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Simulation analysis of the competitive status between China and Portuguese-speaking countries under the background of one belt and one road initiative

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  • Xing, Lizhi
  • Wang, Dawei
  • Li, Yan
  • Guan, Jun
  • Dong, Xianlei

Abstract

The inter-country input–output table is good at presenting the complicated interdependent relation among various industrial sectors from a global perspective, with a clear embodiment of the number of resources one sector may gain from its upper-stream sectors on the global value chain. Therefore, relevant researches mainly take the advantage of depicting the topological structure of the economic system through the measurements on intermediate products as an indication of input and output relation, so as to shed lights on analyzing the rules of value flows and industrial structural features. In this paper, a new analytical framework of relatively competitive advantages of economies is established. It involves distinguishing functions of industrial sectors on the global value chain with bipartite graph theory and extracting inter-sector competitive relationships through resource allocation process. Furthermore, it introduces network-based quantitative indices to measure the competition status on the level of the industrial sector and country respectively, taking scarcity of industrial resources into consideration. Finally, it carries out scenario simulation to analyze impacts on China and five Portuguese-speaking countries’ competitive advantage and weakness by three kinds of scenarios and three cases. Results achieved from simulations on the trade show there is no mutual win-win for both China and PSCs, if relevant international trade policy had been formulated without consideration their market sizes and industrial layouts. However, we are positive and optimistic to find good solutions for both sides in the following studies.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:phsmap:v:539:y:2020:i:c:s0378437119316437
    DOI: 10.1016/j.physa.2019.122895
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    as
    1. Pol Antràs & Davin Chor, 2013. "Organizing the Global Value Chain," Econometrica, Econometric Society, vol. 81(6), pages 2127-2204, November.
    2. João Amador & Sónia Cabral, 2017. "Networks of Value-added Trade," The World Economy, Wiley Blackwell, vol. 40(7), pages 1291-1313, July.
    3. Pol Antras & Davin Chor & Thibault Fally & Russell Hillberry, 2012. "Measuring the Upstreamness of Production and Trade Flows," American Economic Review, American Economic Association, vol. 102(3), pages 412-416, May.
    4. Tsekeris, Theodore, 2017. "Global value chains: Building blocks and network dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 488(C), pages 187-204.
    5. Araújo, Tanya & Faustino, Rui, 2017. "The topology of inter-industry relations from the Portuguese national accounts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 236-248.
    6. Federica Cerina & Zhen Zhu & Alessandro Chessa & Massimo Riccaboni, 2014. "World Input-Output Network," Working Papers 6/2014, IMT School for Advanced Studies Lucca, revised Jul 2014.
    7. 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.
    8. 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.
    9. 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.
    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. 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.
    12. Martha G. Alatriste Contreras & Giorgio Fagiolo, 2014. "Propagation of economic shocks in input-output networks: A cross-country analysis," Post-Print hal-01474258, HAL.
    13. 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.
    14. Ando, Sakai, 2014. "Measuring US sectoral shocks in the world input–output network," Economics Letters, Elsevier, vol. 125(2), pages 204-207.
    15. 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).
    16. Zhi Wang & Shang-Jin Wei & Xinding Yu & Kunfu Zhu, 2017. "Measures of Participation in Global Value Chains and Global Business Cycles," NBER Working Papers 23222, National Bureau of Economic Research, Inc.
    17. Hummels, David & Ishii, Jun & Yi, Kei-Mu, 2001. "The nature and growth of vertical specialization in world trade," Journal of International Economics, Elsevier, vol. 54(1), pages 75-96, June.
    18. 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.
    19. Robert Koopman & William Powers & Zhi Wang & Shang-Jin Wei, 2010. "Give Credit Where Credit Is Due: Tracing Value Added in Global Production Chains," NBER Working Papers 16426, National Bureau of Economic Research, Inc.
    20. Xing, Lizhi & Guan, Jun & Wu, Shan, 2018. "Measuring the impact of final demand on global production system based on Markov process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 148-163.
    21. 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.
    22. 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.
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