Innovation capability, network embeddedness and economic performance: profiling solar power innovators in China

Mahmood H. Shubbak

International Journal of Technological Learning, Innovation and Development, 2018, vol. 10, issue 3/4, 258-294

Abstract: This paper discusses the technological upgrading of China in photovoltaics technology. It explores the patterns of innovation and network embeddedness and their impact on economic performance at the firm level. Identifying the main innovators over 1995-2014 with patent and market share indicators, the landscape of their activities is inspected through two hierarchical cluster analyses in parallel: first, against the quantity, quality and diversity of patents, and second, against global-integration, component-size and position in technological knowledge networks. The resulting clusters are cross-related to understand their interrelations with age, size, turnover and productivity of actors. The multivariate analysis of variance shows a significant relationship between innovation-network concurrency and the age, turnover and productivity. Global-integration in small-world networks is significantly related with economic performance. Quality of innovation shows higher importance than quantity and diversity. While specialisation in high-tech fields has positive impact on turnover, production-oriented firms with low-tech focus have higher productivity.

Keywords: solar photovoltaics; China; patent profiles; network embeddedness patterns; innovation system; cluster analysis; concurrency matrix; economic performance; productivity; technological upgrading; MANOVA; emerging economy. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.inderscience.com/link.php?id=93723 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijtlid:v:10:y:2018:i:3/4:p:258-294

Access Statistics for this article

More articles in International Journal of Technological Learning, Innovation and Development from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().