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

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  • Zhang, Peipei
  • Sun, Mei
  • Zhang, Xiaoling
  • Gao, Cuixia

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.

Suggested Citation

  • Zhang, Peipei & Sun, Mei & Zhang, Xiaoling & Gao, Cuixia, 2017. "Who are leading the change? The impact of China’s leading PV enterprises: A complex network analysis," Applied Energy, Elsevier, vol. 207(C), pages 477-493.
    • Handle: RePEc:eee:appene:v:207:y:2017:i:c:p:477-493
    DOI: 10.1016/j.apenergy.2017.05.082
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    as
    1. Yuan, Chaoqing & Liu, Sifeng & Yang, Yingjie & Chen, Ding & Fang, Zhigeng & Shui, Lulu, 2014. "An analysis on investment policy effect of China’s photovoltaic industry based on feedback model," Applied Energy, Elsevier, vol. 135(C), pages 423-428.
    2. Huang, Wei-Qiang & Zhuang, Xin-Tian & Yao, Shuang, 2009. "A network analysis of the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(14), pages 2956-2964.
    3. Sun, Honghang & Zhi, Qiang & Wang, Yibo & Yao, Qiang & Su, Jun, 2014. "China’s solar photovoltaic industry development: The status quo, problems and approaches," Applied Energy, Elsevier, vol. 118(C), pages 221-230.
    4. Gao, Cuixia & Sun, Mei & Shen, Bo, 2015. "Features and evolution of international fossil energy trade relationships: A weighted multilayer network analysis," Applied Energy, Elsevier, vol. 156(C), pages 542-554.
    5. Li, Huajiao & An, Haizhong & Liu, Xueyong & Gao, Xiangyun & Fang, Wei & An, Feng, 2016. "Price fluctuation in the energy stock market based on fluctuation and co-fluctuation matrix transmission networks," Energy, Elsevier, vol. 117(P1), pages 73-83.
    6. Huang, Xuan & An, Haizhong & Gao, Xiangyun & Hao, Xiaoqing & Liu, Pengpeng, 2015. "Multiresolution transmission of the correlation modes between bivariate time series based on complex network theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 493-506.
    7. Heiberger, Raphael H., 2014. "Stock network stability in times of crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 376-381.
    8. Zhi, Qiang & Sun, Honghang & Li, Yanxi & Xu, Yurui & Su, Jun, 2014. "China’s solar photovoltaic policy: An analysis based on policy instruments," Applied Energy, Elsevier, vol. 129(C), pages 308-319.
    9. Giorgio Fagiolo, 2010. "The international-trade network: gravity equations and topological properties," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(1), pages 1-25, June.
    10. Sunil Kumar & Nivedita Deo, 2012. "Correlation, Network and Multifractal Analysis of Global Financial Indices," Papers 1202.0409, arXiv.org.
    11. Jiang, Zhi-Qiang & Zhou, Wei-Xing, 2010. "Complex stock trading network among investors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4929-4941.
    12. Jung, Sean S. & Chang, Woojin, 2016. "Clustering stocks using partial correlation coefficients," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 410-420.
    13. de La Tour, Arnaud & Glachant, Matthieu & Ménière, Yann, 2013. "Predicting the costs of photovoltaic solar modules in 2020 using experience curve models," Energy, Elsevier, vol. 62(C), pages 341-348.
    14. Liu, Chung-Shu & Hsiao, Chih-Tung & Chang, Dong-Shang & Hsiao, Cheng-Hsing, 2016. "How the European Union’s and the United States’ anti-dumping duties affect Taiwan's PV industry: A policy simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 296-305.
    15. Dusonchet, Luigi & Telaretti, Enrico, 2010. "Economic analysis of different supporting policies for the production of electrical energy by solar photovoltaics in western European Union countries," Energy Policy, Elsevier, vol. 38(7), pages 3297-3308, July.
    16. Li, Huajiao & An, Haizhong & Fang, Wei & Wang, Yue & Zhong, Weiqiong & Yan, Lili, 2017. "Global energy investment structure from the energy stock market perspective based on a Heterogeneous Complex Network Model," Applied Energy, Elsevier, vol. 194(C), pages 648-657.
    17. Zhao, Xin-gang & Wan, Guan & Yang, Yahui, 2015. "The turning point of solar photovoltaic industry in China: Will it come?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 178-188.
    18. Castagneto-Gissey, G. & Chavez, M. & De Vico Fallani, F., 2014. "Dynamic Granger-causal networks of electricity spot prices: A novel approach to market integration," Energy Economics, Elsevier, vol. 44(C), pages 422-432.
    19. Giorgio Castagneto-Gissey & Mario Chavez & Fabrizio de Vico Fallani, 2014. "Dynamic Granger-causal networks of electricity spot prices: A novel approach to market integration," Post-Print hal-01023418, HAL.
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