Abstract
By utilizing the human capital penal data of China’s 31 provinces that was measured and calculated by J-F life time revenue from 1985 to 2012, it introduces the spatial factor, by using exploratory spatial data analysis (ESDA) method, through space bitmap, global Moran’s I, Moran scatter diagram to describe the spatial distribution characteristic of Chinese provincial human capital and its inner mechanism. Chinese provincial human capital’s spatial distribution had the non-equilibrium characteristics and spatial aggregation tendency, and the human capital was highly centered in a limited number of provinces; there’s the high significance spatial self-correlation in Chinese provincial human capital, with the interaction between the human capitals in different provinces; there’s also the local relativity and heterogenicity in the provincial human capital distribution.
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