Bank competition, government interest in green initiatives and carbon emissions reduction: An empirical analysis using city-level data from China DOI
Xu Chen,

Huilin Xu,

Sajid Anwar

et al.

The North American Journal of Economics and Finance, Journal Year: 2024, Volume and Issue: 72, P. 102144 - 102144

Published: March 20, 2024

Language: Английский

Identifying the role of green financial development played in carbon intensity: Evidence from China DOI
Junbing Huang,

Lufeng An,

Weihui Peng

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 408, P. 136943 - 136943

Published: April 5, 2023

Language: Английский

Citations

42

How does green finance reduce China's carbon emissions by fostering green technology innovation? DOI
Junbing Huang,

Wanrui He,

Xinwei Dong

et al.

Energy, Journal Year: 2024, Volume and Issue: 298, P. 131266 - 131266

Published: April 15, 2024

Language: Английский

Citations

22

Dynamics between energy intensity and carbon emissions: What does the clustering effect of labor and capital play? DOI Creative Commons
Miaomiao Tao, Le Wen, Mingyue Selena Sheng

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 452, P. 142223 - 142223

Published: April 11, 2024

Energy depletion and environmental degradation have emerged as pressing concerns in the era of China's high-quality green economic development. We present an integrated framework that incorporate energy consumption intensity, industrial clustering, carbon emissions into STIRPAT framework. Our study examines 30 Chinese provinces from 2006 to 2017. Unlike previous analyses, our measures clustering two dimensions: labor capital clustering. Specifically, benchmark results confirm a 1% increase intensity will, on average, raise regional emission by 0.03389%. Moderating analysis shows significantly lower reducing consumption. These findings been consolidated after performing panel vector autoregressive model. Interestingly, promoting effect tends be tightened when surpasses threshold. In contrast, corresponding effects substantially weaken exceeds all, these provide new evidence understand energy-emission nexus perspective.

Language: Английский

Citations

20

Coupling analysis and driving factors between carbon emission intensity and high-quality economic development: Evidence from the Yellow River Basin, China DOI
Qiufeng Zhang, Junfeng Li, Yue Li

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 423, P. 138831 - 138831

Published: Sept. 15, 2023

Language: Английский

Citations

34

Appraising the role of the digital economy in global decarbonization: A spatial non-linear perspective on globalization DOI Creative Commons
Miaomiao Tao, Stephen Poletti, Le Wen

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 347, P. 119170 - 119170

Published: Oct. 10, 2023

In the context of globalization, role digital economy in carbon emissions may generate spatial spill over effects. This study comprehensively applies a model to understand nexus between and 67 economies from 2010 2019. Specifically, this contributes by introducing panel threshold model, which helps present new evidence regarding decarbonization process. Empirical findings exemplify that remarkably reduces local emissions, with positive effects being salient. The moderating effect uncover globalization positively affects emissions. Interestingly, designates economy's reduction on will be tightened, whereas turn negative only when surpasses threshold. Our has potential explain some results traditional models cannot reach.

Language: Английский

Citations

29

The impact of innovative human capital agglomeration on urban green development efficiency: Based on panel data of 278 Cities in China DOI
Ran Zhang,

Wenhao Ying,

Kerong Wu

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 111, P. 105566 - 105566

Published: June 6, 2024

Language: Английский

Citations

12

Heterogeneity study on mechanisms influencing carbon emission intensity at the county level in the Yangtze River Delta urban Agglomeration: A perspective on main functional areas DOI Creative Commons
Yu Guo, Zihao Tong, Huiling Chen

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111597 - 111597

Published: Jan. 25, 2024

Identifying the regional heterogeneity characterizing mechanisms influencing carbon emissions is crucial to scientific formulation of emission reduction targets and strategies. The studies that have been conducted limitations in terms classification criteria study scales, their findings are limited reflect actual situation. In this study, perspective main functional area chosen as entry point carry out classification. First, 305 county-level administrative districts Yangtze River Delta urban agglomeration (YRDUA) categorized into four different types areas according official standards. Then, differences intensity (CEI) within outside each analyzed. STIRPAT model (Stochastic Impacts by Regression on Population, Affluence Technology) used analyze impact various factors areas. results show there significant CEI areas, indicating feasibility necessity studying from area. key development (KDA) optimized (ODA) dominate evolution CEI, especially KDA should be core for reduction. There population density, industrial structure government intervention. Our provides a basis subregional regulation

Language: Английский

Citations

9

Appraising the role of energy conservation and emission reduction policy for eco-friendly productivity improvements: An entropy-balancing DID approach DOI Creative Commons
Miaomiao Tao, Le Wen, Mingyue Selena Sheng

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 132, P. 107422 - 107422

Published: March 3, 2024

In pursuit of low-carbon and high-quality economic development, the Chinese government has implemented an energy conservation emission reduction (ECER) policy. It piloted this policy for three groups prefecture-level cities since 2011. So far, there is no systematic evidence to demonstrate whether such a strategy can help China achieve "win-win" situation between environmental protection. To identify causal effect ECER on eco-friendly productivity (EFP), we explore variations in timing across combined with entropy-balancing method assemble balanced panel dataset encompassing China's 283 from 2006 2017. Empirical findings that EFP pilot had increased by 15.3% average compared non-ECER regions based difference-in-differences framework. Notably, generates significant positive spatial spillover effects surrounding regions. Our channel analysis confirms also realized through savings, structural effects, green technological effects. Moreover, observed significantly heterogeneous regarding geographical locations, resource endowment, city old industrial base, regulation. Finally, several implications concerning improvement are put forward.

Language: Английский

Citations

8

Deciphering the Impact of Electric Vehicles on Carbon Emissions: Some Insights from an Extended STIRPAT Framework DOI Creative Commons
Miaomiao Tao, Boqiang Lin, Stephen Poletti

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134473 - 134473

Published: Jan. 1, 2025

Language: Английский

Citations

1

The synergistic effect of digital economy and manufacturing structure upgrading on carbon emissions reduction: Evidence from China DOI
Ting Wu, Zhihui Peng, Yang Yi

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(37), P. 87981 - 87997

Published: July 11, 2023

Language: Английский

Citations

18