The Formation of Knowledge Flow Networks in the Yangtze River Delta, China: Knowledge Implicitness and Proximity Effect

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Udgivet i:Sustainability vol. 17, no. 2 (2025), p. 740
Hovedforfatter: Zhu, Pengcheng
Andre forfattere: Chen, Jianglong, Yuan, Feng, Liu, Weichen
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MDPI AG
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035 |a 3159586134 
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100 1 |a Zhu, Pengcheng  |u Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 211135, China; <email>pczhu@niglas.ac.cn</email> (P.Z.); <email>fyuan@niglas.ac.cn</email> (F.Y.); <email>weicliu@niglas.ac.cn</email> (W.L.); University of Chinese Academy of Sciences, Beijing 100049, China 
245 1 |a The Formation of Knowledge Flow Networks in the Yangtze River Delta, China: Knowledge Implicitness and Proximity Effect 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Knowledge flow as the key to facilitating new technology production and diffusing innovation is crucial for achieving sustainable development. However, previous studies pay less attention to the type of knowledge in knowledge flow network construction, possibly leading to the deviation of conclusions. To fully show the panorama of knowledge flow, this study distinguishes between explicit and tacit knowledge based on the transfer of patent rights data and talent flow data, describes the spatial characteristics of flow networks and uses a multiple regression quadratic assignment procedure model to analyze the proximity mechanism of network formation in the Yangtze River Delta. We find that knowledge flow networks in the Yangtze River Delta cover a wide range but are extremely uneven, mainly concentrated along the Yangtze River and around Hangzhou Bay. In addition, the spatial structures of different types of knowledge flow networks vary. Different dimensions of proximity act in relatively consistent directions for both types of knowledge flows, with geographical and organizational proximity found to exert positive effects on facilitating knowledge flows while cognitive proximity has a negative impact. There is also a substitution effect between geographical proximity and organizational proximity, and a complementary effect with cognitive proximity. These findings provide significant implications for optimizing knowledge flow networks and promoting sustainable development. 
651 4 |a China 
651 4 |a Yangtze River Delta 
653 |a Innovations 
653 |a Patents 
653 |a Economic development 
653 |a Explicit knowledge 
653 |a Collaboration 
653 |a Sustainable development 
653 |a Tacit knowledge 
653 |a Friendly fire 
653 |a Knowledge management 
700 1 |a Chen, Jianglong  |u Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 211135, China; <email>pczhu@niglas.ac.cn</email> (P.Z.); <email>fyuan@niglas.ac.cn</email> (F.Y.); <email>weicliu@niglas.ac.cn</email> (W.L.) 
700 1 |a Yuan, Feng  |u Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 211135, China; <email>pczhu@niglas.ac.cn</email> (P.Z.); <email>fyuan@niglas.ac.cn</email> (F.Y.); <email>weicliu@niglas.ac.cn</email> (W.L.) 
700 1 |a Liu, Weichen  |u Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 211135, China; <email>pczhu@niglas.ac.cn</email> (P.Z.); <email>fyuan@niglas.ac.cn</email> (F.Y.); <email>weicliu@niglas.ac.cn</email> (W.L.) 
773 0 |t Sustainability  |g vol. 17, no. 2 (2025), p. 740 
786 0 |d ProQuest  |t Publicly Available Content Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3159586134/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3159586134/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3159586134/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch