Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 9, 2024
Language: Английский
Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 55, P. 101505 - 101505
Published: Aug. 27, 2024
Language: Английский
Citations
4
Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: 493, P. 144924 - 144924
Published: Feb. 1, 2025
Language: Английский
Citations
0
Systems, Journal Year: 2025, Volume and Issue: 13(3), P. 153 - 153
Published: Feb. 25, 2025
In the current context of increasingly severe global environmental problems, green innovation policies have attracted much attention as an important means to promote sustainable economic development, achieve efficient resource utilization, and be environmentally friendly. Since involves various factors such technology research development policy support, active cooperation coordination among governments at all levels are required. Therefore, theoretical analysis game strategy regional is particularly important. This paper focuses on inter-governmental collaboration, constructs a tripartite evolutionary model between central government different local governments, analyzes revenue situation each party under tendencies, studies impact changes in tax stability through simulation analysis. The results show that adoption punitive by more conducive formation stable collaborative governance mechanism. addition direct costs benefits, coefficient reduction enterprise profits also key affecting governance. On this basis, discusses strategies promoting from perspectives puts forward recommendations mechanism construction specific operational levels, providing guidance for cooperation.
Language: Английский
Citations
0
Research in International Business and Finance, Journal Year: 2025, Volume and Issue: unknown, P. 102847 - 102847
Published: Feb. 1, 2025
Language: Английский
Citations
0
Environmental Pollution, Journal Year: 2025, Volume and Issue: unknown, P. 126025 - 126025
Published: March 1, 2025
Language: Английский
Citations
0
Journal of the Knowledge Economy, Journal Year: 2025, Volume and Issue: unknown
Published: March 8, 2025
Language: Английский
Citations
0
Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8602 - 8602
Published: Oct. 3, 2024
This research uses advanced statistical methods to examine climate change mitigation policies’ economic and environmental impacts. The primary objective is assess the effectiveness of carbon pricing, renewable energy subsidies, emission trading schemes, regulatory standards in reducing CO2 emissions, fostering growth, promoting employment. A mixed-methods approach was employed, combining regression analysis, cost–benefit analysis (CBA), computable general equilibrium (CGE) models. Data were collected from national global databases, sensitivity analyses conducted ensure robustness findings. Key findings revealed a statistically significant reduction emissions by 0.45% for each unit increase pricing (p < 0.01). Renewable subsidies positively correlated with 3.5% employment green sector 0.05). Emission schemes projected GDP 1.2% over decade However, chi-square tests indicated that disproportionately affects low-income households 0.05), highlighting need compensatory policies. study concluded balanced policy mix, tailored contexts, can optimise outcomes while addressing social equity concerns. Error margins projections remained below ±0.3%, confirming models’ reliability.
Language: Английский
Citations
3
Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 208, P. 115061 - 115061
Published: Nov. 1, 2024
Language: Английский
Citations
3
Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123568 - 123568
Published: Dec. 4, 2024
Language: Английский
Citations
2
Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 6760 - 6760
Published: Aug. 7, 2024
In the midst of rigorous market rivalry, enhancing a company’s competitiveness and operational efficiency in an era rapid IT advancement is pressing concern for business leaders. The National Big Data Comprehensive Zone (BDCZ) pilot scheme, instituted by Chinese government, systematically addresses seven core objectives, encompassing data resource management, sharing disclosure, center consolidation, application resources, circulation elements. This policy initiative aims to bolster establishment information infrastructure through big applications, facilitate influx movement talent, propel corporate sustainable growth. Utilizing quasi-natural experiment approach, we assess policy’s influence on digital-intelligent transformation (DIT) manufacturing companies from green innovation ecosystem perspective, employing datasets 2010 2022, methodologies such as Difference-in-Differences (DID), Synthetic Differences-in-Differences (SDID), Propensity Score Matching-DID (PSM-DID). findings indicate that BDCZ significantly fosters DIT companies. confers benefits, including access increased government support capital, thereby sustainability efforts. It also strengthens collaboration, engendering synergistic benefits improve regional economic progression establish conducive environment digital development, ultimately ecosystem. impact varies across entities, with more profound effects observed developed financial markets compared underdeveloped ones. Additionally, non-state-owned exhibit greater response interventions than their state-owned counterparts. Moreover, bussiness higher proportion executive shareholding are substantially influenced BDCZ. article fills research gap using test provides inspiration local governments mobilize enthusiasm DIT.
Language: Английский
Citations
1