IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v97y2015i3p855-878..html
   My bibliography  Save this article

Optimal Sequential Plantings of Corn and Soybeans Under Price Uncertainty

Author

Listed:
  • Michael Livingston
  • Michael J. Roberts
  • Yue Zhang

Abstract

Optimal crop choice and fertilizer applications depend on the stochastic dynamics of commodity prices, fertilizer prices, and the agronomic effects of rotation versus monoculture. The efficient decision rule accounts for real option values associated with maintaining land disposition in an environment with highly uncertain future prices and irreversible past planting decisions. We parameterize a baseline model for a representative acre in Iowa and compare the model's predictions and profits to relatively naive, shorter horizon decision rules, and a field managed with optimal fertilizer applications conditional on corn and soybeans always being rotated. We also examine the effects of a permanently larger premium on corn prices relative to soybean prices, which has been observed in locations near recently established ethanol plants. We then compare the various decision rules to actual crop choices in a panel of over 6,500 Iowa plots during 1979-2007. As compared to less forward-looking objectives, we find the agronomic benefits of rotations coupled with real option values can lead to a more inelastic response of planting decisions to both transitory and permanent price changes. Always rotating, regardless of prices, is close to optimal, but so are shorter-horizon objectives. One implication is that reduced corn monoculture and fertilizer application rates might be implemented with modest incentive payments of $4 per acre or less.

