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

и другие.

Geomatics Natural Hazards and Risk, Год журнала: 2024, Номер 16(1)

Опубликована: Дек. 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.

Язык: 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, Год журнала: 2024, Номер 448, С. 141687 - 141687

Опубликована: Март 5, 2024

Язык: Английский

Процитировано

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

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 107, С. 105458 - 105458

Опубликована: Апрель 25, 2024

Язык: Английский

Процитировано

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

и другие.

Energy Conversion and Management, Год журнала: 2024, Номер 307, С. 118358 - 118358

Опубликована: Апрель 1, 2024

Язык: Английский

Процитировано

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

и другие.

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Окт. 30, 2024

Язык: Английский

Процитировано

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

и другие.

Energies, Год журнала: 2024, Номер 17(4), С. 917 - 917

Опубликована: Фев. 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

Язык: Английский

Процитировано

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

и другие.

Applied Energy, Год журнала: 2025, Номер 383, С. 125326 - 125326

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

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

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106269 - 106269

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

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

Yilong Cheng

Applied Economics, Год журнала: 2025, Номер unknown, С. 1 - 15

Опубликована: Март 23, 2025

Язык: Английский

Процитировано

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

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Апрель 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.

Язык: Английский

Процитировано

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

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 381, С. 125269 - 125269

Опубликована: Апрель 10, 2025

Язык: Английский

Процитировано

0