Impact of the Digital Economy on the Green Economy: Evidence from China DOI Open Access
Chenggang Wang, Tiansen Liu, Danli Du

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9217 - 9217

Published: Oct. 24, 2024

In recent years, the digital economy and green have become integral parts of China’s economy. Chinese government has been actively expanding its support for development these sectors. However, there are still several obstacles hindering progress in China. The objective this study is to delve into impact mechanism on Moreover, paper innovatively integrates industrial structure technological innovation process. We elucidate significant roles played by two mediating variables. Simultaneously, we employ bidirectional fixed-effect model, baseline regression, robustness tests analyze data from 31 provinces China between 2012 2021. conclusions as follows: (1) contributes improvement level (2) When influences economy, upgrading play roles. (3) varies across diverse regions This reveals using variables innovation. It enriches research content field extends application scenarios related methods. provide valuable references promoting both

Language: Английский

The panel threshold analysis of digitalization on manufacturing industry’s green total factor productivity DOI Creative Commons
Lu Liu,

Yulong Xin,

Bei Liu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 5, 2025

Green and sustainable development of manufacturing industry has become the developing trend, green total factor productivity is an important indicator for measuring growth industry. The rapid digitalization provides new opportunities improvement industry's (IGTFP). However, there exists two different perspectives "digital promotion effect" inhibition presently, which causes paradox". That is, may have a non-linear effect on IGTFP. Therefore, this study focuses level aims to test threshold impact Furthermore, tries explore boundary conditions applicability driving sub-industries from perspective heterogeneous technological innovation abilities in industries. empirical based panel data 29 industries China 2012–2019. results show that: (1) Digitalization significant IGTFP, research are still robust according changing variable algorithm carrying Winsorize test. (2) Industry (ITI) plays role process (3) Heterogeneity analysis shows that mechanism varies depending differentiated intensity pollution degree. policymakers should formulate strategies.

Language: Английский

Citations

1
Evolution and drivers of green total factor productivity network structure in the Yangtze River Economic Belt from the perspective of urban agglomerations DOI Creative Commons
Huan Zhang,

Ting Song,

Jiaqi Zheng

et al.

Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100644 - 100644

Published: Feb. 1, 2025

Language: Английский

Citations

0
Promote or inhibit? Digital Manufacturing and Urban Green Transformation - Empirical Evidence from China DOI Creative Commons
Wenjun Fang, Feng Deng,

Zhengbo Li

et al.

Sustainable Futures, Journal Year: 2025, Volume and Issue: unknown, P. 100686 - 100686

Published: May 1, 2025

Language: Английский

Citations

0
Digital Industry's Green Catalyst: Unleashing Sustainable Growth for Enterprises DOI

qipeng wang,

Yong Liu

Published: Jan. 1, 2025

Language: Английский

Citations

0
Digital Transformation and Corporate Green Total Factor Productivity: Based on Double/Debiased Machine Learning Robustness Estimation DOI
Rongrong Wei, Yueming Xia

Economic Analysis and Policy, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

Citations

3
Impact of the Digital Economy on the Green Economy: Evidence from China DOI Open Access
Chenggang Wang, Tiansen Liu, Danli Du

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9217 - 9217

Published: Oct. 24, 2024

In recent years, the digital economy and green have become integral parts of China’s economy. Chinese government has been actively expanding its support for development these sectors. However, there are still several obstacles hindering progress in China. The objective this study is to delve into impact mechanism on Moreover, paper innovatively integrates industrial structure technological innovation process. We elucidate significant roles played by two mediating variables. Simultaneously, we employ bidirectional fixed-effect model, baseline regression, robustness tests analyze data from 31 provinces China between 2012 2021. conclusions as follows: (1) contributes improvement level (2) When influences economy, upgrading play roles. (3) varies across diverse regions This reveals using variables innovation. It enriches research content field extends application scenarios related methods. provide valuable references promoting both

Language: Английский

Citations

3