Although the inter-provincial correlation of carbon emission has been taken into account in the measurement of complete carbon emission intensity, due to the neglect of economic correlation, the existing measurement could be biased. Considering both the carbon emissions and economy correlation among regions, based on the multi-region input-output model, the paper re-measures the regional complete carbon emission intensity in China in 2010 and 2015 to analyze its spatio-temporal evolution characteristics. The results show that, on the perspective of time evolution, China’s carbon emission reduction during the 12th Five-Year Plan period has achieved significant results, with the total carbon emission intensity of each region reduced by 26.25% on average. From the perspective of spatial characteristics, in 2010 and 2015, the regions with the highest complete carbon emission intensity are Shanxi and Inner Mongolia, and the region with the lowest is Beijing. But from the perspective of external-drive carbon emission intensity, it is not only lower in Inner Mongolia than that in Beijing, but also significantly lower than the national average level. Compared with the direct carbon emission intensity and the complete carbon emission intensity measured by the traditional method, the complete carbon emission intensity considers both the carbon emission and economic correlation, which not only avoids the interference of the embodied carbon problem on the intensity measurement, but also realizes the transformation from the territorial boundary to the territorial behavior constraint. it is helpful to the realization of the national overall carbon emission control target.