Capitanio, Fabian and Adinolfi, Felice and Santeramo, Fabio Gaetano (2015): Environmental implications of crop insurance subsidies in Southern Italy. Forthcoming in: International Journal of Environmental Studies (8 August 2015)
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Abstract
The changing environment affects agriculture introducing sources of uncertainty. On the other hand, policies to cope with risks may have strong impacts on the environment. We evaluate the effects of public risk management programmes, such as subsidised crop insurance, fertilizer use and land allocation to crops. We implement a mathematical programming model of a representative wheat-tomato farm in Puglia, a southern Italy region. The results show that under the current crop insurance programmes, tomato productions are expected to expand and to require larger amount of fertilizer, whereas the opposite is true for wheat productions. Policy and environmental implications are discussed.
Item Type: | MPRA Paper |
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Original Title: | Environmental implications of crop insurance subsidies in Southern Italy |
Language: | English |
Keywords: | uncertainty, risk, insurance, externalities, multifunctionality, environment |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C60 - General D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D81 - Criteria for Decision-Making under Risk and Uncertainty Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q51 - Valuation of Environmental Effects R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R5 - Regional Government Analysis > R58 - Regional Development Planning and Policy |
Item ID: | 60971 |
Depositing User: | Prof. Fabio Gaetano Santeramo |
Date Deposited: | 29 Dec 2014 08:02 |
Last Modified: | 27 Sep 2019 15:19 |
References: | [1] Knox, Jerry, Wade, Stephen, 2012. Assessing climate risks to UK agriculture. Nature Climate Change, 2:6, 378-378. [2] Cafiero, Carlo, Capitanio, Fabian, Cioffi, Antonio, Coppola, Adele, 2007. Risk and Crisis Management in the Reformed European Agricultural Policy. Canadian Journal of Agricultural Economics, 55:4, 419-441. [3] van Asseldonk, M. A., Pietola, K., and Niemi, J. K. (2013). Trade-offs between catastrophic assistance and subsidized insurance in European agriculture. Outlook on Agriculture, Vol.42, No 4, pp. 225-231. [4] Dorling, Stephen, 2014. Managing climate variability in agriculture: Using weather forecasting to support farming adaptation. Outlook on Agriculture, Vol.43:1, 13-18. [5] Zheng, L., Liu, H., 2013. Evaluating multifunctional agriculture in Dalishu, China: A combined application of SWOT analysis and the analytic network process method. Outlook on Agriculture, 42:2, 103-108. [6] Horowitz, Jhon, Lichtenberg, Erik, 1993. Insurance, Moral Hazard, and Chemical Use in Agriculture. American Journal of Agricultural Economics, 75, 926-935. [7] Smith, Vincent, and Goodwin, Barry, 1996. Crop Insurance, Moral Hazard, and Agricultural Chemical Use. American Journal of Agricultural Economics, 78, 428-38. [8] Seo, Sangtaek, Mitchell, Paul, Leatham, David, 2005. Effects of Federal Risk Management Programs on Optimal Acreage Allocation and Nitrogen Use in a Texas Cotton-Sorghum System. Journal of Agricultural and Applied Economics, 37:3, 685-699. [9] Wu, JunJie, 1999. Crop Insurance, Acreage Decisions, and Nonpoint-Source Pollution, American Journal of Agricultural Economics, 81, 305-320. [10] Sorensen, Paul, 2013. Managing adaptation to climate risk: beyond fragmented responses. International Journal of Environmental Studies, 70:4, 665-670. [11] Pope, Rulon, Kramer, Raul, 1979. Production uncertainty and factor demands for the competitive firm. Southern Economic Journal, 46: 489-501. [12] Ahsan, Syed, Ali, Ali, Kurian, Jhon, 1982. Toward a Theory of Agricultural Insurance. American Journal of Agricultural Economics, 64, 520-529. [13] Quiggin, Jhon, 1992. Generalized expected utility theory: The rank dependent model. Springer. [14] Richardson, James, Condra, Gary, 1981. Farm Size Evaluation in the El Paso Valley: A Survival/Success Approach. American Journal of Agricultural Economics 63, 430-437. [15] Hellerstein, Daniel, Higgins, Nathaniel, Horowitz, Jhon, 2013. The predictive power of risk preference measures for farming decisions. European Review of Agricultural Economics, 40:5, 807-833. [16] Goodwin, Barry, Vandeveer, Monte, Deal, Jhon, 2004. An empirical analysis of acreage effects of participation in the federal crop insurance program. American Journal of Agricultural Economics, 86:4, 1058-1077. [17] Santeramo Fabio G., Di Pasquale Jorgelina, Contò Francesco, Tudisca Salvatore, Sgroi Filippo (2012) Analyzing risk management in Mediterranean Countries: The Syrian perspective. New Medit 3, 35-40 [18] Santeramo Fabio G., Capitanio Fabian, Adinolfi Felice (2014) Integrating agricultural risks management strategies in selected EU Partner Countries: Syria, Tunisia, Turkey. Romanian Journal of European Affairs, 14(3), pp.22-35 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/60971 |