中国分行业全要素生产率变动及其增长动能  

Changes of Total Factor Productivity and Its Growth Momentum in Different Industries of China

作　　者：王春云 邢森玉 WANG Chun-yun;XING Sen-yu(School of Mathematics and Statitics,Beijing Technology and Business University,Beijing 100048,China)

机构地区：[1]北京工商大学数学与统计学院,北京100048

出　　处：《统计学报》2023年第4期41-56,共16页Journal of Statistics

基　　金：国家社会科学基金项目(20CTJ006)。

摘　　要：基于2004—2019年中国19个门类行业面板数据,运用随机前沿分析法测算行业层面全要素生产率(TFP)及其分解项变化,以各行业对信息传输、计算机服务和软件业的完全消耗系数衡量数字经济发展水平,并探究其对行业TFP的影响。结果表明:中国TFP整体上呈现升-降-升的变化趋势,技术进步和配置效率变化为正向因子,规模效率变化和配置效率变化为负向因子;数字经济对行业TFP提升有显著促进作用,并通过促进劳动工资的上升提升行业TFP水平;数字经济对TFP提升存在行业异质性,低技术水平、高技术效率、高规模效率、低配置效率行业部门的数字经济发展对TFP的提升作用更大。Based on the panel data of 19 industries in China from 2004 to 2019,this paper used the stochastic frontier analysis method to calculate the changes of total factor productivity(TFP)and its decomposition items at the industry level,and used the total consumption coefficient of information transmission,computer service and software industry in all categories to measure the development level of digital economy,as well as its impact on TFP.The results showed that,TFP in China showed a changing trend of rising first,then falling and finally rising.In this case,technological progress and allocation efficiency acted as positive factors,while scale efficiency change and allocation efficiency change acted as negative factors.Meanwhile,digital economy had a significantly promoting effect on the lift of industrial TFP,and the intermediary channel here was the increase of labor wage.Besides,the promoting effect of digital economy had industrial heterogeneity,which was more greater in the industries and factors having a low technical level,high technical efficiency,high scale efficiency or low allocation efficiency.

关 键 词：全要素生产率 数字经济 完全消耗系数 全要素生产率分解 行业层面 

分 类 号：F222[经济管理—国民经济]