首页|Drivers for Inter-city Innovation Networks Across Chinese Cities:Mod-elling Physical Versus Intangible Effects

Drivers for Inter-city Innovation Networks Across Chinese Cities:Mod-elling Physical Versus Intangible Effects

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Cross-region innovation is widely recognized as an important source of the long-term regional innovation capacity.In the re-cent past,a growing number of studies has investigated the network structure and mechanisms of cross-region innovation collaboration in various contexts.However,existing research mainly focuses on physical effects,such as geographical distance and high-speed rail-way connections.These studies ignore the intangible drivers in a changing environment,the more digitalized economy and the increas-ingly solidified innovation network structure.Thus,the focus of this study is on estimating determinants of innovation networks,espe-cially on intangible drivers,which have been largely neglected so far.Using city-level data of Chinese patents(excluding Hong Kong,Macao,and Taiwan Province of China),we trace innovation networks across Chinese cities over a long period of time.By integrating a measure on Information and Communications Technology(ICT)development gap and network structural effects into the general prox-imity framework,this paper explores the changing mechanisms of Chinese innovation networks from a new perspective.The results show that the structure of cross-region innovation networks has changed in China.As mechanisms behind this development,the results confirm the increasingly important role of intangible drivers in Chinese inter-city innovation collaboration when controlling for effects of physical proximity,such as geographical distance.Since digitalization and coordinated development are the mainstream trends in China and other developing countries,these countries'inter-city innovation collaboration patterns will witness dramatic changes under the influence of intangible drivers.

inter-city innovation networkco-patentsinformation and communications technology developmentnetwork structural ef-fectspatial interaction modelChina

GAO Yujie、SCHERNGELL Thomas、NEUL?NDTNER Martina

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School of Applied Economics,Renmin University of China,Beijing 100872,China

Center for Innovation Systems & Policy,Aus-trian Institute of Technology,Vienna 1210,Austria

China Scholarship CouncilOpen access funding provided by AIT Austrian Institute of Technology GmbH

2024

10.1007/s11769-024-1426-9

中国地理科学(英文版)
中国科学院长春地理研究所

中国地理科学(英文版)

CSTPCD
影响因子：0.754
ISSN：1002-0063
年,卷(期)：2024.34(4)
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