IDEAS home Printed from https://ideas.repec.org/a/wly/ajagec/v103y2021i5p1759-1782.html
   My bibliography  Save this article

Fields from Afar: Evidence of Heterogeneity in United States Corn Rotational Response from Remote Sensing Data

Author

Listed:
  • Nicholas J. Pates
  • Nathan P. Hendricks

Abstract

We construct estimates of own‐ and cross‐price corn rotation elasticities using a field‐level dataset that accounts for over 83% of the US corn‐producing area. We allow rotational response to vary by estimating separate models across 115 subsamples that we delineate using Major Land Resource Areas (MLRAs) and soil characteristics. The results show a high degree of rotational response heterogeneity. Across the country, we find that rotational response is elastic in some areas and near zero in others. After aggregating the results to the national level, we find that modeling rotational response without allowing for heterogeneity produces a short‐run own‐price elasticity of corn planting of around 0.50, which conforms to the latest estimates in the literature. When allowing heterogeneous price sensitivity, our preferred estimate of the rotation elasticity is 0.69. This is evidence that imposing a uniform rotation response could seriously bias aggregate elasticity estimates.

Suggested Citation

  • Nicholas J. Pates & Nathan P. Hendricks, 2021. "Fields from Afar: Evidence of Heterogeneity in United States Corn Rotational Response from Remote Sensing Data," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1759-1782, October.
    • Handle: RePEc:wly:ajagec:v:103:y:2021:i:5:p:1759-1782
    DOI: 10.1111/ajae.12208
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/ajae.12208
    Download Restriction: no
    File URL: https://libkey.io/10.1111/ajae.12208?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Wang, Tong & Luri, Moses & Janssen, Larry & Hennessy, David A. & Feng, Hongli & Wimberly, Michael C. & Arora, Gaurav, 2017. "Determinants of Motives for Land Use Decisions at the Margins of the Corn Belt," Ecological Economics, Elsevier, vol. 134(C), pages 227-237.
    2. Bruce L. Gardner, 1976. "Futures Prices in Supply Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(1), pages 81-84.
    3. Kanlaya J. Barr & Bruce A. Babcock & Miguel A. Carriquiry & Andre M. Nassar & Leila Harfuch, 2011. "Agricultural Land Elasticities in the United States and Brazil," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(3), pages 449-462.
    4. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    5. Abebayehu Tegene & Wallace E. Huffman & John A. Miranowski, 1988. "Dynamic Corn Supply Functions: A Model with Explicit Optimization," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(1), pages 103-111.
    6. Obafèmi Philippe Koutchadé & Alain Carpentier & Fabienne Femenia, 2018. "Modeling Heterogeneous Farm Responses to European Union Biofuel Support with a Random Parameter Multicrop Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(2), pages 434-455.
    7. Wang, Sun Ling & Heisey, Paul & Schimmelpfennig, David & Ball, Eldon, 2015. "Agricultural Productivity Growth in the United States: Measurement, Trends, and Drivers," Economic Research Report 207954, United States Department of Agriculture, Economic Research Service.
    8. Roger Claassen & Christian Langpap & JunJie Wu, 2017. "Impacts of Federal Crop Insurance on Land Use and Environmental Quality," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 592-613.
    9. Marc Nerlove, 1956. "Estimates of the Elasticities of Supply of Selected Agricultural Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 38(2), pages 496-509.
    10. Hendricks, Nathan P. & Sinnathamby, Sumathy & Douglas-Mankin, Kyle & Smith, Aaron & Sumner, Daniel A. & Earnhart, Dietrich H., 2014. "The environmental effects of crop price increases: Nitrogen losses in the U.S. Corn Belt," Journal of Environmental Economics and Management, Elsevier, vol. 68(3), pages 507-526.
    11. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    12. Kline Patrick & Santos Andres, 2012. "A Score Based Approach to Wild Bootstrap Inference," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 23-41, August.
    13. Ruiqing Miao & Madhu Khanna & Haixiao Huang, 2016. "Responsiveness of Crop Yield and Acreage to Prices and Climate," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(1), pages 191-211.
    14. Mekbib G. Haile & Matthias Kalkuhl & Joachim von Braun, 2016. "Worldwide Acreage and Yield Response to International Price Change and Volatility: A Dynamic Panel Data Analysis for Wheat, Rice, Corn, and Soybeans," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(1), pages 172-190.
    15. Miranowski, John & Orazem, Peter, 1994. "A Dynamic Model of Acreage Allocation with General and Crop-Specific Capital," Staff General Research Papers Archive 10695, Iowa State University, Department of Economics.
