The dynamics of inter-firm innovation networks: The case of the photovoltaic industry in China. (January 2021)

• Record Type: Journal Article
• Authors: Teng, Tangwei; Cao, Xianzhong; Chen, Hongting
• Is Part Of: Energy strategy reviews. Volume 33(2021)
• Publication Date: 2021-01
• Subjects: Network dynamics -- Proximity -- Photovoltaic industry -- Stochastic actor-oriented model -- Innovation network; Energy policy -- Periodicals; 333.7905
• DOI: 10.1016/j.esr.2020.100593
• Languages: English
• ISSNs: 2211-467X

Abstract

Abstract: The innovation network is the frontier of economic geography, although the drivers and the underlying mechanism of the evolution of this innovation network are not clear. This study employs the Exponential Random Graph Model (ERGM) and Stochastic Actor-Oriented Model (SAOM) to analyse the evolution of the drivers and the formation of the innovation network in China's photovoltaic industry, as a case study. Results show that, organizational proximity plays a direct and important role, and innovative actors tend to cooperate with actors in the same group. However, geographic proximity is not the most important influencing factor but indirectly affects the evolution of the innovation network through other proximity (organizational and cognizant). When a distance threshold of 100 km is used, organizational proximity plays a more important role as the geographic distance increases. Highlights: The innovation network of China's photovoltaic industry is becoming increasingly optimized and the activities of innovation cooperation among innovation actors are becoming increasingly frequent. The spatial distance between the innovation actors in China's photovoltaic industry is expanding, with more and more innovation cooperation in the links of the industry chain. Innovation ability and organizational proximity play key roles in the evolution of China's photovoltaic industry innovation network.