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Sub-therapeutic Antibiotics and the Efficiency of U.S. Hog Farms

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  • Nigel Key
  • William D. McBride

Abstract

A substantial share of U.S. hog producers incorporate antimicrobial drugs into their livestock's feed or water at sub-therapeutic levels to promote feed efficiency and weight gain. Recently, in response to concerns that the overuse of antibiotics in livestock could promote the development of antimicrobial drug-resistant bacteria, the U.S. Food and Drug Administration adopted a strategy to phase out the use of antibiotics for production purposes. This study uses a stochastic frontier model and data from the 2009 USDA Agricultural Resource Management Survey of feeder-to-finish hog producers to estimate the potential effects on hog output and output variability resulting from a ban on antibiotics used for growth promotion. We use propensity score nearest neighbor matching to create a balanced sample of sub-therapeutic antibiotic (STA) users and nonusers. We estimate the frontier model for the pooled sample and separately for users and non-users-which allows for a flexible interaction between STA use and the production technology. Point estimates for the matched sample indicate that STA use has a small positive effect on productivity and production risk, increasing output by 1.0-1.3% and reducing the standard deviation of unexplained output by 1.4%. The results indicate that improvements in productivity resulted exclusively from technological improvement rather than from an increase in technical efficiency.

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  • Nigel Key & William D. McBride, 2014. "Sub-therapeutic Antibiotics and the Efficiency of U.S. Hog Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(3), pages 831-850.
  • Handle: RePEc:oup:ajagec:v:96:y:2014:i:3:p:831-850.
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    1. William D. McBride & Nigel Key & Kenneth H. Mathews, 2008. "Subtherapeutic Antibiotics and Productivity in U.S. Hog Production," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(2), pages 270-288.
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    5. James M. MacDonald & Sun-Ling Wang, 2011. "Foregoing Sub-therapeutic Antibiotics: the Impact on Broiler Grow-out Operations," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(1), pages 79-98.
    6. Nigel Key & William McBride, 2003. "Production Contracts and Productivity in the U.S. Hog Sector," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 121-133.
    7. 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.
    8. Key, Nigel D. & McBride, William D., 2008. "Do Production Contracts Raise Farm Productivity? An Instrumental Variables Approach," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 37(2), pages 1-12.
    9. Key, Nigel D. & McBride, William D. & Mosheim, Roberto, 2006. "Decomposition of Total Factor Productivity Change in the U.S. Hog Industry, 1992-2004," 2006 Annual meeting, July 23-26, Long Beach, CA 21323, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Subal Kumbhakar & Efthymios Tsionas & Timo Sipiläinen, 2009. "Joint estimation of technology choice and technical efficiency: an application to organic and conventional dairy farming," Journal of Productivity Analysis, Springer, vol. 31(3), pages 151-161, June.
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    Cited by:

    1. Tina L. Saitone & Richard J. Sexton, 2017. "Agri-food supply chain: evolution and performance with conflicting consumer and societal demands," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(4), pages 634-657.
    2. Adelina Gschwandtner & Stefan Hirsch, 2018. "What Drives Firm Profitability? A Comparison of the US and EU Food Processing Industry," Manchester School, University of Manchester, vol. 86(3), pages 390-416, June.
    3. Hennessy, David A. & Zhang, Jing & Bai, Na, 2019. "Animal health inputs, endogenous risk, general infrastructure, technology adoption and industrialized animal agriculture," Food Policy, Elsevier, vol. 83(C), pages 355-362.
    4. McFadden, Jonathan R., 2017. "Yield Maps, Soil Maps, and Technical Efficiency: Evidence from U.S. Corn Fields," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258120, Agricultural and Applied Economics Association.
    5. Sneeringer, Stacy & MacDonald, James & Key, Nigel & McBride, William & Mathews, Ken, 2015. "Economics of Antibiotic Use in U.S. Livestock Production," Economic Research Report 229202, United States Department of Agriculture, Economic Research Service.
    6. Hennessy, David A., 2018. "Managing Derived Demand For Antibiotics In Animal Agriculture," 2018 Annual Meeting, August 5-7, Washington, D.C. 274359, Agricultural and Applied Economics Association.
    7. Wei, Xinjie & Lin, Wanlong & Hennessy, David A., 2015. "Biosecurity and disease management in China’s animal agriculture sector," Food Policy, Elsevier, vol. 54(C), pages 52-64.
    8. repec:ags:aaea16:236057 is not listed on IDEAS
    9. Bauman, Allison & Jablonski, Becca B.R. & Thilmany McFadden, Dawn, 2016. "Evaluating Scale and Technical Efficiency among Farms and Ranches with a Local Market Orientation," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 242364, Agricultural and Applied Economics Association.
    10. Dagim G. Belay & Jørgen D. Jensen, 2022. "Quantitative input restriction and farmers’ economic performance: Evidence from Denmark's yellow card initiative on antibiotics," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 155-171, February.

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