Wei Tu , Congjun Rao , Xinping Xiao , Fuyan Hu , Mark Goh
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引用次数: 0
Abstract
Countries need a science-informed strategy to manage carbon peaking and carbon neutrality. This study extends the geographically and temporally weighted regression (GTWR) model to include the GeoDetector's factor interaction detection plate to investigate the spatio-temporal characteristics of the factors influencing regional carbon emissions in the Yangtze River Economic Belt (YEB), an important economic area in China. The results from the proposed interactive geographically and temporally weighted regression (IGTWR) model indicate that the evolution of carbon emissions can be categorized into two phases in the temporal dimension. In terms of spatial distribution, the carbon emissions of the YEB are distributed in a northeastsouthwest direction, are centered in Hubei Province and cover a broad geographical range. Both the drivers of carbon emissions and their factor interactions possess spatial heterogeneity.
期刊介绍:
Environmental Technology & Innovation adopts a challenge-oriented approach to solutions by integrating natural sciences to promote a sustainable future. The journal aims to foster the creation and development of innovative products, technologies, and ideas that enhance the environment, with impacts across soil, air, water, and food in rural and urban areas.
As a platform for disseminating scientific evidence for environmental protection and sustainable development, the journal emphasizes fundamental science, methodologies, tools, techniques, and policy considerations. It emphasizes the importance of science and technology in environmental benefits, including smarter, cleaner technologies for environmental protection, more efficient resource processing methods, and the evidence supporting their effectiveness.