Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 212, P. 123973 - 123973
Published: Jan. 15, 2025
Language: Английский
Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 212, P. 123973 - 123973
Published: Jan. 15, 2025
Language: Английский
Sustainability, Journal Year: 2024, Volume and Issue: 16(10), P. 4314 - 4314
Published: May 20, 2024
Confronted with challenges such as escalating demand, expanding energy consumption, and emissions, China’s manufacturing sector stands at a pivotal juncture on its path towards sustainable development. Against the backdrop of new wave technological revolution industrial transformation, exploring how digital economy can foster growth in green total factor productivity (GTFP), particularly amidst diversification, holds significant importance for realizing development objectives. This study employs system generalized method moments (System GMM), encompassing 30 provinces China, to delve deeply into notable dynamic correlation between index GTFP. The findings reveal that advancement significantly influences GTFP, underscoring direct enduring impact productivity. Key mechanisms through which promotes are identified, including resource optimization, innovation, data-driven decision making, transformation environmentally behaviors. By bridging gaps existing literature, this integrates economic environmental perspectives, emphasizing necessity formulating innovation policies aligned It provides richer insights role enhancing accentuating potential technologies driving transformation. With holistic approach, combines efficiency sustainability, offering crucial guidance policymakers industry stakeholders crafting strategies.
Language: Английский
Citations
4Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 55, P. 101553 - 101553
Published: Sept. 1, 2024
Language: Английский
Citations
4Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 211, P. 115308 - 115308
Published: Dec. 30, 2024
Language: Английский
Citations
4Applied Economics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17
Published: Jan. 7, 2025
This paper studies the impact of digital financial inclusion (DFI) on China's carbon emissions and aims to inform evidence-based policies using an artificial neural networks approach. We show that DFI reduces CO2 per capita, particularly in moderately industrialized, technologically underdeveloped, less urbanized cities. Additionally, we observe a more pronounced U-shaped relationship between value added by secondary industry capita cities with high levels DFI.This emphasizes need for implementing additional environmental mitigate negative effects later stages development highly digitally inclusive The findings speak policymakers, researchers, practitioners who seek sustainable solutions.
Language: Английский
Citations
0Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 212, P. 123973 - 123973
Published: Jan. 15, 2025
Language: Английский
Citations
0