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Exploring the endogenous structure and evolutionary mechanism of the global coal trade network

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  • Liu, Yuxin
  • Li, Yunting
  • Pu, Yue

Abstract

The uneven distribution of global coal supply and demand markets has driven coal trade. Effectively characterizing the global coal trade pattern and exploring its evolutionary mechanisms are important for economic development and international energy security. Therefore, this study adopts complex network methods to construct global coal trade network (GCTN) from 1995 to 2021. Based on exploring the overall, individual, and motif structural characteristics of the network, the temporal exponential random graph model is adopted to explore the impact mechanism of endogenous and exogenous variables on the evolution of the GCTN. The research findings demonstrate that (1) at the overall level, the network size, closeness, accessibility, and reciprocity of global coal trade exhibit an increasing trend; (2) at the motif level, aggregation and bilateral reciprocity are the primary trade patterns that affect the formation and evolution of the GCTN that is different from the steady-state structures of the four common super-families and possesses unique characteristics; (3) at the individual level, the United States and European economies possess a higher degree of diversification in coal trade, while Australia and emerging economies exhibit higher coal export trade volumes. The RCEP economies, represented by Japan and South Korea, possess a higher import share. Additionally, the Netherlands plays a “transit station” role in the network; (4) the formation and evolution of the GCTN are influenced by endogenous mechanisms. Reciprocity, transmission closure, and convergence effects have a significant promoting effect on network construction. Ignoring endogenous mechanisms can lead to significant bias in empirical results.

Suggested Citation

  • Liu, Yuxin & Li, Yunting & Pu, Yue, 2024. "Exploring the endogenous structure and evolutionary mechanism of the global coal trade network," Energy Economics, Elsevier, vol. 136(C).
    • Handle: RePEc:eee:eneeco:v:136:y:2024:i:c:s0140988324004183
    DOI: 10.1016/j.eneco.2024.107710
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    References listed on IDEAS

    as
    1. Xu, Mengqiao & Deng, Wenhui & Zhu, Yifan & LÜ, Linyuan, 2023. "Assessing and improving the structural robustness of global liner shipping system: A motif-based network science approach," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
    2. Xu, Helian & Feng, Lianyue & Wu, Gang & Zhang, Qi, 2021. "Evolution of structural properties and its determinants of global waste paper trade network based on temporal exponential random graph models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    3. João Amador & Sónia Cabral, 2017. "Networks of Value-added Trade," The World Economy, Wiley Blackwell, vol. 40(7), pages 1291-1313, July.
    4. 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).
    5. Freddy Cepeda-López & Fredy Gamboa-Estrada & Carlos León & Hernán Rincón-Castro, 2019. "The evolution of world trade from 1995 to 2014: A network approach," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 28(4), pages 452-485, May.
    6. Zhang, Hongwei & Wang, Ying & Zhu, Xuehong & Guo, Yaoqi, 2020. "The impact of energy trade patterns on CO2 emissions: An emergy and network analysis," Energy Economics, Elsevier, vol. 92(C).
    7. Ouyang, Ruolan & Zhuang, Chengkai & Wang, Tingting & Zhang, Xuan, 2022. "Network analysis of risk transmission among energy futures: An industrial chain perspective," Energy Economics, Elsevier, vol. 107(C).
    8. Gang Wu & Lianyue Feng & Mihaela Peres & Jiali Dan, 2020. "Do self-organization and relational embeddedness influence free trade agreements network formation? Evidence from an exponential random graph model," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 29(8), pages 995-1017, November.
    9. Desmarais, B.A. & Cranmer, S.J., 2012. "Statistical mechanics of networks: Estimation and uncertainty," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1865-1876.
    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. He, Xi-jun & Dong, Yan-bo & Wu, Yu-ying & Jiang, Guo-rui & Zheng, Yao, 2019. "Factors affecting evolution of the interprovincial technology patent trade networks in China based on exponential random graph models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 443-457.
    12. Haftendorn, C. & Kemfert, C. & Holz, F., 2012. "What about coal? Interactions between climate policies and the global steam coal market until 2030," Energy Policy, Elsevier, vol. 48(C), pages 274-283.
    13. Yang, Yu & Poon, Jessie P.H. & Liu, Yi & Bagchi-Sen, Sharmistha, 2015. "Small and flat worlds: A complex network analysis of international trade in crude oil," Energy, Elsevier, vol. 93(P1), pages 534-543.
    14. Yu, Guihai & Xiong, Chao & Xiao, Jianxiong & He, Deyan & Peng, Gang, 2022. "Evolutionary analysis of the global rare earth trade networks," Applied Mathematics and Computation, Elsevier, vol. 430(C).
    15. 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.
    16. Luca De Benedictis & Lucia Tajoli, 2011. "The World Trade Network," The World Economy, Wiley Blackwell, vol. 34(8), pages 1417-1454, August.
    17. Wang, Wenya & Fan, L.W. & Zhou, P., 2022. "Evolution of global fossil fuel trade dependencies," Energy, Elsevier, vol. 238(PC).
    18. Wenli Qiang & Shuwen Niu & Xiang Wang & Cuiling Zhang & Aimin Liu & Shengkui Cheng, 2019. "Evolution of the Global Agricultural Trade Network and Policy Implications for China," Sustainability, MDPI, vol. 12(1), pages 1-16, December.
    19. Wang, Wenya & Fan, Liwei & Li, Zhenfu & Zhou, Peng & Chen, Xue, 2021. "Measuring dynamic competitive relationship and intensity among the global coal importing trade," Applied Energy, Elsevier, vol. 303(C).
    20. Zhong, Weiqiong & An, Haizhong & Shen, Lei & Dai, Tao & Fang, Wei & Gao, Xiangyun & Dong, Di, 2017. "Global pattern of the international fossil fuel trade: The evolution of communities," Energy, Elsevier, vol. 123(C), pages 260-270.
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    Cited by:

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    More about this item

    Keywords

    Coal trade; Complex network; Network motifs; Temporal exponential random graph model;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F49 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Other
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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