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Does the development of the Internet improve the allocative efficiency of production factors? Evidence from surveys of Chinese manufacturing firms.

Authors :
Liu, Yajie
Cui, Lijuan
Xiong, Yanyan
Yao, Xianguo
Source :
Structural Change & Economic Dynamics. Sep2023, Vol. 66, p161-174. 14p.
Publication Year :
2023

Abstract

• Examining impact of internet on allocative efficiency of factors of production. • Study of Chinese manufacturing industry 1998 to 2013 for 29 provinces. • IV based on historical data of landline phones against potential endogeneity. • Internet improves capital and labour allocative efficiency. • Heterogeneous effects in different industries and stronger in low-tech industries. Using data from the Annual Survey of Industrial Firms conducted from 1998 to 2013 in China, this study examines whether the expansion of the Internet improves the allocative efficiency of production factors in manufacturing industry. Allocative efficiency is measured by the deviation of the actual output from the hypothetical efficient output level. We construct an instrumental variable based on historical data to address potential endogeneity. The results highlight that the Internet improves capital and labour allocative efficiency and has heterogeneous effects in different industries. The effect is larger in low-technology industries. As a technology augmenting production factor, the Internet significantly improves the allocative efficiency of capital (labour) in the industries that use capital (labour) intensively. The mechanism analysis reveals that the Internet improves the allocative efficiency of firms by reducing their overhead expenses and raising the exit rate of inefficient firms from the market. This study extends the research on the effect of Internet and explores the causal relationship between the Internet and the allocative efficiency within industries, to highlight the importance of digital technology in economic growth, especially in the context of developing countries. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0954349X
Volume :
66
Database :
Academic Search Index
Journal :
Structural Change & Economic Dynamics
Publication Type :
Academic Journal
Accession number :
172327166
Full Text :
https://doi.org/10.1016/j.strueco.2023.04.017