Decoupling economic growth from CO2 emissions: A decomposition analysis of China's household energy consumption

This paper analyzes Chinese household CO2emissions in 1994-2012 based on the Logarithmic Mean Divisia Index(LMDI) structure decomposition model, and discusses the relationship between household CO2emissions and economic growth based on a decoupling indicator.The results show that in 1994-2012, household CO2emissions grew in general and displayed an accelerated growth trend during the early 21 st century. Economic growth leading to an increase in energy consumption is the main driving factor of CO2emission growth(an increase of 1.078 Gt CO2) with cumulative contribution rate of 55.92%, while the decline in energy intensity is the main cause of CO2emission growth inhibition(0.723 Gt CO2emission reduction) with cumulative contribution rate of 38.27%. Meanwhile, household CO2emissions are in a weak state of decoupling in general. The change in CO2emissions caused by population and economic growth shows a weak decoupling and expansive decoupling state, respectively. The CO2emission change caused by energy intensity is in a state of strong decoupling, and the change caused by energy consumption structure ?uctuates between a weak and a strong decoupling state.