Learning about best management practices: Theory and experimentation under the umbrella of crop insurance
Cécile Aubert,
Yann Raineau and
Marc Raynal
European Review of Agricultural Economics, 2026, vol. 53, issue 1, 341-373
Abstract:
Decision Support Systems (DSS) with embedded best management practices help reduce pesticide use. However, costly experimentation is necessary to learn about the quality of their data processing and recommendation models. We study farmers’ choices to try such a DSS. Due to order effects, learning can be inefficient and stop after inadequate recommendations, leading to crop losses. Subsidizing crop insurance conditional on DSS use is a cost-effective policy to foster experimentation. A 4-year living lab on-farm experiment involving French wine cooperatives, an insurer, and researchers supports our theoretical results on learning dynamics and provides additional insight into information requirements for subsidized green insurance.
Keywords: learning about innovations; information; green insurance; pesticides; digital adoption (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1093/erae/jbaf065 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:oup:erevae:v:53:y:2026:i:1:p:341-373.
Ordering information: This journal article can be ordered from
https://academic.oup.com/journals
Access Statistics for this article
European Review of Agricultural Economics is currently edited by Timothy Richards, Salvatore Di Falco, Céline Nauges and Vincenzina Caputo
More articles in European Review of Agricultural Economics from Oxford University Press and the European Agricultural and Applied Economics Publications Foundation Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().