Dynamics of regional knowledge creation and inter-city R&D collaboration in China: evidence from an empirical agent-based simulation model

The objective of this study is to simulate the dynamic relationships between regional knowledge creation and inter-city R&D collaboration in China. We contribute to the scarce literature using empirically driven agent-based simulation for modelling regional knowledge creation. We provide original evidence for China creating a better understanding of the underlying micro-dynamics that shape regional knowledge creation rather than on aggregate levels (countries or larger regions). We demonstrate that collaboration produces higher knowledge gains at the system level, but benefits differ across Chinese cities. Moreover, technology-specific knowledge gains from collaborations depend on place-based factors locally moderating collaboration benefits in specific technologies.

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Publication Details

Journal
The Annals of Regional Science
Published
2025-07-12
DOI
https://doi.org/10.1007/s00168-025-01402-5
Citations
1
Primary Topic
Regional Economics and Spatial Analysis
Type
article
Field-Weighted Citation Impact
3.13

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article

Dynamics of regional knowledge creation and inter-city R&D collaboration in China: evidence from an empirical agent-based simulation model

Martina Neuländtner, Xielin Liu, Xuechen Ding, Thomas Scherngell et al.
1 citations
The Annals of Regional Science
Regional Economics and Spatial Analysis
3.13
article

Dynamics of regional knowledge creation and inter-city R&D collaboration in China: evidence from an empirical agent-based simulation model

Martina Neuländtner, Xielin Liu, Xuechen Ding, Thomas Scherngell, Manfred Paier, Xiaohui Ji
article en
1 citations

Abstract

The objective of this study is to simulate the dynamic relationships between regional knowledge creation and inter-city R&D collaboration in China. We contribute to the scarce literature using empirically driven agent-based simulation for modelling regional knowledge creation. We provide original evidence for China creating a better understanding of the underlying micro-dynamics that shape regional knowledge creation rather than on aggregate levels (countries or larger regions). We demonstrate that collaboration produces higher knowledge gains at the system level, but benefits differ across Chinese cities. Moreover, technology-specific knowledge gains from collaborations depend on place-based factors locally moderating collaboration benefits in specific technologies.

The Annals of Regional ScienceVol. 74(3)
Chinese Academy of Social Sciences (CN), AIT Austrian Institute of Technology GmbH (AT), Beijing Technology and Business University (CN), Capital University of Economics and Business (CN)
National Natural Science Foundation of China, Austrian Science Fund, Austrian Institute of Technology
Openalex Percentile: Top 7%
Regional Economics and Spatial Analysis
3.13
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Dynamics of regional knowledge creation and inter-city R&D collaboration in China: evidence from an empirical agent-based simulation model — Martina Neuländtner, Xielin Liu, et al. · The Annals of Regional Science (2025) | TGRS Research Map | TGRS