Analysis on Evolution Characteristics and Dynamic Mechanism of Urban Green Innovation Network: A Case Study of Yangtze River Economic Belt
Renjie Zhang,
Hsingwei Tai,
Kuo-Tai Cheng,
Zhengxu Cao,
Huizhong Dong and
Junjie Hou
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Renjie Zhang: China Aerospace Academy of Systems Science and Engineering, Beijing 100830, China
Hsingwei Tai: School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255000, China
Kuo-Tai Cheng: Department of Environmental and Cultural Resources, National Tsing Hua University, Hsinchu 300044, Taiwan
Zhengxu Cao: Management College, Ocean University of China, Qingdao 266100, China
Huizhong Dong: School of Management, Shandong University of Technology, Zibo 255000, China
Junjie Hou: China Aerospace Academy of Systems Science and Engineering, Beijing 100830, China
Sustainability, 2021, vol. 14, issue 1, 1-19
Abstract:
This study puts forward a logical framework for green innovation network analysis, which includes a spatial dimension, a relational dimension, and a systems dimension. Here, we put forward some basic research ideas concerning the optimization and regulation of green innovation networks in terms of the systems dimension and we investigate the micro-dynamic mechanisms of green innovation network expansion using a spatial econometric model. Our main research results are as follows: The efficiency of green innovation in the Yangtze River Economic Belt has improved significantly, however, the gap between cities has gradually increased, and a problem of efficiency regression has emerged. The green innovation network has changed from the primary stage dominated by Edge Network to the rapid growth stage dominated by Supporting Network, and formed a complex network pattern with diversified hierarchical structure. Node symmetry is helpful in forming more extroverted connections and promoting the expansion of green innovation networks. Node proximity and connection symmetry inhibit the growth and development of networks, and knowledge flow cooperation networks can accelerate the evolution of green innovation networks. Finally, this paper holds that we should combine the actual development needs, emphasize the basic principles of differentiated development, and construct the development pattern of regional collaborative innovation. This can also provide a theoretical reference for enriching our understanding of green innovation networks while narrowing the gap between cities.
Keywords: Yangtze River Economic Belt; green innovation network; social network analysis; gravitational model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2021:i:1:p:297-:d:712810
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