Spatial Characteristics of Regional Innovation Output and Its Influencing Factors

Abstract:

The Moran’s I index was used to conduct the spatial autocorrelation analysis of innovation output in 30 provincial adminstrative region. Then， the impact of different factors on regional innovation output was explored using the geographically weight regression （GWR） model. It is shown that regional innovation output has the characteristics of positive corelation. Jiangsu， Zhejiang， and Shanghai have become the typical “hot spots” of regional innovation，and promote the development of surrounding areas；the effect of the factors，i.e.，R&D full-time equivalent， R&D input intensity， the number of college students per 100 000 persons and the number of mobile Internet users， on innovation output is significantly different in different areas.