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Evolution Features and Robustness of Global Photovoltaic Trade Network

Author

Listed:
  • Jianxiong Xiao

    (Department of Information Engineering, Guiyang Institute of Information Science and Technology, Guiyang 550025, China)

  • Chao Xiong

    (School of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550025, China)

  • Wei Deng

    (School of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550025, China)

  • Guihai Yu

    (School of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550025, China)

Abstract

Photovoltaic industry trade has become a global trade activity, and a wide range of photovoltaic trade relations have been formed between countries. In order to further strengthen and balance trade relations, this paper analyzes global photovoltaic (PV) trade from the perspective of complex networks. We employ network indicators and the cascading process of risk propagation to analyze the evolution features and the vulnerability of the PV trade network. Firstly, we establish the global PV trade networks from 2000 to 2021 based on the PV trade flow between countries. We then explore evolution features and analyze the influencing factors of the trade network structure. Finally, we simulate the cascading process of risk propagation on the trade network based on an improved bootstrap percolation model. The evolution features reveal the following three results: (1) the scale of global PV trade continues to grow, and the participation of some countries has increased significantly; (2) the global PV trade network has small-world characteristics, and the related products have high circulation efficiency; and (3) the global PV trade network has a core-periphery structure, while a few countries drive most of the trade. China, Germany, and the U.S. are the top PV traders. Some Asian countries, such as Vietnam, are gradually increasing their share of the market. The QAP regression analysis shows that the gaps in GDP and electricity access rate are the biggest facilitating and hindering factors in the global PV trade, respectively. The simulation results show that the global PV trade network is vulnerable to targeted risk and is robust to randomness risk.

Suggested Citation

  • Jianxiong Xiao & Chao Xiong & Wei Deng & Guihai Yu, 2022. "Evolution Features and Robustness of Global Photovoltaic Trade Network," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14220-:d:959452
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    References listed on IDEAS

    as
    1. Kuik, Onno & Branger, Frédéric & Quirion, Philippe, 2019. "Competitive advantage in the renewable energy industry: Evidence from a gravity model," Renewable Energy, Elsevier, vol. 131(C), pages 472-481.
    2. Guan, Qing & An, Haizhong & Wang, Kaiming & Duan, Yueran & Zhang, Yixiong, 2020. "Functional trade patterns and their contributions to international photovoltaic trade revealed by network motifs," Energy, Elsevier, vol. 195(C).
    3. Fu, Xin & Yang, Yu & Dong, Wen & Wang, Changjian & Liu, Yi, 2017. "Spatial structure, inequality and trading community of renewable energy networks: A comparative study of solar and hydro energy product trades," Energy Policy, Elsevier, vol. 106(C), pages 22-31.
    4. Chen, Zhihua & An, Haizhong & An, Feng & Guan, Qing & Hao, Xiaoqing, 2018. "Structural risk evaluation of global gas trade by a network-based dynamics simulation model," Energy, Elsevier, vol. 159(C), pages 457-471.
    5. Hao, Xiaoqing & An, Haizhong, 2022. "Comparative study on transmission mechanism of supply shortage risk in the international trade of iron ore, pig iron and crude steel," Resources Policy, Elsevier, vol. 79(C).
    6. Shem, Caitlin & Simsek, Yeliz & Hutfilter, Ursula Fuentes & Urmee, Tania, 2019. "Potentials and opportunities for low carbon energy transition in Vietnam: A policy analysis," Energy Policy, Elsevier, vol. 134(C).
    7. 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.
    8. Guan, Qing & An, Haizhong, 2017. "The exploration on the trade preferences of cooperation partners in four energy commodities’ international trade: Crude oil, coal, natural gas and photovoltaic," Applied Energy, Elsevier, vol. 203(C), pages 154-163.
    9. Grünewald, Philipp & Cockerill, Tim & Contestabile, Marcello & Pearson, Peter, 2011. "The role of large scale storage in a GB low carbon energy future: Issues and policy challenges," Energy Policy, Elsevier, vol. 39(9), pages 4807-4815, September.
    10. 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.
    11. Baccini, Leonardo & Kim, Soo Yeon, 2012. "Preventing protectionism: international institutions and trade policy," LSE Research Online Documents on Economics 45573, London School of Economics and Political Science, LSE Library.
    12. Leonardo Baccini & Soo Kim, 2012. "Preventing protectionism: International institutions and trade policy," The Review of International Organizations, Springer, vol. 7(4), pages 369-398, December.
    13. Wang, Chao & Huang, Xia & Hu, Xiaoqian & Zhao, Longfeng & Liu, Chao & Ghadimi, Pezhman, 2021. "Trade characteristics, competition patterns and COVID-19 related shock propagation in the global solar photovoltaic cell trade," Applied Energy, Elsevier, vol. 290(C).
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