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Climate Change, Heat Stress, and U.S. Dairy Production

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  • Key, Nigel D.
  • Sneeringer, Stacy
  • Marquardt, David

Abstract

In the United States, climate change is likely to increase average daily temperatures and the frequency of heat waves, which can reduce meat and milk production in animals. Methods that livestock producers use to mitigate thermal stress—including modifications to animal management or housing—tend to increase production costs and capital expenditures. Dairy cows are particularly sensitive to heat stress, and the dairy sector has been estimated to bear over half of the costs of current heat stress to the livestock industry. In this report, we use operation-level economic data coupled with finely scaled climate data to estimate how the local thermal environment affects U.S. dairies’ effectiveness at producing outputs with a given level of inputs. We use this information to estimate the potential decline in milk production in 2030 resulting from climate change-induced heat stress. For four climate model scenarios, the results indicate modest heat stress-related production declines over the next 20 years, with the largest declines occurring in the South.

Suggested Citation

  • Key, Nigel D. & Sneeringer, Stacy & Marquardt, David, 2014. "Climate Change, Heat Stress, and U.S. Dairy Production," Economic Research Report 186731, United States Department of Agriculture, Economic Research Service.
  • Handle: RePEc:ags:uersrr:186731
    DOI: 10.22004/ag.econ.186731
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    1. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    2. Deep Mukherjee & Boris E. Bravo-Ureta & Albert De Vries, 2013. "Dairy productivity and climatic conditions: econometric evidence from South-eastern United States," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(1), pages 123-140, January.
    3. Ahmad, Munir & Boris E., Bravo-Ureta, 1996. "Technical efficiency measures for dairy farms using panel data: a comparison of alternative model specifications," MPRA Paper 37703, University Library of Munich, Germany.
    4. 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.
    5. Siew Hoon Lim & C.A. Knox Lovell, 2009. "Profit and productivity of US Class I railroads," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 423-442.
    6. Tauer, Loren W., 1998. "Estimates of Individual Dairy Farm Supply Elasticities," Working Papers 179370, Cornell University, Department of Applied Economics and Management.
    7. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    8. Jianpei Li, 2009. "Team production with inequity-averse agents," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 8(2), pages 119-136, August.
    9. Malcolm, Scott A. & Marshall, Elizabeth P. & Aillery, Marcel P. & Heisey, Paul W. & Livingston, Michael J. & Day-Rubenstein, Kelly A., 2012. "Agricultural Adaptation to a Changing Climate: Economic and Environmental Implications Vary by U.S. Region," Economic Research Report 127734, United States Department of Agriculture, Economic Research Service.
    10. Liang, Yijiong & Pokharel, Shaligram & Lim, Geok Hian, 2009. "Pricing used products for remanufacturing," European Journal of Operational Research, Elsevier, vol. 193(2), pages 390-395, March.
    11. Shu-Chun Chang, 2009. "Productivity and territorial specialization," Applied Economics, Taylor & Francis Journals, vol. 41(8), pages 941-945.
    12. repec:zwi:journl:v:57:y:2013:i:1:p:123-140 is not listed on IDEAS
    13. MacDonald, James M. & O'Donoghue, Erik J. & McBride, William D. & Nehring, Richard F. & Sandretto, Carmen L. & Mosheim, Roberto, 2007. "Profits, Costs, and the Changing Structure of Dairy Farming," Economic Research Report 6704, United States Department of Agriculture, Economic Research Service.
    14. Schmit, Todd M. & Dong, Diansheng & Chung, Chanjin & Kaiser, Harry M. & Gould, Brian W., 2002. "Identifying The Effects Of Generic Advertising On The Household Demand For Fluid Milk And Cheese: A Two-Step Panel Data Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(1), pages 1-22, July.
    15. Nigel Key & Stacy Sneeringer, 2014. "Potential Effects of Climate Change on the Productivity of U.S. Dairies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(4), pages 1136-1156.
    16. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    17. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    18. Andreyeva, T. & Long, M.W. & Brownell, K.D., 2010. "The impact of food prices on consumption: A systematic review of research on the price elasticity of demand for food," American Journal of Public Health, American Public Health Association, vol. 100(2), pages 216-222.
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    Cited by:

    1. Hutchins, Jared P. & Nolan, Derek & Skidmore, Marin, 2023. "Extreme Heat and Livestock Production: Costs and Adaptation in the US Dairy Sector," 2023 Annual Meeting, July 23-25, Washington D.C. 335579, Agricultural and Applied Economics Association.
    2. Yousefi-Sahzabi, Amin & Unlu-Yucesoy, Eda & Sasaki, Kyuro & Yuosefi, Hossein & Widiatmojo, Arif & Sugai, Yuichi, 2017. "Turkish challenges for low-carbon society: Current status, government policies and social acceptance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 596-608.
    3. Denis Nadolnyak & Valentina Hartarska & Bretford Griffin, 2019. "The Impacts of Economic, Demographic, and Weather Factors on the Exit of Beginning Farmers in the United States," Sustainability, MDPI, vol. 11(16), pages 1-17, August.
    4. José Henrique Dominguez & Matheus Gomes lopes & Fabrício Amadori Machado & Ederson dos Santos & Fernanda Lopes & Josiane de Oliveira Feijó & Cássio Cassal Brauner & Viviane Rohrig Rabassa & Marcio, 2020. "Body Temperature and Reproductive Performance of Beef Heifers Supplemented With Rumen-Protected Methionine," Journal of Agricultural Studies, Macrothink Institute, vol. 8(3), pages 601-615, September.
    5. Njuki, Eric, 2022. "Sources, Trends, and Drivers of U.S. Dairy Productivity and Efficiency," Economic Research Report 320329, United States Department of Agriculture, Economic Research Service.
    6. Tugba Gurler & Theo Elmer & Yuanlong Cui & Siddig Omer & Saffa Riffat, 2018. "Experimental investigation of a novel PVt/heat pump system for energy-efficient poultry houses," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 13(4), pages 404-413.
    7. Laura C. Bowling & Keith A. Cherkauer & Charlotte I. Lee & Janna L. Beckerman & Sylvie Brouder & Jonathan R. Buzan & Otto C. Doering & Jeffrey S. Dukes & Paul D. Ebner & Jane R. Frankenberger & Benjam, 2020. "Agricultural impacts of climate change in Indiana and potential adaptations," Climatic Change, Springer, vol. 163(4), pages 2005-2027, December.
    8. Jean L. Steiner & David D. Briske & David P. Brown & Caitlin M. Rottler, 2018. "Vulnerability of Southern Plains agriculture to climate change," Climatic Change, Springer, vol. 146(1), pages 201-218, January.
    9. Neumann James E. & Strzepek Kenneth, 2014. "State of the literature on the economic impacts of climate change in the United States," Journal of Benefit-Cost Analysis, De Gruyter, vol. 5(3), pages 411-443, December.
    10. Tatyana Deryugina & Solomon M. Hsiang, 2014. "Does the Environment Still Matter? Daily Temperature and Income in the United States," NBER Working Papers 20750, National Bureau of Economic Research, Inc.
    11. Veltman, Karin & Rotz, C. Alan & Chase, Larry & Cooper, Joyce & Forest, Chris E. & Ingraham, Peter A. & Izaurralde, R. César & Jones, Curtis D. & Nicholas, Robert E. & Ruark, Matthew D. & Salas, Willi, 2021. "Assessing and reducing the environmental impact of dairy production systems in the northern US in a changing climate," Agricultural Systems, Elsevier, vol. 192(C).

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    Keywords

    Environmental Economics and Policy; Livestock Production/Industries;

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