Who are leading the change? The impact of China’s leading PV enterprises: A complex network analysis
Xiaoling Zhang and
Applied Energy, 2017, vol. 207, issue C, 477-493
In this paper, China’s PV market is studied from a new perspective of complex network theory. An influence index threshold network (IITN) model is been built by using partial correlation coefficients. Complex network theory is then used to provide a detailed description of the interactions of enterprises, their inherent influencing ability to conduct and control the interactions of the enterprise in the PV industry. This paper also analyses the diffusion effect of the inherent influencing ability and the conduction effect of the relationship of the enterprise in the PV industry. In addition, the leading enterprises in the industrial chain are been identified using their degree, degree centrality, betweenness and net profit ranking. The results show that the average betweenness of the top enterprises is contrary to the evolution of new installed PV capacity globally. Finally, the reasons for identifying leading enterprises are stated in detail and policy suggestions are made to promote the sustainable development of the World’s PV market.
Keywords: Partial correlation coefficient; Leading PV enterprises; Inherent influence ability; Diffusion effect; Conduction effect (search for similar items in EconPapers)
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