    16. Hyunseok Kim & GianCarlo Moschini, 2018. "The Dynamics of Supply: U.S. Corn and Soybeans in the Biofuel Era," Land Economics, University of Wisconsin Press, vol. 94(4), pages 593-613.
    17. JunJie Wu & Richard M. Adams & Catherine L. Kling & Katsuya Tanaka, 2004. "From Microlevel Decisions to Landscape Changes: An Assessment of Agricultural Conservation Policies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 26-41.
    18. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    19. Nathan P. Hendricks & Aaron Smith & Daniel A. Sumner, 2014. "Crop Supply Dynamics and the Illusion of Partial Adjustment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(5), pages 1469-1491.
    20. GianCarlo Moschini & Harvey Lapan & Hyunseok Kim, 2017. "The Renewable Fuel Standard in Competitive Equilibrium: Market and Welfare Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1117-1142.
    21. Michael J. Roberts & Wolfram Schlenker, 2013. "Identifying Supply and Demand Elasticities of Agricultural Commodities: Implications for the US Ethanol Mandate," American Economic Review, American Economic Association, vol. 103(6), pages 2265-2295, October.
    22. Dave Donaldson & Adam Storeygard, 2016. "The View from Above: Applications of Satellite Data in Economics," Journal of Economic Perspectives, American Economic Association, vol. 30(4), pages 171-198, Fall.
    23. Anne Lacroix & Alban Thomas, 2011. "Estimating the Environmental Impact of Land and Production Decisions with Multivariate Selection Rules and Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 780-798.
    24. Mekbib G. Haile & Matthias Kalkuhl & Joachim Braun, 2014. "Inter- and intra-seasonal crop acreage response to international food prices and implications of volatility," Agricultural Economics, International Association of Agricultural Economists, vol. 45(6), pages 693-710, November.
    25. David R. Lee & Peter G. Helmberger, 1985. "Estimating Supply Response in the Presence of Farm Programs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(2), pages 193-203.
    26. Brown, Jesslyn F. & Pervez, Md Shahriar, 2014. "Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture," Agricultural Systems, Elsevier, vol. 127(C), pages 28-40.
    27. Mesbah Motamed & Lihong McPhail & Ryan Williams, 2016. "Corn Area Response to Local Ethanol Markets in the United States: A Grid Cell Level Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(3), pages 726-743.
    28. George C. Davis & Maria Cristina Espinoza, 1998. "A Unified Approach to Sensitivity Analysis in Equilibrium Displacement Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(4), pages 868-879.
    29. Peter F. Orazem & John A. Miranowski, 1994. "A Dynamic Model of Acreage Allocation with General and Crop-Specific Soil Capital," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(3), pages 385-395.
    30. Nathan P. Hendricks & Joseph P. Janzen & Aaron Smith, 2015. "Futures Prices in Supply Analysis: Are Instrumental Variables Necessary?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(1), pages 22-39.
    31. Christian Langpap & JunJie Wu, 2011. "Potential Environmental Impacts of Increased Reliance on Corn-Based Bioenergy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(2), pages 147-171, June.
    32. Barr, Kanlaya Jintanakul, 2011. "Agricultural Land Elasticities in the United States and Brazil," Staff General Research Papers Archive 34893, Iowa State University, Department of Economics.
    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. Dilek Uz & Steven Buck & David Sunding, 2022. "Fixed or mixed? Farmer‐level heterogeneity in response to changes in salinity," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1343-1363, August.
    2. Hongli Feng & Tong Wang & David A. Hennessy & Gaurav Arora, 2022. "Over-Perception about Land Use Changes: Assessing Empirical Evidence and Linkage with Decisions and Motivated Beliefs," Land Economics, University of Wisconsin Press, vol. 98(2), pages 254-273.
    3. Nathan P. Hendricks, 2022. "Would farmers benefit from removing more land from production in the next farm bill?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(3), pages 1139-1157, September.
    4. Zhihao Zheng & Yang Gao & Rodolfo M. Nayga & Yinyu Zhao, 2023. "Policy reform and farmers' coping strategies: The case of corn price shocks in Heilongjiang Province of China," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 1135-1156, May.
    5. Sharma, Priyanka & Shanoyan, Aleksan & Yao, Becatien H., 2024. "Effects of On-Farm Diversification on Farm Resilience: Evidence from Kansas," 2024 Annual Meeting, July 28-30, New Orleans, LA 344059, Agricultural and Applied Economics Association.
    6. Zhihao Zheng & Yang Gao & Shida R. Henneberry & Rodolfo M. Nayga, 2023. "Policy reform and farmers' heterogeneous response: Measuring the income effects of corn price shocks," Agribusiness, John Wiley & Sons, Ltd., vol. 39(2), pages 564-585, March.

