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工业绿色技术创新效率时间演变及空间关联特征

Time Eevolution of Industrial Green Technology Innovation Efficiency and Spatial Correlation Feature
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摘要 工业企业作为绿色技术创新活动的重要实施者,其绿色技术创新备受关注。基于中国26个省域工业2014-2018的面板数据,运用DEA-BCC模型测算了各省域工业行业的绿色技术创新效率,通过纯技术效率与规模效率的分解对各省域工业绿色技术创新活动进行静态分析,使用自然断裂法将各省域划分以探究其格局演变,利用莫兰指数刻画其空间关联效应。 In order to realize the sustainable development of economy and society,it has been an inevitable tendency for industrial enterprises,which are important undertakers of green technology innovation activities,to carry out green technology innovations.Based on the panel data of 26 provincial industries in China from 2014 to 2018,DEA-BCC model is uesd to measure the green technology innovation efficiency of all provincial industries.By decomposing pure technical efficiency and scale efficiency and conducts static analysis of green technology innovation activities of all provincial industries,the natural fracture method is used to divide the provinces so as to explore the evolution of its patterns and the Moran index is used to depict its spatial correlation effect.
作者 李雯 宋晓宇 马晗潇 Li Wen;Song Xiaoyu;Ma Hanxiao(Central China Normal University,School of Economics and Business Administration,Wuhan 430079,China;Central China Normal University,School of Law,Wuhan 430079,China)
出处 《科技创业月刊》 2021年第8期9-14,共6页 Journal of Entrepreneurship in Science & Technology
关键词 工业绿色技术创新效率 DEA-BCC模型 莫兰指数 空间关联 Green Technology innovation Efficiency DEA-BCC Moran’s I Spatial Correlation
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