Spatiotemporal coupling of ecological vulnerability and economic comprehensive level in the source area of the Yellow River in China based on remote sensing, GIS and AHP-CRITIC DOI Creative Commons
Haoxiang Zhang, Qian Song, Shiru Wang

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2024, Volume and Issue: 16(1)

Published: Dec. 27, 2024

The Yellow River Source Area (YRSA) is ecologically fragile, economically weak, geographically vast and sparsely populated, faces challenges to its development. Existing studies on the YRSA often neglect interactions between ecological socio-economic factors, which a hot issue in sustainable development research. In this article, hierarchical analysis method (AHP), CRITIC weighting method, state-function-structure model (SFS), coupled coordination degree (CCDM), spatio-temporal weighted regression (GTWR) are used assess coupling of ecology economy analyze influencing factors. results show that dominated by grassland ecosystem vulnerability has been improved certain extent. northeastern region higher than southwestern terms economic level, corresponds results. Hot spots clustered north, cold spread from southeast west. two main factors affecting (EV) comprehensive level (ECL) population density elevation. This study complements existing knowledge ecological, human-land systems at global regional scale. It provides important insights data support policy formulation implementation while contributing improvements.

Language: Английский

The impact of digital infrastructure construction on carbon emission efficiency: Considering the role of central cities DOI
Junzhou Yu, Wenzheng Hu

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 448, P. 141687 - 141687

Published: March 5, 2024

Language: Английский

Citations

16

Decoupling carbon emissions from the economy and low-carbon ecological city construction-based on 196 cities in China DOI
Congting Sun, Ying Wang, Zhichuan Zhu

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 107, P. 105458 - 105458

Published: April 25, 2024

Language: Английский

Citations

8

Multi-attribute decision-making research on investment suitability assessment of hydropower-wind-photovoltaic-storage complementary system based on dynamic social network DOI
Wanying Li, Fugui Dong, Mingxia Shi

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 307, P. 118358 - 118358

Published: April 1, 2024

Language: Английский

Citations

6

Exploring the path and synergistic effects of “green intelligence integration” for improving industrial carbon emission efficiency: comparative empirical study of China’s five major urban agglomerations DOI
Chuang Li, Yunlong Wang, Liping Wang

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 30, 2024

Language: Английский

Citations

5

Estimation and Analysis of Carbon Emission Efficiency in Chinese Industry and Its Influencing Factors—Evidence from the Micro Level DOI Creative Commons
Xinna Zhao, Guo Li, Zhiyuan Gao

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(4), P. 917 - 917

Published: Feb. 16, 2024

A major goal of the “14th Five-Year Plan” phase is to promote green transformation industrial enterprises address ‘dual carbon’ challenge. Utilizing China Industrial Enterprises Database and Polluting Database, this paper calculates carbon emissions Chinese from 2001 2010 at micro level. It presents an analysis heterogeneity emission efficiency (TPI) in enterprises, as well factors influencing corporate TPI. This study finds that within a subdivided industry exhibit heterogeneous levels TPI, with largely affected by structure energy consumption. The researchers suggest accelerating transition technology argue policies should shift controlling direct total targets strengthening market-oriented policy tools. Carbon reduction be more stringent for lower considering among enterprises. To meet challenges reduction, are encouraged actively reform their consumption structure. Government aim reduce clean costs encourage use

Language: Английский

Citations

4

Assessing urban carbon health in China's three largest urban agglomerations: Carbon emissions, energy-carbon emission efficiency and carbon sinks DOI

Angzu Cai,

Ru Guo, Yuhao Zhang

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 383, P. 125326 - 125326

Published: Jan. 27, 2025

Language: Английский

Citations

0

Does the Integration of the Digital Economy and the Real Economy Enhance Urban Green Emission Reduction Efficiency? Evidence from China DOI

Guoguang Pang,

Lin Li,

Dong Guo

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106269 - 106269

Published: March 1, 2025

Language: Английский

Citations

0

The impact of green finance on carbon emission efficiency: based on Chinese provincial panel data DOI
Huiping Wang,

Yilong Cheng

Applied Economics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: March 23, 2025

Language: Английский

Citations

0

Allocation of Carbon Intensity Target Reduction Rate for China's 332 Cities Based on Entropy Method and Improved Equal-Proportion Distribution Method DOI
Fengmei Yang, Yin Ren, Shudi Zuo

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

Abstract The rational allocation of carbon reduction targets is crucial for achieving the country's overall goal. This paper introduces a comprehensive intensity scheme based on entropy method and an improved equal-proportion distribution (IEPD method), which integrates fairness efficiency. Firstly, indicator system including economic, demographic, energy, technological innovation aspects established, employed to determine weights these indicators. Secondly, using IEPD method, target China's 14th Five-Year Plan period (namely, 18% in by 2025 compared 2020) allocated 332 cities. Thirdly, K-means clustering utilized categorize cities according seven indicators, characteristics rate (CITRR) each group are analyzed. results show that: (1) average CITRR 13.13%, ranges from 2.76–88.58%. (2) shows step-like regional difference that gradually decreases eastern region central western regions, Global Moran I correlation index 0.24, indicating positive spatial correlation. (3) divides into four categories, Kruskal-Wallis test significant among categories plan proposed this study can help assess their capabilities formulate effective policies.

Language: Английский

Citations

0

A comprehensive analysis of the spatiotemporal dynamics and determinants of carbon emission efficiency in China's manufacturing sector DOI
Dalai Ma,

Chao Hu,

Yin Yan

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 381, P. 125269 - 125269

Published: April 10, 2025

Language: Английский

Citations

0