The Spatial Spillover Effect of China’s High-tech Industry Agglomeration and its Regional Differences——A Spatial Econometric Study Based on Jechnological Distance Weighting Method
The Spatial Spillover Effect of China’s High-tech Industry Agglomeration and its Regional Differences——A Spatial Econometric Study Based on Jechnological Distance Weighting Method
WANG Peng, WU Silin
College of Economics, Jinan University, Guangzhou 510632, China
Abstract The externality of high-tech industries is affected by the spillover effects of agglomeration, and the difference of spillover will be reflected in the regional differences in the development of high-tech industries. The paper carries on an empirical analysis on China’s high-tech industry agglomeration spatial spillover effects from national and regional perspectives with the single-regime and two-regime Durbin Model. The paper also takes a discussion on the differences of spatial spillover effect in the coastal area and inland. The results show that China’s high-tech industry agglomeration spatial spillover effect is obvious, the difference in the overflow direction lead to coastal area is given priority to with diversified agglomeration, inland is given priority to with centralized agglomeration. At the same time, the agglomeration of high-tech industries in China’s various regions has developed different levels of spillovers through R&D investment, investment and market size. Among them, the R&D fund investment promotes positive spillover, but the R&D personnel input has the inhibition effect. The positive spillover effect of investment in high-tech industries is obvious, and it also has a significant effect on local agglomeration. The expansion of market size will bring more competition and cause decentralization, weaken the convergence and restrain positive spillovers.
WANG Peng,WU Silin. The Spatial Spillover Effect of China’s High-tech Industry Agglomeration and its Regional Differences——A Spatial Econometric Study Based on Jechnological Distance Weighting Method. Economic Survey, 2020, 37(2): 086.
2020, Vol. 37 
