Spatio-Temporal Geographic Networks for Value Co-Creation and Technology Transfer in China with Patent Data

With the increasing complexity of technology, cross-regional joint patent applications and patent transfers have become a prominent component of knowledge activities, attracting substantial attention of academic researchers. To examine the state and distribution characteristics of inter-city knowledge flows, this study utilizes patent data from the China National Intellectual Property Administration database and conducts in-depth data exploration to construct two urban knowledge networks (UKN). Specifically, over 1.23 million value co-creation patents are extracted to develop the urban value co-creation knowledge network (UKN-C), while more than 1.42 million technology transfer patents are refined to establish the urban technology transfer knowledge network (UKN-T). Both UKNs start with cities as nodes and knowledge connections between cities as edges. The edges of UKN-C are weighted by the volume of value co-creation patents, whereas the edges of UKN-T are weighted by the volume of technology transfer patents. To facilitate further research, the geographically explicit and spatial-temporal knowledge flow networks have been released in a simple and accessible format.

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Publication Details

Journal
Scientific Data
Published
2025-07-14
DOI
https://doi.org/10.1038/s41597-025-05589-2
Citations
1
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
2.23

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Spatio-Temporal Geographic Networks for Value Co-Creation and Technology Transfer in China with Patent Data

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article

Spatio-Temporal Geographic Networks for Value Co-Creation and Technology Transfer in China with Patent Data

Anboyuan Lv, Jingjing Tian, Yi Su, Pengfei Zhi, Jiahui Chai
article en
1 citations

Abstract

With the increasing complexity of technology, cross-regional joint patent applications and patent transfers have become a prominent component of knowledge activities, attracting substantial attention of academic researchers. To examine the state and distribution characteristics of inter-city knowledge flows, this study utilizes patent data from the China National Intellectual Property Administration database and conducts in-depth data exploration to construct two urban knowledge networks (UKN). Specifically, over 1.23 million value co-creation patents are extracted to develop the urban value co-creation knowledge network (UKN-C), while more than 1.42 million technology transfer patents are refined to establish the urban technology transfer knowledge network (UKN-T). Both UKNs start with cities as nodes and knowledge connections between cities as edges. The edges of UKN-C are weighted by the volume of value co-creation patents, whereas the edges of UKN-T are weighted by the volume of technology transfer patents. To facilitate further research, the geographically explicit and spatial-temporal knowledge flow networks have been released in a simple and accessible format.

Scientific DataVol. 12(1)
Harbin University (CN), Harbin Engineering University (CN), Jilin University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Innovation and Knowledge Management
2.23
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