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Extensive and Intensive Agricultural Supply Response

Author

Listed:
  • Bruce A. Babcock

    (Department of Economics, Iowa State University, Ames, Iowa 50011)

Abstract

Interest in agricultural supply response increased dramatically after model predictions of land use change were used to estimate biofuel greenhouse gas emissions. The models divide crop response into higher yield—the intensive margin—or more land—the extensive margin. Input adjustments are assumed to drive yield response. But most yield changes result from adoption of technology. Regulators and modelers assume that increased harvested area implies conversion of land from forest or pasture to crops. With the notable exception of African countries, recent expansion of harvested area is due to more intensive use of existing agricultural land through multiple cropping and technology improvement. A lack of response at the extensive margin is consistent with inelastic estimates of land use change estimated by using time-series data. Option value is one reason for this inelastic response. Predictions of land use change based on cross-section data imply much higher land use elasticities than are consistent with recent data.

Suggested Citation

  • Bruce A. Babcock, 2015. "Extensive and Intensive Agricultural Supply Response," Annual Review of Resource Economics, Annual Reviews, vol. 7(1), pages 333-348, October.
  • Handle: RePEc:anr:reseco:v:7:y:2015:p:333-348
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    File URL: http://www.annualreviews.org/doi/abs/10.1146/annurev-resource-100913-012424
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    Citations

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    Cited by:

    1. Drivas, Kyriakos & Rozakis, Stelios & Xesfingi, Sofia, 2019. "The effect of house energy efficiency programs on the extensive and intensive margin of lower-income households’ investment behavior," Energy Policy, Elsevier, vol. 128(C), pages 607-615.
    2. 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.
    3. George Philippidis & Heleen Bartelings & John Helming & Robert M’barek & Edward Smeets & Hans Van Meijl, 2018. "The Good, the Bad and the Uncertain: Bioenergy Use in the European Union," Energies, MDPI, vol. 11(10), pages 1-19, October.
    4. Kym Anderson, 2016. "Agricultural Trade, Policy Reforms, and Global Food Security," Palgrave Studies in Agricultural Economics and Food Policy, Palgrave Macmillan, number 978-1-137-46925-0, August.
    5. Henrique Batista de Barros, Pedro & Henrique Leite de Castro , Gustavo & Menezes-Filho, Naercio, 2022. "The human capital effect on productivity and agricultural frontier expansion in Brazil," TD NEREUS 6-2022, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    6. Gohin, Alexandre, 2017. "On the direct, indirect and induced impacts of public policies: The European biofuel case," Working Papers 264955, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    7. Iglesias Pinedo, Wilman J., 2021. "The impact of Renewable Energy Standards on the biomass supply and agricultural land demand in the US Great Plains Region," 2021 Annual Meeting, August 1-3, Austin, Texas 314085, Agricultural and Applied Economics Association.
    8. Alexandre Gohin, 2017. "On the direct, indirect and induced impacts of public policies: The European biofuel case," Working Papers SMART 17-09, INRAE UMR SMART.

    More about this item

    Keywords

    greenhouse gas emissions; land use change; technology adoption; yield increase;
    All these keywords.

    JEL classification:

    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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