Abstract:

From the spatial geographical perspective the spatial dependence of Chinas provincial carbon emission was examined， and based on the spatial panel data model， the contribution of different influencing factors to carbon emission growth was estimated. It was found that there exists spatial dependence in Chinas provincial energy carbon emission from 2000 to 2012， and the spatial spillover effects of neighboring provincial carbon emission and influencing factors are remarkable—the coefficients of economic growth， financial development， urbanization rate， industrial structure and export dependence are positive， the effect of population and technological progress on reducing carbon emission growth is remarkable， but the effect of energy price on carbon emission growth fails to pass the test of significance. In policy making and development planning， the government should take into account the effect of neighboring regions carbon emission， and integrate carbon emission and the spatial spillover effect of related influencing factors so as to reduce Chinas carbon emission in both temporal and spatial dimensions as a whole.

Key words: carbon emission, spatial spillover, spatial panel data model