Regions’ Technology Brokerage Patterns and Dynamics for Regional Development

Seo, Ilwon

doi:10.3390/su11092540

Cited by 7 publications

(3 citation statements)

References 64 publications

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“…While brokerage is becoming a more prevalent concept in this literature, only a few papers investigate the varying effect of different brokerage types. Drawing on the need to understand the heterogeneity of brokers, Seo [ 45 ] examines what kind of technology broker is needed for economic development; Sigler et al [ 46 ] look at city-regions in the context of global corporate networks, and by using the GF brokerage measure find that city-regions confer economic advantage through their brokerage roles. Martinus et al [ 47 ] investigate how small states and territories act as brokers in the global corporate network.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

A Weighted and Normalized Gould–Fernandez brokerage measure

et al. 2022

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The Gould and Fernandez local brokerage measure defines brokering roles based on the group membership of the nodes from the incoming and outgoing edges. This paper extends on this brokerage measure to account for weighted edges and introduces the Weighted–Normalized Gould–Fernandez measure (WNGF). The value added of this new measure is demonstrated empirically with both a macro level trade network and a micro level organization network. The measure is first applied to the EUREGIO inter-regional trade dataset and then to an organizational network in a research and development (R&D) group. The results gained from the WNGF measure are compared to those from two dichotomized networks: a threshold and a multiscale backbone network. The results show that the WNGF generates valid results, consistent with those of the dichotomized network. In addition, it provides the following advantages: (i) it ensures information retention; (ii) since no alterations and decisions have to be made on how to dichotomize the network, the WNGF frees the user from the burden of making assumptions; (iii) it provides a nuanced understanding of each node’s brokerage role. These advantages are of special importance when the role of less connected nodes is considered. The two empirical networks used here are for illustrative purposes. Possible applications of WNGF span beyond regional and organizational studies, and into all those contexts where retaining weights is important, for example by accounting for persisting or repeating edges compared to one-time interactions. WNGF can also be used to further analyze networks that measure how often people meet, talk, text, like, or retweet. WNGF makes a relevant methodological contribution as it offers a way to analyze brokerage in weighted, directed, and even complete graphs without information loss that can be used across disciplines and different type of networks.

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Section: Theoretical Backgroundmentioning

confidence: 99%

A Weighted and Normalized Gould–Fernandez brokerage measure

et al. 2022

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“…Gould 等 [12] 的研究， [31] 。这些企业早期已经与获取知识的区域外主体建立了稳定且可以信赖的联系，长期的合作可以降低交易成本且增加双向学习的机会 [32] [33] 。需要指出的是，一些企业尤其是浙江省的宁波市、绍兴市和台州市的企业由单纯的知识 "接收者" 转变为新知识的 "创造者" 和向其他主体外部主体的互动 [34] 。 "开放科学" 推动了大学科研范式的根本转型，大学开始从传统的学术 "象牙塔" 向守门人的组织角色转型 [6] 溢出； Jacobs [37] 论证了集聚经济对于创新活动非常重要，多样化的环境易于知识传递。因此为考虑到集聚带来的知识外部性，选取 2 个变量用以衡量创新投入的规模与集聚经济的相关性：第一个变量 NP 为城市在时间 t 的内部专利即排除包括城市外部发明人的专利数量。Kogler 等 [38] 认为该数值可以反映城市层面创新的规模效应以及知识扩张的潜力。第二个变量为创新主体的赫芬达尔-赫希曼指数(HHIm)，具体公式为：…”

Section: 识与资源。由于外部联系的重要性随着节点之间unclassified

Spatial evolution and mechanism of knowledge gatekeepers in the Yangtze River Delta region

LI¹,

GU²,

WANG³

et al. 2021

Progress in Geography

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“…The results showed that inter-city transfer of technology was increasingly higher frequency, and the network presented a core radiation pattern. Seo [40] used China's technology transfer stream network to reveal brokering models in three major regions: Beijing, Shanghai, and Shenzhen. They found that Beijing and Shenzhen tend to transfer technology as a national hub in the national innovation system, rather than as a local hub in large cities.…”

Section: Literature Reviewmentioning

confidence: 99%

Structural Characteristics and Spatial Patterns of the Technology Transfer Network in the Guangdong–Hong Kong–Macao Greater Bay Area

2020

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Recently, the Chinese government released the Outline of the Development Plan for the Guangdong–Hong Kong–Macao Greater Bay Area (GBA), raising the development of the GBA urban agglomeration to a national strategy. An efficient technology transfer network is conducive to promoting the integrated and coordinated development and enhancing the scientific and technological innovation capabilities of the GBA urban agglomeration. Therefore, this study uses the patent transaction data for three years (2010, 2014, and 2018), integrates data mining, and uses complex network analysis, based on full-flow and net-flow networks, from the overall characteristics, network node strength, network association, network node importance, and network communities to reveal the structural characteristics and spatial patterns of the technology transfer network in the GBA. The results revealed that: (1) Technology transfer networks (full-flow and net-flow) in the GBA show heterogeneity. (2) Full-flow network presents a clear hierarchy within the GBA, showing a “two poles and two strong” pattern, and technology transfer has the same city preference; outside the GBA, there are close technology transfer regions that have technical and geographical proximity characteristics; the net-flow network presents a “one pole, two strong” pattern, and Guangzhou has become the core region of the net-flow network. (3) Connection objects of the technology transfer network have path dependence and spatial preference. Coexistence of concentration and decentralization characterizes the spatial flow. (4) Spatial distribution of the hub and authority of the technology transfer network is heterogeneous and hierarchical. Each city in the GBA has its own technological advantages. (5) Spatial clustering characteristics of the community within the technology transfer network are obvious. (6) The GBA is dominated by the transfer of patented technology in the high-tech industry, while the transfer of patented technology in the traditional manufacturing industry also plays an important role.

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Regions’ Technology Brokerage Patterns and Dynamics for Regional Development

Cited by 7 publications

References 64 publications

A Weighted and Normalized Gould–Fernandez brokerage measure

A Weighted and Normalized Gould–Fernandez brokerage measure

Spatial evolution and mechanism of knowledge gatekeepers in the Yangtze River Delta region

Structural Characteristics and Spatial Patterns of the Technology Transfer Network in the Guangdong–Hong Kong–Macao Greater Bay Area

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