Abstract：
Coordinated development is an important goal in China’s transition, and the distribution of human capital and knowledge resources has an eastern preference. Human capital is divided into primary and intermediate human capital and advanced human capital. We select panel data of China’s 30 provinces and cities from 2006 to 2017, and use the spatial Dubin model to analyze how China’s unbalanced human capital agglomeration guides knowledge spillovers to promote coordinated transformation between regions. The results show : (1) The concentration of junior and intermediate human capital and high-level human capital have a significant role in promoting the upgrading of the regional industrial structure, and knowledge stock and quality have opposite effects on the upgrading of the industrial structure. (2) There is a matching difference between the accumulation of heterogeneous human capital and the knowledge effect. Under the circular causal chain, the knowledge effect brought by heterogeneous human capital does not match the knowledge effect required for industrial structure upgrade. (3) From the perspective of labor market segmentation, some regions have a “lock-in effect” on the accumulation of advanced human capital, and the channel for knowledge quality spillovers to promote the upgrading of the industrial structure is not smooth.
JIANG Sanliang, ZHAO Mengchan, CHENG Yongsheng.Agglomeration of Heterogeneous Human Capital and Upgrading of Industrial Structure——Based on the Perspective of Knowledge Spillover Matching[J] Economic Survey, 2020,V37(5): 81-89
2020 
