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Economics of Informed Antibiotic Management and Judicious Use Policies in Animal Agriculture

Author

Listed:
  • Yanan Jia

    (Renmin University of China)

  • David A. Hennessy

    (Iowa State University)

  • Hongli Feng

    (Iowa State University)

Abstract

Antibiotic effectiveness can be viewed as a biological commons since one individual's current use may decrease future effectiveness for everyone else. The value of the biological commons declines when the targeted bacteria develop antibiotic resistance. Antibiotic resistance is a global threat to health and development, causing serious economic damage and loss of human lives. The greatest share of antibiotics is used in livestock production, leading to concerns that such use may threaten human health. While various policies are in place to promote judicious use of antibiotics, their effectiveness is unclear. One key challenge in antibiotics management is the uncertainty surrounding various decisions related to antibiotic use, including whether a suspect case has an infection, how likely an infection will spread, and how effective antibiotics can be if used. We develop a disease management model that incorporates linkages among diagnostic testing decisions, antibiotic use decisions, and alternative treatment costs. We show that many unintended consequences may arise from policies designed to promote judicious antibiotic use. Antibiotics and self-tests are complements (substitutes) whenever antibiotic cost is high (low), implying that a self-test subsidy can plausibly increase expected antibiotic use. With regard to a prescription regulation (PR) that switches an antibiotic from over-the-counter to prescription, we show that while PR can reduce therapeutic antibiotic use as intended it may not achieve the social optimum. In a simple real-world application, we find that PR induces excessive veterinary service demand but does not reduce antibiotic use among typical U.S. dairy farms. PR also leads to the substitution of veterinary services for self-tests in obtaining information. We discuss how our analytical framework can be applied to other contexts, including antibiotics for human use.

Suggested Citation

  • Yanan Jia & David A. Hennessy & Hongli Feng, 2024. "Economics of Informed Antibiotic Management and Judicious Use Policies in Animal Agriculture," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(7), pages 1673-1709, July.
  • Handle: RePEc:kap:enreec:v:87:y:2024:i:7:d:10.1007_s10640-024-00862-1
    DOI: 10.1007/s10640-024-00862-1
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    References listed on IDEAS

    as
    1. Feng, Hongli & Hennessy, David A. & Jia, Yanan & McKendree, Melissa G.S. & Wolf, Christopher, 2018. "Dairy Sector Consolidation, Scale, Automation and Factor Biased Technical Change: Working through “Get Big or Get Out”," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 33(4), November.
    2. Jérôme Adda, 2020. "Preventing the Spread of Antibiotic Resistance," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 255-259, May.
    3. Schelling Thomas C., 2007. "Climate Change: The Uncertainties, the Certainties and What They Imply About Action," The Economists' Voice, De Gruyter, vol. 4(3), pages 1-5, July.
    4. Dagim G. Belay & Tenaw G. Abate & Jørgen Dejgaard Jensen, 2020. "A Montero Auction Mechanism to Regulate Antimicrobial Consumption in Agriculture," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1448-1467, October.
    5. James Rising & Marco Tedesco & Franziska Piontek & David A. Stainforth, 2022. "The missing risks of climate change," Nature, Nature, vol. 610(7933), pages 643-651, October.
    6. Laxminarayan, Ramanan & Weitzman, Martin L., 2002. "On the implications of endogenous resistance to medications," Journal of Health Economics, Elsevier, vol. 21(4), pages 709-718, July.
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    More about this item

    Keywords

    Antibiotic resistance; Biological commons; Information good; Unintended distortions; Precautionary demand; Prescription regulation;
    All these keywords.

    JEL classification:

    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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