社会网络对果农绿色防控技术采纳行为的影响——以海南省香蕉主产区为例  

The Effects of Social Networks on the Adoption of Green Prevention and Control Technologies by Fruit Farmers--Taking the Main Banana Producing Areas in Hainan Province as an Example

作　　者：苍月 王芳[1] 柯佑鹏[1] 过建春 CANG Yue;WANG Fang;KE Youpeng;GUO Jianchun(School of Management,Hainan University,Haikou 570228;School of Economics and Management,Hainan Normal University,Haikou 571158)

机构地区：[1]海南大学管理学院,海口570228 [2]海南师范大学经济与管理学院,海口571158

出　　处：《林业经济》2023年第4期29-47,共19页Forestry Economics

基　　金：财政部和农业农村部国家现代农业产业技术体系资助项目“香蕉产业经济研究”(编号:CARS-31);国家自然科学基金项目“有限知识视角下农户技术采纳决策的动态仿真与实证研究”(编号:71863006);海南大学人文社科科研创新团队资助项目“数字农业与绿色发展研究”(编号:HDSKTD202007);海南省研究生创新创业课题“社会网络对海南省蕉农绿色生产行为影响研究”(编号:Qhys2021-88)。

摘　　要：探究农户绿色防控技术采纳行为,对制定地方绿色防控技术推广政策、实现农业绿色发展具有重要现实意义。文章基于海南省香蕉主产区453份香蕉种植户的调查数据,将绿色防控技术细化为病株处理技术、生物防治技术、科学用药技术三个方面,运用Probit模型更广泛全面地考察社会网络对果农绿色防控技术采纳行为的影响,采用多变量Probit模型和IV-Probit模型进行稳健性检验,扩展研究社会网络对果农绿色防控技术采纳行为的影响在不同年龄、受教育程度、种植规模的果农群体中的差异。研究结果表明:(1)社会网络的拓展能够显著正向影响果农采纳病株处理技术、生物防治技术以及科学用药技术的积极性,回归系数分别为0.3084、0.5968、0.9473。(2)与亲戚的交流频率显著正向影响果农采纳三种技术,回归系数分别为0.1240、0.3192、0.1336;与朋友的交流频率显著正向影响果农采纳三种技术,回归系数分别为0.1742、0.3629、0.1472;与农技专家、供应链组织的交流频率显著促进果农采纳科学用药技术,回归系数分别为0.2180、0.5691。(3)社会网络对果农绿色防控技术采纳行为的影响存在组群差异。分组回归显示,社会网络对较为年轻、受教育程度较高、种植规模较小的果农绿色防控技术采纳行为的影响更为显著。基于研究结论提出政策启示:搭建技术交流平台,加强果农社会网络的基础设施建设;结合果农个体社会网络特征,制定更全面、贴合的技术推广政策;充分考虑不同年龄、文化程度、种植规模果农的组群差异,满足不同果农群体的技术信息需求。Exploring farmers'green prevention and control technology adoption behavior is of great practical significance for formulating local green prevention and control technology promotion policies and achieving green agricultural development.Based on the survey data of 453 banana farmers in the main banana producing areas of Hainan Province,the paper refined the green prevention and control technologies into three aspects:disease plant treatment technology,biological control technology,and scientific drug application technology,and used the Probit model to examine the influence of social networks on the adoption behavior of green prevention and control technologies of fruit farmers more extensively and comprehensively,followed by the multivariate Probit model and IV-Probit model for robustness testing,and extended to investigate the differences in the influence of social networks on the adoption behavior of green prevention and control technologies among fruit farmers of different age,education level,and planting scale.The results showed that:First,the expansion of social network significantly and positively influenced the adoption of disease treatment technology,biological control technology and scientific medicine technology,with regression coefficients of 0.3084,0.5968 and 0.9473,respectively.Second,the frequency of communication with relatives significantly and positively influenced the adoption of the three technologies by farmers,with regression coefficients of 0.1240,0.3192 and 0.1336,respectively.The frequency of communication with friends significantly and positively influenced the adoption of the three technologies by farmers,with regression coefficients of 0.1742,0.3629,and 0.1472,respectively.The frequency of communication with agronomic experts and supply chain organizations significantly promoted the adoption of scientific medicine technology,with the regression coefficients of 0.2180 and 0.5691,respectively.Third,there were cohort differences in the effects of social networks on the adoption behavior of

关 键 词：社会网络 绿色防控技术 采纳行为 组群差异 PROBIT模型 

分 类 号：S436.68[农业科学—农业昆虫与害虫防治] F326.13[农业科学—植物保护]