IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i19p10530-d641101.html
   My bibliography  Save this article

Energy Network Embodied in Trade along the Belt and Road: Spatiotemporal Evolution and Influencing Factors

Author

Listed:
  • Yue Fu

    (Economics School, Zhongnan University of Economics and Law, Wuhan 430073, China
    These authors contributed equally to this paper.)

  • Long Xue

    (Economics School, Zhongnan University of Economics and Law, Wuhan 430073, China
    These authors contributed equally to this paper.)

  • Yixin Yan

    (Economics School, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Yao Pan

    (Economics School, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Xiaofang Wu

    (Economics School, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Ying Shao

    (Economics School, Zhongnan University of Economics and Law, Wuhan 430073, China)

Abstract

As an important part of trade in the Belt and Road Initiative (BRI) area, significant research attention has been devoted to direct energy transfer, whereas studies on energy embodied in non-energy products have largely been neglected. To present an overview of energy trade for the BRI members, this study combined multi-regional input-output (MRIO) analysis with complex network analysis to model energy use flows within the BRI’s intermediate and final trade network during 2000–2015. Results showed that intermediate energy trade volume is about 7.29-fold larger than that of final trade. Russia and Mainland China were found to be the main net exporter and net importer in intermediate energy trade, respectively, but in final energy trade their roles are reversed. In intermediate energy trade, resource exploitation and heavy industry are the leading intermediate exporter and importer respectively, whereas household consumption is the largest importer (accounting for about three-fifths of the total) in final energy trade. Based on the complex network analysis, the BRI countries were found to trade widely in the final network while cooperating deeply in the intermediate network, with obvious small-world features. Mainland China and Russia were identified as key economies in both intermediate and final trade networks. In addition, quadratic assignment procedure (QAP) analysis was adopted to explore the determinants of the BRI energy trade from 2000 to 2015. It was found that geographic distance, land adjacency, and culture and language have a consistently significant impact on intermediate trade. Closer geographic distance, being adjacent to land, a higher level of economic development, and a larger size of population can promote final trade. This study aimed to supplement existing studies on direct energy trade and provides implications for understanding the sustainable energy development in the BRI area.

