Analysis of China’s carbon financial Development’s impact on reducing emissions using the BCC and Malmquist models DOI Creative Commons

Li Chunzhe,

Ding Xueyuan,

Tao Meng

et al.

Frontiers in Energy Research, Journal Year: 2024, Volume and Issue: 12

Published: Oct. 1, 2024

This study evaluates the impact of China’s carbon finance development on emission reduction and its role in promoting low-carbon economic growth. We construct an evaluation index system employ Systematic Cluster Analysis (SCA) Data Envelopment (DEA) methods to analyze markets five representative Chinese provinces (autonomous regions). Utilizing DEA-BCC model DEA-Malmquist index, we conducted in-depth analysis effects between 2022 2023. Our findings reveal that while significantly contributes reduction, there are considerable regional disparities effectiveness. Beijing Guangdong achieved DEA efficiency, whereas Jilin, Ningxia, Xinjiang experienced efficiency losses, suggesting a need for structural optimization. The provides insights into challenges potential improvements sector offers policy recommendations enhancing market mechanisms, technological innovation, social engagement support peak neutrality goals.

Language: Английский

Spatiotemporal differentiation of carbon budget and balance zoning: Insights from the middle reaches of the Yangtze River Urban Agglomeration, China DOI
Zhengyu Zhang, Gui Jin

Applied Geography, Journal Year: 2024, Volume and Issue: 167, P. 103293 - 103293

Published: May 12, 2024

Language: Английский

Citations

17

Beyond the land quantity: Rethinking the role of land quality in agriculture from the efficiency perspective DOI
Baishu Guo, Gui Jin

Socio-Economic Planning Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 102151 - 102151

Published: Jan. 1, 2025

Language: Английский

Citations

2

Impact of landscape pattern on habitat quality in the Yangtze River Economic Belt from 2000 to 2030 DOI Creative Commons

Fei Yang,

Liyan Yang,

Qianying Fang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112480 - 112480

Published: Aug. 13, 2024

Recently, rapid economic development of the Yangtze River Economic Belt region in China and growing problem regional habitat quality have seriously threatened process biodiversity conservation Basin. Studying impact changes landscape pattern indexes on can provide policy insights for However, existing studies are still lacking exploring effects changing indices under future scenarios. Based land use data from 2000 to 2020, this study simulates situation 2030, analyzes during 30 years, investigate at global local scales through various methods. The results show that patterns were significantly affected by human activities types, with experiencing increased levels structural stabilization three decades (Shannon Diversity Index 0.90 0.94 2030), fragmentation (Landscape index increase 0.094 0.102 weakened connectivity (contagion decrease 48.213 45.437 2030). Habitat Quality has a large variation spatial distribution county scale, an average change 1.04 % overall downward trend. There is strong localized autocorrelation between quality, significant heterogeneity some form variability time scales. help further understand eco-environmental problems Belt, theoretical references formulation ecological environmental protection policies functional area planning.

Language: Английский

Citations

10

New quality productivity and environmental innovation: The hostile moderating roles of managerial empowerment and board centralization DOI
Shanshan Yue,

Norkhairul Hafiz Bajuri,

Saleh F. A. Khatib

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122423 - 122423

Published: Sept. 7, 2024

Language: Английский

Citations

10

Innovation-Driven Cities: Reconciling economic growth and ecological sustainability DOI
Fei Chen,

Liling Zhu,

H. Zhang

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106230 - 106230

Published: Feb. 1, 2025

Language: Английский

Citations

1

How does digitalization affect carbon emissions in animal husbandry? A new evidence from China DOI
Dawei He, Xiangzheng Deng, Yunxiao Gao

et al.

Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 214, P. 108040 - 108040

Published: Nov. 30, 2024

Language: Английский

Citations

7

The Criticality of the Digital Economy in Environmental Sustainability: Fresh Insights from a Wavelet-Based Quantile-on-Quantile Approach DOI Open Access

Xiaoqing Wong,

Wenhao Kang, Jisu Kim

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 622 - 622

Published: Jan. 15, 2025

Achieving environmental sustainability has become an urgent priority in the era of rapid digital economic expansion, which presents both opportunities and challenges for sustainable development. This study investigates impact economy (DIE) on (ENS) through dual dimensions industrialization (DII) industrial digitalization (IND), employing wavelet-based quantile-on-quantile regression method to capture quantile dependencies temporal variations. The results reveal that DIE positively impacts ENS long term, while its short-term effects are mixed, with positive at lower higher quantiles but negative mid-range [0.35–0.45] [0.65–0.7]. Specifically, DII exerts a predominantly effect due costs infrastructure turns term as matures, especially [0.85–0.95]. IND, conversely, consistently short- long-term scenarios, highlighting role enhancing efficiency reducing emissions. These emphasize need targeted policies, including prioritizing digitalization, developing green infrastructure, adopting phased development strategies maximize benefits.

Language: Английский

Citations

0

Heterogeneity of urban‒rural responses to multigoal policy from an efficiency perspective: An empirical study in China DOI
Baishu Guo, Gui Jin

Habitat International, Journal Year: 2025, Volume and Issue: 158, P. 103341 - 103341

Published: Feb. 20, 2025

Language: Английский

Citations

0

The welfare performance of low-carbon city practice: An innovative tool for assessing urban sustainable development DOI
Xiaoyun Du,

Chenyang Ma,

Guangyu Cheng

et al.

Habitat International, Journal Year: 2025, Volume and Issue: 158, P. 103348 - 103348

Published: Feb. 28, 2025

Language: Английский

Citations

0

Coupling coordination and sustainability among water resource carrying capacity, urbanization, and economic development based on the integrated model DOI Creative Commons
Wei Zhang,

Hazirah Bee,

Yao Wang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: March 19, 2025

Introduction: The coupling coordination development among Water Resources Carrying Capacity (WRCC), Urbanization Level (UL), and Economic Development (EDL) is a critical indicator for regional socio-economic ecological sustainability. Although existing studies on WRCC are abundant, in-depth study the evolution law of its influence mechanism still lacking. Methods: This proposes an innovative integrated model combining Technique Order Preference by Similarity to Ideal Solution (TOPSIS), degree (CCD) analysis, nonlinear polynomial regression, dynamically assess interplay WRCC, UL, EDL in Sichuan Province, China from 2010 2019. Key innovations include: First, hybrid weighting method balance objectivity expert knowledge evaluating EDL, integrating entropy Analytic Hierarchy Process (AHP). Second, dynamic CCD capturing multi-system synergies regression framework quantifying interaction effects. Results Discussion: exhibited wavy upward trend, peaking at 0.60 2018 2019, with spatial characteristics “strong west, weak east, stable center.” shows trend lagging coordination, basic (0.4–0.5 2010–2014) full (0.6–0.8 2018–2019), 18 cities surpassing 0.6. Regression analysis revealed that predominantly driven interactions between systems, R2 0.973, where WRCC-EDL synergy exerted strongest influence, coefficient 0.780. provides scientific foundation optimizing water resource management fostering sustainable urbanization-economy-resource ecologically fragile yet rapidly developing regions.

Language: Английский

Citations

0