基于社会结构矩阵的区域科技创新政策绩效研究——基于北京市的实证分析  

Research on the Performance of Regional Science and Technology Innovation Policy Based on Social Fabric Matrix: Based on an Empirical Analysis of Beijing

作　　者：张永安[1] 郄海拓[1] Zhang Yong＇an;Qie Haituo(Beijing University of Technology,School of Economics and Management,Beijing 100124,China)

机构地区：[1]北京工业大学经济与管理学院,北京100124

出　　处：《科技管理研究》2018年第20期46-54,共9页Science and Technology Management Research

基　　金：国家部委项目"基于复杂自适应系统的集群创新网络模拟研究"(3A011212200901);国家自然科学基金资助项目"基于CAS的焦点企业核型结构产业集群创新网络演化机理研究"(70972115);北京市教委重点项目"北京高新技术企业集群网络化的机理;模试与政策导向研究"(SZ20071005002)

摘　　要：基于社会结构矩阵研究框架,设定影响区域科技创新政策的4项一级指标和17项二级指标,运用熵权法进行权重确定,以北京市区域科技创新政策为例,对北京市2007—2016年间的区域科技创新政策绩效进行计算并分析。认为北京市区域科技创新政策绩效一直处于增长状态,且较小的科技投入能带来较高科技产出,但区域科技创新政策对环境的作用还比较单一,科技成果的实际转化还是亟待解决的一大问题。Based on social fabric matrix. Based on the framework of social fabric matrix, this paper sets out four primary in- dicators and seventeen secondary indicators that affect the regional science and technology innovation policy. Entropy method is used to determine the weights. Taking the regional science and technology innovation policy of Beijing as an example, this paper calculates and analyzes the performance of regional science and technology innovation policy from 2007 to 2016 in Beijing. This paper argues that Beijing＇ s regional science and policy performance has been in a state of growth, mad small technology investments can bring high technology outputs. While the impact of regional science and technology innovation policy on the role of the environment is still relatively simple, actual transformation of scientific and technological achieve- ments to economy achievements is stiU urgent problems to solve.

关 键 词：社会结构矩阵SFM 区域科技创新政策 政策绩效 熵权法 政策评价 

分 类 号：G322.0[文化科学]