Transformer, an attention-based encoder–decoder model, has already revolutionized the
field of natural language processing (NLP). Inspired by such significant achievements, some …

As a result of rapid industrialization and urbanization, China is now facing a host of
environmental problems that have serious health implications. Studies of air pollution's …

Quantifying the decoupling states of carbon emissions from a multi-sectoral and dual-
perspective can guide more detailed emission reduction strategies. Based on the single …

Particulate Matter (PM) is an important indicator of the degree of air pollution. The PM type
and the ratio of coarse and fine PM particles determine the ability to affect human health and …

Urban green infrastructure (UGI) is considered to be an effective tool for mitigating PM 2.5
(particulate matter with an aerodynamic diameter of less than 2.5 μm) pollution in urban …

Facing the conflicts of climate change, energy consumption, carbon emission, and economic
development, it is essential to investigate the impacts of the carbon tax policy implemented …

As a typical resource-based region, Xinjiang is under increasing pressure to reduce carbon
emissions. The ability to identify the drivers of carbon emissions in the industry and mapping …

Embodied carbon emissions have an important role in China's “dual carbon” target and
carbon reduction policy. Our study applied a multiregional input–output (MRIO) model and …

In this study, a multi-scenario factorial analysis and multi-regional input-output (MFA-MRIO)
model is developed, which is capable of evaluating carbon dioxide (CO 2) emission and …

In order to mitigate global warming and improve air quality, the transformation of regional
energy structures is the most important development pathway. China, as a major global …