IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v167y2021i1d10.1007_s10584-021-03154-5.html
   My bibliography  Save this article

On the evaluation of heterogeneous climate change impacts on US agriculture: does group membership matter?

Author

Listed:
  • Chang Cai

    (University of Illinois at Urbana-Champaign)

  • Sandy Dall’Erba

    (University of Illinois at Urbana-Champaign)

Abstract

The Ricardian literature has only a handful of contributions addressing the presence of spatial heterogeneity in the marginal effects of climate change on agriculture. Although the majority of these studies offer models with group-specific slope parameters to account for spatial heterogeneity, large discrepancies on which grouping should be preferred still exist. This paper evaluates the extent to which expected future agricultural profits is sensitive to the four pre-determined groupings currently used in the literature. The results indicate that accounting for grouping uncertainty greatly increases the confidence interval around projected climate impacts. In addition, we do not find that one type of grouping is superior to any other. We suggest two potential solutions and emphasize the importance of explicitly controlling for grouping uncertainty in future studies.

Suggested Citation

  • Chang Cai & Sandy Dall’Erba, 2021. "On the evaluation of heterogeneous climate change impacts on US agriculture: does group membership matter?," Climatic Change, Springer, vol. 167(1), pages 1-23, July.
    • Handle: RePEc:spr:climat:v:167:y:2021:i:1:d:10.1007_s10584-021-03154-5
    DOI: 10.1007/s10584-021-03154-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10584-021-03154-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10584-021-03154-5?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
    ---><---

