Abstract
One of the issues with respect to climate change involves its influence on the distribution of future crop yields. Many studies have been done regarding the effect on the mean of such distributions but few have addressed the effect on variance. Furthermore, those that have been done generally report the variance from crop simulators, not from observations. This paper examines the potential effects of climate change on crop yield variance in the context of current observed yields and then extrapolates to the effects under projected climate change. In particular, maximum likelihood panel data estimates of the impacts of climate on year-to-year yield variability are constructed for the major U.S. agricultural crops. The panel data technique used embodies a variance estimate developed along the lines of the stochastic production function approach suggested by Just and Pope. The estimation results indicate that changes in climate modify crop yield levels and variances in a crop-specific fashion. For sorghum, rainfall and temperature increases are found to increase yield level and variability. On the other hand, precipitation and temperature are individually found to have opposite effects on corn yield levels and variability.
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Adams, R. M., Hurd, B. H., Lenhart, S., and Leary, N.: 1998, 'Effects of Global Climate Change on Agriculture: An Interpretative Review', Clim. Res. 11, 19-30.
Anderson, J. R.: 1973, 'Sparse Data, Climatic Variability, and Yield Uncertainty in Response Analysis', Amer. J. Agric. Econ. 55, 77-82.
Anderson, J. R. and Hazell, P. B. R.: 1987, Variability in Grain Yields: Implications for Agricul-tural Research and Policy in Developing Countries, published for the International Food Policy Research Institute, The Johns Hopkins University Press, Baltimore and London.
Antle, J. M.: 1987, 'Econometric Estimation of Producers' Risk Attitudes', Amer. J. Agric. Econ. 69, 509-522.
Baltagi, B. H.: 1995, Econometric Analysis of Panel Data, John Wiley and Sons, New York, NY.
Baltagi, B. H. and Li, Q.: 1995, 'Testing AR(1) against MA(1) Disturbances in an Error Component Model', J. Econometrics 68, 133-151.
Banerjee, A., Dolado, J., Galbraith, J. W., and Hendry, D. F.: 1993, Co-integration, Error Correction, and the Econometric Analysis of Non-stationary Data, Oxford University Press Inc., New York, NY.
Breusch, T. S. and Pagan, A. R.: 1980, 'The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics', Rev. Econom. Stud. 47, 239-253.
Buccola, S. T. and McCarl, B. A.: 1986, 'Small-sample Evaluation of Mean-variance Production Function Estimators',Amer. J. Agric. Econ. 68, 732-738.
Cane, M. A., Eshel, G., and Buckland, R. W.: 1994, 'Forecasting Zimbabwean Maize Yield Using Eastern Equatorial Pacific Sea Surface Temperature', Nature 370, 204-205
Coakley, J. and Fuertes, A. M.: 1997, 'New Panel Unit Root Tests of PPP', Econom. Lett. 57, 17-22.
Dickey, D. and Fuller, W.: 1981, 'Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root', Econometrica 49, 1057-1072.
Downton, M. W. and Miller, K. A.: 1993, 'The Freeze Risk to Florida Citrus. Part II: Temperature Variability and Circulation Patterns', J. Climate 6, 364-372.
Granger, C. W. J. and Newbold, P.: 1974, 'Spurious Regressions in Economics', J. Econometrics 2, 111-120.
Greene, W. H.: 1997, Econometric Analysis, third edition, Prentice Hall, New Jersey.
Hazell, P. B. R.: 1984, 'Sources of Increased Instability in Indian and U.S. Cereal Production', Amer. J. Agric. Econ. 66, 302-311.
Heimonen, K.: 1999, 'Stationarity of the European Real Exchange Rates-Evidence from Panel Data', Appl. Econ. 31, 673-677.
Honda, Y.: 1985, 'Testing the Error Components Model with the Non-Normal Disturbances', Rev. Econ. Stud. 52, 681-690.
Hurd, B. H.: 1994, 'Yield Response and Production Risk: An Analysis of Integrated Pest Manage-ment in Cotton', J. Agric. Resour. Econ. 19, 313-326.
Im, K. S., Pesaran, M. H., and Shin, Y.: 1997, Testing for Unit Roots in Heterogenous Panels, Working Paper 9526, Department of Applied Economics, University of Cambridge, http://www. econ.cam.ac.uk/faculty/pesaran/lm.pdf.
Just, R. and Pope, R. D.: 1978, 'Stochastic Specification of Production Function and Economic Implications', J. Econometrics 7, 67-86.
Just, R. and Pope, R. D.: 1979, 'Production Function Estimation and Related Risk Considerations', Amer. J. Agric. Econ. 61, 277-284.
