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农户绿色防控技术采纳意愿及其影响因素研究——基于湖南省长沙市348个农户的调查数据
刘洋1, 熊学萍2, 刘海清3, 刘恩平3
0
(1.湖南农业大学 经济学院, 长沙 410128;2.华中农业大学 经济管理学院, 武汉 430070;3.中国热带农业科学院 科技信息研究所, 海南 儋州 571737)
摘要:
为制定适合农户需求的绿色防控技术推广政策,利用微观调查数据,运用Binary Logistic模型,分析影响农户绿色防控技术采纳意愿的关键因素。结果表明:1)76.15%农户对绿色防控技术具有采纳意愿;2)性别、受教育程度、绿色防控技术感知易用性、绿色防控技术感知有用性、邻居的影响、生态环境关注程度是影响农户绿色防控技术采纳意愿的关键因素。据此提出顺利推广绿色防控技术的对策建议:加强适用性较强的绿色防控技术和产品的研发工作,加大对农村带头人的培训,发挥新技术采用示范户的辐射带动作用。
关键词:  农户  绿色防控技术  采纳意愿  影响因素
DOI:10.11841/j.issn.1007-4333.2015.04.35
投稿时间:2014-09-24
基金项目:湖北省社会科学基金(2012115);中国热带农业科学院农村综合改革示范试点项目;湖南农业大学校青年基金项目(14QN53)
Research on farmers willingness to adopt green control techniques and influencing factors:Empirical evidence from 348 farmers in Hunan Province
LIU Yang1, XIONG Xue-ping2, LIU Hai-qing3, LIU En-ping3
(1.College of economics, Hunan Agricultural University, Changsha 410128, China;2.College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China;3.Institute of Science and Technology Information, China Tropical Agricultural Academy of Sciences, Danzhou 571737, China)
Abstract:
In order to fit the needs of farmers to develop green technology to promote the prevention and control policy, this study used binary logistic model, based on micro-survey data, to analyze key factors affecting farmers' willingness to adopt green control techniques.And we got following several results:1) 76.15 percent of the interviewed farmers showed their willingness to adopt green control techniques.2) Empirical and regression analysis showed that dominant factors affecting farmers adoption intention of green control techniques included gender, education level, its perceived ease of use and perceived usefulness, as well as influence of neighbors' orientation and concern about ecological environment.Accordingly green control technique suggestions were proposed to strengthen the research and development work for the green technologies and products, to increase training for rural leaders and to promote the demonstration of new technologies.
Key words:  farmers  green prevention and control technology  adoption intention  influencing factors