基于灰色关联度的江苏省服务业TFP变动的影响因素分析  

Analysis of Influencing Factors of Changes in Total Factor Productivity(TFP)of Jiangsu Service Industry Based on Grey Relational Degree

作　　者：郝志杰[1] HAO Zhijie(School of Business,Jiangsu Open University)

机构地区：[1]江苏开放大学商学院

出　　处：《中国商论》2021年第23期108-110,共3页China Journal of Commerce

基　　金：江苏高校哲学社会科学基金项目(2018SJA0543)。

摘　　要：本文选取2008—2017年江苏省服务业作为研究样本,使用灰色关联度法,从经济发展水平、城市化水平、对外开放程度、市场化水平、技术创新、居民消费水平、服务业和工业的集聚程度等方面,对全要素生产率增长的影响因素进行分析。我们可以发现:经济发展水平、城市化水平与服务业TFP增长的关联度较大;服务业集聚程度的变化与服务业TFP增长的关联程度在上升;工业集聚程度的变化与服务业TFP增长的关联程度在下降;居民消费水平的提升对服务业TFP增加有一定的正相关关系;技术创新对服务业TFP的增长也有较小的正向影响。通过促进和提高关联度较强的影响因素来促进江苏服务业TFP的增长,包括提升经济发展水平、城市化水平,提高服务业的集聚程度等。This article selects the service industry in Jiangsu Province from 2008 to 2017 as the research samples,and uses the grey relational method to analyze the levels of economic development,urbanization,opening to the outside world,marketization,technological innovation,consumer consumption,service industry and industrial agglomeration.The analysis of the factors affecting the growth of total factor productivity(TFP)reveals that the levels of economic development,urbanization,and TFP growth in the service industry have a greater degree of correlation;however,the correlation between changes in the degree of industrial agglomeration and the growth of TFP in the service industry is declining.The increase in consumer consumption has a positive correlation with the increase in TFP in the service industry.Technological innovation also has a smaller positive effect on the growth of TFP in the service industry.The growth of TFP in Jiangsu’s service industry can be promoted by increasing the influencing factors with a strong degree of correlation,including improving economic development and urbanization,and increasing the degree of agglomeration of the service industry.

关 键 词：全要素生产率 江苏服务业 灰色关联度 

分 类 号：F127[经济管理—世界经济]