Spatiotemporal evolution characteristics and spillover effects of carbon emissions from public building in China: The tertiary industry perspective

Environmental Impact Assessment Review, Год журнала: 2024, Номер 106, С. 107545 - 107545

Опубликована: Май 1, 2024

Язык: Английский

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Valorization of recycled aggregates to eco-efficient lightweight self-compacting mortars: Studies on microstructure, mechanical, durability, environmental, and economic properties

Construction and Building Materials, Год журнала: 2024, Номер 419, С. 135436 - 135436

Опубликована: Фев. 26, 2024

Язык: Английский

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Decarbonizing provincial construction industry under the "dual carbon" goals: Assessing reduction capacities and charting optimal pathways

Building and Environment, Год журнала: 2025, Номер 272, С. 112639 - 112639

Опубликована: Янв. 29, 2025

Язык: Английский

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Decoupling the traded coal and its factors under the sustainable energy changeover in South Korea

International Journal of Coal Preparation and Utilization, Год журнала: 2025, Номер unknown, С. 1 - 21

Опубликована: Апрель 26, 2025

Язык: Английский

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Towards a sustainable construction: A newly proposed Tapio-global meta-frontier DEA framework for decoupling China's construction economy from its carbon emissions

The Science of The Total Environment, Год журнала: 2024, Номер 929, С. 172727 - 172727

Опубликована: Апрель 23, 2024

Язык: Английский

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Disentangling the effects of nonrenewable energy consumption on CO₂ emissions in Canada: The moderating role of construction and manufacturing

Energy & Environment, Год журнала: 2025, Номер unknown

Опубликована: Янв. 26, 2025

The role of industrial sectors, including construction (CONS) and manufacturing (MFG), in mitigating carbon dioxide (CO 2 ) emissions is often overlooked. response these indicators environmental sustainability gaining critical attention among scholars policymakers. Therefore, this research aims to address issue by investigating the impact nonrenewable energy consumption (NREC) under moderating effects CONS MFG on Canada's CO from 1980 2021, utilizing both traditional autoregressive distributed lags (ARDLs) dynamic ARDL simulation methods. findings reveal that NREC, CONS, economic growth (GDP) are significant drivers short long run. Meanwhile, reduces run with no short-run impact. Further analysis using Generalized Kernel-based regularized least squares (gKRLS) frequency domain causality (FDC) tests confirmed results. Moreover, examining exhibits long-run positive NREC-CO relationship, having a more substantial than CONS. However, sectors show insignificant adverse Robustness quantile regression (QREG) simultaneous (SQREG) demonstrates GDP consistently mitigate across all quantiles, stronger at higher levels. These results underscore importance targeted renewable policies balance sustainability.

Язык: Английский

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Scenario analysis under climate extreme of carbon peaking and neutrality in China: A hybrid interpretable machine learning model prediction

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145086 - 145086

Опубликована: Фев. 1, 2025

Язык: Английский

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Modeling the influence factors of carbon emissions in modular construction from a stakeholder perspective: A social network analysis

Sustainable Futures, Год журнала: 2025, Номер unknown, С. 100560 - 100560

Опубликована: Март 1, 2025

Язык: Английский

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Decoupling economic development from carbon emissions: Insights from Chinese provinces

Energy, Год журнала: 2024, Номер 308, С. 133008 - 133008

Опубликована: Авг. 28, 2024

Язык: Английский

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Analysis of Decoupling Effects and Influence Factors in Transportation: Evidence from Guangdong Province, China

ISPRS International Journal of Geo-Information, Год журнала: 2024, Номер 13(11), С. 404 - 404

Опубликована: Ноя. 8, 2024

In recent years, global environmental issues have become increasingly prominent. The transportation industry, as the fundamental sector of national economic development, is also characterized by high energy consumption and carbon emissions. Therefore, it imperative to conduct research on emission problem within this industry. light Tapio decoupling model, an analysis correlation between traffic emissions development in Guangdong province during 1999–2019 was carried out. With aim encouraging province’s low-carbon factors affecting industry are analyzed utilizing generalized Divisia index model (GDIM). We introduced passenger freight turnover influencing factor for analysis. findings indicate that (1) increased from 1999 2019; (2) emissions’ effect mainly “weakly decoupled”, overall not strong province; (3) among factors, effects production value volume at forefront, has gradually exceeded years. suppression intensity relatively large, while transport weak. Based this, strategies were proposed promote a cleaner mix, improve use efficiency, create savings, develop green technologies, foster restructuring transportation.

Язык: Английский

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