The Study of Regional Innovation Network Structure: Evidence from the Yangtze River Delta Urban Agglomeration

Author:

Chen Jie1,Jiang Liang2,Tian Ye3,Luo Jing4

Affiliation:

1. School of Geography and Tourism, Huizhou University, Huizhou 516007, China

2. College of Urban and Environmental Sciences, Xuchang University, No. 88 Bayi Road, Xuchang 461000, China

3. Institute for Advanced Studies in Finance and Economics, Hubei University of Economics, No. 8 Yangqiaohu Road, Wuhan 430205, China

4. College of Urban and Environmental Sciences, Central China Normal University, No. 152 Luoyu Road, Wuhan 430079, China

Abstract

As a driving force for regional development, innovation holds an increasing position in regional competitiveness, and a reasonable and coordinated innovation network structure can promote high-quality regional development. Utilizing the modified gravity model and social network analysis method, an innovation network composed of 27 cities in the Yangtze River Delta urban agglomeration from 2010 to 2021 was studied. The following conclusions were founded: (1) The innovation development level in the Yangtze River Delta urban agglomeration was constantly improving, and the innovation development level generally showed a spatial pattern of high in the southeast and low in the northwest. (2) The intensity and density of innovation network correlations in urban agglomerations were increasing, and the centrality of network nodes had an obvious hierarchical characteristic. The innovation network had a significant core–periphery spatial structure, with core cities that had higher centrality, such as Shanghai, Nanjing, and Hangzhou, playing the role of “intermediaries” and “bridges”, while cities with lower centrality, such as Anhui and cities in northern Jiangsu, generally played the role of “periphery actors” in the network. (3) The spatial correlation network of innovation of the Yangtze River Delta urban agglomeration could be divided into four blocks, namely, main benefit, broker, two-way spillover, and net spillover, and the spillover effect among them had obvious gradient characteristics of hierarchy.

Funder

National Natural Science Foundation of China

Humanities and Social Science Foundation of the Ministry of Education of China

Doctoral Research Foundation of Huizhou University

Publisher

MDPI AG

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development

Reference62 articles.

1. Polycentric Urban Structure and Innovation: Evidence from a Panel of Chinese Cities;Li;Reg. Stud.,2022

2. Research on the Measurement of Collaborative Innovation Level and Evolution of Spatial Connection Network in Chengdu-Chongqing Economic Circle;Gong;Soft Sci.,2022

3. Urban Innovation Infrastructure and Innovation Output: An Empirical Analysis Based on 290 Cities at the Prefecture Level or above in China;Lv;Hum. Geogr.,2021

4. Castells, M. (2009). The Rise of the Network Society, Blackwell Publishing.

5. Large Teams Develop and Small Teams Disrupt Science and Technology;Wu;Nature,2019

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