NETWORK MEASUREMENT, PLATE RECOGNITION AND INTRA-REGIONAL COLLABORATION OF INNOVATION SPATIAL ASSOCIATION AMONG CITIES
Volume 2, Issue 2, pp 48-57
Author(s)
Guanghui Hou*, Guiming Liao
Affiliation(s)
School of Business, Guangdong University of Foreign Studies, Guangzhou, China.
Corresponding Author
Guanghui Hou
ABSTRACT
Accurately identifying the regional innovation spatial association network formed by the inter-regional innovation diffusion is conducive to promoting the rational allocation of innovation resources and improving the efficiency of regional collaborative innovation. Based on the modified gravity model to determine the innovative space association relation matrix, the characteristics and evolution of the inter-city innovative space association network in Guangdong province from 2006 to 2018 were analyzed by social network. During the sample investigation period, the density of the provincial innovative space associated network first decreased and then increased. On the whole, the innovation associated and spillover effect among cities were relatively obvious, but the structure of the inter-city innovative space network was relatively strict. The innovation space correlation network of the whole province presents an unbalanced situation, with obvious core-edge structure. Guangzhou and Shenzhen drive the formation of regional collaborative innovation pattern. Guangzhou, Shenzhen, Zhuhai and Foshan are in the "net benefit" sector, the peripheral cities of the Pearl River Delta are in the "broker" sector, and the cities in the east and northwest of Guangdong are in the "net spill" sector. Finally, it puts forward some Suggestions on regional coordinated development strategy to enhance independent innovation ability.
KEYWORDS
Regional innovation network; spatial network characteristics; network plate identification; collaborative innovation strategy.
CITE THIS PAPER
Hou Guanghui, Liao Guiming. Network measurement, plate recognition and intra-regional collaboration of innovation spatial association among cities. Eurasia Journal of Science and Technology. 2020, 2(2): 48-57.
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