Dual Differences, Dynamic Evolution and Convergence of Total Factor Carbon Emission Performance: Empirical Evidence from 116 Resource-Based Cities in China DOI Open Access
Jiaming Wang, Xiangyun Wang, Shuwen Wang

и другие.

Sustainability, Год журнала: 2024, Номер 16(24), С. 10950 - 10950

Опубликована: Дек. 13, 2024

Using panel data of Chinese cities from 2006 to 2020, this study constructs the carbon emission performance index perspective dual differences in four stages growth, maturity, decline and regeneration eastern, central, western resource-based (RBCs). This employs Dagum Gini coefficient kernel density estimation explore σ convergence β for understanding differences, dynamic evolutionary trend convergence. Results indicate that during sample period, RBCs shows a fluctuating upward with regional typological imbalance influenced by geographical location division labour. The different regions types (Growing, Mature, Declining Regenerative) downward trend. However, gap between 116 China is gradually expanding, further corroborating influence “excellent but outliers”. overall level exhibits convergence, absolute conditional phenomena. Notably, growing regenerative demonstrate clear “catching-up” compared mature declining RBCs. Furthermore, inclusion control variables reveals varying degrees increased speed. Environmental regulation intensity (ERI), gross domestic product (GDP), energy consumption structure (ECS), technology development (T), industrial (IS) foreign direct investment significant type heterogeneity changes Finally, based on analysis results, implications are proposed enhance types, as well at national levels.

Язык: Английский

Spatial-temporal patterns and influencing factors of carbon emissions in different regions of China DOI
Ning Wang, Zhongke Qu,

Jin Li

и другие.

Environmental Research, Год журнала: 2025, Номер unknown, С. 121447 - 121447

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1
Transport Carbon Emission Measurement Models and Spatial Patterns Under the Perspective of Land–Sea Integration–Take Tianjin as an Example DOI Open Access
Lina Ke, Zhiyu Ren, Quanming Wang

и другие.

Sustainability, Год журнала: 2025, Номер 17(7), С. 3095 - 3095

Опубликована: Март 31, 2025

The goal of “double carbon” puts forward higher requirements for the control transport carbon emissions, and exploration emission modelling driven by big data is an important attempt to reduce accurately. Based on land Vehicle Miles Traveled (VMT) sea Automatic Identification System (AIS) data, this study establishes a refined, high-resolution measurement model that incorporates use motor vehicles ships from bottom-up approach analyzes spatial distribution characteristics emissions in Tianjin using geospatial analysis. results show (1) transportation mainly come road traffic, with small passenger cars contributing most emissions; (2) high zones are concentrated economically developed, densely populated, network density areas, such as urban center Binhai New Area, marine functional zone Tianjin; (3) values generally segments where ports, airports, interchanges connected. developed provides practical, replicable, scalable insights other coastal cities.

Язык: Английский

Процитировано

1
Towards ecological security: Two-thirds of China’s ecoregions experienced a decline in habitat quality from 1992 to 2020 DOI Creative Commons
Qiang Xue, Yang Zhang,

Qingmin Zhang

и другие.

Ecological Indicators, Год журнала: 2025, Номер 172, С. 113275 - 113275

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Carbon Balance Matching Relationships and Spatiotemporal Evolution Patterns in China’s National-Level Metropolitan Areas DOI Creative Commons
Mengqi Liu, Yang Yu, Maomao Zhang

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 800 - 800

Опубликована: Апрель 8, 2025

In the urgent context of global climate change and carbon neutrality goals, effective balance regulation is critical for achieving temperature control targets. Metropolitan areas encounter significant challenges in emission reduction, energy transition advancement, enhancement sequestration capabilities. However, traditional analysis methods have limitations capturing dynamic changes guiding precise regulation. Therefore, this study developed a dynamic–static classification system based on Ecological Support Coefficient (ESC) Economic Contributive (ECC). This examined emissions China’s 14 national-level metropolitan from 2000 to 2020. The results showed that: (1) Carbon an increasing trend, exhibiting spatial distribution with higher levels north, moderate central region, lowest southeast. contrast, exhibited pattern east, lower west. (2) Static revealed that ECC ESC northern regions were relatively weaker than those other regions. Dynamic further upward trend economic ecological capabilities these areas. along coast within Yangtze River Belt needed optimize their economic–ecological coordination efficiency. Although southern coastal demonstrated robust vitality, they encountered support pressures. (3) development level environmental quality predominant factors area classification. Regions tended exhibit enhanced ESC, while stronger prioritized growth. provided solid scientific basis formulating differentiated low-carbon transformation strategies, thereby supporting high-quality maintaining between ecologic objectives. Moreover, it offered both theoretical foundations practical guidance optimizing sustainable pathways similar globally.

Язык: Английский

Процитировано

0
Spatial Complex Correlation Characteristics of Carbon Emissions and Carbon Transboundary Transfer: Assessment of the Carbon Footprint in Four Mega-urban Agglomerations in China DOI Creative Commons

YU Cheng-xue,

Lei Hu,

Hongbo Zheng

и другие.

Sustainable Futures, Год журнала: 2025, Номер unknown, С. 100698 - 100698

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Dual Differences, Dynamic Evolution and Convergence of Total Factor Carbon Emission Performance: Empirical Evidence from 116 Resource-Based Cities in China DOI Open Access
Jiaming Wang, Xiangyun Wang, Shuwen Wang

и другие.

Sustainability, Год журнала: 2024, Номер 16(24), С. 10950 - 10950

Опубликована: Дек. 13, 2024

Using panel data of Chinese cities from 2006 to 2020, this study constructs the carbon emission performance index perspective dual differences in four stages growth, maturity, decline and regeneration eastern, central, western resource-based (RBCs). This employs Dagum Gini coefficient kernel density estimation explore σ convergence β for understanding differences, dynamic evolutionary trend convergence. Results indicate that during sample period, RBCs shows a fluctuating upward with regional typological imbalance influenced by geographical location division labour. The different regions types (Growing, Mature, Declining Regenerative) downward trend. However, gap between 116 China is gradually expanding, further corroborating influence “excellent but outliers”. overall level exhibits convergence, absolute conditional phenomena. Notably, growing regenerative demonstrate clear “catching-up” compared mature declining RBCs. Furthermore, inclusion control variables reveals varying degrees increased speed. Environmental regulation intensity (ERI), gross domestic product (GDP), energy consumption structure (ECS), technology development (T), industrial (IS) foreign direct investment significant type heterogeneity changes Finally, based on analysis results, implications are proposed enhance types, as well at national levels.

Язык: Английский

Процитировано

0