文章摘要
涉农人员对智慧农业建设的支持意愿及影响因素研究——以新疆察布查尔锡伯自治县为例
The willingness and influencing factors of agricultural personnel to support the construction of smart agriculture: A case study of Qapqal Xibe Autonomous County, Xinjiang, China
投稿时间:2018-06-26  修订日期:2018-08-23
DOI:10.13872/j.1000-0275.2018.0067
中文关键词: 智慧农业  涉农人员  支持意愿  结构方程模型  互联网
英文关键词: smart agriculture  agricultural personnel  support willingness  structural equation model  internet
基金项目:国家自然科学基金项目(41501134, 41471105);中国博士后基金面上项目(2017M622334)
作者单位E-mail
吴娜琳 河南大学 10130102@vip.henu.edu.cn 
张娣 河南大学 1019919345@qq.com 
李二玲 河南大学 erlingli@henu.edu.cn 
李小建 河南大学 xjli@henu.edu.cn 
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中文摘要:
      涉农人员对智慧农业建设的支持意愿将直接影响智慧农业的建设与发展、推广与普及。基于我国西部边陲国家扶贫开发重点县的农户调研数据,采用结构方程模型,就不同认知水平的涉农人员对县域智慧农业建设的支持意愿及其影响因素进行了分析。结果表明,涉农人员对智慧农业越了解、信息获取能力越强、对当地农业发展现状越满意、地理效应认知度越高,则支持意愿越强;涉农人员的文化水平越高、工作类型与农业科技关联度越高者,对智慧农业的建设越支持,但年龄越大的涉农人员越不支持智慧农业的建设;而行为主体的创新意识与其支持意愿关联度不强,说明我国对新技术在农业中运用的宣传不到位,造成涉农人员的创新意愿与前沿创新技术没有严格相符,农户的知识结构与现代农业的先进技术需求也还存在相当大的差距。加强新技术在农业中的宣传、提高涉农人员的知识水平已迫在眉睫。
英文摘要:
      The willingness of agricultural personnel to support the construction of smart agriculture will directly affect the construction, development, promotion, and popularization of smart agriculture. Based on a survey data of agricultural personnel in key counties of national poverty alleviation and development in the western border of China, this paper applied a structural equation model to analyze the support willingness and influencing factors of agricultural personnel with different cognitive levels to the construction of smart agriculture in rural area. Results show that the more agricultural personnel understand smart agriculture, the stronger the ability of obtaining information agricultural personnel have, the more satisfied with the current situation of local agriculture development agricultural personnel are, the higher the degree of recognition of geographical effect agricultural personnel have, the stronger the willingness of agricultural personnel support smart agriculture. The higher the education level of the agriculture personnel obtain, the higher the correlation is between the type of work and agricultural science and technology, the more agricultural personnel support smart agriculture. However, the older the agricultural personnel are, the less they support the construction of smart agriculture. This study also found that the innovation consciousness of the behavioral agents is not closely related to their support willingness, which indicates that the propaganda of the application of new technology in agriculture is not enough in our country. As a result, the innovation willingness of the agricultural personnel is not strictly consistent with the frontier innovation technology. And there is still a considerable gap between the agricultural personnel knowledge structure and the advanced technology demand of modern agriculture. It is urgent to strengthen the propaganda of new technology in agriculture and to improve the knowledge level of agricultural personnel.
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