Spatial-temporal assessment of regional labor market differentiation
, , , und | 11. Apr. 2024
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Article Category: Empirical Paper
Online veröffentlicht: 11. Apr. 2024
Seitenbereich: 77 - 88
Eingereicht: 28. Juni 2023
Akzeptiert: 01. Nov. 2023
DOI: https://doi.org/10.2478/ijme-2024-0003
Schlüsselwörter
© 2024 Ireneusz Dąbrowski et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Local factors of regional growth in the number of unemployed people
| Voivodeship | Local regional growth factor (uri) | Average regional growth rate (txr.) | Average rate of change in the country (tx..) | |
|---|---|---|---|---|
| Women | Men | |||
| Dolnośląskie | -4.73% | -3.68% | -59.09% | |
| Kujawsko-pomorskie | 1.3% | -3.62% | -55.69% | -54.85% |
| Lubelskie | 8.13% | 9.83% | -45.9% | |
| Lubuskie | -13.9% | -15.15% | -69.29% | |
| Łódzkie | -2.41% | 0.05% | -56.08% | |
| Małopolskie | 2.85% | 3.29% | -51.79% | |
| Mazowieckie | 7.96% | 6.56% | -47.62% | |
| Opolskie | 1.22% | -2.17% | -55.16% | |
| Podkarpackie | 7.63% | 7.81% | -47.14% | |
| Podlaskie | 2.89% | 7.95% | -49.37% | |
| Pomorskie | 1.78% | -3.43% | -55.30% | |
| Śląskie | -5.42% | -2.58% | -59.01% | |
| Świętokrzyskie | 0.38% | 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% | |
Structural-geographical analysis of changes in the number of employees
| Voivodeship | Total effect | Classic effects (SSA) | Modified effects (SSSA) | ||
|---|---|---|---|---|---|
| Structural | Geographic | Structural | Geographic | ||
| Dolnośląskie | 3.46% | 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% |
| Mazowieckie | 10.28% | 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% |
| Pomorskie | 12.99% | 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% |
| Wielkopolskie | 14.86% | 0% | 14.86% | -0.46% | 15.32% |
| Zachodniopomorskie | 0.58% | 0% | 0.57% | 8.51% | -7.93% |
Structural drivers of regional grow
| Characteristics studied | Women | Men |
|---|---|---|
| Number of employees | 0.21% | -0.19% |
| Number of unemployed | 0.31% | -0.35% |
Local drivers of regional employment growth
| Voivodeship | Local regional growth factor (uri) | Average regional growth rate (txr.) | Average rate of change in the country (tx..) | |
|---|---|---|---|---|
| Women | Men | |||
| Dolnośląskie | 2.49% | 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% | |
| Mazowieckie | 10.51% | 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% | |
| Pomorskie | 16.15% | 10.33% | 18.36% | |
| Śląskie | 0.57% | -5.13% | 2.69% | |
| Świętokrzyskie | -20.26% | -18.08% | -13.74% | |
| Warmińsko-mazurskie | -7% | -7.48% | -1.89% | |
| Wielkopolskie | 19.73% | 10.66% | 20.23% | |
| Zachodniopomorskie | 0.77% | 0.4% | 5.94% | |
Ranking of voivodeship labor markets - Differences between total effects for the employed and unemployed
| Voivodeship | *ECz | *ECb | ECz-ECb |
|---|---|---|---|
| Wielkopolskie | 14,86% | -8,21% | 23,07% |
| Pomorskie | 12,99% | -0,45% | 13,44% |
| Lubuskie | -2,07% | -14,44% | 12,37% |
| Dolnośląskie | 3,46% | -4,24% | 7,70% |
| Zachodniopomorskie | 0,58% | -5,26% | 5,84% |
| Mazowieckie | 10,28% | 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% |
Structural and geographic analysis of changes in the number of unemployed people
| Voivodeship | Total effect | Classic effects (SSA) | Modified effects (SSSA) | ||
|---|---|---|---|---|---|
| Structural | Geographic | Structural | Geographic | ||
| Dolnośląskie | -4.24% | 0% | -4.24% | -7.09% | 2.85% |
| Kujawsko-pomorskie | -0.85% | 0.02% | -0.86% | -1.63% | 0.78% |
| Lubelskie | 8.95% | -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% |
| Małopolskie | 3.06% | 0.01% | 3.05% | 1.92% | 1.14% |
| Mazowieckie | 7.23% | -0.03% | 7.26% | 0.07% | 7.16% |
| Opolskie | -0.31% | 0.01% | -0.32% | -4.48% | 4.17% |
| Podkarpackie | 7.71% | 0% | 7.72% | 4.69% | 3.03% |
| Podlaskie | 5.48% | -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% |
| Świętokrzyskie | 0.55% | -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% |