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

TitleWho are leading the change? The impact of China's leading PV enterprises: A complex network analysis
Authors
KeywordsConduction effect
Diffusion effect
Inherent influence ability
Leading PV enterprises
Partial correlation coefficient
Issue Date2017
Citation
Applied Energy, 2017, v. 207, p. 477-493 How to Cite?
AbstractIn 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.
Persistent Identifierhttp://hdl.handle.net/10722/333276
ISSN
2023 Impact Factor: 10.1
2023 SCImago Journal Rankings: 2.820
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, Peipei-
dc.contributor.authorSun, Mei-
dc.contributor.authorZhang, Xiaoling-
dc.contributor.authorGao, Cuixia-
dc.date.accessioned2023-10-06T05:18:05Z-
dc.date.available2023-10-06T05:18:05Z-
dc.date.issued2017-
dc.identifier.citationApplied Energy, 2017, v. 207, p. 477-493-
dc.identifier.issn0306-2619-
dc.identifier.urihttp://hdl.handle.net/10722/333276-
dc.description.abstractIn 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.-
dc.languageeng-
dc.relation.ispartofApplied Energy-
dc.subjectConduction effect-
dc.subjectDiffusion effect-
dc.subjectInherent influence ability-
dc.subjectLeading PV enterprises-
dc.subjectPartial correlation coefficient-
dc.titleWho are leading the change? The impact of China's leading PV enterprises: A complex network analysis-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.apenergy.2017.05.082-
dc.identifier.scopuseid_2-s2.0-85020001941-
dc.identifier.volume207-
dc.identifier.spage477-
dc.identifier.epage493-
dc.identifier.isiWOS:000417229300042-

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