Has "Intelligent Manufacturing" Promoted the Productivity of Manufacturing Sector?-Evidence from China's Listed Firms

被引：4

作者：

Qu, Yi ^{[1
,2
,3
]}

Shi, Yong ^{[1
,2
,3
,4
]}

Guo, Kun ^{[1
,2
,3
]}

Zheng, Yuanchun ^{[2
,3
,5
]}

机构：

[1] Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China

[2] Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing 100190, Peoples R China

[3] Chinese Acad Sci, Res Ctr Fictitious Econ & Data Sci, Beijing 100190, Peoples R China

[4] Univ Nebraska, Coll Informat Sci & Technol, Omaha, NE 68182 USA

[5] Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100190, Peoples R China

来源：

6TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT | 2018年 / 139卷

关键词：

Intelligent Manufacturing; Cobb-Douglas Production Function; Total Factor Productivity (TFP); Coefficient-varying Model; Seemingly Unrelated Regression (SUR); EFFICIENCY CHANGE; GROWTH; AGRICULTURE; REFORMS;

D O I：

10.1016/j.procs.2018.10.272

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Intelligent Manufacturing has attracted global and continuous attention recent years, with more and more intelligent devices and systems applied in production. In this paper, we take China's manufacturing listed firms to investigate the productivity difference between intelligent and general manufacturing firms. By the Cobb-Douglas production function, we built a Coefficient-varying Model and used Seemingly Unrelated Regression (SUR) to estimate the time-varying trend of productivity from 2011 to 2017. The empirical results show that "Intelligent Manufacturing" has obviously promoted the Labor factor utilization efficiency and the Total Factor Productivity (TFP) through the advances in technology. But it doesn't have universally enhancing effect of all industries. The impact of "Intelligent Manufacturing" still remains to be observed overtime. (C) 2018 The Authors. Published by Elsevier B.V.

引用

页码：299 / 305

页数：7

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