文章摘要
杨传喜1,2 吴昊天1.基于Grey-Dematel方法的农业科技资源错配关键因素识别研究[J].中国科技资源导刊,2022,(5):77~86,99
基于Grey-Dematel方法的农业科技资源错配关键因素识别研究
Identification of Key Factors of Agricultural Tcience and Technology Resources Mismatch Based on Grey-Dematel
投稿时间:2021-11-11  
DOI:
中文关键词: 农业科技资源;资源错配;利益相关者;关键因素;Grey-Dematel法
英文关键词: agricultural science and technology resources, resource mismatch, stakeholders, key factors, Grey-Dematel
基金项目:国家自然科学基金地区项目“农业科技资源错配的形成机理、效应测度及纠偏策略研究”(72064009);教育部人文社会科学研究规划基金项目“创新驱动乡村振兴背景下农业科技资源错配效应及优化策略研究”(20YJA630076);广西自然科学基金面上项目“农业科技资源错配:模型构建、测度及纠偏研究”(2020GXNSFAA159013);广西哲学社会科学规划项目“资源错配视角下广西农业科技资源高效利用研究”(20BGL012)
作者单位
杨传喜1,2 吴昊天1 (1. 桂林理工大学商学院,广西桂林 541004;2. 桂林旅游学院商学院,广西桂林 541006) 
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中文摘要:
      基于利益相关理论,利用Grey-Dematel法从不同主体的利益诉求和行为导向定性分析农业科技资源错配现状,定量识别影响农业科技资源错配的关键因素,构建农业科技资源错配关键因素关系矩阵。结果显示:地方保护主义、户籍制度是主要的结果因素;缺乏有效的成果评价机制、农业科研成果与农民的需求不契合是起关键驱动的原因因素;财政税收政策体系不完善、监管机制不完善两类因素存在不稳定性,为农业科技资源错配的核心因素。在此基础上对关键要素的因果关系进行综合考量,并针对不同利益相关机构,提出协同矫正农业科技资源错配的重点措施等建议,为进一步优化农业科技资源配置提供有益的参考。
英文摘要:
      Based on the interest correlation theory, this paper, Grey-Dematel method is used to qualitatively analyze the current situation of agricultural science and technology resource mismatch from the interest demands and behavior orientation of different subjects, quantitatively identify the key factors affecting the mismatch of agricultural science and technology resources, and construct the relationship matrix of key factors of agricultural science and technology resource mismatch. The results show that local protectionism and household registration system are the main outcome factors; the lack of effective achievement evaluation mechanism, the mismatch of agricultural research and farmers are the key drivers, imperfect fiscal and regulatory mechanism, and the core factors of the mismatch of agricultural science and technology resources. Finally, comprehensive consideration of causality of key factors and put forward key measures to coordinate the mismatch of agricultural science and technology resources for different interest institutions, so as to provide useful reference for further optimizing the allocation of agricultural science and technology resources.
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