Regional collaborations and indigenous innovation capabilities in China: A multivariate method for the analysis of regional innovation systems

S. L. Zhao, Luca Cacciolatti, S. H. Lee, W. Song

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

In this study we analyse the emerging patterns of regional collaboration for innovation projects in China, using official government statistics of 30 Chinese regions. We propose the use of Ordinal Multidimensional Scaling and Cluster analysis as a robust method to study regional innovation systems. Our results show that regional collaborations amongst organisations can be categorised by means of eight dimensions: public versus private organisational mindset; public versus private resources; innovation capacity versus available infrastructures; innovation input (allocated resources) versus innovation output; knowledge production versus knowledge dissemination; and collaborative capacity versus collaboration output. Collaborations which are aimed to generate innovation fell into 4 categories, those related to highly specialised public research institutions, public universities, private firms and governmental intervention. By comparing the representative cases of regions in terms of these four innovation actors, we propose policy measures for improving regional innovation collaboration within China.
Original languageEnglish
Pages (from-to)202-220
JournalTechnological Forecasting and Social Change
Volume94
Early online date30 Oct 2014
DOIs
Publication statusPublished - May 2015

Bibliographical note

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Keywords

  • Multidimensional scaling
  • Collaboration
  • Indigenous innovation capability
  • Regional innovation system
  • Institutions

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