Exploring the relationship between urban green development and heat island effect within the Yangtze River Delta Urban Agglomeration

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106204 - 106204

Опубликована: Фев. 1, 2025

Язык: Английский

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Does urban agglomeration reduce carbon emissions in Chinese cities? New perspective on factor mobility

Energy Economics, Год журнала: 2025, Номер unknown, С. 108297 - 108297

Опубликована: Фев. 1, 2025

Язык: Английский

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Study on the spatiotemporal differentiation and influencing factors of regional industrial carbon emission efficiency under the background of green development—a case study of Sichuan Province

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Март 25, 2025

Industrial carbon emission reduction is not only the need to cope with climate change and environmental pollution, but also an important way achieve sustainable economic development. This paper first constructs evaluation system of urban green development index from four dimensions: economy, society, resources environment. Then, undesirable super-efficiency SBM model used measure static industrial efficiency, spatiotemporal characteristics dynamic efficiency are analyzed by combining Malmquist index. Finally, was incorporated into Tobit regression model, impact energy intensity, structure other factors on considered. cited 18 cities in Sichuan Province 2015 2022 as example for analysis. The results show that overall level shows a downward trend, there great room improvement average 0.740, difference mainly due pure technical efficiency. From 2022, Sichuan’s showed trend stable then decreasing. There significant positive correlation between emissions. Altogether, established this vital magnitude low-carbon regional industry.

Язык: Английский

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Spatiotemporal Evolution and Obstacle Factor Analysis of Coupling Coordination Between Economic Resilience and Green, Low-Carbon Development in China

Sustainability, Год журнала: 2024, Номер 16(24), С. 11006 - 11006

Опубликована: Дек. 15, 2024

To achieve economic resilience and green, low-carbon development are two goals of China’s high-quality development. This paper uses the entropy weight method coupling coordination degree model to estimate level Kernel density estimation, Moran index, Dagum Gini coefficient, Markov chain, obstacle used explore spatiotemporal evolution characteristics factors. The results as follows. (1) between has increased overall. However, eastern region highest, central fastest growth. (2) shows positive spatial autocorrelation, with most provinces exhibiting high–high or low–low aggregation characteristics. (3) contribution imbalance mainly comes from inter-regional differences, but intra-regional differences is increasing. (4) spatio-temporal pattern generally better, probability maintaining initial state largest. neighborhood’s affects transition does not affect that high-level provinces. (5) Innovation capacity main improving resilience, per capita water resources green Finally, this puts forward suggestions for creating a good innovation environment, increasing R&D investment, promoting technology progress, optimizing regional cooperation resource allocation, industrial transformation.

Язык: Английский

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Multi-scale identification of driving forces for landscape ecological risk: A case study of the basin containing three plateau lakes in Yunnan, China

Ecological Indicators, Год журнала: 2024, Номер 170, С. 113037 - 113037

Опубликована: Дек. 30, 2024

Язык: Английский

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