中国生产性服务业升级对工业全要素生产率影响研究

Research on the Impact of China’s Productive Service Industry Upgrade on Industrial Total Factor Productivity

我国服务业已迅速发展成为国民经济的第一大产业,研究服务业升级对促进我国经济健康稳定发展具有重要意义。本文选取2005-2017年间的行业面板数据,采用固定效应模型,实证研究了我国服务业的效率改进和结构优化的产业升级对工业全要素生产率的影响,服务业的效率改进和结构优化主要体现为生产性服务业的全要素生产率提升和要素投入占比的增加。基于应用随机前沿分析(SFA)测算得到的行业层面全要素生产率,进一步应用面板数据固定效应模型验证了生产性服务业全要素生产率和要素投入结构对工业全要素生产率的影响。研究发现:生产性服务业的全要素生产率对工业的全要素生产率存在显著的正向影响,劳动力成本结构的影响显著但较为微弱,而资本要素的结构变化无显著影响,提升工业全要素生产率的关键在于提升生产性服务业的生产率水平。

China’s service industry has rapidly developed into the largest industry in the national economy. Researching the upgrading of the service industry is of great significance to promoting the healthy and stable development of China’s economy. This paper selects the industry panel data from 2005 to 2017, and uses the fixed effect model to empirically study the impact of efficiency improvement in China’s productive service industry and industrial upgrading of structural optimization on industrial total factor productivity. Based on the application of stochastic frontier analysis(SFA) to measure the total factor productivity at the industry level, the panel data fixed effect model was further applied to verify the impact of total factor productivity and factor input structure of the producer service industry on industrial total factor productivity. The study finds that the total factor productivity of the producer service industry has a significant positive impact on the total factor productivity of the industry, while the structural change of the labor cost and capital elements has a weaker impact. The key to improving the total factor productivity of the industry is to improve the productive service industry. Productivity level.