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Spreading Effect in Industrial Complex Network Based on Revised Structural Holes Theory

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  • Lizhi Xing
  • Qing Ye
  • Jun Guan

Abstract

This paper analyzed the spreading effect of industrial sectors with complex network model under perspective of econophysics. Input-output analysis, as an important research tool, focuses more on static analysis. However, the fundamental aim of industry analysis is to figure out how interaction between different industries makes impacts on economic development, which turns out to be a dynamic process. Thus, industrial complex network based on input-output tables from WIOD is proposed to be a bridge connecting accurate static quantitative analysis and comparable dynamic one. With application of revised structural holes theory, flow betweenness and random walk centrality were respectively chosen to evaluate industrial sectors’ long-term and short-term spreading effect process in this paper. It shows that industries with higher flow betweenness or random walk centrality would bring about more intensive industrial spreading effect to the industrial chains they stands in, because value stream transmission of industrial sectors depends on how many products or services it can get from the other ones, and they are regarded as brokers with bigger information superiority and more intermediate interests.

Suggested Citation

  • 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.
    • Handle: RePEc:plo:pone00:0156270
    DOI: 10.1371/journal.pone.0156270
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    1. Richard Baldwin & Javier Lopez-Gonzalez, 2015. "Supply-chain Trade: A Portrait of Global Patterns and Several Testable Hypotheses," The World Economy, Wiley Blackwell, vol. 38(11), pages 1682-1721, November.
    2. 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).
    3. Upper, Christian, 2011. "Simulation methods to assess the danger of contagion in interbank markets," Journal of Financial Stability, Elsevier, vol. 7(3), pages 111-125, August.
    4. Chang, Hui & Su, Bei-Bei & Zhou, Yue-Ping & He, Da-Ren, 2007. "Assortativity and act degree distribution of some collaboration networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(2), pages 687-702.
    5. McNerney, James & Fath, Brian D. & Silverberg, Gerald, 2013. "Network structure of inter-industry flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6427-6441.
    6. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    7. Inoue, Hiroyasu & Souma, Wataru & Tamada, Schumpeter, 2010. "Analysis of cooperative research and development networks on Japanese patents," Journal of Informetrics, Elsevier, vol. 4(1), pages 89-96.
    8. Neil Foster-McGregor & Robert Stehrer & Gaaitzen Vries, 2013. "Offshoring and the skill structure of labour demand," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 149(4), pages 631-662, December.
    9. Ottaviano, G.I.P. & Pessoa, João Paulo & Sampson, Thomas & Van Reenen, John, 2014. "Brexit or Fixit? The trade and welfare effects of leaving the European union," LSE Research Online Documents on Economics 57958, London School of Economics and Political Science, LSE Library.
    10. Koopman, Robert & Wang, Zhi & Wei, Shang-Jin, 2012. "Estimating domestic content in exports when processing trade is pervasive," Journal of Development Economics, Elsevier, vol. 99(1), pages 178-189.
    11. Federica Cerina & Zhen Zhu & Alessandro Chessa & Massimo Riccaboni, 2015. "World Input-Output Network," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-21, July.
    12. Chmiel, Anna M. & Sienkiewicz, Julian & Suchecki, Krzysztof & Hołyst, Janusz A., 2007. "Networks of companies and branches in Poland," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(1), pages 134-138.
    13. Hu, Sen & Yang, Hualei & Cai, Boliang & Yang, Chunxia, 2013. "Research on spatial economic structure for different economic sectors from a perspective of a complex network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3682-3697.
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    Cited by:

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    2. Stefano Costa & Federico Sallusti & Claudio Vicarelli, 2022. "Trade networks and shock transmission capacity: a new taxonomy of Italian industries," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(1), pages 133-153, March.
    3. 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.
    4. Jun Guan & Xiaoyu Xu & Shan Wu & Lizhi Xing, 2018. "Measurement and simulation of the relatively competitive advantages and weaknesses between economies based on bipartite graph theory," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-28, May.
    5. 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.
    6. Weidong Li & Anjian Wang & Weiqiong Zhong & Chunhui Wang, 2022. "An Impact Path Analysis of Russo–Ukrainian Conflict on the World and Policy Response Based on the Input–Output Network," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    7. Lizhi Xing & Shuo Jiang & Simeng Yin & Fangke Liu, 2024. "Substitution effect of Asian economies on China’s industrial and supply chains: from the perspective of global production network," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-27, December.
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    9. 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).

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