The synergy between pollution reduction and carbon reduction in Chinese cities and its influencing factors

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 106, P. 105348 - 105348

Published: March 13, 2024

Language: Английский

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Marine fishery carbon emission reduction and changing factors behind marine fishery eco-efficiency growth in China

Ecological Informatics, Journal Year: 2024, Volume and Issue: 80, P. 102478 - 102478

Published: Jan. 14, 2024

The accurate assessment of marine fisheries' carbon emissions (MFCE) and the identification spatial temporal variation in fisheries eco-efficiency (MFEE) its drivers under emission reduction constraint can facilitate high-quality development achievement 'carbon neutrality' goal. Current assessments MFEE exclude focus on single-factor methodologies, which limit their utility guiding strategies. In this study, using provincial data from 2008 to 2021, we constructed a model undesired output efficiency through directional distance function determine potential each province. global Malmquist–Luenberger (GML) was also used explore trends MFCE China influencing growth. Different mechanisms underlying growth three major economic zones were investigated. results show that (1) is declining, with sources showing decline sinks rapid year 2015 an important turning point for fisheries. (2) level differed among Chinese coastal provinces cities during study period, circles belonged different types potential. Under constraint, values showed fluctuating upward trend significant differences rates power sources, while pure technical drove optimal eco-efficiency. (3) economy, resource use, industrial structure, environmental regulation, science technology improve MFEE, whereas degree openness outside world negatively impacts MFEE; positive.

Language: Английский

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Exploring artificial intelligence and urban pollution emissions: "Speed bump" or "accelerator" for sustainable development?

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 463, P. 142739 - 142739

Published: May 29, 2024

Language: Английский

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Path to pollution and carbon reduction synergy from the perspective of the digital economy: Fresh evidence from 292 prefecture-level cities in China

Environmental Research, Journal Year: 2024, Volume and Issue: 252, P. 119050 - 119050

Published: May 8, 2024

Language: Английский

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The confrontation and symbiosis of green and development: Coupling coordination analysis between carbon emissions and spatial development in urban agglomerations of China

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 106, P. 105391 - 105391

Published: March 30, 2024

Language: Английский

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Spatial correlation network structure of carbon emission reduction capacity on urban agglomerations and its driving factors: A perspective of Sustainable Development Goals

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105646 - 105646

Published: July 7, 2024

Language: Английский

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Spatial correlation network on synergy between carbon reduction and pollution control in key areas for air pollution prevent and control

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144777 - 144777

Published: Jan. 1, 2025

Language: Английский

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Spatial network characteristics and influencing factors of the synergistic effects of pollution reduction and carbon emission reduction in “Zero Waste City” clusters

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: 493, P. 144924 - 144924

Published: Feb. 1, 2025

Language: Английский

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Synergistic efficiency in pollution and carbon reduction: Measurement, evolution, and pathways in Chinese cities

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 113, P. 107879 - 107879

Published: Feb. 24, 2025

Language: Английский

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Carbon Emissions and Economic Growth in the Planting Industry: Evidence from China

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2570 - 2570

Published: March 14, 2025

This study systematically analyzes the temporal variation characteristics, driving mechanisms, and decoupling relationship between carbon emissions economic output in China’s planting industry. Using a dynamic panel model, LMDI decomposition, coupling coordination it explores main influencing factors of their evolution. The findings reveal that from 2003 to 2022, industry exhibited phased trend rising first then declining, with limited overall reduction. Carbon demonstrated significant path dependency. Planting agricultural investment were identified as primary for emissions, while energy intensity mechanization levels had inhibitory effects. Decoupling analysis showed weak dominates, strong achieved only specific regions periods, highlighting regional disparities. Coupling indicated positive improved annually, whereas related rural electricity consumption declined recent years. suggests promoting precision agriculture clean technologies, optimizing structures, implementing region-specific policies, enhancing land resource planning can help us achieve coordinated goals high-quality development provide theoretical insights policy recommendations low-carbon serve reference global green transformation.

Language: Английский

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