Research on spatial club convergence of regional carbon emissions in China: Based on spatial effect

Dalai Ma

Abstract


We analyze the spatial correlation of China’s regional carbon emissions in 1998-2012 and then construct the spatial econometric model for empirical study of spatial club convergence of regional carbon emissions. Result indicates that within the sample period, regional carbon emissions of different provinces have great variability. Moran’s I indicates strong spatial auto-correlation in regional carbon emissions of China with an obvious trend of clustering. Club clustering is performed over regional carbon emissions based on spatial dependence, and H-H and L-L clusters are more prominent. Within these two spatial clubs, the provincial-level carbon emissions tend to converge, and the convergence speed of L-L club is faster than that of H-H club.


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Revista de la Facultad de Ingeniería,

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