IDEAS home Printed from https://ideas.repec.org/p/ags/aaea14/170512.html
   My bibliography  Save this paper

Climate Change Impacts on the Intensive and Extensive Margins of US Agricultural Land

Author

Listed:
  • McFadden, Jonathan
  • Miranowski, John

Abstract

How does current weather and climate change impact cropland use and allocation? Using 2010 ARMS data on several thousand central US farms, we estimate a two-step model that controls for expected relative prices, local soil characteristics, and self-selection into primary crop. We find that: (i). early-season and late-season temperatures and rainfall are most significant for selection into corn, while mid-season weather impacts soybean selection; (ii). sensitivity to nonlinear weather effects varies substantially within season and across crops; (iii). soil characteristics are important and should be accounted for in climate studies; and (iv). crop switching may occur under mild climate change.

Suggested Citation

  • McFadden, Jonathan & Miranowski, John, "undated". "Climate Change Impacts on the Intensive and Extensive Margins of US Agricultural Land," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170512, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea14:170512
    DOI: 10.22004/ag.econ.170512
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/170512/files/Climate%20Change%20Impacts%20on%20the%20Intensive%20and%20Extensive%20Margins%20of%20US%20Agricultural%20Land.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.170512?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. 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.
    2. Carlo Fezzi & Ian J. Bateman, 2011. "Structural Agricultural Land Use Modeling for Spatial Agro-Environmental Policy Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(4), pages 1168-1188.
    3. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    4. Hendricks, Nathan P. & Peterson, Jeffrey M., 2012. "Fixed Effects Estimation of the Intensive and Extensive Margins of Irrigation Water Demand," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(1), pages 1-19, April.
    5. Michael Hanemann & Xavier Labandeira & José M. Labeaga, 2013. "Energy Demand for Heating: Short Run and Long Run," Working Papers 07-2013, Economics for Energy.
    6. Miranowski, John & Rosburg, Alicia & Aukayanagul, Jittinan, 2013. "US Maize Yield Growth Implications for Ethanol and Greenhouse Gas Emissions," Staff General Research Papers Archive 36116, Iowa State University, Department of Economics.
    7. Ariel Ortiz-Bobea & Richard E. Just, 2013. "Modeling the Structure of Adaptation in Climate Change Impact Assessment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 244-251.
    8. Mansur, Erin T. & Mendelsohn, Robert & Morrison, Wendy, 2008. "Climate change adaptation: A study of fuel choice and consumption in the US energy sector," Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 175-193, March.
    9. Robert Mendelsohn & Ariel Dinar, 2009. "Land Use and Climate Change Interactions," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 309-332, September.
    10. 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.
    11. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    12. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    13. Ortiz-Bobea, Ariel, 2013. "Is Weather Really Additive in Agricultural Production? Implications for Climate Change Impacts," RFF Working Paper Series dp-13-41, Resources for the Future.
    14. Richard Hornbeck & Pinar Keskin, 2014. "The Historically Evolving Impact of the Ogallala Aquifer: Agricultural Adaptation to Groundwater and Drought," American Economic Journal: Applied Economics, American Economic Association, vol. 6(1), pages 190-219, January.
    15. Emanuele Massetti & Robert Mendelsohn & Shun Chonabayashi, 2014. "Using Degree Days to Value Farmland," CESifo Working Paper Series 5148, CESifo.
    16. François Bourguignon & Martin Fournier & Marc Gurgand, 2007. "Selection Bias Corrections Based On The Multinomial Logit Model: Monte Carlo Comparisons," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 174-205, February.
    17. Barrett E. Kirwan, 2009. "The Incidence of U.S. Agricultural Subsidies on Farmland Rental Rates," Journal of Political Economy, University of Chicago Press, vol. 117(1), pages 138-164, February.
    18. Barry K. Goodwin & Ashok K. Mishra, 2005. "Another Look at Decoupling: Additional Evidence on the Production Effects of Direct Payments," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1200-1210.
    19. Rulon D. Pope & Richard E. Just, 2003. "Distinguishing Errors in Measurement from Errors in Optimization," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 348-358.
    20. Carlos D. Mayen & Joseph V. Balagtas & Corinne E. Alexander, 2010. "Technology Adoption and Technical Efficiency: Organic and Conventional Dairy Farms in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 181-195.
    21. Jonathan Kaminski & Iddo Kan & Aliza Fleischer, 2013. "A Structural Land-Use Analysis of Agricultural Adaptation to Climate Change: A Proactive Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(1), pages 70-93.
