Can low carbon policies achieve collaborative governance of air pollution? Evidence from China's carbon emissions trading scheme pilot policy

Environmental Impact Assessment Review, Год журнала: 2023, Номер 103, С. 107286 - 107286

Опубликована: Сен. 22, 2023

Язык: Английский

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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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Synergizing policies for carbon reduction, energy transition and pollution control: Evidence from Chinese power generation industry

Journal of Cleaner Production, Год журнала: 2024, Номер 436, С. 140460 - 140460

Опубликована: Янв. 1, 2024

Язык: Английский

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Spatio-temporal impacts of land use change on water-energy-food nexus carbon emissions in China, 2011–2020

Environmental Impact Assessment Review, Год журнала: 2024, Номер 105, С. 107436 - 107436

Опубликована: Янв. 31, 2024

Язык: Английский

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Spatiotemporal evolution and driving factors of the synergistic effects of pollution control and carbon reduction in China

Ecological Indicators, Год журнала: 2025, Номер 170, С. 113103 - 113103

Опубликована: Янв. 1, 2025

Язык: Английский

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Has China achieved synergistic reduction of carbon emissions and air pollution? Evidence from 283 Chinese cities

Environmental Impact Assessment Review, Год журнала: 2023, Номер 103, С. 107277 - 107277

Опубликована: Сен. 13, 2023

Язык: Английский

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The impact of digital economy on industrial carbon emission efficiency at the city level in China: Gravity movement trajectories and driving mechanisms

Environmental Technology & Innovation, Год журнала: 2023, Номер 33, С. 103511 - 103511

Опубликована: Дек. 30, 2023

Can the digital economy be a key driver of China's industrial green and low-carbon transformation, promoting growth urban reducing carbon emissions to achieve "win-win" development? The study measured emission efficiency (ICEE), analyzed spatiotemporal center gravity movement, investigated nonlinear spatial spillover effects on ICEE using panel data based 270 cities from 2005 2020 through super-efficient model, threshold econometric model. results were as follows: Chinese has generally improved over time, with its shifting west east, contrary trajectory emissions. effect presented an "N" shape increasing (0.240), decreasing (-0.037), then (0.145), rather than simple inverted "U" shape. When technology innovation was variable, exhibited inhibition followed by promotion (-0.185 0.345) direct positive effect. enhances local (0.118) generates (0.179) in neighboring cities. However, impact exhibits regional heterogeneity, radiating (0.117) eastern region opposite "siphon effect" (-0.330, -0.174) central western regions. It is crucial utilize sharing advanced concepts transcend geographical boundaries establish reduction synergy

Язык: Английский

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Exploring provincial carbon-pollutant emission efficiency in China: An integrated approach with social network analysis and spatial econometrics

Ecological Indicators, Год журнала: 2024, Номер 159, С. 111662 - 111662

Опубликована: Янв. 31, 2024

Carbon emissions and air pollutant in China share common sources. A thorough examination of carbon is imperative for a comprehensive understanding. This study aims to assess carbon-pollutant efficiency (CPEE) 30 Chinese provinces from 2006 2020, focusing on the integration emissions. Previous research CPEE limited, this article addresses gap by investigating its spatiotemporal characteristics identifying potential influencing factors. Our employs super-efficiency data envelopment analysis model, social network analysis, spatial econometric models. The results indicate that: (1) During period, provincial follows "W-shaped" trend exhibits "bimodal" asymmetric distribution, indicating notable regional heterogeneity. (2) Although correlations are unstable do not adhere strict hierarchical structure, positive spillover effects evident CPEE. (3) correlation displays various characteristics, including Matthew effect, external preference, siphoning altruistic tendency. (4) Apart technical input, explanatory variables affecting exert significantly negative direct impact. Furthermore, indirect effect energy intensity contradicts when economic distance considered weight setting. These findings provide valuable theoretical insights practical guidance improving synergistic effects.

Язык: Английский

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Synergistic disparities of pollution reduction and carbon mitigation in the industrial chain: Evidence from China's industrial sector

Environmental Research, Год журнала: 2024, Номер 248, С. 118226 - 118226

Опубликована: Янв. 28, 2024

Язык: Английский

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Integrating spatial carbon factors into ecological network construction in an energy-intensive megaregion toward multi-objective synergy in northern China

Environmental Impact Assessment Review, Год журнала: 2024, Номер 106, С. 107480 - 107480

Опубликована: Фев. 29, 2024

Язык: Английский

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