微观企业全要素生产率及其增长率测算方法综述  被引量:3

A Review of Estimate of Total Factor Productivity and Its Growth Rate at Enterprise Level

在线阅读下载全文

作  者:刘方[1] 赵彦云[1] Liu Fang;Zhao Yanyun(School of Statistics,Renmin University of China,Beijing 100872,China)

机构地区:[1]中国人民大学统计学院,北京100872

出  处:《工业技术经济》2020年第7期39-47,共9页Journal of Industrial Technological Economics

基  金:教育部人文社会科学重点研究基地重大项目“大数据时空微结构统计方法及经济运行与社会活动风险精确监测研究”(项目编号:17JJD910001)。

摘  要:企业作为产出活动的决策主体,科学测算其全要素生产率及增长率可以为我国经济发展由高速增长转为高质增长提供参考。学术界针对微观企业层面的全要素生产率及其增长率的测算方法众多,本文对这些方法进行综述,有助于研究者全面系统地理解测算方法,更好地进行实证分析,推动以企业微结构为基础的经济领域相关研究。本文有以下两点创新:(1)在对主流测算方法进行综述时,首次将各种方法依据其本质思想,区分为“余值”法和“前沿面”法两类来梳理;(2)全要素生产率与全要素生产率增长率具有不同的侧重点和政策作用,测算方法也不尽相同,目前研究中对两者有较为严重的混用,本文在综述时对两者及对应的测算方法加以区分。As the decision makers of output activities,the accurate estimation of total factor productivity and its growth rate of enterprises is of great significance for the transformation of China's economy from high growth to high quality.There are many ways to measure total factor productivity and its growth rate in academia.This paper aims to provide a review of all these methods,which will help researchers understand these methods comprehensively and systematically.As a result,researchers can make better empirical analysis and promote relevant research in the economic field based on the micro structure of enterprises.The paper has the following two innovations:first,the review has summarized the mainstream measurement methods into“residual value”methods and“production frontier”methods according to their essential ideas.Second,total factor productivity and its growth rate have different emphases and policy functions,and their estimate methods are also different.However,there is a serious mixture of the two in the present research.This paper try to distinguish the two concept and their corresponding estimate methods.

关 键 词:微观企业 全要素生产率 全要素生产率增长率 “余值”法 “前沿面”法 结果稳健性 

分 类 号:F270.3[经济管理—企业管理] F224[经济管理—国民经济]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象