Policy-induced cooperative knowledge network, university-industry collaboration and firm innovation: Evidence from the Greater Bay Area

Zhao Yang; Yongquan Yang; Jian Ma; Angela Lu; Xuanhua Xu

doi:10.1016/j.techfore.2023.123143

Policy-induced cooperative knowledge network, university-industry collaboration and firm innovation : Evidence from the Greater Bay Area

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Overview

2 Scopus Citations

Scopus Metrics

View graph of relations

Author(s)

Related Research Unit(s)

Department of Information Systems

Detail(s)

Original language	English
Article number	123143
Journal / Publication	Technological Forecasting and Social Change
Volume	200
Online published	3 Jan 2024
Publication status	Published - Mar 2024

Link(s)

DOI	DOI https://doi.org/10.1016/j.techfore.2023.123143 Final Published version
	Check@CityULib
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-85181746889&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(c0e318c7-8893-4101-aaa9-67e2e6bfc935).html

Abstract

The major goal of this paper is to analyze the interactive impact of China’s high-tech policies on university-industry (UI) collaboration and firm innovation by a network-based approach. Introducing high-tech policy to traditional innovative networks, we constructed a policy-induced UI collaboration network and applied social network analysis (SNA) method to empirically study the role of high-tech policies and the underlying mechanisms in firm innovation in the Greater Bay Area (GBA). This policy-induced innovative network consists of over 2000 innovative entities in GBA from 2012 to 2021, which reflects dynamic characteristics of innovative activities in this region. Based on this network, we find that high-tech policies play a positive and key role in regional innovation and we also clarify some potential mechanisms and routes in the effect of policies on UI collaboration and firm innovation. This paper advances our understanding of innovative networks and policy-induced regional innovation, which has implications for innovation policymaking in world-class innovative centers. © 2023 Elsevier Inc. All rights reserved.