Kaylen, M. S. and Koroma, S. S.: 1991, 'Trend, Weather Variables, and the Distribution of U.S. Corn Yields', Rev. Agric. Econ. 13, 249-258.
Levin, A. and Lin, C. F.: 1992, 'Unit Root Tests in Panel Data: Asymptotic and Finite-Sample Properties', unpublished manuscript, University of California, San Diego.
Levin, A. and Lin, C. F.: 1993, 'Unit Root Tests in Panel Data: New Results', Discussion Paper 93-56, University of California, San Diego.
Lewandrowski, J. and Schimmelpfennig, D. E.: 1999, 'Economic Implications of Climate Change for U.S. Agriculture: Assessing Recent Evidence', Land Econ. 75, 39-57.
Love, H. A. and Buccola, S. T.: 1991, 'Joint Risk Preference-Technology Estimation with a Primal System', Amer. J. Agric. Econ. 73, 765-774.
McCarl, B. A. and Rettig, R. B.: 1983, 'Influence of Hatchery Smolt Releases on Adult Salmon Production and its Variability', Can. J. Fisheries Aquatic Sci. 11, 1880-1886.
Mearns, L. O., Rosenzweig, C., and Goldberg, R.: 1996, 'The Effect of Changes in Daily and Interannual Climatic Variability on Ceres-Wheat: A Sensitivity Study', Clim. Change 32, 257-292.
Mearns, L. O., Rosenzweig, C., and Goldberg, R.: 1997, 'Mean and Variance Change in Climate Scenarios: Methods, Agricultural Applications, and Measures of Uncertainty', Clim. Change 35, 367-396.
Mendelsohn, R., Nordhaus, W. D., and Shaw, D.: 1994, 'The Impact of Global Warming on Agriculture: A Ricardian Analysis', Amer. Econ. Rev. 84, 753-771.
Moss, C. B. and Shonkwiler, J. S.: 1993, 'Estimating Yield Distributions with a Stochastic Trend and Nonnormal Errors', Amer. J. Agric. Econ. 75, 1056-1062.
NOAA: 1999, home-page http://ftp.ncdc.noaa.gov/pub/ushcn/.
Park, W. I. and Sinclair, T. R.: 1993, 'Consequences of Climate and Crop Yield Limits on the Distribution of Corn Yields', Rev. Agric. Econ. 15, 483-493.
Phillips, P. C. B.: 1986, 'Understanding Spurious Regressions in Econometrics', J. Econometrics 33, 311-340.
Quah, D.: 1994, 'Exploiting Cross-Section Variation for Unit Root Inference in Dynamic Data', Econom. Lett. 44, 9-19.
Roumasset, J., Rosegrant, M., Chakravorty, U., and Anderson, J.: 1987, 'Fertilizer and Crop Yield Variability: A Review', in Variability in Grain Yields: Implications for Agricultural Research and Policy in Developing Countries, published for the International Food Policy Research Institute, The Johns Hopkins University Press, Baltimore and London, pp. 223-233.
Saha, A., Havenner, A., and Talpaz, H.: 1997, 'Stochastic Production Function Estimation: Small Sample Properties of ML versus FGLS', Appl. Econom. 29, 459-469.
Saha, A., Shumway, C. R., and Talpaz, H.: 1994, 'Joint Estimation of Risk Preference Structure and Technology Using Expo-Power Utility', Amer. J. Agric. Econ. 76, 173-184.
Schimmelpfennig, D. E.: 1996, 'Uncertainty in Economic Models of Climate Change Impacts', Clim. Change 33, 213-234.
Tollini, H. and Seagraves, J. A.: 1970, Actual and Optimal Use of Fertilizer: The Case of Nitrogen on Corn in Eastern North Carolina, Economic Research Report, Department of Economics, North Carolina State University at Raleigh.
USDA-NASS: 1999, Agricultural Statistics 1999, http://www.usda.gov/nass/pubs/agr99/acro99.htm.
United States Global Climate Research Program (USGCRP), National Assessment Team: 2001, Climate Change Impacts on the United States: U.S. National Assessment of the Potential Con-sequences of Climate Variability and Change: Foundation, Cambridge University Press, and http://www.gcrio.org/nationalassessment/.
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Chen, CC., McCarl, B.A. & Schimmelpfennig, D.E. Yield Variability as Influenced by Climate: A Statistical Investigation. Climatic Change 66, 239–261 (2004). https://doi.org/10.1023/B:CLIM.0000043159.33816.e5
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DOI: https://doi.org/10.1023/B:CLIM.0000043159.33816.e5