Abstract
Based on the modified gravity model, a spatial correlation network of innovation was constructed among cities in Guangdong, China. Social network analysis was employed to explore their evolution characteristics during 2009–2017. The results indicate that the innovation output of prefecture-level cities in Guangdong Province shows both spatial correlations and differences. Their network shows lower density, higher efficiency, and rigid stratification properties. Based on small cluster analysis, these cities are classified into four blocks, the members of which changed. In 2017, four well-defined subgroups formed, which are “bidirectional spillover plate”, “main spillover plate”, “net beneficial plate”, and “agent plate”. With this network, the geographical characteristics of the innovation capabilities and differences among the cities in Guangdong, as well as the different positions and roles of each city in the associated network, can be properly understood. Consequently, the transmission mechanisms and development strategies of innovation in Guangdong Province can be better explored.
Publisher
Public Library of Science (PLoS)
Reference40 articles.
1. Innovation network, knowledge spillover and high quality integrated development: An empirical study based on the urban agglomeration of the Yangtze River Delta;D S YIN;Shanghai Journal of Economics,2019
2. The Development of Technology Spatial Diffusion Theory and the Inspiration for China. Science &;Z. Mi;Technology Progress and Policy,2010
3. Is there a Threshold Effect for Pollution Abatement Policies Affecting the Industrial Structure Adjustment?;X R Yuan Yijun;Economic Review
4. New Structural Economics: Reconstructing the Framework of Development Economics;L. Yifu;China Economic Quarterly,2011
5. Clean technological change in developing-country industrial clusters: Mexican leather tanning;ALLEN BLACKMAN;Environmental Economics and Policy Studies,2010