Digital transformation, industrial structure change, and economic growth motivation: An empirical analysis based on manufacturing industry in Yangtze River Delta.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 26 09 2022
accepted: 09 04 2023
medline: 19 5 2023
pubmed: 17 5 2023
entrez: 17 5 2023
Statut: epublish

Résumé

China is in a critical stage of economic growth mode transformation. The digital transformation of the manufacturing industry may create new impetus and new models for economic growth. Taking the manufacturing industry of 25 prefecture-level cities in the Yangtze River Delta region as the research object, we explore the digital transformation process of the manufacturing industry and verifies its theoretical mechanism of promoting economic growth through the industrial structure. A panel model based on the improved Feder two-sector model and a multiple mediating effect model are established to explore the dynamic mechanism of manufacturing digital transformation to promote economic growth through industrial restructuring. The results show that the digital transformation of the manufacturing industry in the Yangtze River Delta region of China is relatively high, and the speed of digital transformation has been accelerating in recent years. The digital transformation of the manufacturing industry can promote the change in industrial structure and form a new driving force for economic growth. The key is to improve the level of industrial structure and extend the length of the industrial chain. Based on these, we propose measures to promote the transformation and upgrading of industrial structure for the sustainable development of China's economy.

Identifiants

pubmed: 37196019
doi: 10.1371/journal.pone.0284803
pii: PONE-D-22-26608
pmc: PMC10191353
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0284803

Informations de copyright

Copyright: © 2023 Zheng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Xuefeng Zheng (X)

School of Economics and Management, Harbin Engineering University, Harbin, China.
School of Management, Heilongjiang University of Science and Technology, Harbin, China.

Xiufan Zhang (X)

School of Economics and Management, Zhejiang Sci-Tech University, Hangzhou, China.

Decheng Fan (D)

School of Economics and Management, Harbin Engineering University, Harbin, China.

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