4.7 Article

Study on spatio-temporal changes and driving factors of carbon emissions at the building operation stage- A case study of China

Journal

BUILDING AND ENVIRONMENT
Volume 219, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2022.109147

Keywords

Carbon emission; Spatio-temporal changes; Driving factors; Geodetector; China

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This study constructs a research framework to investigate the influencing factors and driving mechanisms of carbon emissions at the building operation stage. The study reveals that there are spatial variations in carbon emissions across different regions in China and different factors have varying degrees of influence. The driving mechanisms of carbon emissions also differ over time. Based on these findings, a carbon neutral pathway map for the building sector is proposed.
Global climate change has become one of the greatest challenges to human development, the study of the dynamic evolution of carbon emissions at the building operation stage and its driving mechanism is of great significance for the reasonable control of carbon emissions, and helpful to provide more scientific and reasonable decision support for proposing an implementable carbon neutral pathway. According to the geospatial differences of carbon emissions at the building operation stage, this paper constructs a research framework on the influencing factors and driving mechanisms of carbon emissions at the building operation stage based on CV, kernel density, Geodetector and other methods. The study shows that first, that the carbon emissions at the building operation stage are unequally distributed in space in provinces of China, and the building carbon emissions vary greatly in structure among different regions. Second, different factors vary greatly in influence. Third, there are great differences in the driving mechanisms of carbon emissions over time, but factors such as urban population and refrigerator ownership are both key influencing factors that have a comprehensive influence on the spatio-temporal changes of carbon emissions. Fourth, all the factor pairs are bifactor-enhanced or non-linearly enhanced, and they can be classified into three types of high, medium, and low levels. Fifth, a carbon neutral pathway map for the building sector is proposed based on the spatial distribution of carbon emissions and its driving mechanism, to provide reference for foreign regions with similar conditions.

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