Has “Intelligent Manufacturing” Promoted the Productivity of Manufacturing Sector?--Evidence from China’s Listed Firms | Zendy

Yi Qu | Zendy; Yong Shi | Zendy; Kun Guo | Zendy; Yuanchun Zheng | Zendy

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Has “Intelligent Manufacturing” Promoted the Productivity of Manufacturing Sector?--Evidence from China’s Listed Firms

Author(s) -

Yi Qu,

Yong Shi,

Kun Guo,

Yuanchun Zheng

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.10.272

Subject(s) - productivity , total factor productivity , computer science , production (economics) , overtime , manufacturing , industrial organization , function (biology) , manufacturing sector , manufacturing engineering , advanced manufacturing , production function , business , labour economics , economics , engineering , microeconomics , economic growth , marketing , evolutionary biology , biology

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.

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