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What Network Analysis Can Teach Us About Chinese Economic Structure

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Decision Economics, In Commemoration of the Birth Centennial of Herbert A. Simon 1916-2016 (Nobel Prize in Economics 1978)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 475))

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Abstract

The reforms undertaken or expected by Chinese policymakers are likely to cause significant stress on the economy. In order to understand the implications for the economic system and its capacity to resist these shocks successfully (resilience), we carried out a spatial network analysis that helped to identify intersectoral interdependencies which could affect the behavior of the Chinese economy in reaction to exogenous (policy) shocks. The analysis starts from estimating the sectoral specialization of 287 municipalities across 14 industries using occupational employment shares. Secondly, the analysis identifies sectoral interdependencies across these sectors using a network based approach.

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Author information

Authors and Affiliations

  1. University of Chieti-Pescara, Chieti, Italy

    Vittorio Carlei, Alina Castagna, Leila Chentouf & Donatella Furia

Authors
  1. Vittorio Carlei
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  2. Alina Castagna
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  3. Leila Chentouf
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  4. Donatella Furia
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Corresponding author

Correspondence to Donatella Furia .

Editor information

Editors and Affiliations

  1. University of Chieti-Pescara, Pescara, Italy

    Edgardo Bucciarelli

  2. Dept of Economical-Statistical and PES, University of Chieti-Pescara, Pescara, Italy

    Marcello Silvestri

  3. Fac Ciencias, Dept de Info y Automática, Universidad de Salamanca, Salamanca, Spain

    Sara Rodríguez González

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© 2016 Springer International Publishing Switzerland

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Carlei, V., Castagna, A., Chentouf, L., Furia, D. (2016). What Network Analysis Can Teach Us About Chinese Economic Structure. In: Bucciarelli, E., Silvestri, M., Rodríguez González, S. (eds) Decision Economics, In Commemoration of the Birth Centennial of Herbert A. Simon 1916-2016 (Nobel Prize in Economics 1978). Advances in Intelligent Systems and Computing, vol 475. Springer, Cham. https://doi.org/10.1007/978-3-319-40111-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-40111-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40110-2

  • Online ISBN: 978-3-319-40111-9

  • eBook Packages: EngineeringEngineering (R0)

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