Mutual proximity and heterogeneity in peer effects of farmers' technology adoption: evidence from China's soil testing and formulated fertilization program

比例(比率) 有序概率单位 业务 政府(语言学) 营销 中国 Probit模型 独创性 同侪效应 多元概率模型 经济 农业经济学 计量经济学 心理学 地理 社会心理学 语言学 哲学 地图学 考古 创造力
作者
Zhigang Xu,Kerong Zhang,Li Zhou,Ying Rui-yao
出处
期刊:China Agricultural Economic Review [Emerald (MCB UP)]
卷期号:14 (2): 395-415 被引量:16
标识
DOI:10.1108/caer-10-2020-0250
摘要

Purpose While the peer effects of technology adoption are well established, few studies have considered the variation in peer effects resulting from the mutual proximity between leaders and followers and the heterogeneity of farmers' learning technology. This study addresses the gap in the literature by analyzing the peer effects of technology adoption among Chinese farmers. Design/methodology/approach Drawing on a government-led soil testing and formulated fertilization program, this study uses survey data of farmers from three Chinese provinces to examine the peer effects of technology adoption. This study uses a probit model to examine how mutual proximity influences peer effects and their heterogeneity. Accordingly, farmers were divided into two groups, namely small- and large-scale farmers, and then into leaders or followers depending on whether they were selected by the government as model farmers. Findings Both small- and large-scale farmers are more likely to use formula fertilizer if their peers do so. However, a large-scale farmer is more likely to adopt formula fertilizer if the average adoption behavior of other large-scale model (leader) farmers is higher, while a small-scale farmer is more likely to adopt formula fertilizer if other small-scale non-model (follower) farmers have higher average adoption behavior. Moreover, the peer effect was weakened by geographic distance among small-scale farmers and by economic distance among large-scale farmers. Originality/value This study elucidates the means of optimizing social learning and technology adoption among farmers.

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