Designing Weather Index Insurance for Rice Production to Cope with Climate Change in Northeastern Thailand
DOI:
https://doi.org/10.55164/ecbajournal.v17i3.274150Keywords:
Weather Index Insurance, Climate Change, Risk Reduction, Rice Production, ThailandAbstract
This research aims to design weather index insurance (WII) schemes and to analyze risk reduction performance of weather index insurance to cope with future climate change for rice production in Thailand. The econometric methods and panel data were conducted to analyze the impacts of climate change, which will give precise analysis results for designing WII systems for rice production. The design of the WII is based on the average temperature index in 2021. A case study for the northeastern region found that the WII was effective in reducing income risk by 2.39 percent. In the case of rainfall, it could reduce income risk by 6.65 percent. For future climate change, the WII on temperature index effectively reduced income risk by 8.01 percent, 10.59 percent, and 11.98 percent; the rainfall index was effective at 9.55 percent, 7.59 percent, and 7.02 percent in 2030, 2040, and 2050, respectively. These index-based insurance system reviews that are to be considered are: WII design, WII pricing, weather measurement, ease of use of insurance, and perception and public relations. The readiness and limitations of developing WII systems continue to be challenges, and public-private partnerships are required for efficiency driving of WII to cope with future climate change.
References
Barnett, B.J., & Mahul, O. (2007). Weather Index Insurance for Agriculture and Rural Areas in Lower-Income Countries. American Journal of Agricultural Economics, 89(5), 1241-1247.
Belissa, T.K. (2024). Effects of Weather Index Insurance Adoption on Household Food Consumption and Investment in Agricultural Inputs in Ethiopia. Journal of Agriculture and Food Research 16, 101043.
Benso, M. R., Gesualdo, G. C. , Silva, R. F., Silva, G. J., Rápalo, L. M. C., Navarro, F. A. R., Marques, P. A. A., Marengo, J. A., & Mendiondo, E. M. (2023). Review article: Design and Evaluation of Weather Index Insurance for Multi-hazard Resilience and Food Insecurity. Natural Hazards Earth System Sciences, 23, 1335–1354.
Carter, M., Alain, J., Elisabeth, S., & Alexandros, S. (2014). Index-based Weather Insurance for Developing Countries: A Review of Evidence and a Set of Propositions for Up-scaling. foundation pour lestudeset recherches sur le development international Working Paper 111.
Chen, Y.T. (2011). Weather Index-Based Rice Insurance: A Pilot Study of Nine Villages in Zhejiang Province, China. Master Thesis, Swiss Federal Institute of Technology Zurich. Switzerland.
Clarke, D., & Liam, W-L. (2013). Learning from Lemons: The Role of Government in Index Insurance for Individuals. FERDI Policy Brief, No. 70.
Collier, B., Skees, J., & Barnett, B. (2009). Weather Index Insurance and Climate Change: Opportunities and Challenges in Lower Income Countries. The Geneva Papers, 34, 401–424.
Fiscal Policy Office. (2010). Developing a Financial Instrument for Farmers: a Case of Weather Index-based Insurance for Agriculture in Thailand. Final report. Fiscal Policy Office. Bangkok.
Furuya, J., Omori, K., & Aizaki, H. (2021). Toward the Development of a Weather Index Insurance for Rice Farmers in the Coastal Region of Myanmar. Paddy and Water Environment 19, 255–260.
Ghosh, R.K., Gupta, S., Singh, V., & Ward, P.S. (2020). Demand for Crop Insurance in Developing Countries: New Evidence from India. Journal of Agricultural Economics, 72(1), 293–320.
Goodwin, B.K., & Mahul, O. (2004). Risk Modeling Concepts Relating to the Design and Rating of Agricultural Insurance Contracts. World Bank Policy Research Working Paper 3392.
Guo, J., Mao, K., Zhao, Y., Lu, Z., & Xiaoping, L. (2019). Impact of Climate on Food Security in Mainland China: A New Perspective Based on Characteristics of Major Agricultural Natural Disasters and Grain Loss, Sustainability, 11, 869.
Hans, P.B. (2012). Is There Too Much Hype about Index-based Agricultural Insurance?. Journal of Development Studies, 48(2), 187–200.
Heimfarth, L., Hotopp, H., & Musshoff, O. (2010). Weather Derivatives for Farm Households in the North China Plain: Potential Reduction of Income Volatility and the Importance of Basis Risks. Paper prepared for presentation at the III Workshop on: Valuation Methods in Agro-food and Environmental Economics. Barcelona, 1st –2nd July 2010.
