Fluhrer, Svenja (2023): Crowding-in or crowding-out: The effect of humanitarian aid on households’ investments in climate adaptation.
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Abstract
Forecast-based Financing (FbF) is a new humanitarian instrument that helps vulnerable households to cope with climate shocks. While economists have posited that ex-post disaster aid decreases households’ investment in climate adaptation strategies such as agriculture insurance uptake, the effect of FbF on households’ adaptation investments is unknown. In this paper, I use a Randomized Controlled Trial approach to examine the effect of FbF on the demand for agriculture insurance among pastoralist households in Mongolia. I find that receiving FbF during an extreme weather event increases the uptake of livestock insurance for the following year, indicating that FbF crowds-in households’ investments in climate adaptation. I suggest increased risk awareness through which FbF affects insurance demand.
Item Type: | MPRA Paper |
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Original Title: | Crowding-in or crowding-out: The effect of humanitarian aid on households’ investments in climate adaptation |
Language: | English |
Keywords: | Adaptation, forecast-based financing, index-based agricultural insurance, livestock, charity hazard |
Subjects: | H - Public Economics > H8 - Miscellaneous Issues > H84 - Disaster Aid O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture |
Item ID: | 117975 |
Depositing User: | Svenja Fluhrer |
Date Deposited: | 20 Jul 2023 17:32 |
Last Modified: | 20 Jul 2023 17:32 |
References: | Andor, M. A., Osberghaus, D., & Simora, M., 2020. Natural disasters and governmental aid: Is there a charity hazard? Ecological Economics, 169, 106534. https://doi.org/10.1016/j.ecolecon.2019.106534. Anticipation Hub, 2022. Early action database. Retrieved from https://www.anticipation-hub.org/experience/early-action/early-action-database. Accessed June 1, 2022. Arnold, C., Conway, T., & Greenslade, M., 2011. Cash transfers literature review. London: Department for International Development. Barnett, B. J., & Mahul, O., 2007. Weather index insurance for agriculture and rural areas in lower-income countries. American Journal of Agricultural Economics, 89, 1241-1247. https://doi.org/10.1111/j.1467-8276.2007.01091.x. Belissa, T., Bulte, E., Cecchi, F., Gangopadhyay, S., & Lensink, R., 2019. Liquidity constraints, informal institutions, and the adoption of weather insurance: A randomized controlled trial in Ethiopia. Journal of Development Economics, 140, 269-278. https://doi.org/10.1016/j.jdeveco.2019.06.006. Bjerge, B., & Trifkovic, N., 2018. Extreme weather and demand for index insurance in rural India. European Review of Agricultural Economics, 45, 397-431. https://doi.org/10.1093/erae/jbx037. Browne, M. J., & Hoyt, R. E., 2000. The demand for flood insurance: Empirical evidence. Journal of Risk and Uncertainty, 20, 291-306. https://doi.org/10.1023/A:1007823631497. Brunette, M., Cabantous, L., Couture, S., & Stenger, A., 2013. The impact of governmental assistance on insurance demand under ambiguity: A theoretical model and an experimental test. Theory and Decision, 75, 153-174. https://doi.org/10.1007/s11238-012-9321-8. Buchanan, J. M., 1975. The Samaritan's dilemma. In E. S. Phelps (Ed.), Altruism, morality, and economic theory (pp. 71-89). New York, USA: Russell Sage Foundation. Cai, J., De Janvry, A., & Sadoulet, E., 2020. Subsidy policies and insurance demand. American Economic Review, 110, 2422-2453. https://doi.org/10.1257/aer.20190661. Davlasheridze, M., & Miao, Q., 2019. Does governmental assistance affect private decisions to insure? An empirical analysis of flood insurance purchases. Land Economics, 95, 