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Market-Driven Corn Monocropping in the U.S. Midwest

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  • Wang, Haoying
  • Ortiz-Bobea, Ariel

Abstract

This study examines the market drivers of corn monocropping in the U.S. Midwest by empirically analyzing crop rotation responses to market fluctuation from 2005 to 2014 and the price shock induced by the recent biofuel mandate. We find that the expected market returns for crops have a significant impact on farmers' decisions about monocropping. We also find that corn monocropping is loosely associated with the presence of nearby ethanol plants. This study illustrates the emerging use of high-resolution land cover data to tackle critical agribusiness and agro-environmental policy questions that remain elusive with aggregate data.

Suggested Citation

  • Wang, Haoying & Ortiz-Bobea, Ariel, 2019. "Market-Driven Corn Monocropping in the U.S. Midwest," Agricultural and Resource Economics Review, Cambridge University Press, vol. 48(2), pages 274-296, August.
    • Handle: RePEc:cup:agrerw:v:48:y:2019:i:02:p:274-296_00
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    Cited by:

    1. Haoying Wang & Guohui Wu, 2022. "Modeling discrete choices with large fine-scale spatial data: opportunities and challenges," Journal of Geographical Systems, Springer, vol. 24(3), pages 325-351, July.
    2. 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.

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