Environment Development and Sustainability, Год журнала: 2024, Номер unknown
Опубликована: Июнь 27, 2024
Язык: Английский
Environment Development and Sustainability, Год журнала: 2024, Номер unknown
Опубликована: Июнь 27, 2024
Язык: Английский
Finance research letters, Год журнала: 2023, Номер 60, С. 104910 - 104910
Опубликована: Дек. 20, 2023
Язык: Английский
Процитировано
43Journal of Environmental Management, Год журнала: 2024, Номер 355, С. 120491 - 120491
Опубликована: Март 1, 2024
Язык: Английский
Процитировано
23Journal of Environmental Management, Год журнала: 2023, Номер 351, С. 119765 - 119765
Опубликована: Дек. 12, 2023
Язык: Английский
Процитировано
40Kybernetes, 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
26Energy Economics, Год журнала: 2024, Номер 139, С. 107883 - 107883
Опубликована: Сен. 3, 2024
Язык: Английский
Процитировано
14Research in International Business and Finance, Год журнала: 2024, Номер 73, С. 102541 - 102541
Опубликована: Авг. 27, 2024
Язык: Английский
Процитировано
12Systems, 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
11Energy 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
10International Review of Financial Analysis, Год журнала: 2024, Номер 97, С. 103777 - 103777
Опубликована: Ноя. 10, 2024
Язык: Английский
Процитировано
10Resources Policy, Год журнала: 2024, Номер 91, С. 104920 - 104920
Опубликована: Март 23, 2024
Язык: Английский
Процитировано
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