Suggested Citation

  • Michael Livingston & Michael J. Roberts & Yue Zhang, 2015. "Optimal Sequential Plantings of Corn and Soybeans Under Price Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(3), pages 855-878.
  • Handle: RePEc:oup:ajagec:v:97:y:2015:i:3:p:855-878.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ajae/aau055
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Williams,Jeffrey C. & Wright,Brian D., 2005. "Storage and Commodity Markets," Cambridge Books, Cambridge University Press, number 9780521023399.
    2. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    3. Feder, Gershon, 1980. "Farm Size, Risk Aversion and the Adoption of New Technology under Uncertainty," Oxford Economic Papers, Oxford University Press, vol. 32(2), pages 263-283, July.
    4. Feng Song & Jinhua Zhao & Scott M. Swinton, 2011. "Switching to Perennial Energy Crops Under Uncertainty and Costly Reversibility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 764-779.
    5. Oscar R. Burt & M. S. Stauber, 1971. "Economic Analysis of Irrigation in Subhumid Climate," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(1), pages 33-46.
    6. Just, Richard E & Zilberman, David, 1983. "Stochastic Structure, Farm Size and Technology Adoption in Developing Agriculture," Oxford Economic Papers, Oxford University Press, vol. 35(2), pages 307-328, July.
    7. Burt, Oscar R. & Worthington, Virginia E., 1988. "Wheat Acreage Supply Response In The United States," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(1), pages 1-12, July.
    8. Talaat El-Nazer & Bruce A. McCarl, 1986. "The Choice of Crop Rotation: A Modeling Approach and Case Study," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(1), pages 127-136.
    9. Deaton, Angus & Laroque, Guy, 1996. "Competitive Storage and Commodity Price Dynamics," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 896-923, October.
    10. Johansson, Robert & Peters, Mark & House, Robert, 2007. "Regional Environment and Agriculture Programming Model," Technical Bulletins 184314, United States Department of Agriculture, Economic Research Service.
    11. Eckstein, Zvi, 1984. "A Rational Expectations Model of Agricultural Supply," Journal of Political Economy, University of Chicago Press, vol. 92(1), pages 1-19, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sodjahin, Ibirénoyé Honoré Romaric & Féménia, Fabienne & Koutchade, Obafémi Philippe & Carpentier, Alain, 2022. "On the economic value of the agronomic effects of crop diversification for farmers: estimation based on farm cost accounting data," Working Papers 320398, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    2. Stevens, Andrew W., 2018. "Review: The economics of soil health," Food Policy, Elsevier, vol. 80(C), pages 1-9.
    3. Schuurman, Daniel & Weersink, Alfons & Delaporte, Aaron, 2021. "Optimal Sequential Crop Choices for Soil Carbon Management: A Dynamic Programming Approach," 2021 Annual Meeting, August 1-3, Austin, Texas 314042, Agricultural and Applied Economics Association.
    4. Jahantab, Mahboubeh & Abbasi, Babak & Le Bodic, Pierre, 2023. "Farmland allocation in the conversion from conventional to organic farming," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1103-1119.
    5. Arita, Shawn & Cooper, Joseph C. & Gerlt, Scott & Meyer, Seth D. & Thompson, Wyatt & Westhoff, Patrick, 2021. "Agricultural Supply Response under Extreme Market Events and Policy Shocks," 2021 Annual Meeting, August 1-3, Austin, Texas 313930, Agricultural and Applied Economics Association.
    6. Stigler, Matthieu M., 2018. "Supply response at the field-level: disentangling area and yield effects," 2018 Annual Meeting, August 5-7, Washington, D.C. 274343, Agricultural and Applied Economics Association.
    7. Ji, Yongjie & Rabotyagov, sergey & Valcu-Lisman, Adriana, 2015. "Estimating Adoption of Cover Crops Using Preferences Revealed by a Dynamic Crop Choice Model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205799, Agricultural and Applied Economics Association.
    8. Demirdogen, Alper & Guldal, Huseyin Tayyar & Sanli, Hasan, 2023. "Monoculture, crop rotation policy, and fire," Ecological Economics, Elsevier, vol. 203(C).
    9. David Boussios & Paul V. Preckel & Yigezu A. Yigezu & Prakash N. Dixit & Samia Akroush & Hatem Cheikh M'hamed & Mohamed Annabi & Aden Aw‐Hassan & Yahya Shakatreh & Omar Abdel Hadi & Ayed Al‐Abdallat &, 2019. "Modeling producer responses with dynamic programming: a case for adaptive crop management," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 101-111, January.
    10. Stephen E. Chick & Sameer Hasija & Javad Nasiry, 2017. "Information Elicitation and Influenza Vaccine Production," Operations Research, INFORMS, vol. 65(1), pages 75-96, February.
    11. Robert, Marion & Bergez, Jacques-Eric & Thomas, Alban, 2018. "A stochastic dynamic programming approach to analyze adaptation to climate change – Application to groundwater irrigation in India," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1033-1045.
    12. Deininger,Klaus W. & Ali,Daniel Ayalew & Kussul,Nataliia & Lavreniuk,Mykola & Nivievskyi,Oleg, 2020. "Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine," Policy Research Working Paper Series 9306, The World Bank.
    13. Onur Boyabatlı & Javad Nasiry & Yangfang (Helen) Zhou, 2019. "Crop Planning in Sustainable Agriculture: Dynamic Farmland Allocation in the Presence of Crop Rotation Benefits," Management Science, INFORMS, vol. 67(5), pages 2060-2076, May.