124-145. https://doi.org/10.3368/le.95.1.124. Doherty, E., Mellett, S., Norton, D., McDermott, T. K., O’Hora, D., & Ryan, M., 2021. A discrete choice experiment exploring farmer preferences for insurance against extreme weather events. Journal of Environmental Management, 290, 112607. https://doi.org/10.1016/j.jenvman.2021.112607. European Commission 2010. Commission decision on the financing of humanitarian actions in Mongolia from the general budget of the european union (echo/mng/bud/2010/01000). Brussels: European Commission. European Commission, 2022. European civil protection and humanitarian aid operations: Cash transfers. Retrieved from https://civil-protection-humanitarian-aid.ec.europa.eu/what/humanitarian-aid/cash-transfers_en. Accessed June 1, 2022. Fisher, E., Hellin, J., Greatrex, H., & Jensen, N., 2019. Index insurance and climate risk management: Addressing social equity. Development Policy Review, 37, 581-602. https://doi.org/10.1111/dpr.12387. Fluhrer, S., & Kraehnert, K., 2022. Sitting in the same boat: Subjective well-being and social comparison after an extreme weather event. Ecological Economics, 195, 107388. https://doi.org/10.1016/j.ecolecon.2022.107388. Fonta, W. M., Sanfo, S., Kedir, A. M., & Thiam, D. R., 2018. Estimating farmers’ willingness to pay for weather index-based crop insurance uptake in West Africa: Insight from a pilot initiative in southwestern Burkina Faso. Agricultural and Food Economics, 6, 1-20. https://doi.org/10.1186/s40100-018-0104-6. G20 Global Partnership for Financial Inclusion, 2015. New trends in agricultural finance. Antalya: G20 Global Partnership for Financial Inclusion. Gallagher, J., 2014. Learning about an infrequent event: Evidence from flood insurance take-up in the United States. American Economic Journal: Applied Economics, 206-233. https://doi.org/10.1257/app.6.3.206. German Federal Foreign Office, 2022. G7 foreign ministers' statement on strengthening anticipatory action in humanitarian assistance. Retrieved from https://www.auswaertiges-amt.de/en/newsroom/news/g7-anticipatory-action/2531236. Accessed September 5, 2022. German Red Cross, 2017. Forecast-based financing - a policy overview. Berlin: German Red Cross. German Red Cross, & Red Cross Red Crescent Climate Centre, 2016. Manual for forecast-based financing. Berlin: German Red Cross. Gibson, C. C., Andersson, K., & Shivakumar, S., 2005. The Samaritan's dilemma: The political economy of development aid. New York, NY: Oxford University Press. Giné, X., Menand, L., Townsend, R., & Vickery, J., 2012. Microinsurance: A case study of the Indian rainfall index insurance market. In C. Ghate (Ed.), The Oxford handbook of the Indian economy (pp. 167-194). Oxford: Oxford University Press. Greatrex, H., Hansen, J., Garvin, S., Diro, R., Le Guen, M., Blakeley, S., Rao, K., & Osgood, D., 2015. Scaling up index insurance for smallholder farmers: Recent evidence and insights. CCAFS Report. Groppo, V., & Kraehnert, K., 2016. Extreme weather events and child height: Evidence from Mongolia. World Development, 86, 59-78. https://doi.org/10.1016/j.worlddev.2016.05.005. Groppo, V., & Kraehnert, K., 2017. The impact of extreme weather events on education. Journal of Population Economics, 30, 433-472. https://doi.org/10.1007/s00148-016-0628-6. Gros, C., Easton‐Calabria, E., Bailey, M., Dagys, K., de Perez, E. C., Sharavnyambuu, M., & Kruczkiewicz, A., 2022. The effectiveness of forecast‐based humanitarian assistance in anticipation of extreme winters: A case study of vulnerable herders in Mongolia. Disasters, 46, 95-118. https://doi.org/10.1111/disa.12467. Hazell, P., & Hess, U., 2017. Beyond hype: Another look at index-based agricultural insurance. In P. Pingali & G. Feder (Eds.), Agriculture and rural development in a globalizing world (pp. 211-226). London: Routledge. Hill, R. V., Robles, M., & Ceballos, F., 2016. Demand for a