Artificial Intelligence and Carbon Emissions in Manufacturing Firms: The Moderating Role of Green Innovation DOI Open Access

Yixuan Chen,

Shanyue Jin

Processes, Journal Year: 2023, Volume and Issue: 11(9), P. 2705 - 2705

Published: Sept. 10, 2023

Carbon emissions have gained worldwide attention in the industrial era. As a key carbon-emitting industry, achieving net-zero carbon manufacturing sector is vital to mitigating negative effects of climate change and sustainable development. The rise intelligent technologies has driven structural transformations that may help achieve reduction. Artificial intelligence (AI) technology an important part digitalization, providing new technological tools directions for low development enterprises. This study selects Chinese A-share listed companies industry from 2012 2021 as research objects uses fixed-effects regression model relationship between AI emissions. clarifies significance enterprise applications realizing reduction explores regulatory mechanism perspective innovation effect. results show application positively impacts Simultaneously, green innovation, management product play moderating roles; other words, strengthens effect on necessity enriches theories related

Language: Английский

Digitalization, competition strategy and corporate innovation: Evidence from Chinese manufacturing listed companies DOI
Huwei Wen, Qiming Zhong, Chien‐Chiang Lee

et al.

International Review of Financial Analysis, Journal Year: 2022, Volume and Issue: 82, P. 102166 - 102166

Published: April 23, 2022

Language: Английский

Citations

450

The effects of low-carbon pilot policy on technological innovation: Evidence from prefecture-level data in China DOI
Chen Zhu, Chien‐Chiang Lee

Technological Forecasting and Social Change, Journal Year: 2022, Volume and Issue: 183, P. 121955 - 121955

Published: Aug. 19, 2022

Language: Английский

Citations

202

China's progress toward sustainable development in pursuit of carbon neutrality: Regional differences and dynamic evolution DOI
Huwei Wen,

Weitao Liang,

Chien‐Chiang Lee

et al.

Environmental Impact Assessment Review, Journal Year: 2022, Volume and Issue: 98, P. 106959 - 106959

Published: Oct. 21, 2022

Language: Английский

Citations

142

The digital economy, industrial structure upgrading, and carbon emission intensity —— empirical evidence from China's provinces DOI Creative Commons
Honglong Chang,

Qingyi Ding,

Wanzheng Zhao

et al.

Energy Strategy Reviews, Journal Year: 2023, Volume and Issue: 50, P. 101218 - 101218

Published: Oct. 20, 2023

The digital economy plays a pivotal role in assisting the world tackling climate change. This paper explores intrinsic mechanism of on carbon emissions intensity. Initially, it scrutinizes suppressive effect intensity, as well mediating industrial structure upgrading, theoretical level. Subsequently, utilizes provincial panel data from China between 2010 and 2019 to investigate quantitative relationship intensity empirically. results revealed that, firstly, significantly diminishes intensity; secondly, confirms significant upgrading; thirdly, increased levels economic development, market openness, human capital, technological advancement, urbanization all have constructive moderating effects emission reduction facilitated by economy; fourthly, influence has spatial spill-overs. contributes an integrated analytical framework method for studying economy, Furthermore, offers valuable insight suggestions policy-making concerning economy's contribution reduction.

Language: Английский

Citations

118

The effect of broadband infrastructure construction on urban green innovation: Evidence from a quasi-natural experiment in China DOI
Yuan Feng, Zhi Chen, Changfei Nie

et al.

Economic Analysis and Policy, Journal Year: 2022, Volume and Issue: 77, P. 581 - 598

Published: Dec. 24, 2022

Language: Английский

Citations

95

THE EFFECTS OF INTERNATIONAL SANCTIONS ON GREEN INNOVATIONS DOI Creative Commons
Qiang Fu, Qiang Gong, Xinxin Zhao

et al.

Technological and Economic Development of Economy, Journal Year: 2022, Volume and Issue: 29(1), P. 141 - 164

Published: Nov. 24, 2022

Since China is facing a complicated international situation and sustainable development requirement at the same time, this paper examines effects of external uncertainty, sanctions, on green innovations by adopting system generalized method moments (GMM) estimation for 30 provinces (autonomous region municipalities) from 1997 to 2019. We employ inventions as dependent variable 5 indicators sanctions (including unilateral, plurilateral, multilateral, economic, intensity) main explanatory variables alternately. For further robustness tests, we use substitution utility models, adopt sub-samples in different regions, change empirical methodology, add omitted variables. also examine mechanism three possible channels. The conclusion that plurilateral economic both present significant negative impacts innovations, whereas was not affected unilateral or multilateral during sample period. GDP, interpersonal globalization, environment are proved be channels through which affect innovations. Our research findings should assist Chinese-listed companies suffering make better responses their way

Language: Английский

Citations

85

Dynamics of renewable energy research, investment in EnvoTech and environmental quality in the context of G7 countries DOI

Haicheng Shu,

Yu Wang, Muhammad Umar

et al.

Energy Economics, Journal Year: 2023, Volume and Issue: 120, P. 106582 - 106582

Published: Feb. 21, 2023

Language: Английский

Citations

61

Urban climate adaptability and green total-factor productivity: Evidence from double dual machine learning and differences-in-differences techniques DOI Creative Commons
Huwei Wen,

Keyu Hu,

Xuan‐Hoa Nghiem

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 350, P. 119588 - 119588

Published: Nov. 24, 2023

Climate change has increasingly become a significant challenge to sustainable socio-economic development, and climate adaptation is key issue that relevant research focuses on regional development models. By employing panel data between 2007 2020 from 284 Chinese prefecture-level cities, this study adopts quasi-experimental methods, including difference-in-differences design double dual machine learning model, the impact of adaptability green development. Empirical results confirm pilot policy building climate-resilient cities significantly improves urban total-factor productivity. Difference-in-difference models (derived entropy-weight propensity score matching) also support improving effect productivity after intervention. The digital economy strengthened policies for climate-adaptive cities. In addition, interventions build promote by optimizing industrial structures enhancing economic growth resilience. can attract highly skilled talent high-quality enterprises, facilitate science technological progress in areas, thus promoting China. This objectively evaluates effects provides insights global optimization public policies.

Language: Английский

Citations

49

How does innovative city policy break carbon lock-in? A spatial difference-in-differences analysis for China DOI
Congyu Zhao, Kun Wang, Kangyin Dong

et al.

Cities, Journal Year: 2023, Volume and Issue: 136, P. 104249 - 104249

Published: Feb. 27, 2023

Language: Английский

Citations

47

The low-carbon effect of pursuing the honor of civilization? A quasi-experiment in Chinese cities DOI
Ge Li, Huwei Wen

Economic Analysis and Policy, Journal Year: 2023, Volume and Issue: 78, P. 343 - 357

Published: March 21, 2023

Language: Английский

Citations

46