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Global energy investment structure from the energy stock market perspective based on a Heterogeneous Complex Network Model

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  • Li, Huajiao
  • An, Haizhong
  • Fang, Wei
  • Wang, Yue
  • Zhong, Weiqiong
  • Yan, Lili

Abstract

Energy is not only an important international commodity but is also an important financial product. Many studies address the global energy structure by considering energy as commodity, but few study it based on energy’s financial attributes. In this paper, we analyzed the global energy investment structure based on the shareholding relationships between listed energy companies and their shareholders by taking the frontier approach to complex network theory and treating these relationships as a heterogeneous complex network from a global angle. We constructed a primitive investment network of listed energy companies and their shareholders (two sets of actors). Then, based on the two-mode affiliation relationships between two sets of actors and countries, we constructed a derivative investment network of 112 countries (and regions). By calculating different topological features, we quantitatively analyzed the national diversity of outward and inward energy investment, the energy investment preference, the strength of the bilateral energy investment relationship between countries (and regions) and the most powerful group of energy investing countries based on the shareholding relationships of global listed energy companies. It is found that the vast majority of outward and inward investment relationships are still in the hands of a few countries: traditional developed countries, emerging countries, and a few particular island countries (and regions) that are tax havens. This study is helpful for analyzing the roles and investment relationships of nations as well as the global energy investment structure taking the perspective of the energy stock market.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:194:y:2017:i:c:p:648-657
    DOI: 10.1016/j.apenergy.2016.05.062
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    as
    1. Liliana Bunescu, 2008. "What Tax Havens Are?," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 3(3), pages 10-13, October.
    2. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2014. "A dynamic analysis on global natural gas trade network," Applied Energy, Elsevier, vol. 132(C), pages 23-33.
    3. Li, Huajiao & An, Haizhong & Gao, Xiangyun & Huang, Jiachen & Xu, Qun, 2014. "On the topological properties of the cross-shareholding networks of listed companies in China: Taking shareholders’ cross-shareholding relationships into account," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 80-88.
    4. Li, Huajiao & An, Haizhong & Wang, Yue & Huang, Jiachen & Gao, Xiangyun, 2016. "Evolutionary features of academic articles co-keyword network and keywords co-occurrence network: Based on two-mode affiliation network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 657-669.
    5. Andrew N. Kleit, 2001. "Are Regional Oil Markets Growing Closer Together?: An Arbitrage Cost Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-15.
    6. 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.
    7. Hao, Xiaoqing & An, Haizhong & Qi, Hai & Gao, Xiangyun, 2016. "Evolution of the exergy flow network embodied in the global fossil energy trade: Based on complex network," Applied Energy, Elsevier, vol. 162(C), pages 1515-1522.
    8. Yang, Jin & Chen, Bin, 2014. "Global warming impact assessment of a crop residue gasification project—A dynamic LCA perspective," Applied Energy, Elsevier, vol. 122(C), pages 269-279.
    9. Guo, Z.C. & Fu, Z.X., 2010. "Current situation of energy consumption and measures taken for energy saving in the iron and steel industry in China," Energy, Elsevier, vol. 35(11), pages 4356-4360.
    10. Li, Huajiao & Fang, Wei & An, Haizhong & Yan, LiLi, 2014. "The shareholding similarity of the shareholders of the worldwide listed energy companies based on a two-mode primitive network and a one-mode derivative holding-based network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 525-532.
    11. Cunado, Juncal & Perez de Gracia, Fernando, 2014. "Oil price shocks and stock market returns: Evidence for some European countries," Energy Economics, Elsevier, vol. 42(C), pages 365-377.
    12. An, Haizhong & Zhong, Weiqiong & Chen, Yurong & Li, Huajiao & Gao, Xiangyun, 2014. "Features and evolution of international crude oil trade relationships: A trading-based network analysis," Energy, Elsevier, vol. 74(C), pages 254-259.
    13. Norman Mohd Saleh & Mara Ridhuan Che Abdul Rahman & Mohamat Sabri Hassan, 2009. "Ownership Structure and Intellectual Capital Performance in Malaysia," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 5(1), pages 1-29.
    14. Appels, Lise & Lauwers, Joost & Degrève, Jan & Helsen, Lieve & Lievens, Bart & Willems, Kris & Van Impe, Jan & Dewil, Raf, 2011. "Anaerobic digestion in global bio-energy production: Potential and research challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4295-4301.
    15. An, Haizhong & Gao, Xiangyun & Fang, Wei & Ding, Yinghui & Zhong, Weiqiong, 2014. "Research on patterns in the fluctuation of the co-movement between crude oil futures and spot prices: A complex network approach," Applied Energy, Elsevier, vol. 136(C), pages 1067-1075.
    16. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2014. "Competition, transmission and pattern evolution: A network analysis of global oil trade," Energy Policy, Elsevier, vol. 73(C), pages 312-322.
    17. Takeshita, Takayuki, 2011. "Competitiveness, role, and impact of microalgal biodiesel in the global energy future," Applied Energy, Elsevier, vol. 88(10), pages 3481-3491.
    18. Balat, Mustafa & Balat, Havva, 2009. "Recent trends in global production and utilization of bio-ethanol fuel," Applied Energy, Elsevier, vol. 86(11), pages 2273-2282, November.
    19. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2013. "An evaluation framework for oil import security based on the supply chain with a case study focused on China," Energy Economics, Elsevier, vol. 38(C), pages 87-95.
    20. Saguan, Marcelo & Meeus, Leonardo, 2014. "Impact of the regulatory framework for transmission investments on the cost of renewable energy in the EU," Energy Economics, Elsevier, vol. 43(C), pages 185-194.
    21. Ferreira Neto, Amir B. & Perobelli, Fernando S. & Bastos, Suzana Q.A., 2014. "Comparing energy use structures: An input–output decomposition analysis of large economies," Energy Economics, Elsevier, vol. 43(C), pages 102-113.
    22. Chen, Shaoqing & Chen, Bin, 2015. "Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis," Applied Energy, Elsevier, vol. 138(C), pages 99-107.
    23. Dhammika Dharmapala, 2008. "What problems and opportunities are created by tax havens?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 24(4), pages 661-679, winter.
    24. Sun, Xiaolei & Li, Jianping & Wang, Yongfeng & Clark, Woodrow W., 2014. "China's Sovereign Wealth Fund Investments in overseas energy: The energy security perspective," Energy Policy, Elsevier, vol. 65(C), pages 654-661.
    25. Li, Huajiao & An, Haizhong & Huang, Jiachen & Huang, Xuan & Mou, Songtao & Shi, Yanli, 2016. "The evolutionary stability of shareholders’ co-holding behavior for China’s listed energy companies based on associated maximal connected sub-graphs of derivative holding-based networks," Applied Energy, Elsevier, vol. 162(C), pages 1601-1607.
    26. Montes, Germán Martínez & Prados Martín, Enrique & Ordóñez García, Javier, 2007. "The current situation of wind energy in Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(3), pages 467-481, April.
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