Suggested Citation

  • Yue Fu & Long Xue & Yixin Yan & Yao Pan & Xiaofang Wu & Ying Shao, 2021. "Energy Network Embodied in Trade along the Belt and Road: Spatiotemporal Evolution and Influencing Factors," Sustainability, MDPI, vol. 13(19), pages 1-29, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10530-:d:641101
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/19/10530/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/19/10530/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thomas Chaney, 2014. "The Network Structure of International Trade," American Economic Review, American Economic Association, vol. 104(11), pages 3600-3634, November.
    2. Robert Koopman & Zhi Wang & Shang-Jin Wei, 2014. "Tracing Value-Added and Double Counting in Gross Exports," American Economic Review, American Economic Association, vol. 104(2), pages 459-494, February.
    3. Usubiaga-Liaño, Arkaitz & Arto, Iñaki & Acosta-Fernández, José, 2021. "Double accounting in energy footprint and related assessments: How common is it and what are the consequences?," Energy, Elsevier, vol. 222(C).
    4. Guo, Shan & Li, Yilin & He, Ping & Chen, Haosong & Meng, Jing, 2021. "Embodied energy use of China's megacities: A comparative study of Beijing and Shanghai," Energy Policy, Elsevier, vol. 155(C).
    5. Zhao, Yuhuan & Liu, Ya & Qiao, Xiaoyong & Wang, Song & Zhang, Zhonghua & Zhang, Yongfeng & Li, Hao, 2018. "Tracing value added in gross exports of China: Comparison with the USA, Japan, Korea, and India based on generalized LMDI," China Economic Review, Elsevier, vol. 49(C), pages 24-44.
    6. Wu, Gang & Pu, Yue & Shu, Tianran, 2021. "Features and evolution of global energy trade network based on domestic value-added decomposition of export," Energy, Elsevier, vol. 228(C).
    7. Joyeux, Roselyne & Ripple, Ronald D., 2007. "Household energy consumption versus income and relative standard of living: A panel approach," Energy Policy, Elsevier, vol. 35(1), pages 50-60, January.
    8. Feng, Lianyue & Xu, Helian & Wu, Gang & Zhao, Yuan & Xu, Jialin, 2020. "Exploring the structure and influence factors of trade competitive advantage network along the Belt and Road," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    9. Skyler J. Cranmer & Philip Leifeld & Scott D. McClurg & Meredith Rolfe, 2017. "Navigating the Range of Statistical Tools for Inferential Network Analysis," American Journal of Political Science, John Wiley & Sons, vol. 61(1), pages 237-251, January.
    10. Leonardo Ermann & Dima L. Shepelyansky, 2015. "Google matrix analysis of the multiproduct world trade network," Papers 1501.03371, arXiv.org.
    11. Zhang, B. & Qiao, H. & Chen, Z.M. & Chen, B., 2016. "Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis," Applied Energy, Elsevier, vol. 184(C), pages 1093-1105.
    12. Grodzicki, Maciej J. & Skrzypek, Jurand, 2020. "Cost-competitiveness and structural change in value chains – vertically-integrated analysis of the European automotive sector," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 276-287.
    13. Sun, Xudong & Li, Jiashuo & Qiao, Han & Zhang, Bo, 2017. "Energy implications of China's regional development: New insights from multi-regional input-output analysis," Applied Energy, Elsevier, vol. 196(C), pages 118-131.
    14. Daniel Moran & Richard Wood, 2014. "Convergence Between The Eora, Wiod, Exiobase, And Openeu'S Consumption-Based Carbon Accounts," Economic Systems Research, Taylor & Francis Journals, vol. 26(3), pages 245-261, September.
    15. Lu, Qinli & Fang, Kai & Heijungs, Reinout & Feng, Kuishuang & Li, Jiashuo & Wen, Qi & Li, Yanmei & Huang, Xianjin, 2020. "Imbalance and drivers of carbon emissions embodied in trade along the Belt and Road Initiative," Applied Energy, Elsevier, vol. 280(C).
    16. Wu, X.F. & Chen, G.Q., 2017. "Global primary energy use associated with production, consumption and international trade," Energy Policy, Elsevier, vol. 111(C), pages 85-94.
    17. Lixiao Zhang & Qiuhong Hu & Fan Zhang, 2014. "Input-Output Modeling for Urban Energy Consumption in Beijing: Dynamics and Comparison," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-11, March.
    18. 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.
    19. Thomas Chaney, 2014. "The Network Structure of International Trade," Post-Print hal-03579668, HAL.
    20. repec:hal:spmain:info:hdl:2441/7an8r1ubqs93caeqs80puld0tp is not listed on IDEAS
    21. Li, Jiaman & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin & Liu, Guixian, 2021. "Natural gas trade network of countries and regions along the belt and road: Where to go in the future?," Resources Policy, Elsevier, vol. 71(C).
    22. Lorenzo Cassi & Andrea Morrison & Anne L.J. Ter Wal, 2012. "The Evolution of Trade and Scientific Collaboration Networks in the Global Wine Sector: A Longitudinal Study Using Network Analysis," Economic Geography, Taylor & Francis Journals, vol. 88(3), pages 311-334, July.
    23. Zhang, Jing, 2019. "Oil and gas trade between China and countries and regions along the ‘Belt and Road’: A panoramic perspective," Energy Policy, Elsevier, vol. 129(C), pages 1111-1120.
