Research on Whether Artificial Intelligence Affects Industrial Carbon Emission Intensity Based on the Perspective of Industrial Structure and Government Intervention DOI Open Access

Ping Han,

Tingting He, Can Feng

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9368 - 9368

Published: Oct. 28, 2024

Artificial intelligence serves as the fundamental catalyst for a new wave of technological innovation and industrial transformation. It holds vital importance in reaching carbon reduction targets objectives “carbon peak neutrality”. This factor contributes significantly to emissions domain. article utilizes panel data from 30 provinces China, covering years 2013 2021, develop an evaluation framework assessing progress artificial development. Through use double fixed-effect models, mediation effect threshold empirical analysis examines effects its operating mechanisms. Research indicates that advancement AI can reduce emission intensity within sector. conclusion remains valid following comprehensive robustness tests. Furthermore, there exists temporal regional variability AI’s impact on reduction, particularly more pronounced after 2016 central western regions. influences China’s sector through optimization structures. Here, increase senior-level operations acts partial masking effect, while mediator. The relationship between is non-linear, being influenced by government intervention; minimal intervention weakens reduction. These findings enhance our understanding factors influencing contribute AI-related research. They also lay solid groundwork promoting domain via AI. Additionally, results offer valuable insights formulating policies aimed at green transformation industry.

Language: Английский

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

70
The impact of artificial intelligence on employment: the role of virtual agglomeration DOI Creative Commons
Yang Shen, Xiuwu Zhang

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Jan. 18, 2024

Abstract Sustainable Development Goal 8 proposes the promotion of full and productive employment for all. Intelligent production factors, such as robots, Internet Things, extensive data analysis, are reshaping dynamics labour supply demand. In China, which is a developing country with large population force, analysing impact artificial intelligence technology on market particular importance. Based panel from 30 provinces in China 2006 to 2020, two-way fixed-effect model two-stage least squares method used analyse AI assess its heterogeneity. The introduction installation represented by industrial robots Chinese enterprises has increased number jobs. results some mechanism studies show that increase productivity, deepening capital refinement division been introduced into through robotics have successfully mitigated damaging adoption robot employment. Rather than traditional perceptions crowding out jobs, overall exerted promotional effect. positive effect exhibits an inevitable heterogeneity, it serves relatively improves job share women workers labour-intensive industries. Mechanism research shown virtual agglomeration, evolved agglomeration era digital economy, important channel increasing findings this study contribute understanding modern technologies well-being people countries. To give play role employment, we should improve social security system, accelerate process high-end domestic deepen reform education training system.

Language: Английский

Citations

55
Other’s shoes also fit well: AI technologies contribute to China’s blue skies as well as carbon reduction DOI
Zhongzhu Chu, Pengyu Chen, Zihan Zhang

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 353, P. 120171 - 120171

Published: Jan. 25, 2024

Language: Английский

Citations

20
Future jobs: analyzing the impact of artificial intelligence on employment and its mechanisms DOI
Yang Shen

Economic Change and Restructuring, Journal Year: 2024, Volume and Issue: 57(2)

Published: Feb. 15, 2024

Language: Английский

Citations

14
How does the digital economy affect carbon emissions from tourism? Empirical evidence from China DOI
Liguo Wang, Haoxiang Zhao, Jiawei Liu

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 469, P. 143175 - 143175

Published: July 17, 2024

Language: Английский

Citations

13
How Does Artificial Intelligence Impact Green Development? Evidence from China DOI Open Access
Mingyue Chen, Shuting Wang, Xiaowen Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(3), P. 1260 - 1260

Published: Feb. 2, 2024

Artificial intelligence not only changes the production methods of traditional industries but also provides an important opportunity to decouple industrial development from environmental degradation and promote green economic growth. In order further explore value AI, this paper constructs indicator robot penetration at regional level, based on idea Bartik’s instrumental variable, measures efficiency using improved Super-SBM model. Based a comprehensive explanation influence mechanism, spatial measurement model mediating effect are constructed test spillover transmission mechanism between AI development. This study shows that (1) there is significant inverted U shape in impact development; (2) heterogeneity analysis finds structural dividend more obvious capital-intensive technology-intensive areas, which can fully release its empowering (3) directly affect indirectly by promoting technology innovation optimizing structures, etc.; (4) has U-shaped development, local radiation-driven performance spatially related areas. The research methodology be used for future research, results could provide support formulation applications policies.

Language: Английский

Citations

9
The Synergy of Pollution and Carbon Reduction by Green Fiscal Policy: A Quasi-Natural Experiment Utilizing a Pilot Program from China’s Comprehensive Demonstration Cities of Energy Conservation and Emission Reduction Fiscal Policy DOI Open Access
Lei Xu, Shiguang Peng, Le Wang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 667 - 667

Published: Jan. 16, 2025

Using data from 2003 to 2019 for China’s 257 cities, this quantitative research utilizes the difference-in-differences approach evaluate synergy of Comprehensive Demonstration Cities Energy Conservation and Emission Reduction Fiscal Policy on pollution carbon reduction. The primary results are as follows. policy successfully reduces total emissions industrial SO2, wastewater, CO2, thus achieving desired synergistic effect Facilitating green technological innovation promoting upgrading transmission mechanisms through which operates. negative SO2 CO2 is greater in eastern area than mid-western impact decreasing more pronounced non-resource-based cities compared resource-based cities. This study provides an empirical reference fiscal with respect reducing air pollution, wastewater greenhouse gas emissions.

Language: Английский

Citations

1
The impact of peer effect of industrial robot application on enterprise carbon emission reduction DOI Creative Commons
Jinhua Guo, Shuaiwen Chang, Mengnan Guo

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: May 27, 2024

Abstract The application of intelligent technology, such as industrial robots, is related to the environmental governance effectiveness enterprises and realization goal “carbon peak carbon neutrality”. Due their similar external environments, driven by economic rationality, peer will mimic robotics applications other enterprises, which in turn affect enterprises' emissions. However, little literature has explored impact robot on enterprise emissions from perspective effect. Based data Shanghai Shenzhen A-share manufacturing listed China 2011 2021, this paper explores emission reduction It found that industry effect regional brought robots are conducive promoting enterprises. Among them, promotes enhancing green innovation ability while improving service level further degree competition regulation have inverted U-shaped moderating effects effect, reduction, respectively. results enrich research provide policy implications for performance

Language: Английский

Citations

7
Towards a low-carbon and beautiful world: assessing the impact of digital technology on the common benefits of pollution reduction and carbon reduction DOI
Yang Shen, Xiuwu Zhang

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(8)

Published: July 4, 2024

Language: Английский

Citations

7
Can digital technology reduce carbon emissions? Evidence from Chinese cities DOI Creative Commons
Hui Liu, Lili Wang, Yang Shen

et al.

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

Published: Aug. 28, 2023

Introduction Global warming presents significant challenges to the sustainable development of human society. Accelerating achievement carbon peak and neutrality is vision for creating a global ecological community with shared future. The digital technology provides us direction action. Methods Based on panel data from 276 cities in China 2011 2020, principal component analysis was used measure basic state at city level, twoway fixed effects model instrumental variable method verify impact emissions perspective diffusion. Results results show that deep diffusion real economy sector helpful improve productivity efficiency, thus significantly reducing emissions. role technologies heterogeneous. sub-sample test has stronger emission reduction effect large-scale cities, resource-based smart trading policy pilot areas. Digital can reduce by improving energy promoting green innovation, virtual agglomeration. Discussions contribution this paper it not only reveals but also analyzes path new perspective. conclusion implications accelerating accelerate realization production cope climate change.

Language: Английский

Citations

15