基于三阶段DEA与Malmquist指数分解的中国高技术产业全要素生产率研究

Research on Total Factor Productivity of High-tech Industry in China Based on Three-stage DEA and Malmquist Index Decomposition

摘要:

中国高技术产业全要素生产率（TFP）的提升为经济的可持续发展提供了重要支持。以中国30个省市为研究目标，采用三阶段DEA模型和Malmquist生产率指数对“十一五”至“十三五”期间各地区高技术产业TFP进行了静态和动态研究。研究发现：在剥离了外部环境因素和随机扰动因素后，综合效率和规模效率被高估，纯技术效率被低估，而规模效率偏低则是制约我国高技术产业TFP提升的主要原因。通过Malmquist指数及其分解可知，我国高技术产业技术效率改进由纯技术效率占据主导，但技术进步迟缓依旧是扼制我国高技术产业TFP提升的瓶颈。因此，持续扩大产业规模，保持研发投入和技术创新是推动我国高技术产业长远发展的重要途径。

Abstract:

The promotion of total factor productivity (TFP) of China's high-tech industry provides important support for the sustainable development of economy. Taking 30 provinces and cities in China as the research goal, this paper uses the Three-stage DEA model and Malmquist productivity index to study the static and dynamic TFP of high-tech industry in various regions from the eleventh five year plan to the 13th five year plan. It is found that after stripping the external environmental factors and random disturbance factors, the comprehensive efficiency and scale efficiency are overestimated, the pure technical efficiency is underestimated, and the low scale efficiency is the main reason restricting the promotion of TFP in China's high-tech industry. It can be seen that the bottleneck of China's pure technology improvement is still high technology efficiency, but China's pure technology improvement is still dominated by the malquist industry. Therefore, continuously expanding the industrial scale and maintaining R&D investment and technological innovation are important ways to promote the long-term development of China's high-tech industry.