simple weather insurance product in India: Theory and evidence. American Journal of Agricultural Economics, 98, 1250-1270. https://doi.org/10.1093/ajae/aaw031. IFRC, 2018. Forecast-based financing for vulnerable herders in Mongolia. Ulaanbaatar: International Federation of Red Cross and Red Crescent Societies. IFRC, 2020. Mongolia: Dzud. Early action protocol summary. Ulaanbaatar: International Federation of Red Cross and Red Crescent Societies. Imbens, G. W., & Rubin, D. B., 2015. Causal inference in statistics, social, and biomedical sciences. New York City: Cambridge University Press. Kaplow, L., 1991. Incentives and government relief for risk. Journal of Risk and Uncertainty, 4, 167-175. https://doi.org/10.1007/BF00056124. Karlan, D., Osei, R., Osei-Akoto, I., & Udry, C., 2014. Agricultural decisions after relaxing credit and risk constraints. The Quarterly Journal of Economics, 129, 597-652. https://doi.org/10.1093/qje/qju002. Kelly, M., & Kleffner, A. E., 2003. Optimal loss mitigation and contract design. Journal of Risk and Insurance, 70, 53-72. https://doi.org/10.1111/1539-6975.00047. Kraehnert, K., Lehmann-Uschner, K., Groppo, V., Bertram-Huemmer, V., Fluhrer, S., Mogge, L., Roeckert, J., & Wojewska, A., 2022. Coping with shocks in Mongolia household panel survey, waves 1-5. Version 2.0. Potsdam, Berlin, and Ulaanbaatar. Landry, C. E., Turner, D., & Petrolia, D., 2021. Flood insurance market penetration and expectations of disaster assistance. Environmental and Resource Economics, 79, 357-386. https://doi.org/10.1007/s10640-021-00565-x. Lewis, T., & Nickerson, D., 1989. Self-insurance against natural disasters. Journal of Environmental Economics and Management, 16, 209-223. https://doi.org/10.1016/0095-0696(89)90010-7. Mahul, O., & Skees, J. R., 2007. Managing agricultural risk at the country level: The case of index-based livestock insurance in Mongolia. World Bank Policy Research Working Paper. Mahul, O., & Stutley, C. J., 2010. Government support to agricultural insurance: Challenges and options for developing countries. Washington: World Bank Publications. Miranda, M. J., & Farrin, K., 2012. Index insurance for developing countries. Applied Economic Perspectives and Policy, 34, 391-427. Mogge, L., 2021. The effect of risk perception on the demand for index insurance in Mongolia. Paper presented at German Development Economics Conference on June 17, 2021, Hohenheim. Mogge, L., Roeckert, J., & Kraehnert, K., 2022. Forecast-based humanitarian assistance in the wake of a weather disaster: Evidence from a randomized controlled trial. Paper presented at Nordic Conference in Development Economics on June 12, 2022, Helsinki. Mongolian RE, 2021. Index-based livestock insurance. Retrieved from http://www.mongolianre.com/index.php?lan=en&page=products&pid=311. Accessed June 16, 2022. Nandintsetseg, B., Shinoda, M., Du, C., & Munkhjargal, E., 2018. Cold-season disasters on the eurasian steppes: Climate-driven or man-made. Scientific Reports, 8, 1-9. https://doi.org/10.1038/s41598-018-33046-1. National Statistical Office of Mongolia, 2022. Mongolian statistical information service. Retrieved from http://www.1212.mn. Accessed January 8, 2022. Nauman, C., Anderson, E., de Perez, E. C., Kruczkiewicz, A., McClain, S., Markert, A., Griffin, R., & Suarez, P., 2021. Perspectives on flood forecast-based early action and opportunities for earth observations. Journal of Applied Remote Sensing, 15, 032002. https://doi.org/10.1117/1.JRS.15.032002. Ngoc Que Anh, N., Thanh Binh, P., & Dang Thuy, T., 2019. Willingness to pay for agricultural flood insurance in the Mekong River Delta. Environmental Hazards, 18, 212-227. https://doi.org/10.1080/17477891.2018.1540342. Petrolia, D. R., Landry, C. E., & Coble, K. H., 2013. Risk preferences, risk perceptions, and flood insurance. Land Economics, 