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Evolution of the Chinese industrial structure: A social network perspective

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  • Wang, Chengwei
  • Miao, Wang
  • Lu, Miaomiao

Abstract

From a social network perspective, an industrial system can be regarded as an industrial network formed by industries as nodes and associations as edges. Based on this, this research constructed an industrial network model that converts the purely numerical coefficient measurement of industrial structure evolution into a structural feature comparison on an industrial network graph. Based on China's input–output data from 2007, 2012, and 2017, this research constructed an industrial network, analyzed the overall structure and individual characteristics of the industrial network, and further explored the economic meaning of each network indicator. The indicators of the overall scale of the Chinese industrial network showed a continuous growth trend, indicating that the association structure between industries has increased in complexity. For all kinds of industries, manufacturing industries and a few service industries significantly influence the overall industrial network. The supporting role of capital-intensive industries has become increasingly prominent. Gradually, the industrial grouping pattern tended to be balanced, and the self-organization within the subgroups continued to increase. Compared to the research paradigm of an industrial structure based on an input–output model, research on industrial structures based on an industrial network model can explore the information of industrial network structures by analyzing the differences in the positions and roles of specific industries in the industrial network and adding a new influencing factor to explain the differences in the development of various industries. This research shows that the industrial network can provide important technical support for transforming and upgrading the industrial economy as well as promote the healthy and sustainable development of the national economy.

Suggested Citation

  • Wang, Chengwei & Miao, Wang & Lu, Miaomiao, 2022. "Evolution of the Chinese industrial structure: A social network perspective," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  • Handle: RePEc:eee:tefoso:v:184:y:2022:i:c:s0040162522004930
    DOI: 10.1016/j.techfore.2022.121972
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    as
    1. Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Journal of Economic Perspectives, American Economic Association, vol. 28(4), pages 23-48, Fall.
    2. Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Working Papers 793, Barcelona School of Economics.
    3. Daron Acemoglu & Ufuk Akcigit & William Kerr, 2016. "Networks and the Macroeconomy: An Empirical Exploration," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 273-335.
    4. Vasco M. Carvalho & Alireza Tahbaz-Salehi, 2019. "Production Networks: A Primer," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 635-663, August.
    5. Goyal, Sanjeev & Vega-Redondo, Fernando, 2005. "Network formation and social coordination," Games and Economic Behavior, Elsevier, vol. 50(2), pages 178-207, February.
    6. Alcantara, Vicent & Duarte, Rosa, 2004. "Comparison of energy intensities in European Union countries. Results of a structural decomposition analysis," Energy Policy, Elsevier, vol. 32(2), pages 177-189, January.
    7. Harhoff, Dietmar & Scherer, Frederic M. & Vopel, Katrin, 2003. "Citations, family size, opposition and the value of patent rights," Research Policy, Elsevier, vol. 32(8), pages 1343-1363, September.
    8. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    9. Sangwon Suh & Shigemi Kagawa, 2005. "Industrial ecology and input-output economics: an introduction," Economic Systems Research, Taylor & Francis Journals, vol. 17(4), pages 349-364.
    10. Syrquin, Moshe & Chenery, Hollis, 1989. "Three decades of industrialization," MPRA Paper 32771, University Library of Munich, Germany.
    11. Robbie M. Andrew & Glen P. Peters, 2013. "A Multi-Region Input-Output Table Based On The Global Trade Analysis Project Database (Gtap-Mrio)," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 99-121, March.
    12. Sandro Montresor & Giuseppe Vittucci Marzetti, 2009. "APPLYING SOCIAL NETWORK ANALYSIS TO INPUT-OUTPUT BASED INNOVATION MATRICES: AN ILLUSTRATIVE APPLICATION TO SIX OECD TECHNOLOGICAL SYSTEMS FOR THE MIDDLE 1990s," Economic Systems Research, Taylor & Francis Journals, vol. 21(2), pages 129-149.
    13. Charles I. Jones, 2011. "Misallocation, Economic Growth, and Input-Output Economics," NBER Working Papers 16742, National Bureau of Economic Research, Inc.
    14. Federica Brunetta & Anna Censi & Francesco Rullani & Francesca Vicentini, 2019. "Strategic networks: Leveraging complementarities to overcome industrial districts’ boundaries," Stato e mercato, Società editrice il Mulino, issue 3, pages 485-525.
    15. Peneder, Michael, 2003. "Industrial structure and aggregate growth," Structural Change and Economic Dynamics, Elsevier, vol. 14(4), pages 427-448, December.
    16. 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.
    17. Campbell, John, 1975. "Application of graph theoretic analysis to interindustry relationships : The example of Washington state," Regional Science and Urban Economics, Elsevier, vol. 5(1), pages 91-106, February.
    18. Holub, H. W. & Schnabl, H., 1985. "Qualitative input-output analysis and structural information," Economic Modelling, Elsevier, vol. 2(1), pages 67-73, January.
    19. Guan, Jiancheng & Zhao, Qingjun, 2013. "The impact of university–industry collaboration networks on innovation in nanobiopharmaceuticals," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1271-1286.
    20. Glen Peters & Robbie Andrew & James Lennox, 2011. "Constructing An Environmentally-Extended Multi-Regional Input-Output Table Using The Gtap Database," Economic Systems Research, Taylor & Francis Journals, vol. 23(2), pages 131-152.
    21. 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.
    22. Rita María del Río-Chanona & Jelena Grujić & Henrik Jeldtoft Jensen, 2017. "Trends of the World Input and Output Network of Global Trade," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-14, January.
    23. 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.
    24. Lim, Hea-Jin & Yoo, Seung-Hoon & Kwak, Seung-Jun, 2009. "Industrial CO2 emissions from energy use in Korea: A structural decomposition analysis," Energy Policy, Elsevier, vol. 37(2), pages 686-698, February.
    25. Dong Guo & Geoffrey Hewings & Michael Sonis, 2005. "Integrating decomposition approaches for the analysis of temporal changes in economic structure: an application to Chicago's economy from 1980 to 2000," Economic Systems Research, Taylor & Francis Journals, vol. 17(3), pages 297-315.
    26. Rose, Adam, 1995. "Input-output economics and computable general equilibrium models," Structural Change and Economic Dynamics, Elsevier, vol. 6(3), pages 295-304, August.
    27. 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.
    28. Mirko Titze & Matthias Brachert & Alexander Kubis, 2011. "The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis (QIOA)," Regional Studies, Taylor & Francis Journals, vol. 45(1), pages 89-102.
    29. Acemoglu, Daron, 2012. "Introduction to economic growth," Journal of Economic Theory, Elsevier, vol. 147(2), pages 545-550.
    30. Fan, Xiao-mei & Liu, Hong-guang, 2021. "Global supply chain shifting: A macro sense of production relocation based on multi-regional input-output table," Economic Modelling, Elsevier, vol. 94(C), pages 672-680.
    31. Monteforte, Fabio, 2020. "Structural change, the push-pull hypothesis and the Spanish labour market," Economic Modelling, Elsevier, vol. 86(C), pages 148-169.
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