The purpose of this study is to analyze the regional disparity and its determinants of CO2 emissions from the residential energy consumption in China. This study examines factors that affect the CO2 emissions per capita using the panel model. The pane...
The purpose of this study is to analyze the regional disparity and its determinants of CO2 emissions from the residential energy consumption in China. This study examines factors that affect the CO2 emissions per capita using the panel model. The panel model was set by a balanced panel data for 30 provinces and for the period of 2006-2011. CO2 emissions per capita is used as the dependent variable and characteristics of the household and regional physical environmental factors are selected as the explanatory variables. The important findings can be summarized as follows. CO2 emissions per capita is influenced by the ratio of the graduate students, household size, the ratio of the old-aged, female economic participation rate. High residential density is negatively affected on CO2 emissions. The findings suggest energy sources and regional climate. The results of this empirical study give some implications to reduce the residential energy consumption in the era of climate change.