The Impact of Digital Transformation on the High-quality Development of the Manufacturing Industry

An Empirical Study based on Systematic GMM and Threshold Modeling

Authors

  • Xianfeng Wu
  • Yaru Cai

DOI:

https://doi.org/10.54691/wrztyg91

Keywords:

Digital Transformation; High-quality Development of Manufacturing; Environmental Regulation; GMM Models.

Abstract

The digital transformation of manufacturing industry facilitates enterprises to access and utilize data information to improve the efficiency of resource allocation, expand product and service business models, and accumulate human capital stock to empower the high- quality development of manufacturing industry by creating a large number of databases. This paper adopts panel data of 30 provinces and cities in China from 2011-2020, and uses system GMM to verify the correlation between two variables. It also introduces environmental regulation as a threshold variable to analyze the threshold effect. The results of the study indicated that: firstly, the association between digital transformation of manufacturing industry and high-quality development of manufacturing industry shows a U-shaped relationship, secondly, the digitalization of manufacturing industry exhibits different impact effects on the four dimensions of high-quality development of manufacturing industry, and lastly, only when the environmental regulation is within a certain level, it can have a driving effect on high-quality development of manufacturing industry. Therefore, it is important to grasp the strategic opportunities of digital economy, strengthen the integration of digital economy and traditional industries, accelerate the digital transformation of manufacturing enterprises, and improve the high-quality development of China's manufacturing industry.

Downloads

Download data is not yet available.

References

RehmanSU, KrausS, ShahSA, etal. Analyzing the relationship between green innovationan denvironmental performance in large manufacturing firms[J]. Technological Forecasting and Social Change,2021,163:120481.

KimMK, ParkJH, PaikJH. Factors in fluencing innovation capability of small and medium size denterprises in Korean manufacturing sector: Facilitators, barriers and moderators[J]. International Journal of Technology Management,2018,76(3-4):214-235.

GhalayiniAM, NobleJS, CroweTJ. Aninte grated dynamic performance measurement system for improving manufacturing competitiveness[J]. International Journal of production economics,1997, 48(3):207-225.

BlázquezL, Diaz-MoraC, González-DíazB.The role of services content for manufacturing competitiveness: A network analysis[J]. Plosone,2020,15(1):e0226411.

ShahzadM, QuY, JavedSA, etal. Relation of environment tsustainability to CSR and green innovation:A case of Pakistani manufacturing industry[J].Journal of Cleaner Production,2020, 253: 119938.

Li Lianshui, CHENG Zhonghua, LIU Jun. The “New Pattern“ of Chinese Manufacturing Industry and Its Evaluation Research[J]. China Industrial Economics,2015(02):63-75.

Wei Houkai. Evaluation of the quality of industrial growth in the regions of the country [J]. Economic Review Journal,1997(04):4-9+63.

Peng Shutao, Li Pengfei. Evaluation of Development Quality of China’s Manufacturing and Its Improvement Path[J]. Studies on Socialism with Chinese Characteristics,2018(05):34-40+54.

CHI Maomao, WANG Weijun, LU Xinyuan,Li Hao. Competing perspectives on the link between digital business strategy profiles and organizational restructuring capabilities [J]. Journal of Industrial Engineering and Engineering Management,2020,34(04):11-20.

CHEN Yihua, ZHANG Zhengang, HUANG Lu. Exploring the Mechanisms and Paths of Manufacturing Digital Enablement on Business Model Innovation [J]. Chinese Journal of Management,2021,18(05): 731-740.

Chen Tang, Chen Guang, Chen Pengyu. Digital Transformation in China: Development History, Operation Mechanism and Prospect [J]. Forum on Science and Technology in China,2022(01):139-149.

ZHOU Huihui, LI Haixia, ZHAO Linrui. Research on the impact of manufacturing digital transformation on green innovation performance: The moderating effects of digital level [J]. Science-Technology and Management,2021,23(01):33-43.

Lou Runping, Mai Shishi, Zhang Hao. Examining the Effect of Corporate Digital Investment on Corporate Value - Empirical Evidence Based on Listed Companies in the Manufacturing Industry [J]. Statistics & Decision,2023,39(01):177-182.

Qi Yudong, Xiao Xu. Transformation of Enterprise Management in the Era of Digital Economy [J]. Journal of Management World,2020,36(06):135-152+250.

Wu Fei, Hu Huizhi, Lin Huiyan, Ren Xiaoyi. Enterprise Digital Transformation and Capital Market Performance : Empirical Evidence from Stock Liquidity [J]. Journal of Management World,2021, 37(07):130-144+10.

ZHAO Chenyu, WANG Wenchun, LI Xuesong. How Does Digital Transformation Affect the Total Factor Productivity of Enterprises? [J]. Finance & Trade Economics,2021,42(07):114-129.

HAN Xianfeng, SONG Wenfei, LI Boxin. Can the Internet Become a New Momentum to improve the Efficiency of Regional Innovation in China [J]. China Industrial Economics,2019(07):119-136.

The inflection point is obtained by solving the nonlinear regression equation by taking a first-order partial derivative and then solving for zero.

Downloads

Published

2024-03-22

Issue

Section

Articles

How to Cite

Wu, X., & Cai, Y. (2024). The Impact of Digital Transformation on the High-quality Development of the Manufacturing Industry: An Empirical Study based on Systematic GMM and Threshold Modeling. Frontiers in Sustainable Development, 4(3), 1-13. https://doi.org/10.54691/wrztyg91