创新要素集聚对绿色经济效率的影响——基于空间计量模型的实证分析  

Influence of the Innovation Cluster to Green Economy Efficiency: Empirical Analysis Based on Spatial Econometric Model

作　　者：周杰文 张云 蒋正云 ZHOU Jiewen;ZHANG Yun;JIANG Zhengyun(School of Economics and Management, Nanchang University, Nanchang Jiangxi 330031, China)

机构地区：[1]南昌大学经济管理学院

出　　处：《生态经济》2018年第6期57-62,共6页Ecological Economy

基　　金：国家社会科学基金项目“中国区域经济差异的尺度效应分析”(11CJL064);中部中心2015年度招标课题“中部地区经济赶超模式研究”(15ZBYB01)

摘　　要：运用熵值法构造各省环境污染综合指数,将其引入效率测度Super-DEA模型,测算我国各省份绿色经济效率,采用区位熵测度创新要素集聚,基于测量结果和分析构建空间计量模型,以全国30个省份及东、中、西部为单元,实证分析了创新要素集聚对绿色经济效率的影响。研究发现：在加入对外开放水平、城市化水平、能源强度、政府规制等控制变量后,R＆D经费对绿色经济效率具有抑制作用,R＆D人员促进了绿色经济效率的提高,且控制变量对不同区域的绿色经济效率影响各异。This paper measures and calculates green economy efficiency of each province in China by using entropy method to study the environmental pollution composite index of all provinces in combination with Super-DEA model. Furthermore, the location entropy is used in the paper to measure the agglomeration degree of innovation factors, and constructed the spatial econometric model based on the measurement results, which makes an empirical analysis of innovation cluster affecting green-efficiency in economy with 30 provinces in the country and some units of the East, central and the West. The results showed that： After adding to some control variables including the opening level, urbanization level, energy intensity and government regulation, RD expenditure has a restraining effect on green economy efficiency while RD staff promoted the improvement of ecological economy efficiency. And control variables also have different impacts on green economy efficiency in different regions.

关 键 词：创新要素集聚 绿色经济效率 Super-DEA模型 控制变量 

分 类 号：F127[经济管理—世界经济] F062.2