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

    References listed on IDEAS

    as
    1. Davidson, Russell & MacKinnon, James G, 1981. "Several Tests for Model Specification in the Presence of Alternative Hypotheses," Econometrica, Econometric Society, vol. 49(3), pages 781-793, May.
    2. Anthony C. Fisher & W. Michael Hanemann & Michael J. Roberts & Wolfram Schlenker, 2012. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather: Comment," American Economic Review, American Economic Association, vol. 102(7), pages 3749-3760, December.
    3. Liangjun Su & Zhentao Shi & Peter C. B. Phillips, 2016. "Identifying Latent Structures in Panel Data," Econometrica, Econometric Society, vol. 84, pages 2215-2264, November.
    4. Maurice J. G. Bun & Teresa D. Harrison, 2019. "OLS and IV estimation of regression models including endogenous interaction terms," Econometric Reviews, Taylor & Francis Journals, vol. 38(7), pages 814-827, August.
    5. Wolfram Schlenker & W. Michael Hanemann & Anthony C. Fisher, 2006. "The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 113-125, February.
    6. Garth Heutel & Nolan H. Miller & David Molitor, 2021. "Adaptation and the Mortality Effects of Temperature across U.S. Climate Regions," The Review of Economics and Statistics, MIT Press, vol. 103(4), pages 740-753, October.
    7. Stefan Wager & Susan Athey, 2018. "Estimation and Inference of Heterogeneous Treatment Effects using Random Forests," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
    8. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-771, September.
    9. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2014. "Spatial lag models with nested random effects: An instrumental variable procedure with an application to English house prices," Journal of Urban Economics, Elsevier, vol. 80(C), pages 76-86.
    10. Christopher R. Knittel & Samuel Stolper, 2019. "Using Machine Learning to Target Treatment: The Case of Household Energy Use," NBER Working Papers 26531, National Bureau of Economic Research, Inc.
    11. Sandy Dall'erba & Francina Domínguez, 2016. "The Impact of Climate Change on Agriculture in the Southwestern United States: The Ricardian Approach Revisited," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(1), pages 46-66, March.
    12. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    13. Philippe Aghion & Peter Howitt & David Mayer-Foulkes, 2005. "The Effect of Financial Development on Convergence: Theory and Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 173-222.
    14. Richard M. Adams, 1989. "Global Climate Change and Agriculture: An Economic Perspective," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(5), pages 1272-1279.
    15. Plantinga, Andrew J. & Lubowski, Ruben N. & Stavins, Robert N., 2002. "The effects of potential land development on agricultural land prices," Journal of Urban Economics, Elsevier, vol. 52(3), pages 561-581, November.
    16. Goodman, Allen C & Dubin, Robin A, 1990. "Sample Stratification with Non-nested Alternatives: Theory and a Hedonic Example," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 168-173, February.
    17. Herbert Brücker & Boriss Siliverstovs, 2006. "On the estimation and forecasting of international migration: how relevant is heterogeneity across countries?," Empirical Economics, Springer, vol. 31(3), pages 735-754, September.
    18. Millner, Antony & McDermott, Thomas K. J., 2016. "Model confirmation in climate economics," LSE Research Online Documents on Economics 67122, London School of Economics and Political Science, LSE Library.
    19. Robert O. Mendelsohn & Emanuele Massetti, 2017. "The Use of Cross-Sectional Analysis to Measure Climate Impacts on Agriculture: Theory and Evidence," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 11(2), pages 280-298.
    20. Elodie Blanc & Wolfram Schlenker, 2017. "The Use of Panel Models in Assessments of Climate Impacts on Agriculture," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 11(2), pages 258-279.
    21. Burke, M. & Craxton, M. & Kolstad, C.D. & Onda, C. & Allcott, H. & Baker, E. & Barrage, L. & Carson, R. & Gillingham, K. & Graff-Zivin, J. & Greenstone, M. & Hallegatte, S. & Hanemann, W.M. & Heal, G., 2016. "Opportunities for advances in climate change economics," ISU General Staff Papers 3565, Iowa State University, Department of Economics.
    22. Samuel Fankhauser & Nicholas Stern, 2016. "Climate change, development, poverty and economics," GRI Working Papers 253, Grantham Research Institute on Climate Change and the Environment.
    23. Helmut Herwartz & Fang Xu, 2009. "Panel data model comparison for empirical saving-investment relations," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 803-807.
    24. Marshall Burke & John Dykema & David B. Lobell & Edward Miguel & Shanker Satyanath, 2015. "Incorporating Climate Uncertainty into Estimates of Climate Change Impacts," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 461-471, May.
    25. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    26. Miller, Steve, 2020. "Causal forest estimation of heterogeneous and time-varying environmental policy effects," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    27. Robert Mendelsohn & Ariel Dinar, 2003. "Climate, Water, and Agriculture," Land Economics, University of Wisconsin Press, vol. 79(3), pages 328-341.
    28. Alan Barreca & Karen Clay & Olivier Deschenes & Michael Greenstone & Joseph S. Shapiro, 2016. "Adapting to Climate Change: The Remarkable Decline in the US Temperature-Mortality Relationship over the Twentieth Century," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 105-159.
    29. Sandy Dall'Erba & Zhangliang Chen & Noé J. Nava, 2021. "U.S. Interstate Trade Will Mitigate the Negative Impact of Climate Change on Crop Profit," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1720-1741, October.
    30. Jonathan M.V. Davis & Sara B. Heller, 2017. "Using Causal Forests to Predict Treatment Heterogeneity: An Application to Summer Jobs," American Economic Review, American Economic Association, vol. 107(5), pages 546-550, May.
    31. Solomon Hsiang, 2016. "Climate Econometrics," Annual Review of Resource Economics, Annual Reviews, vol. 8(1), pages 43-75, October.
    32. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    33. Pesaran, M. Hashem, 2015. "Time Series and Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780198759980.
    34. Roy Darwin, 1999. "The Impact of Global Warming on Agriculture: A Ricardian Analysis: Comment," American Economic Review, American Economic Association, vol. 89(4), pages 1049-1052, September.
    35. Burke, M & Craxton, M & Kolstad, CD & Onda, C & Allcott, H & Baker, E & Barrage, L & Carson, R & Gillingham, K & Graf-Zivin, J & Greenstone, M & Hallegatte, S & Hanemann, WM & Heal, G & Hsiang, S & Jo, 2016. "Opportunities for advances in climate change economics," University of California at Santa Barbara, Recent Works in Economics qt4tc5d9pb, Department of Economics, UC Santa Barbara.
    36. Solomon M. Hsiang, 2016. "Climate Econometrics," NBER Working Papers 22181, National Bureau of Economic Research, Inc.
    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. Xun Su & Minpeng Chen, 2022. "Econometric Approaches That Consider Farmers’ Adaptation in Estimating the Impacts of Climate Change on Agriculture: A Review," Sustainability, MDPI, vol. 14(21), pages 1-23, October.

