TY - JOUR
T1 - Who are leading the change? The impact of China's leading PV enterprises
T2 - A complex network analysis
AU - Zhang, Peipei
AU - Sun, Mei
AU - Zhang, Xiaoling
AU - Gao, Cuixia
PY - 2017/12/1
Y1 - 2017/12/1
N2 - 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.
AB - 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.
KW - Conduction effect
KW - Diffusion effect
KW - Inherent influence ability
KW - Leading PV enterprises
KW - Partial correlation coefficient
UR - http://www.scopus.com/inward/record.url?scp=85020001941&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85020001941&origin=recordpage
U2 - 10.1016/j.apenergy.2017.05.082
DO - 10.1016/j.apenergy.2017.05.082
M3 - RGC 21 - Publication in refereed journal
SN - 0306-2619
VL - 207
SP - 477
EP - 493
JO - Applied Energy
JF - Applied Energy
ER -