    24. Wu, X.F. & Chen, G.Q., 2019. "Global overview of crude oil use: From source to sink through inter-regional trade," Energy Policy, Elsevier, vol. 128(C), pages 476-486.
    25. Liu, Ailan & Lu, Cuicui & Wang, Zhixuan, 2020. "The roles of cultural and institutional distance in international trade: Evidence from China's trade with the Belt and Road countries," China Economic Review, Elsevier, vol. 61(C).
    26. Bergstrand, Jeffrey H, 1985. "The Gravity Equation in International Trade: Some Microeconomic Foundations and Empirical Evidence," The Review of Economics and Statistics, MIT Press, vol. 67(3), pages 474-481, August.
    27. Duncan J. Watts & Steven H. Strogatz, 1998. "Collective dynamics of ‘small-world’ networks," Nature, Nature, vol. 393(6684), pages 440-442, June.
    28. Jackson, Karen & Shepotylo, Oleksandr, 2021. "Belt and road: The China dream?," China Economic Review, Elsevier, vol. 67(C).
    29. Cui, Lian-Biao & Peng, Pan & Zhu, Lei, 2015. "Embodied energy, export policy adjustment and China's sustainable development: A multi-regional input-output analysis," Energy, Elsevier, vol. 82(C), pages 457-467.
    30. 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).
    31. Chen, G.Q. & Wu, X.D. & Guo, Jinlan & Meng, Jing & Li, Chaohui, 2019. "Global overview for energy use of the world economy: Household-consumption-based accounting based on the world input-output database (WIOD)," Energy Economics, Elsevier, vol. 81(C), pages 835-847.
    32. Zhao, Laijun & Li, Deqiang & Guo, Xiaopeng & Xue, Jian & Wang, Chenchen & Sun, Wenjun, 2021. "Cooperation risk of oil and gas resources between China and the countries along the Belt and Road," Energy, Elsevier, vol. 227(C).
    33. Bullard, Clark W. & Herendeen, Robert A., 1975. "The energy cost of goods and services," Energy Policy, Elsevier, vol. 3(4), pages 268-278, December.
    34. Xu, Helian & Cheng, Long, 2016. "The QAP weighted network analysis method and its application in international services trade," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 91-101.
    35. Guo, Shan & Zheng, Shupeng & Hu, Yunhao & Hong, Jingke & Wu, Xiaofang & Tang, Miaohan, 2019. "Embodied energy use in the global construction industry," Applied Energy, Elsevier, vol. 256(C).
    36. Zhao, Yabo & Liu, Xiaofeng & Wang, Shaojian & Ge, Yuejing, 2019. "Energy relations between China and the countries along the Belt and Road: An analysis of the distribution of energy resources and interdependence relationships," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 133-144.
    37. 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.
    38. Zhang, Hongwei & Wang, Ying & Yang, Cai & Guo, Yaoqi, 2021. "The impact of country risk on energy trade patterns based on complex network and panel regression analyses," Energy, Elsevier, vol. 222(C).
    39. Manfred Lenzen & Daniel Moran & Keiichiro Kanemoto & Arne Geschke, 2013. "Building Eora: A Global Multi-Region Input-Output Database At High Country And Sector Resolution," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 20-49, March.
    40. Li, Xing & Zhou, Wei & Hou, Jiani, 2021. "Research on the impact of OFDI on the home country's global value chain upgrading," International Review of Financial Analysis, Elsevier, vol. 77(C).
    41. Chen, B. & Li, J.S. & Wu, X.F. & Han, M.Y. & Zeng, L. & Li, Z. & Chen, G.Q., 2018. "Global energy flows embodied in international trade: A combination of environmentally extended input–output analysis and complex network analysis," Applied Energy, Elsevier, vol. 210(C), pages 98-107.
    42. Zhaohui Chong & Chenglin Qin & Su Pan, 2019. "The Evolution of the Belt and Road Trade Network and Its Determinant Factors," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(14), pages 3166-3177, November.
    43. Leonardo Ermann & Dima Shepelyansky, 2015. "Google matrix analysis of the multiproduct world trade network," Post-Print hal-01104619, HAL.
    44. Jinping Zhao, 2021. "The Belt and Road Energy Cooperation," Springer Books, in: Reshaping the Economic Cooperation Pattern of the Belt and Road Initiative, chapter 0, pages 151-169, Springer.
    45. 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.
    46. Johnson, Robert C. & Noguera, Guillermo, 2012. "Accounting for intermediates: Production sharing and trade in value added," Journal of International Economics, Elsevier, vol. 86(2), pages 224-236.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuewei Wang & Mengmeng Xi & Hang Chen & Cong Lu, 2022. "Evolution and Driving Mechanism of Tourism Flow Networks in the Yangtze River Delta Urban Agglomeration Based on Social Network Analysis and Geographic Information System: A Double-Network Perspective," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    2. Meihui Jiang, 2022. "Locating the Principal Sectors for Carbon Emission Reduction on the Global Supply Chains by the Methods of Complex Network and Susceptible–Infective Model," Sustainability, MDPI, vol. 14(5), pages 1-13, February.

