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Spatial-temporal assessment of regional labor market differentiation Cover

Spatial-temporal assessment of regional labor market differentiation

Open Access
|Apr 2024

Figures & Tables

Table 1.

Local drivers of regional employment growth

VoivodeshipLocal regional growth factor (uri)Average regional growth rate (txr.)Average rate of change in the country (tx..)
WomenMen
Dolnośląskie2.49%4.34%8.82%
Kujawsko-pomorskie-5.21%-4.24%0.68%5.37%
Lubelskie-23.1%-18.36%-15.27%
Lubuskie-5.54%1.02%3.3%
Łódzkie-7.71%-7.29%-2.12%
Małopolskie-4.30%2.90%4.77%
Mazowieckie10.51%10.08%15.65%
Opolskie-6.8%-4.18%-0.02%
Podkarpackie-23.06%-16.23%-14.11%
Podlaskie-10.64%-6.22%-2.92%
Pomorskie16.15%10.33%18.36%
Śląskie0.57%-5.13%2.69%
Świętokrzyskie-20.26%-18.08%-13.74%
Warmińsko-mazurskie-7%-7.48%-1.89%
Wielkopolskie19.73%10.66%20.23%
Zachodniopomorskie0.77%0.4%5.94%
Table 2.

Structural-geographical analysis of changes in the number of employees

VoivodeshipTotal effectClassic effects (SSA)Modified effects (SSSA)
StructuralGeographicStructuralGeographic
Dolnośląskie3.46%0%3.45%2.41%1.05%
Kujawsko-pomorskie-4.69%-0.01%-4.68%4.66%-9.35%
Lubelskie-20.64%0.01%-20.64%-9.17%-11.46%
Lubuskie-2.07%0%-2.07%6.21%-8.28%
tódzkie-7.49%0%-7.49%-0.97%-6.51%
Małopolskie-0.59%0.01%-0.6%-13.59%13%
Mazowieckie10.28%0%10.28%-11.36%21.65%
Opolskie-5.38%0%-5.38%2.07%-7.46%
Podkarpackie-19.48%0%-19.49%-13.34%-6.14%
Podlaskie-8.29%0%-8.29%-5.85%-2.44%
Pomorskie12.99%0%13%0.86%12.14%
Śląskie-2.68%-0.01%-2.66%-8.02%5.34%
Świętokrzyskie-19.11%0%-19.11%-6.72%-12.38%
Warmińsko-mazurskie-7.26%0%-7.26%2.59%-9.84%
Wielkopolskie14.86%0%14.86%-0.46%15.32%
Zachodniopomorskie0.58%0%0.57%8.51%-7.93%

1 SSA, shift-share analysis; SSSA, spatial shift-share analysis.

Table 3.

Local factors of regional growth in the number of unemployed people

VoivodeshipLocal regional growth factor (uri)Average regional growth rate (txr.)Average rate of change in the country (tx..)
WomenMen
Dolnośląskie-4.73%-3.68%-59.09%
Kujawsko-pomorskie1.3%-3.62%-55.69%-54.85%
Lubelskie8.13%9.83%-45.9%
Lubuskie-13.9%-15.15%-69.29%
Łódzkie-2.41%0.05%-56.08%
Małopolskie2.85%3.29%-51.79%
Mazowieckie7.96%6.56%-47.62%
Opolskie1.22%-2.17%-55.16%
Podkarpackie7.63%7.81%-47.14%
Podlaskie2.89%7.95%-49.37%
Pomorskie1.78%-3.43%-55.30%
Śląskie-5.42%-2.58%-59.01%
Świętokrzyskie0.38%0.76%-54.29%
Warmińsko-mazurskie-4.35%-6.87%-60.34%
Wielkopolskie-7.69%-9.01%-63.06%
Zachodniopomorskie-3.99%-6.74%-60.11%
Table 4.

Structural and geographic analysis of changes in the number of unemployed people

VoivodeshipTotal effectClassic effects (SSA)Modified effects (SSSA)
StructuralGeographicStructuralGeographic
Dolnośląskie-4.24%0%-4.24%-7.09%2.85%
Kujawsko-pomorskie-0.85%0.02%-0.86%-1.63%0.78%
Lubelskie8.95%-0.02%8.97%5.22%3.73%
Lubuskie-14.44%0.01%-14.46%-5.3%-9.15%
tódzkie-1.23%-0.01%-1.21%-2.14%0.91%
Małopolskie3.06%0.01%3.05%1.92%1.14%
Mazowieckie7.23%-0.03%7.26%0.07%7.16%
Opolskie-0.31%0.01%-0.32%-4.48%4.17%
Podkarpackie7.71%0%7.72%4.69%3.03%
Podlaskie5.48%-0.04%5.51%4.01%1.47%
Pomorskie-0.45%0.02%-0.47%-4.90%4.45%
Śląskie-4.16%0.02%-4.18%0.52%-4.67%
Świętokrzyskie0.55%-0.01%0.57%2.59%-2.03%
Warmińsko-mazurskie-5.49%0.01%-5.50%2.75%-8.24%
Wielkopolskie-8.21%0.03%-8.24%-2.60%-5.62%
Zachodniopomorskie-5.26%0%-5.26%-7.17%1.92%

1 SSA, shift-share analysis; SSSA, spatial shift-share analysis.

Table 5.

Structural drivers of regional grow

Characteristics studiedWomenMen
Number of employees0.21%-0.19%
Number of unemployed0.31%-0.35%
Table 6.

Ranking of voivodeship labor markets - Differences between total effects for the employed and unemployed

Voivodeship*ECz*ECbECz-ECb
Wielkopolskie14,86%-8,21%23,07%
Pomorskie12,99%-0,45%13,44%
Lubuskie-2,07%-14,44%12,37%
Dolnośląskie3,46%-4,24%7,70%
Zachodniopomorskie0,58%-5,26%5,84%
Mazowieckie10,28%7,23%3,05%
Śląskie-2,68%-4,16%1,48%
Warmińsko-mazurskie-7,26%-5,49%-1,77%
Małopolskie-0,59%3,06%-3,65%
Kujawsko-pomorskie-4,69%-0,85%-3,84%
Opolskie-5,38%-0,31%-5,07%
Łódzkie-7,49%-1,23%-6,26%
Podlaskie-8,29%5,48%-13,77%
Świętokrzyskie-19,11%0,55%-19,66%
Podkarpackie-19,48%7,71%-27,19%
Lubelskie-20,64%8,95%-29,59%

1 *ECz- total effect of the number of employees

*ECb- total effect of the number of unemployed

DOI: https://doi.org/10.2478/ijme-2024-0003 | Journal eISSN: 2543-5361 (formerly 2299-9701) | Journal ISSN: 2299-9701
Language: English
Page range: 77 - 88
Submitted on: Jun 28, 2023
Accepted on: Nov 1, 2023
Published on: Apr 11, 2024
Published by: SGH Warsaw School of Economics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
JEL:

© 2024 Ireneusz Dąbrowski, Adriana Politaj, Joanna Wicher, Łukasz Mach, Paweł Frącz, published by SGH Warsaw School of Economics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.