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This paper examines the distribution dynamics of carbon dioxide (CO2)emission intensity across 30 Chinese provinces using a weighted distributiondynamics approach. The results show that CO2 emission intensity tends todiverge during the sample period of 1995-2014. However, convergence clubs arefound in the ergodic distributions of the full sample and two sub-sampleperiods. Divergence, polarization and stratification are the dominantcharacteristics in the distribution dynamics. Weightings with economic andpopulation sizes have important impacts on current distributions and hence longrun steady distributions. Neglecting economic size may under-estimate thedeterioration in the long run steady state. The result also shows thatconditioning on space and income cannot eliminate the multimodality in the longrun distribution. However, capital intensity has important impact on theformation of convergence clubs. Our findings have contributions in theunderstanding of the spatial dynamic behaviours of CO2 emissions across Chineseprovinces, and have important policy implications for CO2 emissions reductionin China.

The distribution dynamics of Carbon Dioxide Emission intensity across Chinese provinces: A weighted Approach