Spatiotemporal Analysis of Influencing Factors of Carbon Emission in Public Buildings in China

The rapid development of public buildings has greatly increased the country’s energy consumption and carbon emissions. Excessive emissions contribute to global warming. This paper aims measure in operation buildings, identify multiple influencing factors operational buildings. First, spatial temporal variation characteristics from 30 provinces China 2008–2019 are analyzed. Second, a green building index is constructed, STIRPAT (Stochastic Impacts by Regression on Population, Affluence, Technology) model utilized explore relationship between each factor emissions, using geographically weighted regression analysis. results show that effects population, urbanization rate, GDP per capita, index, industrial structure all correlation differences. There east-west differences China’s provinces. Cluster evolution shows spatially increasing trend west east. To some extent, policymakers can develop appropriate policies for different through findings.