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

Sustainable Cities and Society, Год журнала: 2024, Номер 106, С. 105348 - 105348

Опубликована: Март 13, 2024

Язык: Английский

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

Ecological Informatics, Год журнала: 2024, Номер 80, С. 102478 - 102478

Опубликована: Янв. 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.

Язык: Английский

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

Journal of Cleaner Production, Год журнала: 2024, Номер 463, С. 142739 - 142739

Опубликована: Май 29, 2024

Язык: 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, Год журнала: 2024, Номер 252, С. 119050 - 119050

Опубликована: Май 8, 2024

Язык: 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, Год журнала: 2024, Номер 106, С. 105391 - 105391

Опубликована: Март 30, 2024

Язык: 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, Год журнала: 2024, Номер 113, С. 105646 - 105646

Опубликована: Июль 7, 2024

Язык: 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, Год журнала: 2025, Номер unknown, С. 144777 - 144777

Опубликована: Янв. 1, 2025

Язык: 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, Год журнала: 2025, Номер 493, С. 144924 - 144924

Опубликована: Фев. 1, 2025

Язык: Английский

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

Environmental Impact Assessment Review, Год журнала: 2025, Номер 113, С. 107879 - 107879

Опубликована: Фев. 24, 2025

Язык: Английский

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

Sustainability, Год журнала: 2025, Номер 17(6), С. 2570 - 2570

Опубликована: Март 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.

Язык: Английский

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