Peak Assessment and Driving Factor Analysis of Residential Building Carbon Emissions in China’s Urban Agglomerations

Buildings, Journal Year: 2025, Volume and Issue: 15(3), P. 333 - 333

Published: Jan. 22, 2025

Urban agglomerations, as hubs of population, economic activity, and energy consumption, significantly contribute to greenhouse gas emissions. The interconnected infrastructure, networks, shared systems these regions create complex emission dynamics that cannot be effectively managed through isolated city-level strategies. However, also present unique opportunities for innovation, policy implementation, resource optimization, making them crucial focal points in efforts reduce carbon This study examines China’s three major urban agglomerations: the Yangtze River Delta, Pearl Beijing–Tianjin–Hebei region. Utilizing data from 2005 2020 a comprehensive evaluation model (BCPCAM), research offers more profound insights into socio-economic factors collaborative mechanisms influencing trends, facilitating development targeted strategies sustainable neutrality. findings indicate (1) control can progress synergistically some extent, economically advanced cities like Beijing Shanghai have achieved their peaks earlier; (2) natural endowment affects emissions, with resource-rich such Tangshan Handan, where fossil fuels dominate mix, facing considerable challenges reducing emissions; (3) notable differences exist growth patterns emissions between rural buildings, underscoring need tailored reduction policies.

Language: Английский

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The spillover effects of digital technology innovation on carbon emissions in urban agglomerations: A perspective based on manufacturing investment networks and geospatial spillovers

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106321 - 106321

Published: March 1, 2025

Language: Английский

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Assessing the role of public, media, and government attention on air pollution governance in China

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105681 - 105681

Published: July 19, 2024

Language: Английский

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Dynamic spatiotemporal evolution and spatial effect of carbon emissions in urban agglomerations based on nighttime light data

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105712 - 105712

Published: July 27, 2024

Language: Английский

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Specialized, Diversified Agglomeration and CO2 Emissions —An Empirical Study Based on Panel data of Chinese cities

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 467, P. 142892 - 142892

Published: June 13, 2024

Language: Английский

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Carbon emission prediction of 275 cities in China considering artificial intelligence effects and feature interaction: A heterogeneous deep learning modeling framework

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105776 - 105776

Published: Aug. 26, 2024

Language: Английский

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A multi-objective robust dispatch strategy for renewable energy microgrids considering multiple uncertainties

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105918 - 105918

Published: Oct. 1, 2024

Language: Английский

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Study on spatial correlation and driving factors of industrial carbon emission in the Hefei metropolitan area based on SNA-QAP method

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 27, 2025

In this paper, the Hefei metropolitan area is selected as research object to measure industrial carbon emissions in during 2010–2022. The main contribution deeply analyze characteristics of spatial correlation network with modified gravity model and social analysis(SNA), explore driving factors its formation quadratic assignment procedure(QAP). It establishes foundation for differentiated green city development policies. results show that (1) emission showed a fluctuating rising trend, forming strongly connected patterna; (2) overall structure stable, but tightness relationship among cities not enough hierarchy evident; (3) Huainan are centers area, position each obviously unbalanced; (4) Urbanization level, economic technological innovation, level opening up exert considerable influence on establishment evolution pertaining within area.

Language: Английский

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Spatial Analysis of Carbon Metabolism in Different Economic Divisions Based on Land Use and Cover Change (LUCC) in China

Atmosphere, Journal Year: 2025, Volume and Issue: 16(2), P. 148 - 148

Published: Jan. 29, 2025

Urbanization has greatly altered Earth’s surface form, and land use changes can lead to significant in carbon emissions. However, how these affect ecosystems remains unclear. Therefore, this study calculated the absorption emissions 31 Chinese provinces using high-resolution (300 m) data. Subsequently, a flow model was used evaluate transfer that occurred from every province between 2000 2020. The standard deviation ellipse analytic techniques were also employed research spatiotemporal evolution features of various economic zones. Furthermore, flux utility analysis approaches ecological network quantitatively examine interaction relationship two metabolism uses. results revealed continuous expansion China’s construction reduced area agricultural land, resulting industrial (53.14%) urban (39.38%) being main contributors total Among them, five eastern Hebei, Jiangsu, Zhejiang, Shandong, Guangdong had more than 100 million tons. From 2020, center gravity shifted significantly Henan Province Gansu Province. exploitation control dominated types. It is mostly found Xinjiang, Qinghai, Gansu, Inner Mongolia, Ningxia provinces. findings could provide relevant policy implications for government mitigate on land.

Language: Английский

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Ecosystem service bundles under SSP-RCP and local scenarios: A pathway to comprehensive spatial planning for sustainability

Resources Environment and Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100211 - 100211

Published: March 1, 2025

Language: Английский

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