Research on Marketization Process and Innovation Efficiency of Guangdong-Hong Kong-Macao Greater Bay Area-Spatial Autocorrelation Model Based on Geography and Network Weighting ()
ABSTRACT
This
paper uses the Malmquist index method to measure the innovation efficiency of
Guangdong-Hong Kong-Macao Greater Bay Area in 2009-2016, and decomposes the innovation
efficiency into resource allocation efficiency and technological progress rate.
It is found that the efficiency of innovation and allocation in Guangdong-Hong
Kong-Macao Greater Bay Area shows a steady growth trend. The cities on the west
bank of the Guangdong-Hong Kong-Macao Greater Bay Area are more obvious, but in
general, the cities on east coast of Guangdong-Hong Kong-Macao Greater Bay Area
have higher comprehensive efficiency and technological progress. On this basis,
the spatial measurement method is used to demonstrate the impact of the marketization
process of Guangdong-Hong Kong-Macao Greater Bay Area on its innovation
efficiency. The empirical results show that the marketization process has a significant
role in promoting the innovation efficiency of Guangdong-Hong Kong-Macao
Greater Bay Area. And there are certain regional differences. The innovation
efficiency of the cities on the west bank of the Guangdong-Hong Kong-Macao
Greater Bay Area is more significantly affected by the marketization process,
while the East Coast cities are more sensitive to changes in economic density
and industrial structure. In addition, there is a certain positive spatial
correlation between innovation efficiency, especially in the east coast cities
of Guangdong-Hong Kong-Macao Greater Bay Area. The cities with high innovation
efficiency show a certain geographical concentration distribution, indicating
that the regions with high innovation efficiency have certain promotion to
innovation efficiency of neighboring regions.
Share and Cite:
Fu, L. (2020) Research on Marketization Process and Innovation Efficiency of Guangdong-Hong Kong-Macao Greater Bay Area-Spatial Autocorrelation Model Based on Geography and Network Weighting.
Modern Economy,
11, 349-367. doi:
10.4236/me.2020.112027.