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Determinants of Iowa Cropland Cash Rental Rates: Testing Ricardian Rent Theory

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Abstract

Based on the Ricardian rent theory, this study employs the variable profit function to analyze the determinants of Iowa cropland cash rental rates using county-level panel data from 1987 to 2005. Accounting for spatial and temporal autocorrelations, responses of local cash rental rates to changes in output prices and other exogenous variables are estimated. We find that Iowa cash rental rates are largely determined by output/input prices, soil quality, relative location, and other county-specific factors. Cash rents go up by $79 for a $1 increase in corn price in the short run. The marginal value of cropland quality, as represented by row-crop corn suitability rating index, is about $1.05. Ethanol plants are not found to have a significant local effect on cash rental rates, impacting local rental markets mainly through the national futures price. Scale of the local livestock industry and adoption of genetically engineered crops have significant impacts on local cash rental rates. In addition, changes in crop output prices are found to have long-run effects on cash rental rates. The long-run change in cash rents is approximately $109-$114 for a $1 change in corn price and is reached in about four years. Our research may be viewed as a test of the Ricardian rent theory. We find limited support for the theory.

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  • Xiaodong Du & David A. Hennessy & William M. Edwards, 2007. "Determinants of Iowa Cropland Cash Rental Rates: Testing Ricardian Rent Theory," Center for Agricultural and Rural Development (CARD) Publications 07-wp454, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    • Handle: RePEc:ias:cpaper:07-wp454
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    2. Gaurav Arora & Peter T. Wolter & Hongli Feng & David A. Hennessy, 2016. "Role of Ethanol Plants in Dakotas Land Use Change: Incorporating Flexible Trends in the Difference-in-Difference Framework with Remotely-Sensed Data," Center for Agricultural and Rural Development (CARD) Publications 16-wp564, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    3. Du Xiaodong & Hennessy David & Edwards William A., 2008. "Does a Rising Biofuels Tide Raise All Boats? A Study of Cash Rent Determinants for Iowa Farmland under Hay and Pasture," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 6(2), pages 1-25, December.
    4. Arora, Gaurav & Wolter, Peter T. & Feng, Hongli & Hennessy, David A., 2015. "Role of Ethanol Plants in Dakotas’ Land Use Change: Analysis Using Remotely Sensed Data," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205877, Agricultural and Applied Economics Association.
    5. Miao, Ruiqing, 2013. "Impact of Ethanol Plants on Local Land Use Change," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 42(2), pages 1-19, August.
    6. Saguatti, Annachiara & Erickson, Kenneth & Gutierrez, Luciano, 2014. "Spatial panel models for the analysis of land prices," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182757, European Association of Agricultural Economists.
    7. Baylis, Katherine R. & Paulson, Nicholas D. & Piras, Gianfranco, 2011. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(3), pages 1-14, August.
    8. Feng, Xiaoguang, 2017. "Three essays on agricultural insurance and farm real estate investment," ISU General Staff Papers 201701010800007133, Iowa State University, Department of Economics.
    9. Ibendahl, Gregory A., 2012. "The Connection Between Cash Rents and Land Values," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 120055, Southern Agricultural Economics Association.
    10. Ibendahl, Gregory & Griffin, Terry, 2013. "The Connection Between Cash Rents and Land Values," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2013, pages 1-9, June.
    11. Junpyo Park, 2022. "Distance to Biorefinery Plants and Its Influence on Agricultural Land Value: Evidence from the United States Midwest Region," Land, MDPI, vol. 11(9), pages 1-14, September.
    12. Zhao, Huan, 2011. "Four Market Studies for the Beef and Electric Power Industries," ISU General Staff Papers 201101010800001360, Iowa State University, Department of Economics.
    13. Saguatti, Annachiara & Erickson, Kenneth & Gutierrez, Luciano, 2014. "Spatial panel models for the analysis of land prices," 2014 Third Congress, June 25-27, 2014, Alghero, Italy 172997, Italian Association of Agricultural and Applied Economics (AIEAA).
    14. Chen, Y. & Chen, K. & Zhong, F., 2018. "Farm Subsidy and Farmland Cash Rent under Rapid Urbanization: Evidence from Chinese Farm Household Panel 2004-2013," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277513, International Association of Agricultural Economists.

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    Keywords

    bargaining; basis; ethanol; land quality shadow price; rate of adjustment; spatial autocorrelation.;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • G1 - Financial Economics - - General Financial Markets
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture

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