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基于全局熵值法的区域创新系统绩效动态评价研究 被引量:19

Dynamic Evaluation and Analysis of Regional Innovation System Performance Based on Overall Entropy Method
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摘要 对"熵"在区域创新系统绩效评价中的本质含义进行剖析的基础上,从全局的视角分别构建区域创新系统的结构绩效评价模型和功能绩效评价模型,基于中国大陆地区31个省(自治区、直辖市)2009-2017年间的面板数据,在"结构-功能"二维分析框架下,对我国区域创新系统绩效进行了动态评价。实证研究发现:我国区域创新系统的结构绩效呈现出与功能绩效完全相反的"西高东低"的态势,中西部区域创新系统结构绩效普遍高于东部地区;在功能绩效方面,北京、广东、上海及天津等仍然是第一梯队,其中广东省区域创新系统近几年发展势头迅猛,其功能绩效目前稳居全国第一,而北京和上海等省份区域创新系统功能绩效近几年呈现下滑的发展趋势;通过区域创新系统"结构-功能"二维视角的分析,发现区域创新系统的结构绩效和功能绩效呈现负相关的关系,功能绩效的提升往往是以牺牲结构绩效为代价的,且区域创新系统的演化过程具有一定的方向性。通过本文的研究,一方面对复杂性科学在区域创新系统理论研究中的应用范围和深度有所拓展;另一方面,对我国各区域间的合理分工与深度合作及区域创新政策的制定等也具有重要的理论启示。 This paper constructs the evaluation model of structurel performance and functionl performance based on the analysis of the meaning of entropy in regional innovation system.Under the two-dimensional framework of structure-function,this paper evaluates the performance of regional innovation system based on the panel data of 31 provinces in China from 2009 to 2017.Empirical research show that the structure performance of China’s regional innovation system shows a trend of high west and low east,the structure performance of innovation system in central and western regions is generally higher than that in eastern regions.The function performance of Beijing,Guangdong,Shanghai and Tianjin are still the first echelon,and the regional innovation system of Guangdong province has developed rapidly in recent years and its function performance ranks first in China.The function performance of Beijing and Shanghai regional innovation system has been declining in recent years.Under the two-dimensional framework of structure-function,it is found that the structure performance and function performance of regional innovation system are negatively correlated,the improvement of function performance is often at the expense of structure performance,and the evolution process of regional innovation system has certain direction.The results expand the application range and depth of science of complexity in the regional innovation system,have important theoretical implications for regional cooperation and division of labor and the formulation of regional innovation policies.
作者 王展昭 唐朝阳 Wang Zhanzhao;Tang Zhaoyang(Henan Polytechnic University School of Business Administration Research Centerforenergy Economics,Jiaozuo 454000,Henan,China;Taihang Development Research Institute,Henan Polytechnic University,Jiaozuo 454000,Henan,China)
出处 《技术经济》 CSSCI 北大核心 2020年第3期155-168,共14页 Journal of Technology Economics
基金 教育部人文社会科学研究青年基金项目“欠发达地区区域创新系统与制造业协同发展的阻滞机理、突破路径及政策体系研究”(19YJC630178) 河南省哲学社会科学规划项目最终研究成果“基于制造业协同发展的河南省区域创新系统构建路径及政策体系研究”(2018CJJ080) 河南省教育厅人文社科一般项目“口碑‘负面偏见’对新产品扩散的影响机理及调控策略研究--基于双层社会网络视角”(2019-ZZJH-043)。
关键词 熵值法 全局视角 区域创新系统 绩效评价 entropy evaluation method A overall perspective regional innovation system performance evaluation
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