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The co-evolution of internal knowledge characteristics of cities and external technology transfer: based on a cross-level network perspective.

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Title: The co-evolution of internal knowledge characteristics of cities and external technology transfer: based on a cross-level network perspective.
Authors: Wang, Keping1 (AUTHOR) lssywkp@126.com, Dong, Ying1 (AUTHOR) dongying@zust.edu.cn
Source: Journal of Technology Transfer. Jun2026, Vol. 51 Issue 3, p1510-1535. 26p.
Subjects: Technology transfer, Knowledge base, Economic development, Open innovation, Urban studies, Social network theory
Geographic Terms: Yangtze River Delta (China)
Abstract: This study adopts a cross-level network perspective to analyze 41 cities in the Yangtze River Delta (2013–2018) using granted invention patent and transfer data. By constructing a multilevel framework encompassing city-knowledge networks and urban technology transfer networks, it explores the co-evolution of internal innovation strategies and external partner searches through social network and open innovation theories. The results reveal that knowledge diversity hinders technology transfer, whereas technology transfer fosters knowledge diversity and drives knowledge structure differentiation across cities. Higher knowledge proximity strengthens technology transfer ties. Additionally, city openness and administrative level mitigate the negative impact of knowledge diversity on technology transfer, while economic development and innovation capability amplify both the positive effect of technology transfer on knowledge diversity and its negative impact on knowledge proximity. These findings highlight a dynamic, bidirectional interaction between urban knowledge characteristics and technology transfer, enriching social network and open innovation theory while providing practical insights for cities to balance internal innovation with external collaborations. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Technology Transfer is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: The co-evolution of internal knowledge characteristics of cities and external technology transfer: based on a cross-level network perspective.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Keping%22">Wang, Keping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lssywkp@126.com</i><br /><searchLink fieldCode="AR" term="%22Dong%2C+Ying%22">Dong, Ying</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> dongying@zust.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Technology+Transfer%22">Journal of Technology Transfer</searchLink>. Jun2026, Vol. 51 Issue 3, p1510-1535. 26p.
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  Data: <searchLink fieldCode="DE" term="%22Technology+transfer%22">Technology transfer</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+base%22">Knowledge base</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+development%22">Economic development</searchLink><br /><searchLink fieldCode="DE" term="%22Open+innovation%22">Open innovation</searchLink><br /><searchLink fieldCode="DE" term="%22Urban+studies%22">Urban studies</searchLink><br /><searchLink fieldCode="DE" term="%22Social+network+theory%22">Social network theory</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Yangtze+River+Delta+%28China%29%22">Yangtze River Delta (China)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study adopts a cross-level network perspective to analyze 41 cities in the Yangtze River Delta (2013–2018) using granted invention patent and transfer data. By constructing a multilevel framework encompassing city-knowledge networks and urban technology transfer networks, it explores the co-evolution of internal innovation strategies and external partner searches through social network and open innovation theories. The results reveal that knowledge diversity hinders technology transfer, whereas technology transfer fosters knowledge diversity and drives knowledge structure differentiation across cities. Higher knowledge proximity strengthens technology transfer ties. Additionally, city openness and administrative level mitigate the negative impact of knowledge diversity on technology transfer, while economic development and innovation capability amplify both the positive effect of technology transfer on knowledge diversity and its negative impact on knowledge proximity. These findings highlight a dynamic, bidirectional interaction between urban knowledge characteristics and technology transfer, enriching social network and open innovation theory while providing practical insights for cities to balance internal innovation with external collaborations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Technology Transfer is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1007/s10961-025-10203-z
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      – Code: eng
        Text: English
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        PageCount: 26
        StartPage: 1510
    Subjects:
      – SubjectFull: Technology transfer
        Type: general
      – SubjectFull: Knowledge base
        Type: general
      – SubjectFull: Economic development
        Type: general
      – SubjectFull: Open innovation
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      – SubjectFull: Urban studies
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      – SubjectFull: Social network theory
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      – SubjectFull: Yangtze River Delta (China)
        Type: general
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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