Science and technology parks (STPs) are established to promote the firm innovation performance via agglomeration economy and government support in China. On‐site qualified firms obtain government R&D funding as a type of government support, and they are offered differential innovation service caused by the differential capabilities of sub‐parks which scatter throughout a single city. It is debatable whether those government supports at firm and sub‐park levels can promote firm innovation capabilities. This study takes Zhangjiang National Innovation Demonstration Zone, Shanghai as an example. It applies a Tobit regression model to analyse the databases of Zhangjiang Annual Sampling Survey of Firms 2015 and Zhangjiang Development Report 2015. We find out at the firm level, government R&D funding has a significant and positive influence on firms' innovation, but government R&D funding generates a crowing‐out effect the innovation performance of on‐site firms with more R&D investment themselves. At the sub‐park level, innovation service agencies of sub‐parks do not exert an important role in influencing firms' innovation, and they even have negative moderating effects on the relationship between firm R&D investment and firm innovation performance. It reflects the mismatch between innovation service of STPs and firms' needs in China.

Government support and firm innovation performance in Chinese science and technology parks: The perspective of firm and sub‐park heterogeneity

Cluster and co-located cluster effects: An empirical study of six Chinese city regions

Having reviewed 1259 papers on cluster theory, we find that current cluster studies primarily discussed cluster phenomena from either a microlevel or mesolevel. We argue that studying relations among clusters would increase our understanding of clusters, and such a research topic is worth becoming a new research orientation for cluster theory.

A literature review of cluster theory: are relations among clusters important?

Conceptualizing Multiple Clusters in Mega-City Regions: The Case of the Biomedical Industry in Beijing

Identifying configurations of multiple co‐located clusters by analyzing within‐ and between‐cluster linkages

Relations among clusters in six Chinese city regions Ren Lu BI Norwegian Business School

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Relations among clusters in six Chinese city regions Ren Lu BI Norwegian Business School