Abstract
In the face of the severe challenge of global warming, promoting low-carbon emission reductions is an important measure to cope with global climate change and achieve a green cycle of sustainable development. The purpose of this study was to reveal the spatial heterogeneity of carbon emissions and the influencing factors in 286 prefecture-level-and-above cities in China, and to provide an empirical basis for the formulation of low-carbon emission reduction policies in China. This study used a combination of comparative analysis, regional difference analysis, correlation analysis, principal component analysis, and stepwise regression analysis to analyze the spatial differences in carbon emissions and their influencing factors in 286 prefecture-level-and-above cities in China, and draws the following main conclusions: (1) From 2005 to 2015, regional differences in six sectors, including household carbon emissions, widened in the 286 prefecture-level-and-above cities in China, while regional differences in 14 sectors, including rural household carbon emissions, narrowed. (2) There were significant intra-group differences in urban household carbon emissions, and the contributions to intra-group differences in carbon emissions differed across the six sectors in the northeast, east, central, and west regions. (3) Although the total and average carbon emissions of each sector increased from 2005 to 2015, China’s carbon emission intensity was decreasing, and carbon productivity is increasing. (4) Carbon emissions per capita (CCE) were positively correlated with GRP per capita, industrial SO2 emissions per capita, and the proportion of employees in the secondary sector, and negatively correlated with population density and the proportion of employees in the tertiary sector. (5) Resident savings and consumption factors, pollution emission factors, and economic structure factors had a facilitating effect on CCE, while population density factors and economic growth factors have a weakening effect on CCE.
Highlights
Introduction published maps and institutional affilGlobal warming has become a serious challenge that threatens the survival and sustainable development of mankind, and promoting low-carbon emission reductions is an important step in addressing global climate change and achieving green cycle sustainable development [1,2,3]
Comparing this with our correlation analysis, we found that the influencing factor of carbon emission per capita is a multidimensional issue, related to economic development, development stage, and development level, and to factors such as population density and urban construction
The regression coefficient is −0.156, which shows that every 1% increase in population density will lead to a 0.156% decrease in per capita carbon emissions, controlling for other variables
Summary
Global warming has become a serious challenge that threatens the survival and sustainable development of mankind, and promoting low-carbon emission reductions is an important step in addressing global climate change and achieving green cycle sustainable development [1,2,3]. China has a long way to go in terms of low carbon emission reductions. The China Urban Greenhouse Gas Emissions Dataset (2015) shows that Beijing and Shanghai, the two largest cities in China, have per capita carbon emissions of 7.33 tonnes per person and 11.46 tonnes per person, respectively, while. Copenhagen, Paris, New York, Tokyo, and London have per capita carbon emissions of. The two most-developed mega-cities in China have higher iations
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