for environmental quality," Journal of Development Economics, Elsevier, vol. 87(1), pages 14-28, August.
    5. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    6. -, 2009. "The economics of climate change," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38679, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    7. Madajewicz, Malgosia & Pfaff, Alexander & van Geen, Alexander & Graziano, Joseph & Hussein, Iftikhar & Momotaj, Hasina & Sylvi, Roksana & Ahsan, Habibul, 2007. "Can information alone change behavior? Response to arsenic contamination of groundwater in Bangladesh," Journal of Development Economics, Elsevier, vol. 84(2), pages 731-754, November.
    8. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Das, Saudamini, 2016. "Television is More Effective in Bringing Behavioral Change: Evidence from Heat-Wave Awareness Campaign in India," World Development, Elsevier, vol. 88(C), pages 107-121.
    2. Saudamini Das, "undated". "Evaluating the Role of Media in Averting Heat Stroke Mortality: A Daily Panel Data Analysis," Working papers 102, The South Asian Network for Development and Environmental Economics.
    3. Brown, Joe & Hamoudi, Amar & Jeuland, Marc & Turrini, Gina, 2017. "Seeing, believing, and behaving: Heterogeneous effects of an information intervention on household water treatment," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 141-159.
    4. Jessoe, Katrina, 2013. "Improved source, improved quality? Demand for drinking water quality in rural India," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 460-475.
    5. Ibhagui, Oyakhilome W., 2019. "Does the long-run monetary model hold for Sub-Saharan Africa? A time series and panel-cointegration study," Research in International Business and Finance, Elsevier, vol. 47(C), pages 279-303.
    6. Olgica Glavaški & Emilija Beker Pucar, 2021. "Heterogeneity of fiscal adjustments in EU economies in the pre- and post-crisis periods: common correlated effects approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 191-226, March.
    7. Barabas, György & Kitlinski, Tobias & Schmidt, Christoph M. & Schmidt, Torsten & Siemers, Lars-H. & Brilon, Werner, 2010. "Verkehrsinfrastrukturinvestitionen: Wachstumsaspekte im Rahmen einer gestaltenden Finanzpolitik. Endbericht - Januar 2010. Forschungsprojekt im Auftrag des Bundesministeriums der Finanzen. Projektnumm," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 72601, March.
    8. William F. Vásquez & Pallab Mozumder & Dina Franceschi, 2015. "Water Quality, Household Perceptions and Averting Behavior: Evidence from Nicaragua," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 1(04), pages 1-21, December.
    9. Andreas Dietrich, 2012. "Does growth cause structural change, or is it the other way around? A dynamic panel data analysis for seven OECD countries," Empirical Economics, Springer, vol. 43(3), pages 915-944, December.
    10. Balasubramanya, Soumya & Pfaff, Alexander & Bennear, Lori & Tarozzi, Alessandro & Ahmed, Kazi Matin & Schoenfeld, Amy & van Geen, Alexander, 2014. "Evolution of households' responses to the groundwater arsenic crisis in Bangladesh: information on environmental health risks can have increasing behavioral impact over time," Environment and Development Economics, Cambridge University Press, vol. 19(5), pages 631-647, October.
    11. Ha, Le Thanh, 2023. "The role of financial development in enhancing trades in environmental goods: International insights from 119 countries," Journal of Commodity Markets, Elsevier, vol. 29(C).
    12. Mitch Kunce, 2023. "Unemployment and Suicide in the United States: The Import of Addressing Cross-Sectional Dependence," Bulletin of Applied Economics, Risk Market Journals, vol. 10(1), pages 1-19.
    13. Matthew Krupoff & Ahmed Mushfiq Mobarak & Alexander van Geen, 2020. "Evaluating Strategies to Reduce Arsenic Poisoning in South Asia: A View from the Social Sciences," Asian Development Review, MIT Press, vol. 37(2), pages 21-44, September.
    14. Brian Feld & Sebastian Galiani, 2015. "Climate change in Latin America and the Caribbean: policy options and research priorities," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 24(1), pages 1-39, December.
    15. To Trung Thanh & Le Thanh Ha & Hoang Phuong Dung & Tran Thi Lan Huong, 2023. "Impacts of digitalization on energy security: evidence from European countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11599-11644, October.
    16. Bennear, Lori & Tarozzi, Alessandro & Pfaff, Alexander & Balasubramanya, Soumya & Matin Ahmed, Kazi & van Geen, Alexander, 2013. "Impact of a randomized controlled trial in arsenic risk communication on household water-source choices in Bangladesh," Journal of Environmental Economics and Management, Elsevier, vol. 65(2), pages 225-240.
    17. Herwartz, Helmut & Reimers, Hans-Eggert, 2006. "Modelling the Fisher hypothesis: World wide evidence," Economics Working Papers 2006-04, Christian-Albrechts-University of Kiel, Department of Economics.
    18. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    19. Guglielmo Maria Caporale & Anamaria Diana Sova & Robert Sova, 2024. "The Covid‐19 pandemic and European trade flows: Evidence from a dynamic panel model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 2563-2580, July.
    20. Ciarlone, Alessio, 2011. "Housing wealth effect in emerging economies," Emerging Markets Review, Elsevier, vol. 12(4), pages 399-417.

    More about this item

    Keywords

    Risk in Agriculture; Adaptation; Crop Insurance Schemes; Weather; Performance; Odisha;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:snd:wpaper:103. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anuradhak (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.