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边喝咖啡聊天?卢旺达农艺实践的扩散与市场溢出效应

Chat over coffee? Diffusion of agronomic practices and market spillovers in Rwanda
Journal of Development Economics · 2026 · Esther Duflo、Daniel Keniston、Tavneet Suri、Céline Zipfel

中文摘要

农业推广项目通常只培训一部分农户,并依靠社会网络传播知识。我们通过一项针对卢旺达咖啡种植户的农艺培训项目的两阶段实验,对这一推广方式进行评估。第一阶段在村庄层面随机安排受训者集中度;第二阶段在村内随机选取参与者。该项目提高了农户对所授实践的知识水平及其自报的采纳率,也重塑了农户的社会网络,主要在同期受训者之间建立了新的社会联系。乍看之下,干预效果似乎较为有限:与同村的对照组申请者相比,处理组农户的产量更高,但这一差异在统计上并不显著。然而,知识并未真正扩散:基线时拥有更多处理组朋友的对照组农户,其经核查的实践采纳率与投入品使用反而下降。受训者集中度较高的村庄呈现出负向溢出效应的提示性证据,这与劳动力及其他共享投入品向处理组农户重新配置的机制一致——本文以一个社会联系影响投入品获取的简单模型对此进行了形式化刻画。这些村庄中对照组农户产量的相对下降,正是处理组与对照组之间差异的主要来源,这既引发了对该知识传播策略本身的担忧,也对那些未考虑潜在负向溢出效应的估计结果提出了警示。

Abstract

Agricultural extension programs often train a subset of farmers and rely on social networks for knowledge dissemination. We evaluate this approach through a two-stage experiment of an agronomy training program among Rwandan coffee farmers. The first stage randomized trainee concentration at the village level; the second randomly selected participants within villages. The program increased knowledge and self-reported adoption of the taught practices. It also reshaped farmers’ social networks by creating new social ties primarily among co-trainees. At first glance, the intervention appeared modestly effective, with treated farmers exhibiting higher yields than control applicants within the same village, although this difference is not statistically significant. However, knowledge did not diffuse, and control farmers with more treatment friends at baseline reduced audited adoption and input use. Villages with high trainee concentrations showed suggestive evidence of negative spillovers, consistent with reallocation of labor and other shared inputs toward treated farmers, as formalized in a simple model in which social ties shape access to inputs. Relative declines in the yields of control farmers in these villages account for treatment-control differences, raising concerns both about this dissemination strategy and estimates that fail to consider potential negative spillovers.
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