Dynamic evolution of characteristics and decomposition of factors influencing industrial carbon dioxide emissions in China: 1991–2015

摘要: Abstract In China, industry produces the largest amount of CO2 emissions and, thus, is area with greatest potential for reductions. this paper, we calculate 18 different energy sources China's and subsectors from 1991 to 2015 (including indirect production processes). The LMDI (Logarithmic Mean Divisia Index) method Tapio decoupling model are combined study dynamic evolution characteristics factors influencing emissions. changes in were further decomposed into coefficients, structure, intensity, intensity processes, industrial per capita output, population size. high energy-consumption sectors analyzed particular. results show that: 1) most years, relationship between economic growth shows a weak decoupling. Only 1996 1999 2014 was strong shown. 2) For as whole, impact output on positive 2015. second factor size, its effect more obvious 2006–2015. coefficient significant suppressing emissions, followed by processes. terms reduction, structure not obvious. 3) proportion sectors’ total steadily increasing trend, 71.60% 90.59% 2015; Manufacture Non-Metallic Mineral Products subsector highest, Smelting Pressing Ferrous Metals subsector.