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The Impact of Countries’ Roles on the International Photovoltaic Trade Pattern: The Complex Networks Analysis

Author

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  • Qing Guan

    (School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, China)

  • Haizhong An

    (School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land and Resources, Beijing 100083, China
    Open Lab of Talents Evaluation, Ministry of Land and Resources, Beijing 100083, China)

  • Xiaoqing Hao

    (School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, China)

  • Xiaoliang Jia

    (School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, China)

Abstract

The expansion of the international PV trade encourages governments to focus on their trade roles in this market, which has increasing impact on their future development of sustainable energy. Thus, an exploration of top traders and their influence on global PV trade pattern is essential as governments seek to develop strategies to improve their global PV market’s discourse power. This study introduces the complex network theory to examine top traders whose default would lead to the collapse of trade pattern and their impactful ways. Moreover, the potential structural reason for top traders’ influence on trade is explored via link prediction. We find that a group of European countries account for 80% of global importation and are the most influential traders and bridges; a group of Asian countries are among the top exporters with half of the global share; and European countries’ high influence is due to their large number of trade partners instead of their trade volume. Above all, a high number of trade partners is more important than trade volume for countries seeking to be top traders. Finally, we discuss these results given the recent promising development of international PV trade.

Suggested Citation

  • Qing Guan & Haizhong An & Xiaoqing Hao & Xiaoliang Jia, 2016. "The Impact of Countries’ Roles on the International Photovoltaic Trade Pattern: The Complex Networks Analysis," Sustainability, MDPI, vol. 8(4), pages 1-16, March.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:4:p:313-:d:66767
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    References listed on IDEAS

    as
    1. Felix Groba & Jing Cao, 2015. "Chinese Renewable Energy Technology Exports: The Role of Policy, Innovation and Markets," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 60(2), pages 243-283, February.
    2. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2010. "The evolution of the world trade web: a weighted-network analysis," Journal of Evolutionary Economics, Springer, vol. 20(4), pages 479-514, August.
    3. Stefano Schiavo & Javier Reyes & Giorgio Fagiolo, 2010. "International trade and financial integration: a weighted network analysis," Quantitative Finance, Taylor & Francis Journals, vol. 10(4), pages 389-399.
    4. Giorgio Fagiolo & Tiziano Squartini & Diego Garlaschelli, 2013. "Null models of economic networks: the case of the world trade web," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 75-107, April.
    5. repec:hal:spmain:info:hdl:2441/9771 is not listed on IDEAS
    6. Leonardo Ermann & Dima L. Shepelyansky, 2015. "Google matrix analysis of the multiproduct world trade network," Papers 1501.03371, arXiv.org.
    7. Hoppe, K. & Rodgers, G.J., 2015. "A microscopic study of the fitness-dependent topology of the world trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 64-74.
    8. Barigozzi, Matteo & Fagiolo, Giorgio & Mangioni, Giuseppe, 2011. "Identifying the community structure of the international-trade multi-network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2051-2066.
    9. 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.
    10. 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.
    11. Jiankui He & Michael W. Deem, 2010. "Structure and Response in the World Trade Network," Papers 1010.0410, arXiv.org.
    12. Huiru Zhao & Sen Guo, 2015. "External Benefit Evaluation of Renewable Energy Power in China for Sustainability," Sustainability, MDPI, vol. 7(5), pages 1-23, April.
    13. Aaron Clauset & Cristopher Moore & M. E. J. Newman, 2008. "Hierarchical structure and the prediction of missing links in networks," Nature, Nature, vol. 453(7191), pages 98-101, May.
    14. Lü, Linyuan & Zhou, Tao, 2011. "Link prediction in complex networks: A survey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(6), pages 1150-1170.
    15. Tao Zhou & Linyuan Lü & Yi-Cheng Zhang, 2009. "Predicting missing links via local information," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 623-630, October.
    16. 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.
    17. Guan, Qing & An, Haizhong & Gao, Xiangyun & Huang, Shupei & Li, Huajiao, 2016. "Estimating potential trade links in the international crude oil trade: A link prediction approach," Energy, Elsevier, vol. 102(C), pages 406-415.
    18. I. Tzekina & K. Danthi & D. Rockmore, 2008. "Evolution of community structure in the world trade web," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 63(4), pages 541-545, June.
    19. Zhong, Weiqiong & An, Haizhong & Gao, Xiangyun & Sun, Xiaoqi, 2014. "The evolution of communities in the international oil trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 42-52.
    20. Man Yu & Anthony Halog, 2015. "Solar Photovoltaic Development in Australia—A Life Cycle Sustainability Assessment Study," Sustainability, MDPI, vol. 7(2), pages 1-35, January.
    21. 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.
    22. 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.
    23. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2007. "The Evolution of the World Trade Web," LEM Papers Series 2007/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    24. Li, Xiang & Ying Jin, Yu & Chen, Guanrong, 2003. "Complexity and synchronization of the World trade Web," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 328(1), pages 287-296.
    25. Algieri, Bernardina & Aquino, Antonio & Succurro, Marianna, 2011. "Going “green”: trade specialisation dynamics in the solar photovoltaic sector," Energy Policy, Elsevier, vol. 39(11), pages 7275-7283.
    26. Fan, Ying & Ren, Suting & Cai, Hongbo & Cui, Xuefeng, 2014. "The state's role and position in international trade: A complex network perspective," Economic Modelling, Elsevier, vol. 39(C), pages 71-81.
    27. Kim, Kyunam & Kim, Yeonbae, 2015. "Role of policy in innovation and international trade of renewable energy technology: Empirical study of solar PV and wind power technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 717-727.
    28. Fabio Saracco & Riccardo Di Clemente & Andrea Gabrielli & Tiziano Squartini, 2015. "Randomizing bipartite networks: the case of the World Trade Web," Papers 1503.05098, arXiv.org, revised Jun 2015.
    29. Raja Kali & Javier Reyes, 2007. "The architecture of globalization: a network approach to international economic integration," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 38(4), pages 595-620, July.
    30. Ionel L. Alboteanu & Cornelia A. Bulucea & Sonia Degeratu, 2015. "Estimating Solar Irradiation Absorbed by Photovoltaic Panels with Low Concentration Located in Craiova, Romania," Sustainability, MDPI, vol. 7(3), pages 1-18, March.
    31. Garlaschelli, Diego & Loffredo, Maria I., 2005. "Structure and evolution of the world trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 138-144.
    32. Leonardo Ermann & Dima Shepelyansky, 2015. "Google matrix analysis of the multiproduct world trade network," Post-Print hal-01104619, HAL.
    33. Leonardo Ermann & Dima Shepelyansky, 2015. "Google matrix analysis of the multiproduct world trade network," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(4), pages 1-19, April.
    34. Foti, Nicholas J. & Pauls, Scott & Rockmore, Daniel N., 2013. "Stability of the World Trade Web over time – An extinction analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 37(9), pages 1889-1910.
    35. D. Garlaschelli & M. I. Loffredo, 2005. "Structure and Evolution of the World Trade Network," Papers physics/0502066, arXiv.org, revised May 2005.
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