Learning about best management practices: Theory and experimentation under the umbrella of crop insurance
研究农民尝试使用嵌入最佳管理实践的决策支持系统（DSS）的决策，发现由于顺序效应，学习可能低效并因不当建议而停止，导致作物损失。将作物保险补贴与DSS使用挂钩是促进实验的成本效益政策。
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.