中国科技创新对经济增长的支撑作用研究

发布时间：2018-09-02 07:59

【摘要】：为了从动态视角分析中国科技创新是否支撑中国经济增长,该文提出了Network DEA-Malmquist指数法,建立全要素生产率、技术进步、技术效率改进和各阶段的效率变化等各种效率指标之间的联系。对中国省级数据的实证研究结果表明,第一阶段技术进步是推动第一阶段效率变化的主要原因,第二阶段技术效率改进是推动第二阶段效率变化的主要原因;科技创新对中国经济增长的支撑作用较低。技术进步、第二阶段的效率变化差距是导致东中部全要素生产率差距的主要原因,对东西部也同样如此。仅上海、天津、江苏、北京、广东全要素生产率呈现正增长;TFP以及两个阶段效率在省际之间呈现出"强者恒强、弱者恒弱"的变化趋势。新研究方法将全要素生产率增长的黑箱打开,有利于提高政策的针对性。
[Abstract]:In order to analyze whether scientific and technological innovation in China supports China's economic growth from a dynamic perspective, this paper puts forward the Network DEA-Malmquist index method to establish total factor productivity and technological progress. The relationship between technical efficiency improvement and efficiency change in each stage. The empirical results of provincial data in China show that the technological progress in the first stage is the main reason for the change of efficiency in the first stage, and the technical efficiency improvement in the second stage is the main reason for the change in the efficiency in the second stage. Science and technology innovation to China's economic growth support role is low. The difference of efficiency in the second stage of technological progress is the main reason leading to the difference of total factor productivity in the east and the middle, and the same is true for the east and the west. Only Shanghai, Tianjin, Jiangsu, Beijing and Guangdong showed positive growth in TFP and the efficiency of the two stages showed a trend of "strong with the strong and weak with the weak". The new research method opens up the black box of total factor productivity growth, which is helpful to improve the pertinence of policy.
【作者单位】：湖南商学院;南开大学经济学院;
【基金】：国家社科基金一般项目(编号:17BJL119)
【分类号】：F124

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