| This paper takes China’s 30 provinces in 2005-2013 as research object,in addition to China’s Tibet autonomous region,China s Hong Kong,Macao and Taiwan regions to explore influence of subdivided industrial structure and its adjustment process on carbon intensity.descriptive analysis results show carbon intensity presents step distribution of eastward>central region>westward,and downtrend as a whole,while carbon emission is the opposite.Overall,industrial proportion is rising and dominant,and the proportion of primary industry declines.Higher proportion of primary industry,transportation and construction are mainly concentrated in the west.Moran’I demonstrates carbon intensity and industrial structure have positive spatial autocorrelation.And this paper selects spatial dubin model as econometric model via using traditional and robust lagrange multiplier test,Wald test,R2,economic meaning of variable coefficients and so on.Econometric result show the influence of transportation on carbon intensity was the most,next is industry>construction>primary industry>0>commerce,.The indirect effect of subdivided industry is transportation>primary industry>industry>construction>0>commerce.This may be related to industrial agglomeration.At the beginning,transportation and industry are leading factors in the carbon intensity increase,while transportation at the end.This paper studies the effect of comprehensive factors,showing energy consumption per unit GDP,industry,construction,population density have positive effects,and technology and forest coverage have negative effects.This article compares the predecessors’ research results about carbon intensity,trying to explore the influence of subdivided industry on carbon intensity.At last,suggestions are made to decrease carbon intensity,realize China’s Intended Nationally Determined Contributions together and control global greenhouse effect. |