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Economic vulnerabilities in Italy: A network analysis using similarities in sectoral employment

Author

Listed:
  • Castagna, Alina
  • Chentouf, Leila
  • Ernst, Ekkehard

Abstract

This article presents an original spatial methodology based on a network analysis approach in order to identify and to track spatial similarities among economic activities as well as to analyse their interdependence. Traditionally, such interdependence is analysed using input-output matrices (IO) that track economic flows across sectors. However, models based on IO do not allow to analyse spatial interdependence. In our approach, instead, we make use of local employment patterns. In particular, using sectoral employment of 8091 Italian municipalities across 18 economic activities, our approach allows to identify spatial inter-linkages in terms of employment patterns. By comparing such local employment patterns, our methodology shows inter-linkages among activities, which are important for understanding the transmission of exogenous shocks. Our analysis highlights similarities among economic activities, and allows to identify central activities (hubs) and their relationship with each other. Moreover, simulating the spread of an exogenous shock through the economic structure allows us to identify important activities not only in economic terms but also in terms of centrality and connectivity.

Suggested Citation

  • Castagna, Alina & Chentouf, Leila & Ernst, Ekkehard, 2017. "Economic vulnerabilities in Italy: A network analysis using similarities in sectoral employment," GLO Discussion Paper Series 50, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:50
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    File URL: https://www.econstor.eu/bitstream/10419/156417/1/GLO_DP_0050.pdf
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    References listed on IDEAS

    as
    1. G. Bonanno & G. Caldarelli & F. Lillo & S. Micciché & N. Vandewalle & R. Mantegna, 2004. "Networks of equities in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 363-371, March.
    2. Cabrales, Antonio; Gale, Douglas; Gottardi, Piero, 2015. "Financial Contagion in Networks," Economics Working Papers ECO2015/01, European University Institute.
    3. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    4. Carl F. Christ, 1955. "A Review of Input-Output Analysis," NBER Chapters,in: Input-Output Analysis: An Appraisal, pages 137-182 National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Network analysis; local employment patterns; business cycles; financial sector; spatial economic analysis;

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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