Abstract:Based on the function of human capital and the economic attribute of capital, the human capital structure is divided into scientific and technological innovation human capital to promote the transformation of resources, entrepreneur human capital to promote the effective allocation of resources and government human capital to improve the full utilization of resources. The super efficiency sbm-gml index model is used to calculate the prefecture level city data of China"s green total factor productivity, and the spatial Dobbin model is used to analyze the spatial effects of three kinds of human capital on urban green total factor productivity. The results show that: (1) there are significant spatial positive autocorrelation among urban green total factor productivity, green technology efficiency and green technology progress; (2) In the global space, resource transformation human capital and resource utilization human capital significantly promote the improvement of local green total factor productivity, while resource allocation human capital shows inhibitory effect; (3) In cities with different regions and population sizes, the impact of three kinds of human capital on green total factor productivity shows heterogeneity. Finally, it gives policy suggestions to improve green total factor productivity from the perspective of three human capital structures.