Pilot policies for low-carbon cities in China: a study of the impact on green finance development and energy carbon efficiency

Climate Policy, Journal Year: 2024, Volume and Issue: 25(1), P. 137 - 152

Published: June 3, 2024

Improving the efficiency of energy carbon emissions (ECEE) is crucial for China's pursuit high-quality development. This paper assesses low-carbon city pilot policy (LCCPP) as a strategic measure to enhance ECEE and its alignment with global efforts mitigate climate change. By analyzing panel data from 205 Chinese cities 2003 2016, this study evaluates LCCPP's effectiveness spatial spillover effects on ECEE. Results indicate 6.5% increase in compared non-pilot counterparts, these findings substantiated through extensive robustness checks. The analysis underlying mechanisms reveals that LCCPP boosts by promoting green finance co-agglomeration producer services manufacturing. Furthermore, policy's impact varies: it more substantial non-resource-based those advanced synergistic industry agglomerations. Employing difference-in-differences approach, uncovers an inverted U-shaped pattern ECEE, suggesting nuanced regional influence policy. research contributes understanding policy-driven environmental improvements their economic co-benefits within urban settings.

Language: Английский

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Sustainable Finance for Socially Responsible Entrepreneurs

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

Evidence recently had shown that financial decision-making of entrepreneurs has been integrated with environmental, social, and governance considerations. Thus, socially responsible ensure their businesses through involving sustainable finance contribute positively to society the environment while achieving economic growth. This chapter focused on elucidating key strategies mechanisms support for entrepreneurs. It suggests by leveraging green financing, equity social impact investing, microfinance, sustainability-linked loans, public-private partnerships, banking practices, can access resources they need drive development. The also recommends some directions future study finance.

Language: Английский

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Strategies for sustainable road transport: Technological innovation and organizational management through AI

Transportation Research Part D Transport and Environment, Journal Year: 2025, Volume and Issue: 141, P. 104651 - 104651

Published: Feb. 19, 2025

Language: Английский

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Innovating tomorrow: Industry 5.0's role in shaping the workforce and socio-economic development in the sustainable energy transition era

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 381, P. 125170 - 125170

Published: April 7, 2025

Language: Английский

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Balanced Scorecard-Based Project Priorities of Sustainable Energy Financing Via Artificial Intelligence-Enhanced Hybrid Quantum Decision-Making Modeling

Studia Universitatis „Vasile Goldis” Arad – Economics Series, Journal Year: 2025, Volume and Issue: 35(2), P. 113 - 139

Published: April 17, 2025

Abstract The most essential factors should be defined to increase the effectiveness of sustainable energy financing. Otherwise, businesses may face some financial and operational problems due not using resources effectively. However, only a limited number studies in literature have identified these important factors. This situation shows need for new study determine variables that greatest impact on Thus, purpose this is identify significant determinants affect For situation, 3-stage model constructed reach purpose. first stage prioritizes experts with help artificial intelligence (AI). second weights assessment criteria financing by quantum spherical fuzzy M-SWARA. Finally, balanced scorecard-based project priorities are ranked WASPAS. main contribution detailed evaluation performed understand strategies improvements novel model. Calculation expert AI increases quality originality Similarly, considering M-SWARA, WASPAS, theory, sets also because managing uncertainties more technical competence enterprise Funding diversification found as items increasing Additionally, according ranking results, it determined issues customer needs alternatives.

Language: Английский

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Application of an AI-based optimal control framework in smart buildings using borehole thermal energy storage combined with wastewater heat recovery

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 101, P. 113824 - 113824

Published: Sept. 23, 2024

Language: Английский

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Towards a Green Digital City: Digital Economy, Digital Innovation, and Urban Haze Pollution

Journal of Urban Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 33

Published: Dec. 4, 2024

This study employs panel data from 223 prefecture-level cities in China spanning 2011 to 2020, using fixed effects models, mediation effect and dynamic spatial Durbin models investigate the impact of digital economy (DIGE) growth on urban haze pollution (UHPO). Our findings indicate that expansion DIGE significantly reduces UHPO, thereby underscoring its positive influence environmental management revealing a negative correlation with degradation. Analysis mechanisms shows alleviates UHPO through enhancements innovation (DIGI) upgrades industrial structures. provides strong evidence pathways which contributes improvement influences policy development implementation. Additionally, heterogeneity analysis highlights infrastructure's reducing is more pronounced higher levels human capital, financial development, information infrastructure. detailed understanding assists pinpointing differential across various settings lays groundwork for tailored interventions. Moreover, reveals spillover (SSEs) delineate an inverted U-shaped pattern, peaking absolute value between 1,000 1,500 kilometers.

Language: Английский

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The impact of green low-carbon finance on smog reduction and carbon mitigation: evidence from a spatial panel simultaneous equations model

International Journal of Urban Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 34

Published: Dec. 17, 2024

Mitigating smog and carbon emissions is crucial for promoting sustainable urban development. Based on a comprehensive panel dataset covering 278 Chinese cities from 2008 to 2022, this study employs dynamic spatial data models threshold systematically investigate the effects of green low-carbon finance (GCF) reducing (RSCE), including its underlying mechanisms, spillover effects, effects. The key findings are as follows: (1) development GCF in both local neighboring significantly enhances RSCE respective regions. (2) While indirectly promotes through technological innovation, via innovation not significant. (3) There exists notable effect relationship between RSCE, where GCF's impact becomes stronger after surpassing certain level innovation. (4) A temporal analysis reveals that influence has markedly intensified GCF-related policies have matured over time. This provides critical policy implications strategically leveraging tools foster high-quality,

Language: Английский

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