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Female unemployment and its determinants in Poland in 2016 from the spatial perspective

Author

Listed:
  • Karolina Lewandowska-Gwarda

    (University of Lodz, Poland)

Abstract

Research background: Through the cultural progress and socio-economic development in Poland women have obtained the same rights as men in the labour market. Nevertheless, they continuously face discrimination and the difficulty, resulting from their traditional role, in finding or maintaining employment. Purpose of the article: The main objective of this study was an analysis of female unemployment and its determinants in Poland in 2016 from the spatial perspective. The following research questions were also specified: Is female unemployment dependent on social factors (do they play the key role)? Are the factors determining the level of female unemployment spatially diversified? Is the GWR model an effective tool in analysis of female unemployment? Methods: The research applied GIS and spatial analysis methods including Geographically Weighted Regression, which enables the identification of the variability of regression coefficients in the geographical space. The analysis was carried out based on statistical data presenting the share of unemployed women in the working age population for 380 Polish districts (NUTS 4, LAU 1) in 2016. Findings & Value added: The research results showed that in the period 2003-2016 the female unemployment was getting lower, but it was still higher than men. It was also spatially diversified. Moreover, the determinants of female unemployment were diverse in the geographic space and did not have a significant impact on the variable in all spatial units. The existence of clusters of districts, characterised by similar interactions and its strength, was also confirmed. The results of this analysis proved that non-economic (social) factors largely affected the level of female unemployment in Poland in 2016. Using GWR enabled drawing detailed conclusions concerning the determinants of female unemployment in Poland, it proved to be an effective tool for the analysis of this phenomenon.

Suggested Citation

  • Karolina Lewandowska-Gwarda, 2018. "Female unemployment and its determinants in Poland in 2016 from the spatial perspective," Oeconomia Copernicana, Institute of Economic Research, vol. 9(2), pages 183-204, June.
    • Handle: RePEc:pes:ieroec:v:9:y:2018:i:2:p:183-204
    DOI: 10.24136/oc.2018.010
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    Cited by:

    1. Bartłomiej Iglinski & Karol Flisikowski & Michał Bernard Pietrzak & Urszula Kiełkowska & Mateusz Skrzatek & Anas Zyadin & Karthikeyan Natarajan, 2021. "Renewable Energy in the Pomerania Voivodeship—Institutional, Economic, Environmental and Physical Aspects in Light of EU Energy Transformation," Energies, MDPI, vol. 14(24), pages 1-27, December.
    2. Ewa Rollnik-Sadowska & Marta Jarocka & Edyta Dabrowska, 2020. "Diversity of Regional Labour Markets in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 33-51.
    3. Hernik Joanna & Sagan Adam, 2023. "An Attempt to Measure and Model Women’s Attitudes to Saving for Retirement," Folia Oeconomica Stetinensia, Sciendo, vol. 23(1), pages 84-106, June.
    4. Katarzyna Wawrzyniak & Iwona Bak & Katarzyna Cheba & Maciej Oesterreich, 2020. "The Similarity of European Union Countries in Terms of the Structure of the Unemployed," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 416-429.

    More about this item

    Keywords

    female unemployment in Poland; NUTS 4 (LAU 1); spatial analysis; GIS; GWR;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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