Estimation of Gross Domestic Product in Polish Counties

Ciołek, Dorota

doi:10.33119/gn/100738

Cited by 15 publications

(9 citation statements)

References 12 publications

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“…Therefore, the GDP value is distributed among poviats adequately to the employee wage fund. The calculated product of the average gross salary in a given poviat and the number of people working there (data provided at the poviat level by Statistics Poland) determined the proportion of the GDP divided into poviats belonging to this subregion [54]. The second indicator determining the economic potential of the lignite regions is the revenue of local government units related to the operation of open-cast mines within their areas.…”

Section: Methodsmentioning

confidence: 99%

Socio-Economic Resilience of Poland’s Lignite Regions

Dmochowska-Dudek

Wójcik

2022

Energies

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The article is seeking to analyse the coal transition in three Polish lignite regions as part of the scientific discussion on a just transition, which is a big challenge, especially in the regions and countries dependent on their own coal deposits as the main source of energy. Polish lignite mines are now entering the phase-out of coal, which results from implementing the assumptions of the Green Deal and the Paris climate agreement. The article answers the following question: what is the socio-economic resilience of coal regions in the context of the projected closure of mines in the coming years? The empirical analyses are based on secondary statistical data. The analysis and comparison of basic statistical data, i.e., the level of employment and lignite extraction in three lignite regions in the period from the end of the Second World War to 2017, allowed the authors to determine the phases of the adaptive cycle in which the individual regions are. In the second part of the study, the indicator evaluation method was used in order to calculate the Socio-Economic Resilience Index for individual areas (poviats) included in the coal regions, which made it possible to assess the current resilience and its intra-regional differentiation. The obtained results, which indicate that the regions under analysis are in different phases of the adaptive cycle and reveal their territorial heterogeneity, allow us to assume that the possibilities of a just energy transition of regions depend on the diversity of local conditions and resources, emphasising at the same time the territorial dimension of the issue of the energy transition.

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Section: Methodsmentioning

confidence: 99%

Socio-Economic Resilience of Poland’s Lignite Regions

Dmochowska-Dudek

Wójcik

2022

Energies

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“…5 She used the shares of municipality tax revenues from income tax and agricultural tax to estimate the values of GDP in the Polish poviats during 2003-2017 (to read more about methodology, see Ciołek, 2017). The data were updated up to 2018.…”

Section: Orcidmentioning

confidence: 99%

“…Unfortunately, no official data on GDP at the local labor market level are available, and Poland's CSO does not provide a good measure of the total value of production at this level. Thus, we use local labor market-level GDP estimates(Ciołek, 2017) 5 measured at constant 2005 prices. Population size and unemployment rate are used as proxies for the available stock of workers for local labor markets and business cycle indicators, respectively.…”

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confidence: 99%

Minimum wage and local employment: A spatial panel approach

Majchrowska

Strawiński

2021

Regional Science Policy & Practice

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This study analyzes spatial dependencies in the relationship between employment and minimum wage. Local employment may be affected not only by changes relative minimum wage in a region but also by those in neighboring regions. We use the spatial Durbin model and data for 380 local Polish labor markets during 2006-2018. The results reveal significant heterogeneities in the model, showing a significant spatial relationship between local employment and the minimum-to-average-wage ratio in neighboring regions. Local minimum wage effects, insignifi-cant at the beginning of the analyzed period, become significant and negative. These results may not be observed without a spatial model framework and are important for minimum-wage policymakers. Our results suggest that, in countries with strong differences in average wage level between regions, the minimum wage can be differentiated at the local labor market level to avoid large differences in the minimum-to-average-wage ratio.

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“…There are 380 powiats in Poland. The powiat level variables include: GDP per capita (first calculated in Ciolek, 2017), as well as GDP growth, the registered unemployed as a share of the working-age population in the region by gender and an indicator variable for childcare, which measures the number of places in preschool education establishments per one child 3-5 years old. The reason for including these variables is the following.…”

Section: Sample and Dependent Variablementioning

confidence: 99%