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Understanding the competitive advantage of TPP-related nations from an econophysics perspective: Influence caused by China and the United States

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  • Xing, Lizhi
  • Guan, Jun
  • Dong, Xianlei
  • Wu, Shan

Abstract

A new analytical framework of relatively competitive advantages of economies is established in this paper, which involves distinguishing functions of industrial sectors on the global value chain with bipartite graph theory and extracting inter-sector competitive relations through resource allocation process. Furthermore, it introduces network-based quantitative indices to measure the competitive advantage on the level of industrial sector and country respectively, taking scarcity of industrial resources into consideration. Finally, it carries out scenario simulation to analyze impacts on 13 TPP-related countries’ competitiveness under four kinds of scenarios. Results show that a TPP without both the United States and China will undermine the two countries’ competitiveness, and China’s impact on GVC will be truly weaken if a TPP agreement led by the United States is reached and vice versa. Anyway, A TPP including both these two countries would serve the mutual interests

Suggested Citation

  • Xing, Lizhi & Guan, Jun & Dong, Xianlei & Wu, Shan, 2018. "Understanding the competitive advantage of TPP-related nations from an econophysics perspective: Influence caused by China and the United States," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 164-184.
    • Handle: RePEc:eee:phsmap:v:502:y:2018:i:c:p:164-184
    DOI: 10.1016/j.physa.2018.02.126
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    as
    1. João Amador & Sónia Cabral, 2017. "Networks of Value-added Trade," The World Economy, Wiley Blackwell, vol. 40(7), pages 1291-1313, July.
    2. J. Lorenz & S. Battiston & F. Schweitzer, 2009. "Systemic risk in a unifying framework for cascading processes on networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 441-460, October.
    3. Grassi, Rosanna, 2010. "Vertex centrality as a measure of information flow in Italian Corporate Board Networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(12), pages 2455-2464.
    4. Zhu, Zhen & Morrison, Greg & Puliga, Michelangelo & Chessa, Alessandro & Riccaboni, Massimo, 2018. "The similarity of global value chains: A network-based measure," Network Science, Cambridge University Press, vol. 6(4), pages 607-632, December.
    5. J. B. Glattfelder & S. Battiston, 2009. "Backbone of complex networks of corporations: The flow of control," Papers 0902.0878, arXiv.org, revised Aug 2009.
    6. Lizhi Xing & Qing Ye & Jun Guan, 2016. "Spreading Effect in Industrial Complex Network Based on Revised Structural Holes Theory," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-18, May.
    7. Lizhi Xing, 2017. "Analysis of inter-country input-output table based on citation network: How to measure the competition and collaboration between industrial sectors on the global value chain," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-29, September.
    8. He, Xijun & Dong, Yanbo & Wu, Yuying & Wei, Guodan & Xing, Lizhi & Yan, Jia, 2017. "Structure analysis and core community detection of embodied resources networks among regional industries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 137-150.
    9. Stefano Battiston & Joao F. Rodrigues & Hamza Zeytinoglu, 2007. "The Network Of Inter-Regional Direct Investment Stocks Across Europe," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 29-51.
    10. Grazzini, Jakob & Spelta, Alessandro, 2022. "An empirical analysis of the global input–output network and its evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    11. Dietzenbacher,Erik & Lahr,Michael L. (ed.), 2004. "Wassily Leontief and Input-Output Economics," Cambridge Books, Cambridge University Press, number 9780521832380.
    12. Ando, Sakai, 2014. "Measuring US sectoral shocks in the world input–output network," Economics Letters, Elsevier, vol. 125(2), pages 204-207.
    13. Fabio CERINA & MORITA Tadashi & YAMAMOTO Kazuhiro, 2015. "Trade Integration, Welfare, and Horizontal Multinationals: A three-country model," Discussion papers 15109, Research Institute of Economy, Trade and Industry (RIETI).
    14. Zhi Wang & Shang-Jin Wei & Xinding Yu & Kunfu Zhu, 2017. "Characterizing Global Value Chains: Production Length and Upstreamness," NBER Working Papers 23261, National Bureau of Economic Research, Inc.
    15. Xing, Lizhi & Dong, Xianlei & Guan, Jun, 2017. "Global industrial impact coefficient based on random walk process and inter-country input–output table," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 576-591.
    16. Iori, Giulia & De Masi, Giulia & Precup, Ovidiu Vasile & Gabbi, Giampaolo & Caldarelli, Guido, 2008. "A network analysis of the Italian overnight money market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 259-278, January.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. João Amador & Sónia Cabral & Rossana Mastrandrea & Franco Ruzzenenti, 2018. "Who’s Who in Global Value Chains? A Weighted Network Approach," Open Economies Review, Springer, vol. 29(5), pages 1039-1059, November.
    2. Xing, Lizhi & Dong, Xianlei & Guan, Jun & Qiao, Xiaoyong, 2019. "Betweenness centrality for similarity-weight network and its application to measuring industrial sectors’ pivotability on the global value chain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 19-36.
    3. Xing, Lizhi & Wang, Dawei & Li, Yan & Guan, Jun & Dong, Xianlei, 2020. "Simulation analysis of the competitive status between China and Portuguese-speaking countries under the background of one belt and one road initiative," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    4. Cheng, Mengyao & Wu, Jialu & Li, Chaohui & Jia, Yuanxin & Xia, Xiaohua, 2023. "Tele-connection of global agricultural land network: Incorporating complex network approach with multi-regional input-output analysis," Land Use Policy, Elsevier, vol. 125(C).

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