    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. Cui, Xiaomeng & Zhong, Zheng, 2024. "Climate change, cropland adjustments, and food security: Evidence from China," Journal of Development Economics, Elsevier, vol. 167(C).
    2. Cristina Cattaneo & Emanuele Massetti, 2019. "Does Harmful Climate Increase Or Decrease Migration? Evidence From Rural Households In Nigeria," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 1-36, November.
    3. Cui, Xiaomeng, 2020. "Climate change and adaptation in agriculture: Evidence from US cropping patterns," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    4. Pierre Mérel & Matthew Gammans, 2021. "Climate Econometrics: Can the Panel Approach Account for Long‐Run Adaptation?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1207-1238, August.
    5. Charles D. Kolstad & Frances C. Moore, 2020. "Estimating the Economic Impacts of Climate Change Using Weather Observations," Review of Environmental Economics and Policy, University of Chicago Press, vol. 14(1), pages 1-24.
    6. Emediegwu, Lotanna E. & Ubabukoh, Chisom L., 2023. "Re-examining the impact of annual weather fluctuations on global livestock production," Ecological Economics, Elsevier, vol. 204(PA).
    7. Olper, Alessandro & Maugeri, Maurizio & Manara, Veronica & Raimondi, Valentina, 2021. "Weather, climate and economic outcomes: Evidence from Italy," Ecological Economics, Elsevier, vol. 189(C).
    8. Emediegwu, Lotanna E. & Wossink, Ada & Hall, Alastair, 2022. "The impacts of climate change on agriculture in sub-Saharan Africa: A spatial panel data approach," World Development, Elsevier, vol. 158(C).
    9. Richard S.J. Tol, 2020. "The Economic Impact of Weather and Climate," Video Library 2094, Department of Economics, University of Sussex Business School.
    10. Auffhammer, Maximilian, 2022. "Climate Adaptive Response Estimation: Short and long run impacts of climate change on residential electricity and natural gas consumption," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
    11. Bento, Antonio M. & Miller, Noah & Mookerjee, Mehreen & Severnini, Edson, 2023. "A unifying approach to measuring climate change impacts and adaptation," Journal of Environmental Economics and Management, Elsevier, vol. 121(C).
    12. Santeramo, Fabio Gaetano & Bozzola, Martina & Lamonaca, Emilia, 2020. "Impacts of Climate Change on Global Agri-Food Trade," 2019: Recent Advances in Applied General Equilibrium Modeling: Relevance and Application to Agricultural Trade Analysis, December 8-10, 2019, Washington, DC 339375, International Agricultural Trade Research Consortium.
    13. Taraz, Vis, 2018. "Can farmers adapt to higher temperatures? Evidence from India," World Development, Elsevier, vol. 112(C), pages 205-219.
    14. Kahn, Matthew E. & Mohaddes, Kamiar & Ng, Ryan N.C. & Pesaran, M. Hashem & Raissi, Mehdi & Yang, Jui-Chung, 2021. "Long-term macroeconomic effects of climate change: A cross-country analysis," Energy Economics, Elsevier, vol. 104(C).
    15. Bassino, Jean-Pascal & Lagoarde-Segot, Thomas & Woitek, Ulrich, 2020. "The irreversible welfare cost of climate anomalies. Evidence from Japan (1872-1917)," Discussion Paper Series 704, Institute of Economic Research, Hitotsubashi University.
    16. repec:ags:aaea22:335469 is not listed on IDEAS
    17. Mullins, Jamie T. & White, Corey, 2019. "Temperature and mental health: Evidence from the spectrum of mental health outcomes," Journal of Health Economics, Elsevier, vol. 68(C).
    18. Bigelow, Daniel P. & Zhang, Hongliang, 2018. "Supplemental irrigation water rights and climate change adaptation," Ecological Economics, Elsevier, vol. 154(C), pages 156-167.
    19. Steven J. Dundas & Roger H. von Haefen, 2021. "The importance of data structure and nonlinearities in estimating climate impacts on outdoor recreation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2053-2075, July.
    20. Newell, Richard G. & Prest, Brian C. & Sexton, Steven E., 2021. "The GDP-Temperature relationship: Implications for climate change damages," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    21. Kaixing Huang, 2015. "The Economic Impacts of Global Warming on Agriculture: the Role of Adaptation," School of Economics and Public Policy Working Papers 2015-20, University of Adelaide, School of Economics and Public Policy.

    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:spr:climat:v:167:y:2021:i:1:d:10.1007_s10584-021-03154-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.