中国经济全要素生产率影响因素及收敛性研究——基于省际面板数据分析

A Study on the Factors Affecting the Total Factor Productivity of China's Economy and Its Convergence——An Analysis Based on the Provincial Panel Data

首先，采用DEA—Malmquist模型对中国29个省份2000—2012年的全要素生产率进行了全面测算，得出中国的全要素生产率及其技术进步的增长有所下降，技术效率得到了改善。其次，在此基础上通过省级动态面板数据的GMM方法，分析了各因素对中国经济全要素生产率的影响，得出结论是中国仍未改变粗放型经济增长模式，并没有摆脱依赖技术效率对全要素生产率提升的作用，应继续增加科研力量投入，推进技术进步对其发挥显著作用。最后，从收敛性看，中国的东、中、西部地区均存在β收敛。其中，收敛速度以西部最快，中部最慢，说明中国各个地区都存在各自的稳态水平，并且都收敛于各自的稳定水平。

At first, DEA - Malmquist model is used to calculate the total factor productivity of the 29 regions of China in 2000 to 2012, and the results show that the growth of total factor productivity and the technological progress of China have decreased, but the technical efficiency has been improved. Besides, through the GMM method of provincial panel data, the paper analyzes the various factors affecting the total factor productivity of China. It is concluded that the extensive economic growth model of China has not been changed, and China still relies on technical efficiency to improve total factor productivity. Therefore, we should deep on increasing the investment in scientific research, and promote technological progress. Finally, from the perspective of convergence, β convergence exists in the eastern, the central and the western regions of China. Convergence rate is the fastest in western regions and the slowest in central regions. This proves that there are steady states in different regions of China, and they all converge to their own stable level.