An empirical study of China's regional RD knowledge spillovers based on GWR

摘要

The present paper employs technique of geographical weighted regression (GWR) to make an empirical study of China's R&D knowledge spillovers at city level. Conventional regression analysis can only produce "aver-age" and "global"parameter estimates rather than "local" parameter estimates which vary over space in some spatial systems. Geographically weighted regression (GWR), on the other hand, is a simple but useful new technique for the analysis of spatial nonstationarity. Results show that there is a signiicant difference between OLS and GWR in estimating the parameters of R&D knowledge production, and that the relationships between level of regional innovation activities and various factors show considerable spatial variability.