IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i5p1184-d1349707.html
   My bibliography  Save this article

Examining the Coopetition Relationships in Renewable Energy Trade among BRI Countries: Complexity, Stability, and Evolution

Author

Listed:
  • Yufei Xu

    (School of Mathematical Sciences, Jiangsu University, Zhenjiang 212013, China
    Institute of Carbon Neutrality Development, Jiangsu University, Zhenjiang 212013, China)

  • Zhangyi Ji

    (School of Mathematical Sciences, Jiangsu University, Zhenjiang 212013, China)

  • Chenming Jiang

    (School of Mathematical Sciences, Jiangsu University, Zhenjiang 212013, China)

  • Wei Xu

    (School of Mathematical Sciences, Jiangsu University, Zhenjiang 212013, China
    Institute of Carbon Neutrality Development, Jiangsu University, Zhenjiang 212013, China)

  • Cuixia Gao

    (School of Mathematical Sciences, Jiangsu University, Zhenjiang 212013, China
    Institute of Carbon Neutrality Development, Jiangsu University, Zhenjiang 212013, China
    School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

The Belt and Road Initiative (BRI) has significantly transformed the traditional energy market and reshaped international cooperation and conflict dynamics through its expanding trade in renewable energy resources. This study focuses on examining the complex and evolving nature of coopetition relationships in the renewable energy trade among BRI countries from 2013 to 2020. Understanding the interplay between cooperation and competition in this sector is crucial for comprehending the dynamics and stability of these trade relationships. Using a signed network approach, the findings of this study reveal that the countries predominantly exhibit a cooperative relationship. However, as time progresses, a notable pattern emerges, characterized by the coexistence of “competitive cooperation” and “cooperative competition”. In addition, coopetition group clustering is strongly influenced by geographical location. China, as a key player in the BRI, demonstrates a coopetition group characterized by a high inflow and low outflow pattern. Furthermore, the implementation of the BRI has greatly improved the overall stability of trade along the route. However, the coexistence of competition and cooperation among nations has increased the uncertainty of trade relations, thereby exerting a certain level of influence on their stability. Based on these findings, this study proposes policy recommendations to strength renewable energy trade relationships along the BRI route.

