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

Yanan Jia, David A. Hennessy, Hongli Feng
{"title":"Economics of Informed Antibiotic Management and Judicious Use Policies in Animal Agriculture","authors":"Yanan Jia, David A. Hennessy, Hongli Feng","doi":"10.1007/s10640-024-00862-1","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":501498,"journal":{"name":"Environmental and Resource Economics","volume":"2014 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental and Resource Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s10640-024-00862-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
畜牧业中知情抗生素管理和合理使用政策的经济学意义
抗生素的有效性可被视为一种生物公域,因为一个人当前的使用可能会降低其他人未来的有效性。当目标细菌产生抗生素耐药性时,生物公地的价值就会下降。抗生素耐药性是对健康和发展的全球性威胁,会造成严重的经济损失和生命损失。抗生素在畜牧业生产中的使用量最大,因此人们担心抗生素的使用可能会威胁人类健康。虽然目前已有各种政策促进合理使用抗生素,但其效果尚不明确。抗生素管理面临的一个主要挑战是与抗生素使用相关的各种决策的不确定性,包括疑似病例是否感染、感染扩散的可能性有多大、使用抗生素的效果如何等。我们建立了一个疾病管理模型,将诊断检测决策、抗生素使用决策和替代治疗成本联系在一起。我们表明,旨在促进合理使用抗生素的政策可能会产生许多意想不到的后果。只要抗生素成本高(低),抗生素和自我检测就是互补(替代)的,这意味着自我检测补贴可以合理地增加预期的抗生素使用量。关于将抗生素从非处方药转为处方药的处方法规(PR),我们的研究表明,虽然处方法规可以按预期减少治疗性抗生素的使用,但它可能无法实现社会最优。在一个简单的实际应用中,我们发现 PR 会诱发过度的兽医服务需求,但并不会减少美国典型奶牛场的抗生素使用量。公关还导致在获取信息时以自我检测代替兽医服务。我们讨论了如何将我们的分析框架应用于其他情况,包括人用抗生素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Why Local Governments Set Climate Targets: Effects of City Size and Political Costs A Lost Opportunity? Environmental Investment Tax Incentive and Energy Efficient Technologies Escaping the Energy Poverty Trap: Policy Assessment Carbon Leakage from Fuel Taxes: Evidence from a Natural Experiment Exogenous Hazard Rates and Precautionary Behaviour in Resource Economic Dynamics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1