中部六省技术创新效率受制于何——基于超效率DEA和多层线性模型的实证研究  

What Constrains the Technological Innovation Efficiency of the Six Central Provinces——Based on Super Efficiency DEA and Hierarchical Linear Model

作　　者：刘曼赟 彭刚[1] 符学忠 LIU Man-yun;PENG Gang;FU Xue-zhong(Southwestern University of Finance and Economics,Chengdu 611130 China;Hainan University,Haikou 570228 China)

机构地区：[1]西南财经大学,成都611130 [2]海南大学,海口570228

出　　处：《电子科技大学学报（社科版）》2019年第3期18-23,共6页Journal of University of Electronic Science and Technology of China(Social Sciences Edition)

基　　金：国家社科基金青年项目(18CTJ005);全国统计科学研究重大项目(2017LD05)

摘　　要：技术创新战略关乎中部地区能否顺利崛起,是化解我国发展“不平衡不充分”主要矛盾的关键一环。基于2000~2016年中部六省的面板数据,利用超效率DEA模型测度综合技术创新效率,基于新经济社会学的相关理论构建了影响技术创新效率的多层线性模型。结果表明:R&D经费支出和R&D人员全时当量对技术创新效率均具有明显的促进作用,但两者作用在中部六省间存在显著性差异;对中部六省的技术创新效率具有显著直接影响的因素有技术创新效率百度指数和城市化率,具有显著间接影响的有教育财政支出规模、外贸依存度、技术创新效率百度指数和工业化程度。Whether central provinces can develop depends on the technology innovating strategy, which is a key point to solve the primary contradiction of “Imbalance and Inadequacy” in China. This paper uses panel data from 2000 to 2016 to compute the technological innovation efficiency. In addition, the study builds hierarchical linear model based on the theory of new economic sociology. Results show that R&D expenditure and R&D personnel both play a significant role in promoting technological innovation efficiency. Meanwhile, they vary from the six provinces. Furthermore, Baidu index of technological innovation efficiency and urbanization rate have a remarkably direct impact on technological innovation efficiency. On the other hand, education expenditure, the dependence on foreign trade, Baidu index and the degree of industrialization have an evidently influence on technological innovation efficiency.

关 键 词：技术创新效率 嵌入性视角 超效率DEA 多层线性模型 

分 类 号：F224[经济管理—国民经济]