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A Viable and Cost-Effective Weather Index Insurance for Rice in Indonesia

Author

Listed:
  • Aditya Kusuma
  • Ilan Noy
  • Bethanna Jackson

Abstract

The potentially adverse effects of droughts on agricultural output are obvious. Indonesian rice farmers have no financial protection from climate risk via catastrophic weather risk transfer tools. Done well, a weather index insurance (WII) program can not only provide resources that enable recovery, but can also facilitate the adoption of prevention and adaptation measures and incentivise risk reduction. Here, we quantify the applicability, viability, and likely cost of introducing a WII for droughts for rice production in Indonesia. To reduce basis risk, we construct district specific indices that are based on the estimation of Panel Geographically Weighted Regressions models. With these spatial tools, and detailed district level data on past agricultural productivity and weather conditions, we present an algorithm that generates an effective and actuarially sound WII, and measure its effectiveness in reducing income volatility for farmers. We use data on annual paddy production in 428 Indonesian districts, reported over the period 1990-2013, and climate data from 1950-2015. We use the monthly Palmer Drought Severity Index and identify district-specific trigger and exit points for the insurance plan. We quantify the impact of this hypothetical insurance product using past production data to calculate an actuarially-robust and welfare-enhancing price for this scheme.

Suggested Citation

  • Aditya Kusuma & Ilan Noy & Bethanna Jackson, 2017. "A Viable and Cost-Effective Weather Index Insurance for Rice in Indonesia," CESifo Working Paper Series 6530, CESifo Group Munich.
  • Handle: RePEc:ces:ceswps:_6530
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    References listed on IDEAS

    as
    1. Jerry R. Skees & J. Roy Black & Barry J. Barnett, 1997. "Designing and Rating an Area Yield Crop Insurance Contract," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 430-438.
    2. James LeSage & Matthew Dominguez, 2012. "The importance of modeling spatial spillovers in public choice analysis," Public Choice, Springer, vol. 150(3), pages 525-545, March.
    3. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    4. Veronika Bertram-Huemmer & Kati Kraehnert, 2018. "Does Index Insurance Help Households Recover from Disaster? Evidence from IBLI Mongolia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(1), pages 145-171.
    5. A S Fotheringham & M E Charlton & C Brunsdon, 1998. "Geographically weighted regression: a natural evolution of the expansion method for spatial data analysis," Environment and Planning A, Pion Ltd, London, vol. 30(11), pages 1905-1927, November.
    6. Cai, Ruohong & Yu, Danlin & Oppenheimer, Michael, 2014. "Estimating the Spatially Varying Responses of Corn Yields toWeather Variations using GeographicallyWeighted Panel Regression," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(2), pages 1-23.
    7. Askar Choudhury & James Jones & Adolph Okine & Raquiba (Lena) Choudhury, 2016. "Drought†Triggered Index Insurance Using Cluster Analysis of Rainfall Affected by Climate Change," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 39(2), pages 169-186.
    8. Nicholas D. Paulson & Chad E. Hart & Dermot J. Hayes, 2010. "A spatial Bayesian approach to weather derivatives," Agricultural Finance Review, Emerald Group Publishing, vol. 70(1), pages 79-96, May.
    9. Luc Anselin, 2001. "Spatial Effects in Econometric Practice in Environmental and Resource Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 705-710.
    10. Emmanuel Skoufias & Roy S. Katayama & B. Essama-Nssah, 2012. "Too little too late: welfare impacts of rainfall shocks in rural Indonesia," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 48(3), pages 351-368, December.
    11. Barnett, Barry J., 2004. "Agricultural Index Insurance Products: Strengths And Limitations," Agricultural Outlook Forum 2004 32971, United States Department of Agriculture, Agricultural Outlook Forum.
    12. Hans P. Binswanger-Mkhize, 2012. "Is There Too Much Hype about Index-based Agricultural Insurance?," Journal of Development Studies, Taylor & Francis Journals, vol. 48(2), pages 187-200, February.
    13. A S Fotheringham & M E Charlton & C Brunsdon, 1998. "Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis," Environment and Planning A, , vol. 30(11), pages 1905-1927, November.
    14. Skoufias, Emmanuel, 2003. "Economic Crises and Natural Disasters: Coping Strategies and Policy Implications," World Development, Elsevier, vol. 31(7), pages 1087-1102, July.
    15. Dercon, Stefan & Hill, Ruth Vargas & Clarke, Daniel & Outes-Leon, Ingo & Seyoum Taffesse, Alemayehu, 2014. "Offering rainfall insurance to informal insurance groups: Evidence from a field experiment in Ethiopia," Journal of Development Economics, Elsevier, vol. 106(C), pages 132-143.
    16. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    17. Berloffa, Gabriella & Modena, Francesca, 2013. "Income shocks, coping strategies, and consumption smoothing: An application to Indonesian data," Journal of Asian Economics, Elsevier, vol. 24(C), pages 158-171.
    18. Kellner, Ulla & Musshoff, Oliver, 2011. "Precipitation or water capacity indices? An analysis of the benefits of alternative underlyings for index insurance," Agricultural Systems, Elsevier, vol. 104(8), pages 645-653, October.
    19. Olivier Mahul, 2001. "Optimal Insurance Against Climatic Experience," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 593-604.
    20. Benjamin Collier & Jerry Skees & Barry Barnett, 2009. "Weather Index Insurance and Climate Change: Opportunities and Challenges in Lower Income Countries," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 34(3), pages 401-424, July.
    21. Huck-ju Kwon & Woo-rim Kim, 2015. "The Evolution of Cash Transfers in Indonesia: Policy Transfer and National Adaptation," Asia and the Pacific Policy Studies 201534, Crawford School of Public Policy, The Australian National University.
    22. Million Tadesse & Bekele Shiferaw & Olaf Erenstein, 2015. "Weather index insurance for managing drought risk in smallholder agriculture: lessons and policy implications for sub-Saharan Africa," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 3(1), pages 1-21, December.
    23. repec:anr:reveco:v:9:y:2017:p:421-438 is not listed on IDEAS
    24. Olivier Mahul & Charles J. Stutley, 2010. "Government Support to Agricultural Insurance : Challenges and Options for Developing Countries," World Bank Publications, The World Bank, number 2432, December.
    25. Olivier Mahul, 2001. "Optimal insurance against climatic experience," Post-Print hal-01952102, HAL.
    26. Mario J. Miranda & Katie Farrin, 2012. "Index Insurance for Developing Countries," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 34(3), pages 391-427.
    27. Mario Miranda & Dmitry V. Vedenov, 2001. "Innovations in Agricultural and Natural Disaster Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 650-655.
    28. Clarke,Daniel Jonathan & Mahul,Olivier & Rao,Kolli Nageswara & Verma,Niraj, 2012. "Weather based crop insurance in India," Policy Research Working Paper Series 5985, The World Bank.
    29. Antoine Leblois & Philippe Quirion, 2013. "Agricultural insurances based on meteorological indices: realizations, methods and research challenges," Post-Print hal-00656778, HAL.
    30. Huck-ju Kwon & Woo-rim Kim, 2015. "The Evolution of Cash Transfers in Indonesia: Policy Transfer and National Adaptation," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 2(2), pages 425-440, May.
    31. Hong Shi & Zhihui Jiang, 2016. "The efficiency of composite weather index insurance in hedging rice yield risk: evidence from China," Agricultural Economics, International Association of Agricultural Economists, vol. 47(3), pages 319-328, May.
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    Keywords

    index insurance; rice; Indonesia;

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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