中国制造业生产率增长研究  

A Study on Productivity Growth in China’s Manufacturing Sector

作　　者：王蛟龙 代智慧[1] Wang Jiaolong;Dai Zhihui(School of Economics,Zhongnan University of Economics and Law,Wuhan 430073,China)

机构地区：[1]中南财经政法大学经济学院

出　　处：《统计与决策》2018年第20期118-121,共4页Statistics & Decision

基　　金：国家社会科学基金资助项目(14BJL058);中南财经政法大学博士研究生重点科研创新项目(2015BZ0301)

摘　　要：文章基于1998-2016年我国制造业行业的面板数据，运用ACF方法和LP方法，先后测算企业层面全要素生产率，探讨较新的ACF方法在解决内生性问题上的优越性。结果表明：我国制造业全要素生产率年均增长7．27％，资本密集型行业增速最高。结合我国制造业三类行业结构进行分析，在国家最新产业政策引导下，亟需提高技术革新程度，优化产业结构。Based on the panel data of China＇ s manufacturing industry from 1998 to 2016, this paper applies the ACF ap- proach and LP approach to estimate the firm-level total factor productivity, explores the advantages of new ACF methods in solv- ing endogenous problems. The results show that China＇s total factor productivity in manufacturing industry increases by average 7.27% annually, and capital-intensive industries have the highest growth rate. Three types of industrial structure of China＇s manu- facturing industry are analyzed. Under the guidance of the latest national industrial policy, it is urgent to improve the level of tech- nological innovation and optimize the industrial structure.

关 键 词：全要素生产率 异质企业 半参数 生产函数 ACF方法 

分 类 号：F424[经济管理—产业经济]