Structural heterogeneity and proximity mechanism of China’s inter-regional innovation cooperation network

Pan, Xiongfeng; Ai, Bowei; Guo, Shucen

doi:10.1080/09537325.2020.1740193

Cited by 26 publications

(9 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, we introduce the two network structures, namely, trade network density and trade network disparity, to explore the different moderating effects of trade network strength on the relationship between its brand firm's coopetition network position and market share. Disparity refers to the degree of redundancy between nodes (Cobena et al, 2017;Pan et al, 2020). When applied to trade networks, it suggests that the more disparity a country's trade network is, the more partners it has to trade with and the richer and more diverse the resources it can access.…”

Section: Two-layer Regulation Of Home Country's Trade Network Strengt...mentioning

confidence: 99%

The synergistic effect of the industrial international competitiveness and coopetition network position on market share: evidence from global automobile industry

Guan

Wang

Sun

2023

JBIM

View full text Add to dashboard Cite

Purpose This paper aims to examine how the firm’s global coopetition network position impacts market share and to explore the multiple moderating effects of trade network strength and structures on the relationship between firm global coopetition network position and market share. Design/methodology/approach This paper selects global automobile manufacturing firms as samples whose classification is “Automobile” in the Factiva database from 2014 to 2018 and develops the measurement for global coopetition network and trade network by using Ucinet6. Finally, Stata was used for data analysis. Findings This paper finds that structural holes and centrality are beneficial to improve global market share. And the trade network strength and structures have positive multiple moderating effects on the relationship between the firm global coopetition network position and market share. Originality/value This paper explores industrial international competitiveness according to the intricate trade relations among countries and the impact of industrial international competitiveness on the relationship between global coopetition network position of brand firms and market share. The results of this paper expand the current literature on the relationship between characteristics of coopetition network and trade network.

show abstract

Section: Two-layer Regulation Of Home Country's Trade Network Strengt...mentioning

confidence: 99%

The synergistic effect of the industrial international competitiveness and coopetition network position on market share: evidence from global automobile industry

Guan

Wang

Sun

2023

JBIM

View full text Add to dashboard Cite

show abstract

“…For example, Ejermo and Karlsson [16] believed that geographic distance is a key factor afecting patent cooperation networks, and there is generally a phenomenon of intraregional aggregation in patent cooperation networks. Pan et al [17] studied the patent cooperation networks in 31 provinces of China and found that geographical distance would have an impact on the linkage of patent cooperation networks. However, other scholars put forward diferent views.…”

Section: Research On the Evolution Of Innovation Networkmentioning

confidence: 99%

Evolution Characteristics of Advanced Nonferrous Metal Industry Patent Cooperation Network in China from the Perspective of Multilayer Network

Wang

Zhu

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The advanced nonferrous metal industry is a national strategic emerging industry, and its innovation ability is crucial to the transformation and development of downstream industries such as aerospace, rail transit, electronic information, and automobiles to the high end of the industrial value chain. The research on the evolution characteristics of its cooperative network is beneficial to the research on the mechanism of improving the innovation capability of the industry. Based on the cooperative invention patent application data in 2002–2020, using the social network analysis method and Gephi 0.9.2 visualization to construct a patent cooperation network and knowledge network, this paper analyzes the overall characteristics and evolution law of the patent cooperation network in the advanced nonferrous metal industry. It is found that, first, the structure of the innovation network in China’s advanced nonferrous metals industry is becoming more and more complex. The scale of the cooperation network and knowledge network is increasing, and the small world is obvious. Second, some innovation subjects, as key nodes, play the role of “bridge” and grasp the general direction of technology. The structure of the key nodes in the network has changed, and the cooperative innovation network of industry-university-research has gradually evolved from enterprise-led to university-led. Third, the number of technical categories has increased and the depth of technology has been enhanced in China’s advanced nonferrous metal field. Hot technical fields are characterized by high intensity, wide range, and stable advancement. Based on the research findings, some suggestions and enlightenment are put forward to promote the development of the advanced nonferrous metal industry.

show abstract

“…Chen and Guan (2015) and Li et al (2018) explore the evolution of network structure and its causes. Pan et al (2020) further examine the structural heterogeneity and proximity mechanism in the Chinese regional innovation network.…”

Section: Literature Reviewmentioning

confidence: 99%

Can a region’s network location characteristics affect its innovation capability? Empirical evidence from China

Han

Sun

2020

CMS

View full text Add to dashboard Cite

Purpose This study aims to explore the influence of a region’s network location characteristics and indirect connections on its innovation capability. The aim is to assist regions in different network locations to use innovation resources to improve their innovation capabilities more efficiently. Design/methodology/approach This paper represents the Chinese regional innovation network using the gravity model. A theoretical framework is developed to explore the relationships between a region’s innovation capability and its network location. Hypotheses are tested using hierarchical regressions. Findings First, this paper finds that a region’s network centrality can promote its innovation capability. Second, a structural hole can positively adjust the relationship between a region’s centrality and innovation capability. Third, a region’s indirect connections can inhibit its innovation capability while exhibiting a U-shaped relationship in moderating centrality and innovation capability. Originality/value This study uses a multi-index system to construct an innovation network covering 29 regions in China. This network represents the innovation cooperation and overall situation of innovation in China. The paper is one of the first attempts at investigating the relationship between regional network locations and innovation capability. It is also the first attempt at testing the influence of indirect connections on a region’s innovation capability. The findings provide a new perspective on the factors influencing regional innovation capacity and a new way for regions to improve their innovation capability.

show abstract

Structural heterogeneity and proximity mechanism of China’s inter-regional innovation cooperation network

Cited by 26 publications

References 27 publications

The synergistic effect of the industrial international competitiveness and coopetition network position on market share: evidence from global automobile industry

The synergistic effect of the industrial international competitiveness and coopetition network position on market share: evidence from global automobile industry

Evolution Characteristics of Advanced Nonferrous Metal Industry Patent Cooperation Network in China from the Perspective of Multilayer Network

Can a region’s network location characteristics affect its innovation capability? Empirical evidence from China

Contact Info

Product

Resources

About