Does network position foster knowledge production? Evidence from international scientific collaboration network

Gui, Qinchang; Liu, Chengliang; Du, Debin

doi:10.1111/grow.12263

Cited by 28 publications

(20 citation statements)

References 102 publications

(170 reference statements)

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“…Kunze [33] explored the relationship between innovation and trade in Europe. Gui et al [34] discussed the proximity mechanism of the global cooperation network for scientific research papers. is study adopts this model, which is based on the conceptual framework of multidimensional proximity, to develop a proximity mechanism model for intercity innovation networks as follows: R&D expenditure, human capital, and GDP per capita:…”

Section: Spatial Interaction Modelmentioning

confidence: 99%

Hierarchical Characteristics and Proximity Mechanism of Intercity Innovation Networks: A Case of 290 Cities in China

et al. 2021

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The formation mechanism of innovation networks is one of the core issues in the current research of innovation networks, and proximity plays an important role in the formation and development of innovation networks; however, which proximity is more important and how different proximities interact remain to be further researched. This study conducts a social network analysis and adopts a spatial interaction model to examine innovation networks among 290 Chinese cities. The results reveal that, first, the hierarchical characteristics of Chinese cities’ innovation networks reflect a core periphery structure and the spatial patterns of large dispersion and small agglomeration. Further, bound by the Hu line, the hierarchy is high in the east and low in the west. Second, geographical, institutional, and cognitive proximities positively affect Chinese cities’ innovation networking. Cognitive proximity, particularly, has the highest impact. Geographical proximity reinforces the effect of institutional proximity, and thus, their interactions are complementary.

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Section: Spatial Interaction Modelmentioning

confidence: 99%

Hierarchical Characteristics and Proximity Mechanism of Intercity Innovation Networks: A Case of 290 Cities in China

et al. 2021

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“…Therefore, this paper selects the Web of Science (WOS) core collection, which is consistent with relevant research (Li and Phelps, 2017;Gui et al, 2018a;2018b). Also, we set English as the language, and the document type is article.…”

Section: Data Source and Processingmentioning

confidence: 99%

Spatial Structure, Hierarchy and Formation Mechanisms of Scientific Collaboration Networks: Evidence of the Belt and Road Regions

Liu

2020

Chin. Geogr. Sci.

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Scientific collaboration has become an important part of the people-to-people exchanges in the Belt and Road initiative, and remarkable progress has been made since 2013. Taking the 65 countries along the Belt and Road (BRI countries) as the research areas and using collaborated Web of Science (WOS) core collection papers to construct an international scientific collaboration matrix, the paper explores the spatial structure, hierarchy and formation mechanisms of scientific collaboration networks of 65 countries along the Belt and Road. The results show that: 1) Beyond the Belt and Road regions (BRI regions), Central & Eastern Europe, China and West Asia & North Africa have formed a situation in which they all have the most external links with other countries beyond BRI regions. China has the dominant role over other BRI countries in generating scientific links. The overall spatial structure has changed to a skeleton structure consisting of many dense regions, such as Europe, North America, East Asia and Oceania. 2) Within the Belt and Road regions, Central & Eastern Europe has become the largest collaboration partner with other sub-regions in BRI countries. The spatial structure of scientific collaboration networks has transformed from the 'dual core' composed of China and the Central & Eastern Europe region, to the 'multi-polarization' composed of 'one zone and multi-points'. 3) The hierarchical structure of scientific collaboration networks presents a typical 'core-periphery' structure, and changes from 'single core' to 'double cores'. 4) Among the formation mechanisms of scientific collaboration networks, scientific research strength and social proximity play the most important roles, while geographical distance gradually weakens the hindrance to scientific collaboration.

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“…4, November 2020 According to the research on social cooperation networks, innovation subjects in a good position on social networks are conducive to improve the innovation performance [14]. Moreover, the centrality analysis of network nodes is an important and effective measure for network location [15], [16]. Generally speaking, degree centrality of a node is a measure of the number of connections established between a node and other nodes.…”

Section: Research On Patent Innovation Cooperation Network Of Chinmentioning

confidence: 99%

Research on Patent of Chinese Central Cities: From the Perspective of Cooperative Networks

Peng¹,

Runqiang²

2020

IJSSH

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In the context of a new round of scientific and technological revolution and industrial change, patent cooperation innovation between central cities has increasingly become an important path for central cities to obtain innovative resources and achieve innovative development. This paper takes 20 typical central cities in China as research objects, and studies its patent application, patent structure, patent input-output situation, and patent cooperation in central cities. The study found that the patent application, structure, and input-output situation of Chinese central cities showed typical regional imbalances, and that the regional imbalances were significantly linked to the imbalances of patent cooperation in central cities of China. This paper considers that the research on the patent innovation performance of Chinese central cities based on cooperation networks is more reasonable. It also provides important inspiration and reference for cross-regional cooperation among innovation subjects.

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Does network position foster knowledge production? Evidence from international scientific collaboration network

Cited by 28 publications

References 102 publications

Hierarchical Characteristics and Proximity Mechanism of Intercity Innovation Networks: A Case of 290 Cities in China

Hierarchical Characteristics and Proximity Mechanism of Intercity Innovation Networks: A Case of 290 Cities in China

Spatial Structure, Hierarchy and Formation Mechanisms of Scientific Collaboration Networks: Evidence of the Belt and Road Regions

Research on Patent of Chinese Central Cities: From the Perspective of Cooperative Networks

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