    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. Usubiaga-Liaño, Arkaitz & Arto, Iñaki & Acosta-Fernández, José, 2021. "Double accounting in energy footprint and related assessments: How common is it and what are the consequences?," Energy, Elsevier, vol. 222(C).
    2. Li, Yilin & Chen, Bin & Li, Chaohui & Li, Zhi & Chen, Guoqian, 2020. "Energy perspective of Sino-US trade imbalance in global supply chains," Energy Economics, Elsevier, vol. 92(C).
    3. Shepard, Jun U. & Pratson, Lincoln F., 2020. "Hybrid input-output analysis of embodied energy security," Applied Energy, Elsevier, vol. 279(C).
    4. Han, Mengyao & Xiong, Jiao & Yang, Yu, 2023. "Comparisons between direct and embodied natural gas networks: Topology, dependency and vulnerability," Energy, Elsevier, vol. 280(C).
    5. Kan, S.Y. & Chen, B. & Wu, X.F. & Chen, Z.M. & Chen, G.Q., 2019. "Natural gas overview for world economy: From primary supply to final demand via global supply chains," Energy Policy, Elsevier, vol. 124(C), pages 215-225.
    6. Lianyue Feng & Helian Xu & Gang Wu & Wenting Zhang, 2021. "Service trade network structure and its determinants in the Belt and Road based on the temporal exponential random graph model," Pacific Economic Review, Wiley Blackwell, vol. 26(5), pages 617-650, December.
    7. Fernández-Amador, Octavio & Francois, Joseph F. & Oberdabernig, Doris A. & Tomberger, Patrick, 2023. "Energy footprints and the international trade network: A new dataset. Is the European Union doing it better?," Ecological Economics, Elsevier, vol. 204(PA).
    8. Guo, Yaoqi & Zhao, Boya & Zhang, Hongwei, 2023. "The impact of the Belt and Road Initiative on the natural gas trade: A network structure dependence perspective," Energy, Elsevier, vol. 263(PD).
    9. Pol Antràs & Davin Chor, 2021. "Global Value Chains," NBER Working Papers 28549, National Bureau of Economic Research, Inc.
    10. Jinghui Liu & Tingting Geng & Xingwei Wang & Guojin Qin, 2020. "Determinants of Oil Footprints Embodied in Sino-US Trade: A Perspective from the Globalizing World," Energies, MDPI, vol. 13(15), pages 1-26, July.
    11. Song, Xiaoxin & Li, Rongrong, 2023. "Tracing and excavating critical paths and sectors for embodied energy consumption in global supply chains: A case study of China," Energy, Elsevier, vol. 284(C).
    12. Kan, Siyi & Chen, Bin & Chen, Guoqian, 2019. "Worldwide energy use across global supply chains: Decoupled from economic growth?," Applied Energy, Elsevier, vol. 250(C), pages 1235-1245.
    13. José A. Camacho & Lucas Silva Almeida & Mercedes Rodríguez & Jesús Molina, 2022. "Domestic versus foreign energy use: an analysis for four European countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 4602-4622, April.
    14. Wu, Gang & Pu, Yue & Shu, Tianran, 2021. "Features and evolution of global energy trade network based on domestic value-added decomposition of export," Energy, Elsevier, vol. 228(C).
    15. Ke Zhang & Xingwei Wang, 2021. "Pollution Haven Hypothesis of Global CO 2 , SO 2 , NO x —Evidence from 43 Economies and 56 Sectors," IJERPH, MDPI, vol. 18(12), pages 1-27, June.
    16. Jinghan Chen & Wen Zhou & Hongtao Yang, 2019. "Is Embodied Energy a Better Starting Point for Solving Energy Security Issues?—Based on an Overview of Embodied Energy-Related Research," Sustainability, MDPI, vol. 11(16), pages 1-22, August.
    17. Guo, Shan & Li, Yilin & He, Ping & Chen, Haosong & Meng, Jing, 2021. "Embodied energy use of China's megacities: A comparative study of Beijing and Shanghai," Energy Policy, Elsevier, vol. 155(C).
    18. 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.
    19. Hanspeter Wieland & Stefan Giljum & Nina Eisenmenger & Dominik Wiedenhofer & Martin Bruckner & Anke Schaffartzik & Anne Owen, 2020. "Supply versus use designs of environmental extensions in input–output analysis: Conceptual and empirical implications for the case of energy," Journal of Industrial Ecology, Yale University, vol. 24(3), pages 548-563, June.
    20. Kan, Siyi & Chen, Bin & Meng, Jing & Chen, Guoqian, 2020. "An extended overview of natural gas use embodied in world economy and supply chains: Policy implications from a time series analysis," Energy Policy, Elsevier, vol. 137(C).

    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:jsusta:v:13:y:2021:i:19:p:10530-:d:641101. 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.