Abstract
It is significant to discuss the carbon emissions in household consumption to achieve the goal of energy conservation and emission reduction. Based on the CLA analysis method, this paper calculates the carbon emissions of Chinese households in 2015 from a micro perspective, and analyzes the characteristics and structure of household carbon emissions at different income levels in different regions. The results show that most household carbon emissions come from direct energy, food, medical and daily necessities consumption, and the proportion of these three factors in household total carbon emissions gradually decreases with the increase of income level. At the regional level, the increase in income level does not necessarily lead to an increase in carbon emissions. Household carbon emissions and carbon emission structure fluctuate with income in a certain trend.
Highlights
Much greenhouse gas emissions are the primary cause of global climate change, and the key measures to slow down climate change are energy conservation and emission reduction
Paying attention to the characteristics and structure of carbon emissions caused by household consumption behaviors in different regions and different income levels can provide more targeted suggestions for the formulation of energy conservation and emission reduction policies
Represents the total emissions from the i th household's direct energy consumption, and f is the direct carbon emissions intensity of the j type direct energy consumption behavior, which is equal to the carbon dioxide emissions of each department divided by the total output of that department. y represents the expenditure of the ith family on direct energy of j type
Summary
Much greenhouse gas emissions are the primary cause of global climate change, and the key measures to slow down climate change are energy conservation and emission reduction. The research shows that there are differences in carbon emissions between families in different regions and different income levels[2,3]. Paying attention to the characteristics and structure of carbon emissions caused by household consumption behaviors in different regions and different income levels can provide more targeted suggestions for the formulation of energy conservation and emission reduction policies. Indirect carbon emissions refer to the carbon emissions generated by indirect consumption of energy when households meet the needs of products and services. This paper uses the consumer lifestyle approach (CLA) to calculate the related carbon dioxide emissions caused by various consumer behaviors
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