Abstract: Based on the different decomposition hierarchies (3 industries, 8 sectors and 43 sub-industries),we use Logarithmic Mean Divisia Index (LMDI) techniques to decompose energy-related carbon emission changes from1994 to 2008 and from 1980 to 2008. Empirical studies indicate that: output effect and structural change effect are confirmed as the dominant contributors to the rise of carbon emission, technological effect and energy structural effect have the negative effect on carbon emission; the explanatory power of output effect, and technological effect and structural change effect decline as the level of sectoral disaggregation becomes finer, but the explanatory power of energy structural effect rises. the explanatory power of output effect and technological effect decline in the long run, however, the explanatory power of structural change effect and energy structural effect rise, and we find that energy structural change effect and energy price have the positive impact on the decoupling index of GDP and energy-related carbon emission.
Keywords: Carbon Emission，LMDI，Energy Structural Change，Decoupling Effect
source:Finance & Trade Economics ,No.2,2013