Abstract:In order to make up for the lack of research on carbon emission intensity and carbon emission structure of sectoral production from the perspective of industry value added, we can better analyze the changes of carbon emission.Based on the consumer perspective and considering the impact of value added on carbon emissions, we decompose the factors causing carbon emissions into energy structure effect, energy intensity effect, value added effect, input structure effect and final demand effect and construct a research model, taking Guangdong as an example, and using its input-output table data in 2007, 2012 and 2017, we adopt the structural decomposition analysis (SDA) method and structural path analysis (SPA) method to analyze the carbon emissions of Guangdong and some of its industries. The results show that: for Guangdong, the energy intensity effect is the main factor of carbon emission reduction, and the final demand effect is the main factor of carbon emission increase; the sectors with increased direct carbon intensity and complete carbon intensity are mainly the energy sector, whose carbon emission shows an increase, among which the proportion of carbon emission caused by direct consumption increases, and the carbon emission caused by indirect consumption is concentrated on the 1st and 2nd layer of production; the energy intensity effect is a key factor in the reduction of direct carbon emissions and complete carbon intensity in the non-energy sector.Finally, relevant measures are proposed to promote carbon emission reduction in Guangdong in terms of coping with the impact of high carbonization of final demand on carbon emission, optimization and adjustment of energy consumption structure and industrial structure, as well as government regulation and control means.