Dynamics of regional knowledge creation and inter-city R&D collaboration in China: evidence from an empirical agent-based simulation model
Martina Neuländtner (),
Thomas Scherngell,
Xielin Liu,
Xiaohui Ji,
Xuechen Ding and
Manfred Paier
Additional contact information
Martina Neuländtner: AIT Austrian Institute of Technology GmbH
Thomas Scherngell: AIT Austrian Institute of Technology GmbH
Xielin Liu: University of Chinese Academy of Sciences
Xiaohui Ji: University of Chinese Academy of Sciences
Xuechen Ding: Beijing Technology and Business University
Manfred Paier: AIT Austrian Institute of Technology GmbH
The Annals of Regional Science, 2025, vol. 74, issue 3, No 10, 45 pages
Abstract:
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.
JEL-codes: C63 O31 R11 R58 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s00168-025-01402-5
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