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Spatial Heterogeneity and Spillovers of Employment in the EU Regions

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  • Chocholatá Michaela

    (Faculty of Economic Informatics, University of Economics in Bratislava, Bratislava, Slovakia)

  • Furková Andrea

    (Faculty of Economic Informatics, University of Economics in Bratislava, Bratislava, Slovakia)

Abstract

This paper focuses on the employment problem in the context of EU regions. Two main hypotheses were verified. The first hypothesis was related to the spatial heterogeneity problem, i.e., we hypothesised that relationship between the employment rate and the explanatory variables (GDP per inhabitant, educational attainment level and compensation of employees) may vary spatially. The second hypothesis dealt with the spatial autocorrelation, i.e., we assumed that the regional employment process is not isolated and that the neighbourhood of the regions also plays a significant role. As the main methodological tool the spatial regime models were applied. Spatial analysis of employment rate data indicated two spatial regimes. The results revealed the spatial instability of estimated parameters across the two regimes. Also, the spatial regional interconnections within both regimes were confirmed. Statistical significance of spillover effects of considered employment factors outlines the high importance of spatial spillovers.

Suggested Citation

  • Chocholatá Michaela & Furková Andrea, 2023. "Spatial Heterogeneity and Spillovers of Employment in the EU Regions," Zagreb International Review of Economics and Business, Sciendo, vol. 26(2), pages 163-182.
    • Handle: RePEc:vrs:zirebs:v:26:y:2023:i:2:p:163-182:n:1008
    DOI: 10.2478/zireb-2023-0019
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    References listed on IDEAS

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    1. Attila Varga & Luc Anselin & Zoltan J. Acs, 2000. "research notes and comments: Geographic and sectoral characteristics of academic knowledge externalities," Papers in Regional Science, Springer;Regional Science Association International, vol. 79(4), pages 435-443.
    2. Aleksandra Majchrowska & Paweł Strawiński, 2021. "Minimum wage and local employment: A spatial panel approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(5), pages 1581-1602, October.
    3. Florax, Raymond J. G. M. & Folmer, Hendrik & Rey, Sergio J., 2003. "Specification searches in spatial econometrics: the relevance of Hendry's methodology," Regional Science and Urban Economics, Elsevier, vol. 33(5), pages 557-579, September.
    4. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    5. Cristiano Perugini & Marcello Signorelli, 2004. "Employment Performance and Convergence in the European Countries and Regions," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 1(2), pages 243-278, December.
    6. Luc Anselin & Attila Varga & Zoltan Acs, 2008. "Geographical Spillovers and University Research: A Spatial Econometric Perspective," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 10, pages 122-134, Edward Elgar Publishing.
    7. Zoltan J. Acs & Luc Anselin & Attila Varga, 2008. "Patents and Innovation Counts as Measures of Regional Production of New Knowledge," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 11, pages 135-151, Edward Elgar Publishing.
    8. Cem Ertur & Julie Le Gallo, 2008. "Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches," Working Papers hal-00463274, HAL.
    9. Chao Wu & Yu Hua, 2023. "Does Environmental Regulation Have an Employment Dividend? Evidence from China," Sustainability, MDPI, vol. 15(7), pages 1-20, April.
    10. Henry G. Overman & Diego Puga, 2002. "Unemployment clusters across Europe's regions and countries [‘Regional evolutions’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 17(34), pages 115-148.
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    More about this item

    Keywords

    Employment rate in EU regions; Spatial regimes; Spillover effects; Spatial heterogeneity; Spatial autocorrelation;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

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