Influence of an interurban innovation network on the innovation capacity of China: A multiplex network perspective

Zhao, Feng; Cai, Hechang; Chen, Zinan; Zhou, Wen

doi:10.1016/j.techfore.2022.121651

Cited by 29 publications

(15 citation statements)

References 63 publications

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“…Innovation collaborations can be organized and managed at multiple levels of analysis [29] with a multilevel network perspective [46,47]. However, most studies on innovative complex networks focus on single-layer and homogeneous networks, ignoring the underlying characteristics of real complex innovation ecosystems.…”

Section: Multilayer Heterogeneous Network For Innovation and Datamentioning

confidence: 99%

Exploring Innovation Ecosystem with Multi-Layered Heterogeneous Networks of Global 5G Communication Technology

Zhang,

Cui,

2024

Sustainability

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This study explores the dynamics of emerging technology innovation ecosystems, viewing them as complex systems comprising social actors and knowledge artifacts engaged in innovation interactions. Employing a multilayer network perspective, we present a Social-Knowledge-Science-Technology (A-K-S-T) framework, examining both homogeneous and heterogeneous interactions among innovators and knowledge elements. Within this framework, we map out the technological landscape, identify ecological niches for specific actors and knowledge elements, and gauge knowledge proximity among innovators, revealing opportunities for collaboration and knowledge innovation. Using 5G technology as an illustrative example, key findings include the potential for innovation development in 5G, the need for enhanced collaboration among organizations in related technological fields, and the complementary nature of scientific and technological knowledge. This research contributes to innovation ecosystem literature, offering insights for management, governance, efficiency, and shared prosperity; meanwhile, it is a valuable reference for decision-makers to shape effective strategies.

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Section: Multilayer Heterogeneous Network For Innovation and Datamentioning

confidence: 99%

Exploring Innovation Ecosystem with Multi-Layered Heterogeneous Networks of Global 5G Communication Technology

Zhang,

Cui,

2024

Sustainability

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“…The construction of regional innovation networks is often limited to the use of co-authored paper data or joint patent data. Although some studies have tried to analyze the level of regional collaborative innovation by combining the spatial status of knowledge innovation networks and technological innovation networks 19 – 22 , it is still difficult to fully reflect the multidimensional evolutionary symbiosis network characteristics of RIE.…”

Section: Introductionmentioning

confidence: 99%

Spatial structure and network characteristics of the coupling coordination innovation ecosystems in the Guangdong–Hong Kong–Macao Greater Bay area

Yang,

Li,

Wang

et al. 2024

Sci Rep

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In recent times, a new wave of scientific and technological advancements has significantly reshaped the global economic structure. This shift has redefined the role of regional innovation, particularly in its contribution to developing the Guangdong–Hong Kong–Macao Greater Bay area (GBA) into a renowned center for science, technology, and innovation. This study constructs a comprehensive evaluation system for the Regional Innovation Ecosystem (RIE). By applying the coupling coordination degree model and social network analysis, we have extensively analyzed the spatial structure and network attributes of the coupled and coordinated innovation ecosystem in the GBA from 2010 to 2019. Our findings reveal several key developments: (1) There has been a noticeable rightward shift in the kernel density curve, indicating an ongoing optimization of the overall coupling coordination level. Notably, the center of gravity for coupling coordination has progressively moved southeast. This shift has led to a reduction in the elliptical area each year, while the trend surface consistently shows a convex orientation toward the center. The most significant development is observed along the ‘Guangdong–Shenzhen–Hong Kong–Macao Science and Technology Innovation Corridor’, where the level of coupling coordination has become increasingly pronounced. (2) The spatial linkages within the GBA have been strengthening. There are significant spatial transaction costs in the regional innovation ecological network. In the context of the 2019 US-China trade war, the cities of Jiangmen and Zhaoqing experienced a notable decrease in connectivity with other cities, raising concerns about their potential marginalization. (3) Guangzhou, Shenzhen, and Hong Kong have emerged as core nodes within the network. The network exhibits a distinctive “core–edge” spatial structure, characterized by both robustness and vulnerability in various aspects.

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“…However, social network analysis's connection, balance, and dynamism are crucial for closing the regional innovation development gap and fostering regional innovation. Fourth, while some studies have attempted to analyze the level of regional collaborative innovation by combining the spatial states of knowledge innovation networks and technology innovation networks (Feng et al, 2022;Fleming et al, 2007;Guan & Liu;Singh, 2005), it is still challenging to fully reflect the network characteristics of the multidimensional evolutionary symbiosis of regional innovation. Currently, most researchers tend to limit the construction of regional innovation networks to co-authored paper data or joint patent data.…”

Section: Introductionmentioning

confidence: 99%

Spatial Structure and Network Characteristics of the Coupling Coordination Innovation Ecosystems in the Guangdong-Hong Kong-Macao Greater Bay Area

Zhang¹,

Li²,

Wang

et al. 2023

Preprint

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Using the coupling coordination degree model and social network analysis, the spatial structure and network characteristics of the coupling coordination of regional innovation ecosystems in the Guangdong-Hong Kong-Macao Greater Bay Area from 2010-2019 are explored in depth. The findings indicate that: (1) the kernel density curve is moving to the right, and the overall coupling coordination level is continuously optimized. The centre of gravity for coupling coordination shifts to the southeast, the elliptical area decreases year by year, and the trend surface always maintains a convex tendency toward the centre, with the coupling coordination level along the "Guangdong-Shenzhen-Hong Kong-Macao Science and Technology Innovation Corridor" becoming more and more prominent. (2) The spatial linkages in the Greater Bay Area are becoming closer, and there are significant spatial transaction costs in the regional innovation ecological network. In the face of the US-China trade war in 2019, Jiangmen and Zhaoqing's level of connectivity with other cities decreases significantly, and there is a risk of marginalization. (3) Guangzhou, Shenzhen and Hong Kong are the core nodes of the network. The "core-edge" spatial structure of the network is significant, displaying the dual traits of robustness and susceptibility.

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Influence of an interurban innovation network on the innovation capacity of China: A multiplex network perspective

Cited by 29 publications

References 63 publications

Exploring Innovation Ecosystem with Multi-Layered Heterogeneous Networks of Global 5G Communication Technology

Exploring Innovation Ecosystem with Multi-Layered Heterogeneous Networks of Global 5G Communication Technology

Spatial structure and network characteristics of the coupling coordination innovation ecosystems in the Guangdong–Hong Kong–Macao Greater Bay area

Spatial Structure and Network Characteristics of the Coupling Coordination Innovation Ecosystems in the Guangdong-Hong Kong-Macao Greater Bay Area

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