Decomposition analysis of PM_2.5 emissions based on LMDI and Tapio decoupling model: study of Hunan and Guangdong

This paper takes energy consumption PM_2.5 emission as research object, and quantitatively analyzes the PM_2.5 emission level in Hunan and Guangdong provinces from 2012 to 2017. We build a PM_2.5 emission decomposition model divided by five sectors, including industry, transportation, construction, resident, and other, and use attribution method and Tapio decoupling index to analyze the relationship between economic development and PM_2.5 emission level. The results show that (1) the difference in PM_2.5 emissions between the two provinces appeared in 2015; (2) the contribution rate of total PM_2.5 emissions is 83.1%, and coal consumption is the determine factor of PM_2.5 emissions; industry is the main source of sector contribution with rate of 70.91%; (3) Guangdong's pollution control capacity is much higher than that of Hunan, while Hunan's PM_2.5 marginal emission-reduction potential is much higher than that of Guangdong; (4) economic growth is the first increasing emission reason of PM_2.5 emission changes, while the intensity of industrial energy consumption is the first reduction emission reason; (5) there is a big difference between the economic development of the two provinces and the decoupling of PM_2.5 pollution.