    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. Hyunseok Kim & GianCarlo Moschini, 2018. "The Dynamics of Supply: U.S. Corn and Soybeans in the Biofuel Era," Land Economics, University of Wisconsin Press, vol. 94(4), pages 593-613.
    2. Md Zabid Iqbal & Bruce A. Babcock, 2018. "Global growing‐area elasticities of key agricultural crops estimated using dynamic heterogeneous panel methods," Agricultural Economics, International Association of Agricultural Economists, vol. 49(6), pages 681-690, November.
    3. 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.
    4. Gouel, Christophe & Laborde, David, 2021. "The crucial role of domestic and international market-mediated adaptation to climate change," Journal of Environmental Economics and Management, Elsevier, vol. 106(C).
    5. Pates, Nicholas J. & Hendricks, Nathan P., 2018. "Estimating Heterogeneous Corn Price Response in the United States," 2018 Annual Meeting, August 5-7, Washington, D.C. 274393, Agricultural and Applied Economics Association.
    6. Hendricks, Nathan P. & Sinnathamby, Sumathy & Douglas-Mankin, Kyle & Smith, Aaron & Sumner, Daniel A. & Earnhart, Dietrich H., 2014. "The environmental effects of crop price increases: Nitrogen losses in the U.S. Corn Belt," Journal of Environmental Economics and Management, Elsevier, vol. 68(3), pages 507-526.
    7. Magrini, Emiliano & Morales-Opazo, Cristian & Balie, Jean, 2014. "Supply response along the value chain in selected SSA countries: the case of grains," 2014: Food, Resources and Conflict, December 7-9, 2014. San Diego, California 197193, International Agricultural Trade Research Consortium.
    8. Hendricks, Nathan P. & Er, Emrah, 2018. "Changes in cropland area in the United States and the role of CRP," Food Policy, Elsevier, vol. 75(C), pages 15-23.
    9. Magrini, Emiliano & Balié, Jean & Morales Opazo, Cristian, 2016. "Price signals and supply responses for staple food crops in SSA countries," DARE Discussion Papers 1601, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    10. Ibirénoyé Romaric Sodjahin & Fabienne Femenia & Obafemi Philippe Koutchade & A. Carpentier, 2022. "On the economic value of the agronomic effects of crop diversification for farmers: estimation based on farm cost accounting data [Valeur économique des effets agronomiques de la diversification de," Working Papers hal-03639951, HAL.
    11. Guilherme DePaula, 2018. "Technology Adoption and the Agricultural Supply Response Function," Center for Agricultural and Rural Development (CARD) Publications 18-wp582, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    12. Austin, K.G. & Jones, J.P.H. & Clark, C.M., 2022. "A review of domestic land use change attributable to U.S. biofuel policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    13. Ahmed, Musa Hasen & Tesfaye, Wondimagegn Mesfin & Gassmann, Franziska, 2022. "Within Growing Season Weather Variability and Land Allocation Decisions: Evidence from Maize Farmers in Ethiopia," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321171, Agricultural Economics Society - AES.
    14. Weng, Weizhe & Cobourn, Kelly M. & Kemanian, Armen R. & Boyle, Kevin J. & Shi, Yuning & Stachelek, Joseph & White, Charles, 2020. "Quantifying Co-Benefits of Water Quality Policies: An Integrated Assessment Model of Nitrogen Management," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304667, Agricultural and Applied Economics Association.
    15. DePaula, Guilherme M., 2018. "Relational Contracts, Technology Adoption, and the Agricultural Supply Response Function," 2018 Annual Meeting, August 5-7, Washington, D.C. 274383, Agricultural and Applied Economics Association.
    16. Yao, Ling & Chen, Qihui & Wu, Laping, 2018. "Heterogeneous supply response: Does high price expectation attenuate the inverse farm size-productivity relationship in China?," 2018 Annual Meeting, August 5-7, Washington, D.C. 274363, Agricultural and Applied Economics Association.
    17. Santeramo, Fabio Gaetano & Di Gioia, Leonardo & Lamonaca, Emilia, 2021. "Price responsiveness of supply and acreage in the EU vegetable oil markets: Policy implications," Land Use Policy, Elsevier, vol. 101(C).
    18. Sung, Jae-hoon & Miranowski, John A., 2016. "Information technologies and field-level chemical use for corn production," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235858, Agricultural and Applied Economics Association.
    19. Ramsey, Steven M. & Bergtold, Jason S. & Heier Stamm, Jessica, 2018. "An Artificial Neural Network Approach to Acreage-Share Modeling," 2018 Annual Meeting, August 5-7, Washington, D.C. 274395, Agricultural and Applied Economics Association.
    20. Ahmed, Musa Hasen & Tesfaye, Wondimagegn & Stephan, Dietrich & Gassmann, Franziska, 2021. "Within Growing Season Weather Variability and Adaptation in Agriculture: Evidence from Cropping Patterns of Ethiopia," 2021 Conference, August 17-31, 2021, Virtual 315056, International Association of Agricultural Economists.

    More about this item

    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:wly:ajagec:v:103:y:2021:i:5:p:1759-1782. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1467-8276 .

    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.