An Empirical Analysis of the Impact of Digital Economy on Manufacturing Green and Low-Carbon Transformation under the Dual-Carbon Background in China DOI Open Access
Wei Zhang,

Hao Zhou,

Jie Chen

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(20), P. 13192 - 13192

Published: Oct. 13, 2022

The deep integration of digital economy and green development has become an inevitable requirement important aid in achieving the goal carbon peaking neutrality promoting high-quality economic development. At same time, manufacturing industry is main sector energy consumption emissions China force for goals. This paper constructs a mathematical model to measure scale efficiency green, low-carbon transformation industry. It builds panel data study effect on based 30 Chinese provinces from 2016 2020. results find that (1) there significant positive industry, with impact coefficient 0.477, this finding remains robustness test. (2) A further test mediating finds can drive by enhancing technological innovation, it shows partial accounts 28% total effect. (3) In regional heterogeneity analysis, found more prominent central region, coefficients are 0.684, 0.806, 0.340, 0.392 east, central, west, northeast regions, respectively. provide theoretical basis policy support governments enterprises.

Language: Английский

Digital economy and carbon dioxide emissions: Examining the role of threshold variables DOI Creative Commons

Qiang Wang,

Jiayi Sun, Uğur Korkut Pata

et al.

Geoscience Frontiers, Journal Year: 2023, Volume and Issue: 15(3), P. 101644 - 101644

Published: June 5, 2023

Considering that previous literature has mainly focused on the impact of digital economy (DE) environmental degradation, ignoring role natural resources, this study uses two key factors (natural resource rent and anticorruption regulation) as threshold variables to reveal effect resources association between DE carbon dioxide (CO2) emissions. In doing so, covers 97 countries, annual data 2003 2019, applies a panel model. The outcomes present influence CO2 emissions single-threshold (i.e., there is an inverted U-shaped link emissions) when variable. Specifically, significantly increases at low-to-medium level, but suppresses growth exceeds threshold. Moreover, drives overall regulation variable are double thresholds for its rise in initially exacerbates contribution then weakens it over time. Based results, proposes various implications, such formulating development strategy, considering DE, strengthening anti-corruption efforts field protection.

Language: Английский

Citations

152

How does digitalization drive carbon emissions? The inverted U-shaped effect in China DOI

Ruijing Zheng,

Ge Wu, Yu Cheng

et al.

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 102, P. 107203 - 107203

Published: July 20, 2023

Language: Английский

Citations

108

Effects of digital economy on carbon emission intensity in Chinese cities: A life-cycle theory and the application of non-linear spatial panel smooth transition threshold model DOI
Ling Bai, Tianran Guo, Wei Xu

et al.

Energy Policy, Journal Year: 2023, Volume and Issue: 183, P. 113792 - 113792

Published: Sept. 1, 2023

Language: Английский

Citations

80

The digital economy, spatial spillovers and forestry green total factor productivity DOI
Chen Chen, Feng Ye, Hui Xiao

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 405, P. 136890 - 136890

Published: March 23, 2023

Language: Английский

Citations

78

Green growth and carbon neutrality targets in China: Do financial integration and ICT matter? DOI
Shiyong Zheng, Danish Ahmed, Yuantao Xie

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 405, P. 136923 - 136923

Published: March 25, 2023

Language: Английский

Citations

76

Technology-driven carbon reduction: Analyzing the impact of digital technology on China's carbon emission and its mechanism DOI
Yajun Liu, Xiuwu Zhang, Yang Shen

et al.

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 200, P. 123124 - 123124

Published: Dec. 21, 2023

Language: Английский

Citations

74

Has the Digital Economy Reduced Carbon Emissions?: Analysis Based on Panel Data of 278 Cities in China DOI Open Access

Zhuoxi Yu,

Shan Liu, Zhichuan Zhu

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(18), P. 11814 - 11814

Published: Sept. 19, 2022

China is undergoing an urbanization process at unprecedented scale, and low-carbon urban development of great significance to the completion “dual carbon goals”. At same time, digital economy has become important engine for development, its role in environmental improvement increasingly prominent. While booming, can it promote cities? Based on panel data 278 cities from 2011 2019, this paper discusses impact emissions long-term trend between emissions, differences level reduction, green energy efficiency relationship emissions. The results show that a significant inhibitory effect with economy, more absolute decoupling are turning development. heterogeneous With emission reduction significant. As threshold variable, affects When low, promotes when high, reduces

Language: Английский

Citations

69

Does digital inclusive finance affect urban carbon emission intensity: Evidence from 285 cities in China DOI
Hui Zhao, Shaowei Chen, Weike Zhang

et al.

Cities, Journal Year: 2023, Volume and Issue: 142, P. 104552 - 104552

Published: Aug. 30, 2023

Language: Английский

Citations

68

Digital empowerment and win-win co-operation for green and low-carbon industrial development: Analysis of regional differences based on GMM-ANN intelligence models DOI
Kaisheng Di, Weidong Chen, Qiumei Shi

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 445, P. 141332 - 141332

Published: Feb. 17, 2024

Language: Английский

Citations

51

Impact of digital technology on carbon emissions: Evidence from Chinese cities DOI Creative Commons
Yang Shen,

Zhihong Yang,

Xiuwu Zhang

et al.

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 11

Published: April 24, 2023

Introduction Promoting the development of digital technology is an important step in meeting challenge global climate change and achieving carbon peaking neutrality goals. Methods Based on panel data Chinese cities from 2006 to 2020, this paper used econometrics investigate impact mechanism emissions. Results The results showed that can significantly reduce emission intensity improve efficiency. These remained robust after changing estimation method, adding policy omission variables, replacing core solving endogeneity problem. Digital indirectly emissions by promoting green technological innovation reducing energy intensity, it plays a significant role reduction practices trading policies comprehensive national big pilot zones. replicability, non-exclusivity, high mobility help accelerate spread knowledge information between different cities, which leads spillover effect reductions. Our unconditional quantile regression model technology’s continuously decreases with increases dioxide Discussion provide evidence for potential use goal neutrality, great significance high-quality transformation economy society.

Language: Английский

Citations

50