Investigating the Influencing Factors of Carbon Dioxide Emissions from Residents’ Energy Consumption in China

Abstract

With the rapid development of the social economy and the accelerated process of urbanization, the consumption level of residents, especially the demand of energy consumption has increased greatly, which will become an important reason for the growth of carbon dioxide emissions in the future. China has concentrated on policies and measures for energy conservation and emission reduction in the industrial and industrial sectors, ignoring the issue of carbon emissions in the residents’ consumption for a long time. This paper calculates the carbon dioxide emissions of residents’ energy consumption for 1991-2017 based on thirteen kinds of energy consumption. Then constructing the STIRPAT model to divide the influence factors into 5 factors: population, urbanization rate, GDP per capita, energy structure and energy intensity. This paper constructed the cointegration equation and the VEC model through the unit root test, Johansen cointegration test and Grainger causality test by Eviews8 software. Finally, this paper purposed the measures of reducing the carbon dioxide emissions of residents’ energy consumption by reducing the carbon dioxide emissions per capita and adjusting the energy structure.