Spatial Autocorrelation of the Gender Pay Gap Indicator Across the Macroregions of the European Union
The unadjusted gender pay gap (GPG) is one of the indicators that measure progress towards SDG5. There is considerable variability in the values of this indicator among the individual countries and regions of the EU. However, due to the effects resulting from the neighbouring economies’ interactions...
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| Format: | Article |
| Language: | English |
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Sciendo
2025-06-01
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| Series: | Folia Oeconomica Stetinensia |
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| Online Access: | https://doi.org/10.2478/foli-2025-0009 |
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| author | Matuszewska-Janica Aleksandra |
| author_facet | Matuszewska-Janica Aleksandra |
| author_sort | Matuszewska-Janica Aleksandra |
| collection | DOAJ |
| description | The unadjusted gender pay gap (GPG) is one of the indicators that measure progress towards SDG5. There is considerable variability in the values of this indicator among the individual countries and regions of the EU. However, due to the effects resulting from the neighbouring economies’ interactions, spatial autocorrelation (SA) should be taken into account when analysing these indicators, especially at the regional level. |
| format | Article |
| id | doaj-art-6a9e6c8f006b4a3095b9dec9a3a34a48 |
| institution | OA Journals |
| issn | 1898-0198 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Folia Oeconomica Stetinensia |
| spelling | doaj-art-6a9e6c8f006b4a3095b9dec9a3a34a482025-08-20T02:07:02ZengSciendoFolia Oeconomica Stetinensia1898-01982025-06-0125118020010.2478/foli-2025-0009Spatial Autocorrelation of the Gender Pay Gap Indicator Across the Macroregions of the European UnionMatuszewska-Janica Aleksandra0Warsaw University of Life SciencesThe unadjusted gender pay gap (GPG) is one of the indicators that measure progress towards SDG5. There is considerable variability in the values of this indicator among the individual countries and regions of the EU. However, due to the effects resulting from the neighbouring economies’ interactions, spatial autocorrelation (SA) should be taken into account when analysing these indicators, especially at the regional level.https://doi.org/10.2478/foli-2025-0009gender pay gapsdg 5european unionregionsspatial autocorrelationj31 |
| spellingShingle | Matuszewska-Janica Aleksandra Spatial Autocorrelation of the Gender Pay Gap Indicator Across the Macroregions of the European Union Folia Oeconomica Stetinensia gender pay gap sdg 5 european union regions spatial autocorrelation j31 |
| title | Spatial Autocorrelation of the Gender Pay Gap Indicator Across the Macroregions of the European Union |
| title_full | Spatial Autocorrelation of the Gender Pay Gap Indicator Across the Macroregions of the European Union |
| title_fullStr | Spatial Autocorrelation of the Gender Pay Gap Indicator Across the Macroregions of the European Union |
| title_full_unstemmed | Spatial Autocorrelation of the Gender Pay Gap Indicator Across the Macroregions of the European Union |
| title_short | Spatial Autocorrelation of the Gender Pay Gap Indicator Across the Macroregions of the European Union |
| title_sort | spatial autocorrelation of the gender pay gap indicator across the macroregions of the european union |
| topic | gender pay gap sdg 5 european union regions spatial autocorrelation j31 |
| url | https://doi.org/10.2478/foli-2025-0009 |
| work_keys_str_mv | AT matuszewskajanicaaleksandra spatialautocorrelationofthegenderpaygapindicatoracrossthemacroregionsoftheeuropeanunion |