    22. Seo, S. Niggol & Mendelsohn, Robert, 2008. "An analysis of crop choice: Adapting to climate change in South American farms," Ecological Economics, Elsevier, vol. 67(1), pages 109-116, August.
    23. 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.
    24. Schmertmann, Carl P., 1994. "Selectivity bias correction methods in polychotomous sample selection models," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 101-132.
    25. Newell, Richard G. & Pizer, William A., 2008. "Carbon mitigation costs for the commercial building sector: Discrete-continuous choice analysis of multifuel energy demand," Resource and Energy Economics, Elsevier, vol. 30(4), pages 527-539, December.
    26. -, 2009. "The economics of climate change," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38679, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    27. repec:ags:jrapmc:122312 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    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. McFadden, Jonathan R., 2015. "Essays on climate change adaptation and biotechnologies in U.S. agriculture," ISU General Staff Papers 201501010800005635, Iowa State University, Department of Economics.
    2. Stéphane Couture & Serge Garcia & Arnaud Reynaud, 2009. "Household Energy Choices and Fuelwood Consumption: An Econometric Approach to the French Data," LERNA Working Papers 09.08.284, LERNA, University of Toulouse.
    3. Zhao, Shangwei & Xie, Tian & Ai, Xin & Yang, Guangren & Zhang, Xinyu, 2023. "Correcting sample selection bias with model averaging for consumer demand forecasting," Economic Modelling, Elsevier, vol. 123(C).
    4. Gans, Will & Alberini, Anna & Longo, Alberto, 2013. "Smart meter devices and the effect of feedback on residential electricity consumption: Evidence from a natural experiment in Northern Ireland," Energy Economics, Elsevier, vol. 36(C), pages 729-743.
    5. Zheren Wu, 2010. "Self‐selection and Earnings of Migrants: Evidence from Rural China," Asian Economic Journal, East Asian Economic Association, vol. 24(1), pages 23-44, March.
    6. Abate, Megersa & de Jong, Gerard, 2014. "The optimal shipment size and truck size choice – The allocation of trucks across hauls," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 262-277.
    7. Couture, Stéphane & Garcia, Serge & Reynaud, Arnaud, 2012. "Household energy choices and fuelwood consumption: An econometric approach using French data," Energy Economics, Elsevier, vol. 34(6), pages 1972-1981.
    8. Zhang, Yu, 2013. "Does private tutoring improve students’ National College Entrance Exam performance?—A case study from Jinan, China," Economics of Education Review, Elsevier, vol. 32(C), pages 1-28.
    9. Robert Breunig & Joseph Mercante, 2010. "The Accuracy of Predicted Wages of the Non‐Employed and Implications for Policy Simulations from Structural Labour Supply Models," The Economic Record, The Economic Society of Australia, vol. 86(272), pages 49-70, March.
    10. Mansur, Erin T. & Mendelsohn, Robert & Morrison, Wendy, 2008. "Climate change adaptation: A study of fuel choice and consumption in the US energy sector," Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 175-193, March.
    11. 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.
    12. Breustedt, Gunnar & Schulz, Norbert & Latacz-Lohmann, Uwe, 2013. "Kalibrierung von Vertragsnaturschutzprogrammen mittels eines zweistufigen Discrete-Choice-Experimentes," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 62(04), pages 1-17, November.
    13. Guaracyane Lima Campelo & João Mário Santos De França & Emerson Luís Lemos Marinho, 2016. "Impacts Of Malnutrition On Labor Productivity: Empirical Evidences In Rural Brazil," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 236, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    14. Sergi Jiménez-Martín & Cristina Prieto, 2012. "The trade-off between formal and informal care in Spain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(4), pages 461-490, August.
    15. Aleksandra Anić & Gorana Krstić, 2019. "What Lies Behind The Gender Wage Gap In Serbia?," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 64(223), pages 137-170, October –.
    16. Barrios, Javier A., 2004. "Generalized sample selection bias correction under RUM," Economics Letters, Elsevier, vol. 85(1), pages 129-132, October.
    17. 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.
    18. Hansen, Henrik & Rand, John & Win, Ngu Wah, 2022. "The gender wage gap in Myanmar: Adding insult to injury?," Journal of Asian Economics, Elsevier, vol. 81(C).
    19. Badi H. Baltagi & Yusuf Soner Başkaya, 2022. "Spatial wage curves for formal and informal workers in Turkey," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-24, December.
    20. Damette, Olivier & Delacote, Philippe & Lo, Gaye Del, 2018. "Households energy consumption and transition toward cleaner energy sources," Energy Policy, Elsevier, vol. 113(C), pages 751-764.

    More about this item

    Keywords

    Environmental Economics and Policy; Land Economics/Use;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:aaea14:170512. 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: AgEcon Search (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.