摘要
以区位熵作为中国各省市制造业聚集指数测度指标,基于规模报酬可变的Super-SBM三阶段DEA模型分析法,对中国各省市(除西藏)技术创新效率进行测算,并用2005—2014年省际面板数据研究产业聚集对技术创新效率的影响。结果显示,在控制对外开放程度和制度创新的条件下,产业聚集对技术创新效率呈正向影响;并且随着产业集聚程度的提高,技术创新效率呈现先递减、后渐增、再递减的发展态势,即产业聚集增长效应符合"倒N型"假说。
This paper, by taking the location entropy as the accumulation index indicator for manufacturing industries in China＇s provinces and cities, uses a three - stage Super - SBM DEA model based on the variable remuneration to measure China＇s provinces and cities （except Tibet） technology innovation efficiency, and to explore the influence of industry ag- glomeration on the technological innovation efficiency based on 2005--2014 Provincial Panel Data. Results show under the control of the openness and institution innovation, industry agglomeration has a positive influence on technological innova- tion efficiency; and with the promotion of industrial agglomeration, technological innovation efficiency decreases first, after- words increases, then decreases, namely, the growth effect of industry agglomeration is in line with the ＇ inverted N - type＇ hypothesis.
出处
《科技管理研究》
CSSCI
北大核心
2017年第2期163-170,共8页
Science and Technology Management Research
关键词
产业聚集
技术创新效率
Super—SBM模型
三阶段DEA
区位熵
industry agglomeration
technological innovation efficiency
Super - SBM model
three - stage DEA
location entropy
