| 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较高，但对所考察的3项技术的整体采用率还有待提高；2)影响农户绿色生产技术采用行为的因素存在显著差异。其中，家庭规模、务农人数比重、茶叶收入占比、技术便利性认知、亲戚朋友数量、信息获取途径均对农户是否采用技术有正向影响，年龄则产生负向影响；文化程度、技术效率认知、技术或资金支持对农户技术采用程度产生正向促进作用，但子女抚养比则相反。3)技术采用行为对农户茶叶收入的提升具有显著促进作用，其影响效应因农户茶叶收入水平的不同而表现出一定的差异性。技术采用行为对较低收入农户的增收效应显著大于中高收入农户，这有利于缩小农户间的收入差距。依据农户技术采用行为的实际状况及其对收入的差异化影响，应从提高农户绿色生产技术认知水平，推动茶叶生产集约化与规模化经营，加大技术培训与资金补贴力度等方面采取有效措施，促进农户绿色生产技术采用，强化技术的增产增收效应。 |
| 关键词: 技术采用行为 Heckman模型 分位数回归 收入效应 |
| DOI：10.11841/j.issn.1007-4333.2022.02.22 |
| 投稿时间：2021-05-17 |
| 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) |
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| 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
|
| (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. |
| Key words: technology adoption behavior Heckman model quantile regression income effect |