Hull, C.J. (2012). Options, Futures, and Other Derivatives. 8th ed. Peason Education. Essex, England. 329, 758-761.
Jin, Y., Rejesus, R.M., & Little, B.B. (2005). Binary Choice Models for Rare Events Data: A Crop Insurance Fraud Application: An electronic journal on Applied Economics, 37, 841-848.
Kapsambelis, D., Moncoulon, D., & Cordier, J. (2019). An Innovative Damage Model for Crop Insurance, Combining Two Hazards into a Single Climatic Index, Climate, 7, 125, https://doi.org/10.3390/cli7110125.
King Mongkut’s University of Technology Thonburi. (2016). Climate Change Projection. Coordination and Development Center for Global Warming and Climate Change Research (Thai-GLOB). The Joint Graduate School of Energy and Environment. King Mongkut’s University of Technology Thonburi. Bangkok.
Kunreuther, H., & Pauly, M. (2004). Neglecting Disaster: Why Don’t People Insure Against Large Losses?. Journal of Risk and Uncertainty, 28(1), 5-21.
Kusuma, A., Jackson, B., & Noy, I. (2017). A Viable and Cost-Effective Weather Index Insurance for Rice in Indonesia," CESifo Working Paper Series 6530, CESifo.
Lasco, R.D., Habito, C.M.D., Delfi, R.J.P., Pulhin, F.B., & Concepcion, R.N. (2011). Climate Change Adaptation for Smallholder Farmers in Southeast Asia. World Agroforestry Centre, Philippines.
Mahul, O., Clarke, D., Maher, B., & Assah, F. (2013). Promoting Access to Agricultural Insurance in Developing Countries. World Bank.
Musshoff, O., Odening, M., & Xu, W. (2011). Management of Climate Risks in Agriculture-Will Weather Derivatives Permeate?. Applied Economics, 43(9), 1067-1077.
Office of Agricultural Economics. (2024). Agricultural Economic Data. Online Retrieved from https://www.oae.go.th/assets/portals/1/fileups/prcaidata/files/major%20rice%2065(1).pdf (30 July 2567)
Osgood, D., & Shirley, K.E. (2012). The Value of Information in Index Insurance for Farmers in Africa. In: Laxminarayan R., Macauley M. (eds): An electronic journal. on The Value of Information. Springer, Dordrecht.
Shirsath, P., Vyas, S., Aggarwal, P., & Rao, K. N. (2019). Designing Weather Index Insurance of Crops for the Increased Satisfaction of Farmers, Industry and the Government, Climate Risk Management, 25, 100189, https://doi.org/10.1016/j.crm.2019.100189.
Singh, P. (2022). Weather Index Insurance Viability in Mitigation of Climate Change Impact Risk: a Systematic Review and Future Agenda. Journal of Science and Technology Policy Management, 15(1), 142-163.
Sinnarong, N. (2013a). Essays on the Impact of Climate Change in Agricultural Production. Doctoral Dissertation of Applied Economics. National Chung Hsing University, Taiwan.
Sinnarong, N. (2013b). The Potential Impacts of Weather on Rice Production and Evaluation of Agro-adaptation Measure for Northern Thailand. The Journal of Interdisciplinary Networks, 2(2), 450-456.
Sinnarong, N., Kuson, S., Nunthasen, W., Puphoung, S., & Souvannasouk, V. (2022). The Potential Risks of Climate Change and Weather Index Insurance Scheme for Thailand's Economic Crop Production. Environmental Challenges, 8, 100575. doi:https://doi.org/10.1016/j.envc.2022.100575.
Skees, J.R. (2008). Innovations in Index Insurance for the Poor in Lower Income Countries. Agricultural and Resource Economics Review, 37(1), 1–15.
Tadesse, M.A., Shiferaw, B.A., & Erenstein, O. (2015). Weather Index Insurance for Managing Drought Risk in Smallholder Agriculture: Lessons and Policy Implications for Sub-Saharan Africa. Agricultural and Food Economics, 3, 1-21.
The World Bank. (2011). Weather Index Insurance for Agriculture: Guidance for Development Practitioners. Agricultural and Rural Development Discussion Paper 50. The World Bank, Washington, DC.
Vedenov, D.V., & Barnett, B.J. (2004). Efficiency of Weather Derivatives as Primary Crop Insurance Instruments. Journal of Agricultural and Resource Economics, 29(3), 387-403.
Zeng, L.X. (2000). Weather Derivatives and Weather Insurance: Concept, Application, and Analysis. Bulletin of the American Meteorological Society, 81(9), 2075-2082.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Faculty of Economics and Business Administration, Thaksin University

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
