Research on the Characteristics of the Spatial and Temporal Distribution and Influencing Factors of Carbon Emissions: The Case of Chengdu

Abstract

It is necessary to study the characteristics of the spatial and temporal characteristics and influencing factors of carbon emissions. Doing so holds great significance for optimizing urban spatial patterns and protecting the environment. Based on the ArcGIS and SPSS packages and Pearson correlation coefficient analysis, this study analyzed the carbon emission data, population data, gross domestic product (GDP) data and land use data of 19 districts and counties in Chengdu in 2000, 2005, 2010 and 2015. Based on the analysis, the characteristics of the temporal and spatial distribution and influencing factors of carbon emissions in Chengdu are discussed. We hope to provide a relevant basis for future urban construction and policy making in Chengdu. The research results show that the overall carbon emissions in Chengdu are increasing. Since 2010, the carbon emissions in the central city began to decrease, while the carbon emissions in other major carbon emission areas grew relatively slowly. Population, the economy and land use will affect carbon emissions in Chengdu.