Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 110, P. 107688 - 107688
Published: Oct. 7, 2024
Language: Английский
Sustainability, Journal Year: 2023, Volume and Issue: 15(18), P. 13414 - 13414
Published: Sept. 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.
Language: Английский
Citations
22
International Journal of Finance & Economics, Journal Year: 2024, Volume and Issue: 30(1), P. 522 - 551
Published: Jan. 17, 2024
Abstract Previous literature indicates that digitalization offers enterprises competitive advantages. However, its potential impact on risk management remains uncertain. Thus, this study explores the causality between digital transformation and systematic of Chinese public companies during 2007–2020. We developed a digital‐related keywords dictionary using textual analysis to identify investments in assets which serve as measure corporate digitalization. Our findings suggest negative correlation enterprise risk. This relationship is further supported by robustness tests, adjustments for endogeneity, random forest predictions. The risk‐reducing effect more pronounced non‐state‐owned, small, high‐asset‐density, low‐investor‐attention enterprises. Additionally, we explore mechanisms: financial leverage channel, operating investor loyalty channel. Empirical observations indicate digitalization: (1) lowers financing costs, curbing an inclination towards excessive debt; (2) enhances operational cost stimulates sales growth; (3) boosts long‐term holdings, decreases stock price synchronization, mitigates crash risks. new insights into assessing sustainability mitigating risks
Language: Английский
Citations
12
Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 192, P. 110222 - 110222
Published: May 11, 2024
Language: Английский
Citations
11
Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 52, P. 101347 - 101347
Published: Feb. 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.
Language: Английский
Citations
10
Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 110, P. 107688 - 107688
Published: Oct. 7, 2024
Language: Английский
Citations
10