    14. Stevens, Andrew, 2015. "Fueling Local Water Pollution: Ethanol Refineries, Land Use, and Nitrate Runoff," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205741, Agricultural and Applied Economics Association.
    15. Stevens, Andrew W., 2021. "Ethanol Refineries and Local Land Use," 2021 Conference, August 17-31, 2021, Virtual 315304, International Association of Agricultural Economists.
    16. Qian, Xiaoyan, 2021. "Production planning and equity investment decisions in agriculture with closed membership cooperatives," European Journal of Operational Research, Elsevier, vol. 294(2), pages 684-699.
    17. Stephen E. Chick & Sameer Hasija & Javad Nasiry, 2017. "Information Elicitation and Influenza Vaccine Production," Operations Research, INFORMS, vol. 65(1), pages 75-96, February.
    18. Yuqiang Wu & Weiwei Guo & Zigong Cai & Yang Tong & Jingpeng Chen, 2023. "Research on Contract Coordination Mechanism of Contract Farming Considering the Green Innovation Level," Sustainability, MDPI, vol. 15(4), pages 1-14, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Richter, Martin & Sørensen, Carsten, 2002. "Stochastic Volatility and Seasonality in Commodity Futures and Options: The Case of Soybeans," Working Papers 2002-4, Copenhagen Business School, Department of Finance.
    2. Colin A. Carter & Gordon C. Rausser & Aaron Smith, 2017. "Commodity Storage and the Market Effects of Biofuel Policies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(4), pages 1027-1055.
    3. He, Xue-Zhong & Westerhoff, Frank H., 2005. "Commodity markets, price limiters and speculative price dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 29(9), pages 1577-1596, September.
    4. Marc Baudry & Edouard Civel & Camille Tévenart, 2023. "Land allocation and the adoption of innovative practices in agriculture: a real option modelling of the underlying hidden costs," EconomiX Working Papers 2023-1, University of Paris Nanterre, EconomiX.
    5. Christophe Gouel, 2012. "Agricultural Price Instability: A Survey Of Competing Explanations And Remedies," Journal of Economic Surveys, Wiley Blackwell, vol. 26(1), pages 129-156, February.
    6. Lionel Richefort & Jean-Louis Fusillier, 2010. "Imitation, rationalité et adoption de technologies d'irrigation améliorées à l'île de la Réunion," Economie & Prévision, La Documentation Française, vol. 0(2), pages 59-73.
    7. Jaime Casassus & Pierre Collin-Dufresne & Bryan R. Routledge, 2005. "Equilibrium Commodity Prices with Irreversible Investment and Non-Linear Technology," NBER Working Papers 11864, National Bureau of Economic Research, Inc.
    8. Seifert, Ralf W. & Thonemann, Ulrich W. & Hausman, Warren H., 2004. "Optimal procurement strategies for online spot markets," European Journal of Operational Research, Elsevier, vol. 152(3), pages 781-799, February.
    9. Colin A. Carter & Gordon C. Rausser & Aaron Smith, 2011. "Commodity Booms and Busts," Annual Review of Resource Economics, Annual Reviews, vol. 3(1), pages 87-118, October.
    10. Anderson, Jock R., 2003. "Risk in rural development: challenges for managers and policy makers," Agricultural Systems, Elsevier, vol. 75(2-3), pages 161-197.
    11. Secomandi, Nicola & Seppi, Duane J., 2014. "Real Options and Merchant Operations of Energy and Other Commodities," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 6(3-4), pages 161-331, July.
    12. Plantinga, Andrew J. & Provencher, Bill, 2001. "Internal Consistency In Models Of Optimal Resource Use Under Uncertainty," 2001 Annual meeting, August 5-8, Chicago, IL 20712, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Evan J. Miller-Tait & Sandeep Mohapatra & M. K. (Marty) Luckert & Brent M. Swallow, 2019. "Processing technologies for undervalued grains in rural India: on target to help the poor?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(1), pages 151-166, February.
    14. Grossmann, Axel & Kim, Jintae, 2022. "The impact of U.S. dollar movements and U.S. dollar states on non-perishable commodity prices," Research in International Business and Finance, Elsevier, vol. 61(C).
    15. Bellon, Mauricio R & Taylor, J Edward, 1993. ""Folk" Soil Taxonomy and the Partial Adoption of New Seed Varieties," Economic Development and Cultural Change, University of Chicago Press, vol. 41(4), pages 763-786, July.
    16. CARPENTIER, Alain & GOHIN, Alexandre & SCKOKAI, Paolo & THOMAS, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 96(1), March.
    17. Roberts, Michael J. & Tran, A. Nam, 2013. "Conditional Suspension of the US Ethanol Mandate using Threshold Price inside a Competitive Storage Model," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150717, Agricultural and Applied Economics Association.
    18. Nicola, Francesca de & De Pace, Pierangelo & Hernandez, Manuel A., 2016. "Co-movement of major energy, agricultural, and food commodity price returns: A time-series assessment," Energy Economics, Elsevier, vol. 57(C), pages 28-41.
    19. Li, J. & Chavas, J.-P., 2018. "How Have China s Agricultural Price Support Policies Affected Market Prices?: A Quantile Regression Evaluation," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277557, International Association of Agricultural Economists.
    20. Kornher, Lukas & Kalkuhl, Matthias, 2013. "Food Price Volatility in Developing Countries and its Determinants," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(4), pages 1-32, November.

    More about this item

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:ajagec:v:97:y:2015:i:3:p:855-878.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.