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Nudge research in agricultural economics: two-decade retrospective of empirical evidence

Tajana Čop and Mario Njavro

China Agricultural Economic Review, 2024, vol. 16, issue 4, 731-746

Abstract: Purpose - Understanding farmer and consumer behavior is essential to the successful implementation of behavior change interventions. The purpose of this study is to summarize existing research, provide a comprehensive overview of nudge interventions, and identify important trends in behavioral agricultural economics. Research on nudge interventions can help policymakers encourage farmers and consumers to change their behavior in desired direction like switching to organic agriculture or eco-labeled products and promote innovation in sustainable agriculture. Design/methodology/approach - The paper contains a bibliometric analysis of nudge research in general and agricultural economics as well as a literature review of the 53 empirical studies on nudge interventions between 2003 and 2023. Findings - The frequency of nudge research in all research fields and in agricultural economics has increased over the years. This study summarizes nudge interventions that can be used by farmers and consumers on a variety of agricultural economic issues. Information, social norms, and social comparison as nudge interventions are most prominent in the publications, while green nudges have not been researched to a greater extent. Originality/value - This study provides a comprehensive overview of nudge research in agricultural economics with potential for theoretical and policy implications. It highlights potential nudge interventions among farmers and consumers that can be applied in practices.

Keywords: Nudge; Agricultural economics; Behavioral economics; Literature review; Bibliometric analysis (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eme:caerpp:caer-10-2023-0277

DOI: 10.1108/CAER-10-2023-0277

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China Agricultural Economic Review is currently edited by Dr Fu Qin, Dr Jikun Huang, Dr Kevin Z Chen, Dr Weiming Tian, Prof Daniel Sumner, Prof Xian Xin and Prof Holly Wang

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