Enhancing ESG Performance through Digital Transformation: Insights from China's Manufacturing Sector DOI
Xiaowei Ding, Darko Vuković,

Boris I. Sokolov

и другие.

Technology in Society, Год журнала: 2024, Номер 79, С. 102753 - 102753

Опубликована: Ноя. 1, 2024

Язык: Английский

Does digitalization mitigate regional inequalities? Evidence from China DOI Creative Commons
Haimeng Liu,

Xinyang Wang,

Zheye Wang

и другие.

Geography and sustainability, Год журнала: 2023, Номер 5(1), С. 52 - 63

Опубликована: Ноя. 10, 2023

Regional inequality significantly influences sustainable development and human well-being. In China, there exists pronounced regional disparities in economic digital advancements; however, scant research delves into the interplay between them. By analyzing digitalization gaps at city levels extending original Cobb-Douglas production function, this study aims to evaluate impact of on China's using seemingly unrelated regression. The results indicate a greater emphasis compared disparity, with variable coefficients 0.59 for GDP per capita 0.92 index over past four years. However, demonstrates higher spatial concentration than digitalization. Notably, both have shown gradual reduction recent southeastern region Hu Huanyong Line exhibits superior rates advancement contrast northwestern region. While propels growth, it yields nuanced achieving balanced development, encompassing positive negative facets. Our highlights that marginal utility advancing is more less developed regions, but only if government invests infrastructure education these areas. This study's methodology can be utilized subsequent research, our findings hold potential government's investment policy-making.

Язык: Английский

Процитировано

23

Does Digital Transformation Contribute to Corporate Carbon Emissions Reduction? Empirical Evidence from China DOI Open Access
Jun Gao, Ning Xu,

Ju Zhou

и другие.

Sustainability, Год журнала: 2023, Номер 15(18), С. 13414 - 13414

Опубликована: Сен. 7, 2023

The digital transformation of enterprises is a significant catalyst for achieving cleaner production and directly affects company’s carbon performance. This research elucidates the theoretical logic potential impact mechanisms in reducing corporate emissions. Second, using panel data set Chinese A-share listed companies from 2007 to 2020, this study quantitatively investigates effect on emissions intensity businesses. empirical results indicate that has statistically negative firms. Several robustness tests have validated conclusion. heterogeneity analysis reveals state-owned businesses, firms with high intensity, those strong financing capacity would benefit more goal Furthermore, emission abatement prominent industries limited technological input energy consumption. At regional level, cities stringent environmental regulation, advanced marketization, resource-based economies. transmission mechanism confirms improving use efficiency, enhancing financial performance, fostering green innovation are crucial through which can help decrease their These findings assist comprehending role lowering provide them valuable insights.

Язык: Английский

Процитировано

22

A comprehensive review integration of digitalization and circular economy in waste management by adopting artificial intelligence approaches: Towards a simulation model DOI
Seyed reza seyyedi, Elaheh Kowsari, Mohammad Gheibi

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 460, С. 142584 - 142584

Опубликована: Май 18, 2024

Язык: Английский

Процитировано

14

What does the digital economy bring to household carbon emissions? – From the perspective of energy intensity DOI

Zhili Du,

Jie Xu, Boqiang Lin

и другие.

Applied Energy, Год журнала: 2024, Номер 370, С. 123613 - 123613

Опубликована: Июнь 7, 2024

Язык: Английский

Процитировано

13

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

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 469, С. 143175 - 143175

Опубликована: Июль 17, 2024

Язык: Английский

Процитировано

13

Digital economy solutions towards carbon neutrality: The critical role of energy efficiency and energy structure transformation DOI
Chenchen Huang, Boqiang Lin

Energy, Год журнала: 2024, Номер 306, С. 132524 - 132524

Опубликована: Июль 20, 2024

Язык: Английский

Процитировано

13

Understanding the nonlinear effect of digital technology development on CO2 reduction DOI
Aleksy Кwilinski

Sustainable Development, Год журнала: 2024, Номер 32(5), С. 5797 - 5811

Опубликована: Апрель 12, 2024

Abstract Digital technology, including advancements in artificial intelligence, the Internet of Things, and data analytics, has potential to revolutionize tackling problem carbon dioxide emissions achieving sustainable development. The paper aims at checking nature impact digital technology development on reduction for EU countries 2013–2020. study applies following methods: entropy methods, panel‐corrected standard error, feasible generalized least squares. index enabled classification all into two distinct groups: High Technology Development Moderate/Lower Development. findings confirm that a significant decreasing emissions. In first stage, growth causes faster decrease However, beyond certain threshold, further improvement results diminishing marginal benefits CO2 reduction. Thus, government should catalyze extension technologies among sectors levels. addition, it requires enhancing literacy society local authorities.

Язык: Английский

Процитировано

12

The role of green finance and digital inclusive finance in promoting economic sustainable development: A perspective from new quality productivity DOI
Tao Xu,

Guodong Yang,

Tingqiang Chen

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122892 - 122892

Опубликована: Окт. 23, 2024

Язык: Английский

Процитировано

11

Smarter and cleaner: How does energy digitalization affect carbon productivity? DOI Creative Commons

Ziyi Shi,

Lawrence Loh,

Hongshuang Wu

и другие.

Energy Strategy Reviews, Год журнала: 2024, Номер 52, С. 101347 - 101347

Опубликована: Фев. 28, 2024

Digitalization is a driving force behind the ongoing energy industrial revolutions, catalyzing China's pursuit of carbon neutrality and sustainable development. Leveraging provincial data annual reports from enterprises in China, this study constructs comprehensive analytical framework that encompasses benchmark regression models, mediating effect threshold spatial econometric models. These models are utilized to investigate multi-faceted impacts digitalization on productivity (CP). The aim furnish micro-level evidence policy guidance for advancing transformation fostering low-carbon development enriched with digital elements. This research employs natural language processing machine learning techniques compute an Energy Index, examining two critical dimensions: industry investment inclination toward transformation. following key findings emerge: firstly, (ED) exhibits statistically significant ability enhance regional CP, phenomenon marked by temporal variations. Secondly, analysis confirms transmission mechanisms associated technology innovation, structure, utilization efficiency, as revealed through Logarithmic Mean Divisia Index (LMDI) decomposition method. Furthermore, optimal economies materializes settings characterized mature market conditions, modest environmental regulations, advanced infrastructure, reduced resource dependency. Additionally, Markov chain unveils conspicuous distribution pattern termed "club convergence" accompanied pronounced "Matthew effect." According Durbin model, generates favorable spillover effects, primarily peripheral regions, more short-term influence. Building upon these insights, paper presents pertinent recommendations encompassing national "digital energy" strategy, differentiation policies, initiatives stimulate innovation among enterprises. Our robust empirical constructive empowering governments forge smarter cleaner ecosystem. offer valuable other developing nations seeking implement effective strategies.

Язык: Английский

Процитировано

10

Digital divide and environmental pressure: A countermeasure on the embodied carbon emissions in FDI DOI
Lei Wang, Thomas Stephen Ramsey

Technological Forecasting and Social Change, Год журнала: 2024, Номер 204, С. 123398 - 123398

Опубликована: Апрель 24, 2024

Язык: Английский

Процитировано

9