89, 227-245. https://doi.org/10.3368/le.89.2.227 Pople, A., Hill, R., Dercon, S., & Brunckhorst, B., 2021. Anticipatory cash transfers in climate disaster response. Oxford: Centre for the Study of African Economies, University of Oxford. Pörtner, H. O., Roberts, D. C., Adams, H., Adler, C., Aldunce, P., Ali, E., (...), & Ibrahim, Z. Z., 2022. Technical summary. In H. O. Pörtner, D. C. Roberts, E. S. Poloczanska, K. Mintenbeck, M. Tignor, A. Alegría, (...) & A. Okem (Eds.), Climate change 2022: Impacts, adaptation, and vulnerability. Contribution of working group ii to the sixth assessment report of the intergovernmental panel on climate change (pp. 40-82). Cambridge: Cambridge University Press. Project Implementation Unit, 2012. Index based livestock insurance project implementation report 2005–2012. Ulaanbaatar: Project Implementation Unit. Raschky, P. A., Schwarze, R., Schwindt, M., & Zahn, F., 2013. Uncertainty of governmental relief and the crowding out of flood insurance. Environmental and Resource Economics, 54, 179-200. https://doi.org/10.1007/s10640-012-9586-y. Raschky, P. A., & Schwindt, M., 2016. Aid, catastrophes and the Samaritan's dilemma. Economica, 83, 624-645. https://doi.org/10.1111/ecca.12194. Raschky, P. A., & Weck-Hannemann, H., 2007. Charity hazard—a real hazard to natural disaster insurance? Environmental Hazards, 7, 321-329. https://doi.org/10.1016/j.envhaz.2007.09.002. REAP Secretariat, 2019. Risk-informed early action partnership (REAP). New York City: UN Climate Action Summit. Red Cross and Red Crescent Societies, 2018. Report: 2nd asia pacific regional dialogue platform on forecast-based financing. Kuala Lumpur: Red Cross and Red Crescent Societies. Robinson, P. J., Botzen, W., & Zhou, F., 2021. An experimental study of charity hazard: The effect of risky and ambiguous government compensation on flood insurance demand. Journal of Risk and Uncertainty, 1-44. Roeckert, J., & Kraehnert, K., 2022. Extreme weather events and internal migration: Evidence from Mongolia. Economics of Disasters and Climate Change, 6, 95–128. https://doi.org/10.1007/s41885-021-00100-8. Sakurai, T., & Reardon, T., 1997. Potential demand for drought insurance in Burkina Faso and its determinants. American Journal of Agricultural Economics, 79, 1193-1207. https://doi.org/10.2307/1244277. Start Network, 2019. Mongolia anticipation of harsh winter: 2018-2019 impact assessment. Ulaanbaatar: Start Network. Stein, D., 2018. Dynamics of demand for rainfall index insurance: Evidence from a commercial product in India. The World Bank Economic Review, 32, 692-708. https://doi.org/10.1093/wber/lhy026. Sternberg, T., 2010. Unravelling Mongolia's extreme winter disaster of 2010. Nomadic Peoples, 14, 72-86. https://doi.org/10.3167. Stoeffler, Q., Carter, M., Guirkinger, C., & Gelade, W., 2022. The spillover impact of index insurance on agricultural investment by cotton farmers in Burkina Faso. The World Bank Economic Review, 36, 114-140. https://doi.org/10.1093/wber/lhab011. Tang, Y., Cai, H., & Liu, R., 2021. Farmers’ demand for informal risk management strategy and weather index insurance: Evidence from China. International Journal of Disaster Risk Science, 12, 281-297. https://doi.org/10.1007/s13753-021-00335-9. Tesselaar, M., Botzen, W. W., Robinson, P. J., Aerts, J. C., & Zhou, F., 2022. Charity hazard and the flood insurance protection gap: An EU scale assessment under climate change. Ecological Economics, 193, 107289. https://doi.org/10.1016/j.ecolecon.2021.107289. United Nations Mongolia Country Team, 2010. Mongolia 2010: Dzud appeal. Ulaanbaatar: United Nations. World Bank, 2016. Mongolia - index-based livestock insurance project. Implementation completation and results report icr00002949. Washington, DC: The World Bank. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/117975 |