» Articles » PMID: 35206606

Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China's Cities

Overview
Publisher MDPI
Date 2022 Feb 25
PMID 35206606
Authors
Affiliations
Soon will be listed here.
Abstract

The digital economy is an important engine to promote sustainable economic growth. Exploring the mechanism by which the digital economy promotes economic development, industrial upgrading and environmental improvement is an issue worth studying. This paper takes China as an example for study and uses the data of 286 cities from 2011 to 2019. In the empirical analysis, the direction distance function (DDF) and the Global Malmquist-Luenberger (GML) productivity index methods are used to measure the green total factor productivity (GTFP), while Tobit, quantile regression, impulse response function and intermediary effect models are used to study the relationship among digital economy development, industrial structure upgrading and GTFP. The results show that: (1) The digital economy can significantly improve China's GTFP; however, there are clear regional differences. (2) The higher the GTFP, the greater the promotion effect of the digital economy on the city's GTFP. (3) From a dynamic long-term perspective, the digital economy has indeed positively promoted China's GTFP. (4) The upgrading of industrial structures is an intermediary transmission mechanism for the digital economy to promote GTFP. This paper provides a good reference for driving green economic growth and promoting the environment.

Citing Articles

Fueling the development of elderly care services in China with digital technology: A provincial panel data analysis.

He J, Sui D, Li L, Lv X Heliyon. 2025; 11(3):e41490.

PMID: 39995919 PMC: 11848095. DOI: 10.1016/j.heliyon.2024.e41490.


The panel threshold analysis of digitalization on manufacturing industry's green total factor productivity.

Liu L, Xin Y, Liu B, Pang Y, Kong W Sci Rep. 2025; 15(1):4336.

PMID: 39910166 PMC: 11799531. DOI: 10.1038/s41598-025-86643-2.


How does the development of the digital economy in RCEP member countries affect China's cross-border e-commerce exports?.

Wang D, Xu P, An B, Song Y PLoS One. 2024; 19(12):e0310975.

PMID: 39715223 PMC: 11666022. DOI: 10.1371/journal.pone.0310975.


The impact of data factor-driven industry on the green total factor productivity: evidence from the China.

Huang P, Chen X Sci Rep. 2024; 14(1):25377.

PMID: 39455710 PMC: 11511855. DOI: 10.1038/s41598-024-77189-w.


Research on the impact and mechanism of digital economy on China's urban green total factor productivity.

Liu L, Pang Y, Liu B Sci Rep. 2024; 14(1):22756.

PMID: 39354112 PMC: 11445464. DOI: 10.1038/s41598-024-73654-8.


References
1.
Shair F, Shaorong S, Kamran H, Hussain M, Nawaz M, Nguyen V . Assessing the efficiency and total factor productivity growth of the banking industry: do environmental concerns matters?. Environ Sci Pollut Res Int. 2021; 28(16):20822-20838. DOI: 10.1007/s11356-020-11938-y. View

2.
Zhong K . Does the digital finance revolution validate the Environmental Kuznets Curve? Empirical findings from China. PLoS One. 2022; 17(1):e0257498. PMC: 8758091. DOI: 10.1371/journal.pone.0257498. View

3.
Baron R, Kenny D . The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986; 51(6):1173-82. DOI: 10.1037//0022-3514.51.6.1173. View

4.
Pei T, Gao L, Yang C, Xu C, Tian Y, Song W . The Impact of FDI on Urban PM Pollution in China: The Mediating Effect of Industrial Structure Transformation. Int J Environ Res Public Health. 2021; 18(17). PMC: 8430960. DOI: 10.3390/ijerph18179107. View

5.
Li J, Tang D, Tenkorang A, Shi Z . Research on Environmental Regulation and Green Total Factor Productivity in Yangtze River Delta: From the Perspective of Financial Development. Int J Environ Res Public Health. 2021; 18(23). PMC: 8657251. DOI: 10.3390/ijerph182312453. View