How does digital economy affect synergy of carbon mitigation and pollution reduction? Evidence from next-generation internet demonstration city construction in China DOI
Yuan Feng, Jiaxin Liu, Changfei Nie

и другие.

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Июнь 27, 2024

Язык: Английский

Digital economy policy and corporate low-carbon innovation: Evidence from a quasi-natural experiment in China DOI
Ahmed Imran Hunjra, Shikuan Zhao, John W. Goodell

и другие.

Finance research letters, Год журнала: 2023, Номер 60, С. 104910 - 104910

Опубликована: Дек. 20, 2023

Язык: Английский

Процитировано

43

Promoting sustainable development: Revisiting digital economy agglomeration and inclusive green growth through two-tier stochastic frontier model DOI
Ruili Ma, Hua Liu, Zipeng Li

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 355, С. 120491 - 120491

Опубликована: Март 1, 2024

Язык: Английский

Процитировано

23

The impact of digital economy on carbon total factor productivity: A spatial analysis of major urban agglomerations in China DOI
Weidong Chen, Lianxiao Yao

Journal of Environmental Management, Год журнала: 2023, Номер 351, С. 119765 - 119765

Опубликована: Дек. 12, 2023

Язык: Английский

Процитировано

40

Moving toward sustainable development: the influence of digital transformation on corporate ESG performance DOI
Peng Yang, Xiuzi Hao, Liang Wang

и другие.

Kybernetes, Год журнала: 2023, Номер 53(2), С. 669 - 687

Опубликована: Авг. 20, 2023

Purpose Amidst the rapid development of global digital economy, transformation has become a strategic choice that firms must use to respond changing times. This study analyzes impact on corporate environmental, social and governance (ESG) performance. Design/methodology/approach ESG Findings Using panel data from Chinese A-share-listed companies 2010 2019, authors found positive performance, especially for high-tech state-owned firms. In particular, find production marketing exert effect Mechanism tests showed helps promote green innovation, improve information transparency governance, thus enhancing A moderating analysis revealed performance is more significant in with government subsidies chief executive officers (CEOs) rich career experience. Originality/value Most existing research confirmed firms' financial whereas fewer studies have focused non-financial

Язык: Английский

Процитировано

26

Green finance: The catalyst for artificial intelligence and energy efficiency in Chinese urban sustainable development DOI
Ming Zeng, Weike Zhang

Energy Economics, Год журнала: 2024, Номер 139, С. 107883 - 107883

Опубликована: Сен. 3, 2024

Язык: Английский

Процитировано

14

How does the digital economy affect the green transition: The role of industrial intelligence and E-commerce DOI
Chenchen Huang, Min Du, Boqiang Lin

и другие.

Research in International Business and Finance, Год журнала: 2024, Номер 73, С. 102541 - 102541

Опубликована: Авг. 27, 2024

Язык: Английский

Процитировано

12

Blue Sky Protection Campaign: Assessing the Role of Digital Technology in Reducing Air Pollution DOI Creative Commons
Yang Shen, Xiuwu Zhang

Systems, Год журнала: 2024, Номер 12(2), С. 55 - 55

Опубликована: Фев. 5, 2024

Air pollution severely threatens people’s health and sustainable economic development. In the era of digital economy, modern information technology is profoundly changing way governments govern, production mode enterprises, living behavior residents. Whether can bring ecological welfare needs to be further studied. Based on panel data from 269 Chinese cities 2006 2021, this study empirically examines impact air by using two-way fixed effect model. The results show that will significantly reduce concentration fine particles in help protect atmospheric environment. are still valid after interactive model two-stage least square method robustness test causality identification. Digital also promoting green innovation, improving energy efficiency, easing market segmentation. reducing heterogeneous. plays a more substantial role resource-based areas with high degree modernization commodity supply chain. positive affected amount pollutants emitted. When PM2.5 high, protecting atmosphere strongly highlighted. This research beneficial exploration environment while building an civilization society. conclusion urban managers, public, business operators entirely use equipment such as 5G, remote sensing, Internet Things their respective fields

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 trade, trade openness, FDI, and green total factor productivity DOI
Siwei Dai,

Daoyun Tang,

Yunfeng Li

и другие.

International Review of Financial Analysis, Год журнала: 2024, Номер 97, С. 103777 - 103777

Опубликована: Ноя. 10, 2024

Язык: Английский

Процитировано

10

Impact of digital finance on corporate green innovation: Exploring role of land resource misallocation in China DOI

Chunyu Xie,

Linlin Ye,

Nan Zhong

и другие.

Resources Policy, Год журнала: 2024, Номер 91, С. 104920 - 104920

Опубликована: Март 23, 2024

Язык: Английский

Процитировано

9