Skip to main navigation Skip to search Skip to main content

Who are leading the change? The impact of China's leading PV enterprises: A complex network analysis

  • Peipei Zhang
  • , Mei Sun*
  • , Xiaoling Zhang
  • , Cuixia Gao
  • *Corresponding author for this work

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

    Abstract

    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.
    Original languageEnglish
    Pages (from-to)477-493
    JournalApplied Energy
    Volume207
    Online published16 May 2017
    DOIs
    Publication statusPublished - 1 Dec 2017

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure
    2. SDG 17 - Partnerships for the Goals
      SDG 17 Partnerships for the Goals

    Research Keywords

    • Conduction effect
    • Diffusion effect
    • Inherent influence ability
    • Leading PV enterprises
    • Partial correlation coefficient

    Fingerprint

    Dive into the research topics of 'Who are leading the change? The impact of China's leading PV enterprises: A complex network analysis'. Together they form a unique fingerprint.

    Cite this