Suggested Citation

  • Yufei Xu & Zhangyi Ji & Chenming Jiang & Wei Xu & Cuixia Gao, 2024. "Examining the Coopetition Relationships in Renewable Energy Trade among BRI Countries: Complexity, Stability, and Evolution," Energies, MDPI, vol. 17(5), pages 1-16, March.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:5:p:1184-:d:1349707
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/5/1184/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/5/1184/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Viet HOANG, 2018. "Assessing the agricultural trade complementarity of the Association of Southeast Asian Nations countries," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(10), pages 464-475.
    2. Chen, Jinyu & Luo, Qian & Sun, Xin & Zhang, Zitao & Dong, Xuesong, 2023. "The impact of renewable energy consumption on lithium trade patterns: An industrial chain perspective," Resources Policy, Elsevier, vol. 85(PA).
    3. 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.
    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. Finger, J M & Kreinin, M E, 1979. "A Measure of 'Export Similarity' and Its Possible Uses," Economic Journal, Royal Economic Society, vol. 89(356), pages 905-912, December.
    6. Gao, Cuixia & Su, Bin & Sun, Mei & Zhang, Xiaoling & Zhang, Zhonghua, 2018. "Interprovincial transfer of embodied primary energy in China: A complex network approach," Applied Energy, Elsevier, vol. 215(C), pages 792-807.
    7. repec:aud:audfin:v:20:y:2018:i:49:p:788 is not listed on IDEAS
    8. Xiaosong Zheng & Lijun Jia & Jiawen Bao & Jiao Chen, 2018. "A Study of Trade Complementarity between China and the Baltic States and its Development Strategies," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 20(49), pages 788-788, August.
    9. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gao, Cuixia & Tao, Simin & Su, Bin & Mensah, Isaac Adjei & Sun, Mei, 2023. "Exploring renewable energy trade coopetition relationships: Evidence from belt and road countries, 1996-2018," Renewable Energy, Elsevier, vol. 202(C), pages 196-209.
    2. Li, Y.L. & Chen, B. & Chen, G.Q., 2020. "Carbon network embodied in international trade: Global structural evolution and its policy implications," Energy Policy, Elsevier, vol. 139(C).
    3. Gao, Cuixia & Tao, Simin & He, Yuyang & Su, Bin & Sun, Mei & Mensah, Isaac Adjei, 2021. "Effect of population migration on spatial carbon emission transfers in China," Energy Policy, Elsevier, vol. 156(C).
    4. López, Luis Antonio & Arce, Guadalupe & Jiang, Xuemei, 2020. "Mapping China's flows of emissions in the world's carbon footprint: A network approach of production layers," Energy Economics, Elsevier, vol. 87(C).
    5. Li, Fangye & Liu, Weiwei & Bi, Kexin, 2021. "Exploring and visualizing spatial-temporal evolution of patent collaboration networks: A case of China's intelligent manufacturing equipment industry," Technology in Society, Elsevier, vol. 64(C).
    6. Doukoure Charle Fe, 2021. "Trade flows between the West African Economic and Monetary Union's members so little: does exports structure matter ?," Economics Bulletin, AccessEcon, vol. 41(2), pages 816-833.
    7. Wang, Wenya & Li, Zhenfu & Cheng, Xin, 2019. "Evolution of the global coal trade network: A complex network analysis," Resources Policy, Elsevier, vol. 62(C), pages 496-506.
    8. Xu, Hai-Chuan & Wang, Zhi-Yuan & Jawadi, Fredj & Zhou, Wei-Xing, 2023. "Reconstruction of international energy trade networks with given marginal data: A comparative analysis," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    9. Noland, Marcus, 1997. "Has Asian export performance been unique?," Journal of International Economics, Elsevier, vol. 43(1-2), pages 79-101, August.
    10. Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(C).
    11. Kuroiwa, Ikuo, 2014. "Value added trade and structure of high-technology exports in China," IDE Discussion Papers 449, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    12. Zelal Kotan & Serdar Sayan, 2001. "A Comparison Of The Price Competitiveness Of Turkish And South East Asian Exports In The European Union Market In The 1990s," Discussion Papers 0102, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    13. Bahar, Dany & Hausmann, Ricardo & Hidalgo, Cesar A., 2014. "Neighbors and the evolution of the comparative advantage of nations: Evidence of international knowledge diffusion?," Journal of International Economics, Elsevier, vol. 92(1), pages 111-123.
    14. Tang, Miaohan & Hong, Jingke & Liu, Guiwen & Shen, Geoffrey Qiping, 2019. "Exploring energy flows embodied in China's economy from the regional and sectoral perspectives via combination of multi-regional input–output analysis and a complex network approach," Energy, Elsevier, vol. 170(C), pages 1191-1201.
    15. Evžen Kočenda & Karen Poghosyan, 2018. "Export Sophistication: A Dynamic Panel Data Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(12), pages 2799-2814, September.
    16. Wani, Nassir Ul Haq, 2019. "Latency and Economic Concert of India’s Trade with Russia: An Empirical Investigation," MPRA Paper 104616, University Library of Munich, Germany, revised 19 Nov 2020.
    17. Gómez-Limón, José A. & Gutiérrez-Martín, Carlos & Riesgo, Laura, 2016. "Modeling at farm level: Positive Multi-Attribute Utility Programming," Omega, Elsevier, vol. 65(C), pages 17-27.
    18. Rui Liu & Xiaohua Tang & Cuiming Zhao & Zifan Shen & Ru Li & Jiangang Yu, 2024. "Research on the International Competitiveness and Sustainable Trade Development of the Key Equipment and Components of China’s High-Speed Rail," Sustainability, MDPI, vol. 16(16), pages 1-17, August.
    19. Fock, Achim & von Ledebur, Oliver, 1998. "Struktur und Potentiale des Agraraußenhandels Mittel- und Osteuropas," IAMO Discussion Papers 14, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    20. Kitamura, Toshihiko & Managi, Shunsuke, 2017. "Driving force and resistance: Network feature in oil trade," Applied Energy, Elsevier, vol. 208(C), pages 361-375.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:5:p:1184-:d:1349707. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.