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农户绿色生产技术采用行为及其对收入的影响——以武陵山茶叶主产区为例
引用本文:彭斯,陈玉萍. 农户绿色生产技术采用行为及其对收入的影响——以武陵山茶叶主产区为例[J]. 中国农业大学学报, 2022, 27(2): 243-255
作者姓名:彭斯  陈玉萍
作者单位:中南财经政法大学 工商管理学院, 武汉 430073
基金项目:教育部人文社会科学研究规划基金项目(18YJA790013);国家社会科学基金项目(20BGL249);中南财经政法大学博士研究生科研创新项目(202011008)
摘    要:为了解农户绿色生产技术采用行为,推动农业可持续发展与农民增收.基于武陵山茶叶主产区634个农户调研数据,通过构建Heckman样本选择模型分析农户绿色生产技术采用行为的影响因素,并运用分位数回归模型进一步探讨技术采用行为对农户不同茶叶收入水平的影响及差异.结果表明:1)农户对品种改良、土壤改良与生物农药单项技术的采用率...

关 键 词:技术采用行为  Heckman模型  分位数回归  收入效应
收稿时间:2021-05-17

Farmers' green production technology adoption behavior and its impact on income: Taking the main tea producing area of Wuling Mountain as an example
PENG Si,CHEN Yuping. Farmers' green production technology adoption behavior and its impact on income: Taking the main tea producing area of Wuling Mountain as an example[J]. Journal of China Agricultural University, 2022, 27(2): 243-255
Authors:PENG Si  CHEN Yuping
Affiliation:College of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
Abstract:The aims of this study were to understand farmers'' adoption behavior of green production technology, promote agricultural sustainable development and increase farmers'' income. Based on the survey data of 634 farmers in the main tea producing area of Wuling Mountain, the Heckman sample selection model was constructed to analyze the factors affecting farmers'' green production technology adoption behavior. The quantile regression model was used to further explore the impact of technology adoption behavior on farmers'' different tea income levels. The results show that: 1)The adoption rate of individual technology for variety improvement, soil improvement and biological pesticides is relatively high by farmers, but the overall adoption rate of the three technologies under investigation needs to be improved. 2)There are significant differences in the factors that affect the adoption of green production technology by farmers. Among them, the family size, proportion of farmers, proportion of tea income, technology convenience perception, number of relatives and friends, and accessibility to information have positive impact on farmers'' intention to adopt technology, while age has a negative impact; The education level, technical efficiency cognition, technology or financial support have positive effect on the technology adoption degree of farmers, while the child dependency ratio is the opposite. 3)The technology adoption behavior has a significant role in promoting the increase of farmers'' tea income, and its impact effect shows certain differences due to the different levels of farmers'' tea income. The income-increasing effect of technology adoption behavior on lower income farmers is significantly greater than that of middle and high income farmers, which is conducive to narrow down the income gap between farmers. According to the actual situation of farmers'' technology adoption behavior and its effect on the difference of the income, it is necessary to improve farmers'' awareness of green production technology, promote the intensive and large-scale operation of tea production, increase technical training and fund subsidies, and promote the adoption of green production technology by farmers, so as to strengthen the effect of increasing production and income of technology.
Keywords:technology adoption behavior   Heckman model   quantile regression   income effect
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