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Three essays on crop yield, crop insurance and climate change

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  • Li, Lisha

Abstract

The main subject of this dissertation includes the study of the impact of weather on crop yields and developing crop revenue insurance product. The dissertation limits its analysis to the state of Iowa because it's a critical corn production area in the United States. Chapter 2 introduced a dynamic linear model to measure weather-adjusted trends in Iowa corn yields. The weather factors consist of the amount of rainfall, temperature and a measurement of soil moisture. Results show a significant improved yield growth in the 1990s, controlling for the impact of weather. Results also indicate that the critical temperature varies across the state of Iowa. The critical temperature is higher in the areas of the state with higher soil quality and is most suitable to grow corn. Chapter 3 develops a long-term corn revenue insurance product that provides crop growers with yield or revenue protection for as long as five years into the future. The premium rates are calculated at both county and farm level. Chapter 4 estimates the impact of projected climate change on Iowa corn yield. The climate projection indicates a significant increase in the daily maximum temperature in July, whereas a significant increment trend is not found in the amount of rainfall during June to August. Controlling for the uncertainty in yield projection, results indicate that projected climate change will cause a statewide reduction of corn yield by 10% at the end of this century. Controlling for uncertainty in climate projection and allowing for uncertainty in yield projections, results show that projected climate change reduces Iowa corn yield by 9%.

Suggested Citation

  • Li, Lisha, 2015. "Three essays on crop yield, crop insurance and climate change," ISU General Staff Papers 201501010800005371, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genstf:201501010800005371
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    References listed on IDEAS

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    1. Paul Gallagher, 1987. "U.S. Soybean Yields: Estimation and Forecasting with Nonsymmetric Disturbances," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(4), pages 796-803.
    2. Richard E. Just & Quinn Weninger, 1999. "Are Crop Yields Normally Distributed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(2), pages 287-304.
    3. Gallagher, Paul W., 1987. "U.S. Soybean Yields: Estimation and Forecasting with Non-Symmetric Disturbances," Staff General Research Papers Archive 10779, Iowa State University, Department of Economics.
    4. Mallory, Mindy L. & Irwin, Scott H. & Hayes, Dermot J., 2012. "How market efficiency and the theory of storage link corn and ethanol markets," Energy Economics, Elsevier, vol. 34(6), pages 2157-2166.
    5. Richard L. Peterson & Christopher K. Ma & Robert J. Ritchey, 1992. "Dependence in commodity prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 12(4), pages 429-446, August.
    6. Jin, Na, 2011. "Three essays on commodity futures and options markets," ISU General Staff Papers 201101010800001428, Iowa State University, Department of Economics.
    7. Na Jin & Sergio Lence & Chad Hart & Dermot Hayes, 2012. "The Long-Term Structure of Commodity Futures," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(3), pages 718-735.
    8. Ardian Harri & Cumhur Erdem & Keith H. Coble & Thomas O. Knight, 2009. "Crop Yield Distributions: A Reconciliation of Previous Research and Statistical Tests for Normality," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(1), pages 163-182.
    9. Mallory, Mindy L. & Irwin, Scott H. & Hayes, Dermot J., 2012. "How Market Efficiency and the Theory of Storage Link Corn and Ethanol Markets Energy Economics," ISU General Staff Papers 201211010700001537, Iowa State University, Department of Economics.
    10. Foote, Richard J. & Bean, Louis H., 1951. "Are Yearly Variations in Crop Yield Really Random?," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 3(1), pages 1-8, January.
    11. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    12. Schwartz, Eduardo S, 1997. "The Stochastic Behavior of Commodity Prices: Implications for Valuation and Hedging," Journal of Finance, American Finance Association, vol. 52(3), pages 923-973, July.
    13. Carl H. Nelson & Paul V. Preckel, 1989. "The Conditional Beta Distribution as a Stochastic Production Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 370-378.
    14. Carl H. Nelson, 1990. "The Influence of Distributional Assumptions on the Calculation of Crop Insurance Premia," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 12(1), pages 71-78.
    15. Kenneth M. Menz & Philip Pardey, 1983. "Technology and U.S. Corn Yields: Plateaus and Price Responsiveness," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(3), pages 558-562.
    16. Alan P. Ker & Keith Coble, 2003. "Modeling Conditional Yield Densities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 291-304.
    17. Charles B. Moss & J. S. Shonkwiler, 1993. "Estimating Yield Distributions with a Stochastic Trend and Nonnormal Errors," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 1056-1062.
    18. M. T. Allen & C. K. Ma & R. D. Pace, 1994. "Over‐Reactions In Us Agricultural Commodity Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(2), pages 240-251, May.
    19. Barry K. Goodwin & Alan P. Ker, 1998. "Nonparametric Estimation of Crop Yield Distributions: Implications for Rating Group-Risk Crop Insurance Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 139-153.
    20. Tian Yu & Bruce A. Babcock, 2011. "Estimating Non-linear Weather Impacts on Corn Yield--A Bayesian Approach," Center for Agricultural and Rural Development (CARD) Publications 11-wp522, Center for Agricultural and Rural Development (CARD) at Iowa State University.
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