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Spatial analysis of European employment policies at regional level

Author

Listed:
  • Ana Isabel Otero

    (Isabel I of Castile International University)

  • Óscar Luis Alonso

    (International University of La Rioja)

Abstract

The employment policies implemented in Asturias, a NUTS II region of the EU, under the European Social Fund for the period 2007-2013, are analyzed under the approach of spatial econometrics. The use of micro-territorial data is adjusted to the needs of a territory with an administrative distribution adapted to a mountainous orography that requires considering the possible relationships of spatial dependence between its territorial units, thus allowing an accurate analysis of the impact on employment that considers the diversity, from the economic point of view, of its counties and municipalities. A spatial analysis, with cross-sectional data, determining the possible relationship between European Social Fund public investment and employment levels, considering the possible effects of spatial dependence between the different municipalities and the concentration of clusters in the different regions, seems to us to be the first step to be able to analyze the possible impact of some of the EU employment policies in their regions. The results do not seem to allow us to conclude that the investment made has led to an improvement in the variation of employment, highly conditioned by the variations of the population during the period in the reference municipalities.

Suggested Citation

  • Ana Isabel Otero & Óscar Luis Alonso, 2022. "Spatial analysis of European employment policies at regional level," Economics Bulletin, AccessEcon, vol. 42(4), pages 2088-2102.
    • Handle: RePEc:ebl:ecbull:eb-22-00445
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    References listed on IDEAS

    as
    1. Paul Elhorst & Eelco Zandberg & Jakob De Haan, 2013. "The Impact of Interaction Effects among Neighbouring Countries on Financial Liberalization and Reform: A Dynamic Spatial Panel Data Approach," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(3), pages 293-313, September.
    2. Mohl, Philipp & Hagen, Tobias, 2011. "Do EU structural funds promote regional employment? Evidence from dynamic panel data models," Working Paper Series 1403, European Central Bank.
    3. Henryk Gurgul & Łukasz Lach, 2019. "Regional patterns in technological progress of Poland: the role of EU structural funds," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(4), pages 1195-1220, December.
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    JEL classification:

    • O2 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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