Lecture notes in networks and systems, Год журнала: 2025, Номер unknown, С. 127 - 140
Опубликована: Янв. 1, 2025
Язык: Английский
Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(7), С. 11128 - 11149
Опубликована: Янв. 13, 2024
Язык: Английский
Процитировано
6
Resources Policy, Год журнала: 2024, Номер 91, С. 104833 - 104833
Опубликована: Фев. 27, 2024
Язык: Английский
Процитировано
6
Resources Policy, Год журнала: 2024, Номер 91, С. 104847 - 104847
Опубликована: Март 11, 2024
Язык: Английский
Процитировано
6
Resources Policy, Год журнала: 2024, Номер 91, С. 104747 - 104747
Опубликована: Март 14, 2024
Язык: Английский
Процитировано
6
Frontiers in Environmental Science, Год журнала: 2024, Номер 12
Опубликована: Март 15, 2024
Carbon emissions have become a global challenge that threatens human development. Governments taken various measures to reduce carbon emissions, and green finance is an important innovative way realize emission reductions. This paper uses data on prefecture-level city in China explore the impact of intensity from both theoretical empirical perspectives, analyzes mechanisms by which affects intensity. On this basis, further efficiency. In addition, introduces variables related digital economy perform comprehensive examination moderating effect development relationship between The results indicate reduces innovation, total factor productivity transformation upgrading industry are mediating mechanisms. Meanwhile, analysis shows improves also finds significantly enhances role reducing promoting efficiency, makes positive contribution reduction. findings will contribute strengthening government’s capacity for environmental protection, developing finance, emissions.
Язык: Английский
Процитировано
6
Heliyon, Год журнала: 2024, Номер 10(13), С. e33312 - e33312
Опубликована: Июнь 21, 2024
Sustainable development has become a strategic consensus in response to the global environmental problems. Green credit is major policy innovation that promotes transformation of economic mode and industrial green (IGT). Using provincial panel data from 2005 2020, we investigate effect on IGT using systematic GMM model, dynamic threshold as well possible nonlinear relationship. Benchmark regression results show can encourage transformation. In addition, there single with value 0.2612. The trend "negative positive". According moderating results, regulation moderates negative manner. As regulations more stringent, contribution will diminish. intermediary mechanism test demonstrates technology marketization level play partial role. Heterogeneity testing confirms function promoting significant regions higher finance lower degree government intervention. Therefore, should financial institutions provide products services meet financing needs different projects, thereby facilitating
Язык: Английский
Процитировано
6
Technological Forecasting and Social Change, Год журнала: 2024, Номер 209, С. 123820 - 123820
Опубликована: Окт. 22, 2024
Язык: Английский
Процитировано
6
Applied Economics, Год журнала: 2025, Номер unknown, С. 1 - 16
Опубликована: Янв. 8, 2025
Green and sustainable has become an inevitable trend of economic development. Therefore, this paper analyzes the spatial characteristics influence mechanism data elements green economy. Firstly, kernel density estimation model is used to analyse characteristics. Secondly, ordinary panel regression explore direct effect on Thirdly, mediation threshold are mechanisms The conclusions as follows: (1) Data economy show increasing trend, increased from 0.090 0.110 in 2013 0.240 0.193 2022, respectively. (2) significantly promote economy, but there regional heterogeneity. impact strongest North, followed by East, South, Central, West. (3) through innovation-driven intermediary role, was 0.128, accounted for 53.11% total proportion. (4) a non-linear With thresholds at element values 0.020 0.023, follows pattern.
Язык: Английский
Процитировано
0
International Journal of Production Research, Год журнала: 2025, Номер unknown, С. 1 - 25
Опубликована: Янв. 8, 2025
Climate change is emerging as a significant threat to sustainable human development in the coming decades, and thirteenth of United Nations' Sustainable Development Goals (SDGs) aims precisely mitigate this through practical action. We employ composite system synergy model measure between China's industrial innovation chains explore pathways for listed enterprises achieve carbon neutrality pursuit SDGs. The findings reveal an upward trend synergistic degree chains, with greater observed eastern regions. combined two demonstrates ability intensity emissions across digital advancements green technology. Additionally, disparities geographical location, marketisation, nature enterprise equity, pollution levels are found exert asymmetric effects on emissions. Moreover, finance emerges mediator enhancing inhibitory effect dual-chain emission intensity. Our results trigger important policy narratives: coupling interaction government market can deliver facilitate steadfast transition low-carbon economy businesses.
Язык: Английский
Процитировано
0
Economic Change and Restructuring, Год журнала: 2025, Номер 58(1)
Опубликована: Янв. 18, 2025
Язык: Английский
Процитировано
0