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Analysis of regional labour market dynamics: In search of indications for self-organised criticality

Author

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  • Rainer Andergassen
  • Peter Nijkamp
  • Aura Reggiani

Abstract

Self-Organised Criticality (SOC) is a concept developed over the last decade from dynamic systems analysis that aims to investigate the transition trajectories of evolutionary systems. The main emphasis in SOC is on the analysis of the impact of slow exogenous forces in combination with strong localised interactions between single elements or components of the systems concerned, with particular regard to the attainment of a critical state at the macro-level. Against this background, SOC serves to identify the critical conditions from the internal dynamics of the systems that lead to major and significant transformations of their behaviour. The present paper aims to offer insights and reflections originating from the SOC concept, as well as to explore its potential contribution to understanding the evolution of regional economic patterns, in particular the functioning of regional labour markets. In our study, the evolutionary dynamics of employment at a district level in West Germany as well as in the combined West and East German setting will be investigated, in order to detect the possible existence of a power law distribution of growth rates, which may be seen as an indication for SOC at the macro-economic level. In this context, SOC may help to explain the presence of large socio-economic regional fluctuations in a country, and, in general, the dynamics inherent to regional development. Copyright Springer-Verlag Berlin Heidelberg 2003

Suggested Citation

  • Rainer Andergassen & Peter Nijkamp & Aura Reggiani, 2003. "Analysis of regional labour market dynamics: In search of indications for self-organised criticality," Journal of Geographical Systems, Springer, vol. 5(3), pages 275-290, November.
  • Handle: RePEc:kap:jgeosy:v:5:y:2003:i:3:p:275-290
    DOI: 10.1007/s10109-003-0112-1
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    Citations

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    Cited by:

    1. Simonetta Longhi & Peter Nijkamp & Aura Reggianni & Erich Maierhofer, 2005. "Neural Network Modeling as a Tool for Forecasting Regional Employment Patterns," International Regional Science Review, , vol. 28(3), pages 330-346, July.

    More about this item

    Keywords

    Labour market dynamics; regional economic patterns; self-organised criticality; power law distribution; economic fluctuations; C82; E32; R11; R23;
    All these keywords.

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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