摘要
利用2000—2014年中国31省市面板数据,采用Malmquist指数法对服务业全要素生产率进行计算、分解,建立空间计量模型对影响服务业全要素生产率的知识因素进行分析。结果表明:我国31省市的服务业全要素生产率具有明显的空间相关性,信息化水平、现代化水平、对外开放程度、教育投入、研发资金投入等对中国服务业全要素生产率增长具有显著影响,而科研人力投入对服务业全要素生产率增长的影响短期内不显著。
This paper estimates and decomposes the T F P of China’s service industry using the provincial paneldata of 2000-2014 and Malmquist index method, and analyzes the factors affecting the T F P of service industryby spatial econometric models. The results show that the T F P of service industry in China has obvious spatialcorrelation. The level of informatization and modernization , the degree of opening up, the level of educationalinvestment and R ＆ D investment have significant impacts on T F P growth of China’s service industry, while theinput of scientific research personnel has no significant effect on the growth of T F P in China’s service industryin a short period.
出处
《厦门理工学院学报》
2017年第4期57-64,共8页
Journal of Xiamen University of Technology
