Abstract
Extreme meteorological events have increased over the last decades and it is widely accepted that it is due to climate change (IPCC, Climate Change 2007, Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, 2007; Beniston et al., Clim. Change 81:71–95, 2007). Some of these extremes, like drought or frost episodes, largely affect agricultural outputs, and risk management becomes crucial. The goal of this paper it is to analyze farmers’ decisions about risk management, taking into account climatological and meteorological information. We consider a situation in which the farmer, as part of crop management, has available technology to protect the harvest from weather effects. This approach has been used by Murphy et al. (Mon. Weather Rev. 113:801–813, 1985), Katz and Murphy (J. Forecast. 9:75–86, 1990 and Economic Value of Weather and Climate Forecasts, pp. 183–217, Cambridge University Press, Cambridge, 1997) and others in the case when the farmer maximizes the expected returns. In our model, we introduce the attitude towards risk. Thus we can evaluate how the optimal decision is affected by the absolute risk aversion coefficient of Arrow and Pratt, and compute the economic value of the information in this context, while proposing a measure to estimate the amount of money that the farmer is willing to pay for this information in terms of the certainty equivalent.
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References
Baquet AE, Halter AN, Conklin FS (1976) The value of frost forecasting: a Bayesian appraisal. Am J Agric Econ 58:511–520
Beniston M, Stephenson DB, Christensen OB, Ferro ChAT, Frei C, Goyette S, Halsnaes K, Holt T, Jylha K, Koffi B, Palutikof J, Schoell R, Semmler T, Woth K (2007) Future extreme events in European climate: an exploration of regional climate model projections. Clim Change 81:71–95
Clemen RT (1996) Making hard decisions: an introduction to decision analysis, 2nd edn. Duxbury, Belmont
Gómez-Limón JA, Arriaza M, Riesgo L (2003) An MCDM analysis of agricultural risk aversion. Eur J Oper Res 151:569–585
IPCC (2007) Climate change 2007. Fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge
Katz RW, Murphy AH (1990) Quality/value relationship for imperfect weather forecasts in a prototype multistage decision-making model. J Forecast 9:75–86
Katz RW, Murphy AH (1997) Forecast value: prototype decision-making models. In: Katz RW, Murphy AH (eds) Economic value of weather and climate forecasts. Cambridge University Press, Cambridge, pp 183–217
Keeney RL (1982) Decision analysis: an overview. Oper Res 30:803–838
Lazo JK, Raucher RS, Teisberg TJ, Weiher RF (2007) Primer on economics for national meteorological and hydrological services. US voluntary cooperation program contribution managed by the NWS international activities office and NCAR societal impacts program. National Center for Atmospheric Research, Boulder, Colorado, USA
Mas-Colell A, Whinston MD, Green JR (1995) Choice under uncertainty. Microeconomic theory. Oxford University Press, London, pp 167–197, Chap 6
McNew KP, Mapp HP (1990) Sources and uses of weather information by Oklahoma farmers and ranchers. Okla Curr Farm Econ 63(2):15–30
Meza FJ, Wilks DS, Rihab SJ, Stedingerc JR (2003) Value of perfect forecasts of sea surface temperature anomalies for selected rain-fed agricultural locations of Chile. Agric For Meteorol 116(3–4):7–135
Murphy AH (1977) The value of climatological, categorical and probabilistic forecasts in the cost–loss ratio situation. Mon Weather Rev 105:803–816
Murphy AH, Katz RW, Winkler RL, Hsu W (1985) Repetitive decision making and the value of forecasts in the cost–loss ratio situation: a dynamic model. Month Weather Rev 113:801–813
Palacios-Huerta I, Serrano R (2006) Rejecting small gambles under expected utility. Econ Lett 91:250–259
Raskin R, Cochran MJ (1986) Interpretations and transformations of scale for the Pratt-Arrow absolute risk aversion coefficient: Implications for generalized stochastic dominance. West J Agric Econ 11(2):204–210
Thompson JC (1952) On the operational deficiencies in categorical weather forecasts. Bull Am Meteorol Soc 33:223–226
Thompson JC (1962) Economic gains from scientific advances and operational improvements in meteorological prediction. J Appl Meteorol 1:13–17
Thompson JC, Brier GW (1955) The economic utility of weather forecasts. Mon Weather Rev 83:249–254
Wilks DS (1997) Forecast value: prescriptive decision studies. In: Katz RW, Murphy AH (eds) Economic value of weather and climate forecasts. Cambridge University Press, Cambridge, pp 109–145
Wilks DS, Murphy AH (1985) On the value of seasonal precipitation forecasts in a haying/pasturing problem in western Oregon. Mon Weather Rev 113:1738–1745
Winkler RL, Murphy AH (1985) Decision analysis. In: Murphy AH, Katz RW (eds) Probability, statistics and decision making in the atmospheric sciences. Westview Press, Boulder, pp 493–524
Winkler RL, Murphy AH, Katz RW (1983) The value of climate information: a decision-analytic approach. J Climatol 3:187–197
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Previous version of this paper has been presented in the XIV Jornadas de Asepuma (Badajoz, 2006) and the 22nd European Conference on Operations Research (Prague, 2007). Financial support from the Spanish Ministry of Education (project SEJ2005-05085/ECON) is gratefully acknowledged. We are grateful to J.B. Readman for his linguistic revision of the text. Any error is our responsibility.
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Cerdá Tena, E., Quiroga Gómez, S. Economic value of weather forecasting: the role of risk aversion. TOP 19, 130–149 (2011). https://doi.org/10.1007/s11750-009-0114-3
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DOI: https://doi.org/10.1007/s11750-009-0114-3