Farmers' green technology adoption: Implications from government subsidies and information sharing

IF 1.9 4区 管理学 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Naval Research Logistics Pub Date : 2023-09-26 DOI:10.1002/nav.22150
Xianpei Hong, Ying‐Ju Chen, Yeming Gong, Hua Wang
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Abstract

Abstract While the previous literature on green technology adoption has not fully considered information sharing, we consider the impact of demand information sharing on the adoption of green technologies by risk‐averse farmers in a vertical agricultural supply chain. We find that government subsidies and information sharing do not always promote farmers' adoption of green technologies. The accuracy of the information plays a vital role in promoting farmers' adoption of green technologies; however, the increased green technology adoption induced by more accurate information may be detrimental to farmer welfare in the presence of production diseconomies. Information sharing can reduce the amount of government subsidies for promoting green technology adoption, thereby suggesting the substitutable role of information and monetary instruments. Nonetheless, information‐sharing may lead to lower water savings and thus should be adopted with caution. Risk aversion has a nontrivial impact on agricultural technology adoption: farmers are more likely to adopt traditional agricultural technologies when their risk aversion is either very low or very high. Finally, we validate our decision model with U.S. Department of Agriculture cotton production data and propose management insights to help farmers make appropriate adoption decisions under information asymmetry and risk‐averse attitudes.
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农民采用绿色技术:来自政府补贴和信息共享的影响
摘要以往关于绿色技术采用的文献并未充分考虑信息共享,本文考虑了垂直农业供应链中需求信息共享对风险厌恶型农民采用绿色技术的影响。我们发现政府补贴和信息共享并不总是促进农民采用绿色技术。信息的准确性对促进农民采用绿色技术起着至关重要的作用;然而,在生产不经济的情况下,由更准确的信息引起的绿色技术采用的增加可能不利于农民的福利。信息共享可以减少政府对促进绿色技术采用的补贴,从而表明信息和货币工具的替代作用。然而,信息共享可能会降低节水,因此应该谨慎采用。风险厌恶对农业技术采用具有重要影响:当农民的风险厌恶程度非常低或非常高时,他们更有可能采用传统农业技术。最后,我们用美国农业部的棉花生产数据验证了我们的决策模型,并提出了管理见解,以帮助农民在信息不对称和风险厌恶态度下做出适当的采用决策。
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来源期刊
Naval Research Logistics
Naval Research Logistics 管理科学-运筹学与管理科学
CiteScore
4.20
自引率
4.30%
发文量
47
审稿时长
8 months
期刊介绍: Submissions that are most appropriate for NRL are papers addressing modeling and analysis of problems motivated by real-world applications; major methodological advances in operations research and applied statistics; and expository or survey pieces of lasting value. Areas represented include (but are not limited to) probability, statistics, simulation, optimization, game theory, quality, scheduling, reliability, maintenance, supply chain, decision analysis, and combat models. Special issues devoted to a single topic are published occasionally, and proposals for special issues are welcomed by the Editorial Board.
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