Cee Labour Markets – Homogeneity or Diversity?

Rollnik-Sadowska, Ewa; Jarocka, Marta

doi:10.3846/tede.2021.15014

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…Analysis with the use of multidimensional scaling [77] indicates that, even with the different set of variables, the same countries (Denmark, Germany, The Netherlands, Finland, Sweden, Czechia, or Estonia) are among the best and the same (Greece, Italy, Spain, or Croatia) are classified as the worst (of course, these data refer to a similar period-2018-2019). Rollnik-Sadowska and Jarocka [79] perform similar analysis for year 2019 for Central European and Eastern (CEE) countries. Our results confirm their research-Czechia, Estonia, and Poland are among the countries with the best situation in their labour markets, while Bulgaria, Croatia, Romania, and Slovakia are among the countries with the worst situation in their labour markets.…”

Section: Discussionmentioning

confidence: 97%

Assessment of the Similarity of the Situation in the EU Labour Markets and Their Changes in the Face of the COVID-19 Pandemic

Bieszk‐Stolorz

Dmytrów

2022

Sustainability

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The aim of the study is to assess the similarity of the situation in the EU labour markets and their evolution using selected indicators in the period before and during the COVID-19 pandemic. The benchmark are the countries that most closely meet the Sustainable Development Goals related to the labour market. We use quarterly data from Eurostat presenting the basic indicators of the labour market: unemployment, employment, and activity rates. We analyse all indicators for the total population, young people, and people aged 55+. We assess the similarity of the situation using the TOPSIS method and similarity of changes by means of the Dynamic Time Warping. We obtain homogeneous groups of countries due to similarity of time series using hierarchical clustering. We conduct the analysis in two periods: the years 2018 and 2019 (pre-pandemic period) and from the beginning of 2020 to the present (pandemic period). The composition of the clusters in the pre-pandemic and pandemic periods is different. The impact of the COVID-19 pandemic on the situation in the labour market can be noted. This is a result of different degree of development of labour markets, which had an impact on coping with the effects of the crisis caused by the pandemic.

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Section: Discussionmentioning

confidence: 97%

Assessment of the Similarity of the Situation in the EU Labour Markets and Their Changes in the Face of the COVID-19 Pandemic

Bieszk‐Stolorz

Dmytrów

2022

Sustainability

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“…In studies on the implementation of sustainable development (p. 65, [123]) and Smart City solutions [124], the Czech Republic is the leader among the V4 group (p. 31, [125]). Its success could be explained by the efficient deployment of e-governance [126][127][128][129][130], socio-economic potential [131], the condition of the labor market [132] and its openness to economic immigrants [133,134]. The quality of health care was also important (p. 142, [135]) and [136].…”

Section: Discussionmentioning

confidence: 99%

How Smart Are V4 Cities? Evidence from the Multidimensional Analysis

Janusz

Kowalczyk

2022

Sustainability

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The article presents findings from the multidimensional comparative study focusing on the implementation of the Smart City concept in selected cities of the Visegrad Group (V4). V4 has been established by its member states (Poland, Slovakia, Czech Republic and Hungary) in a joint effort to break from the communist past and develop the common democratic values of the European Community. Aforementioned efforts involved meeting other important goals, such as socio-economic convergence processes including reaching better living conditions for V4 citizens. At present, strategies that aim to improve the wellbeing of citizens are manifested by Smart City concepts and are being implemented in V4 cities. The main research task in this article is to answer the question regarding regional (state) divergence in Smart City implementation in selected cities. The results of the study show that the best Smart City implementation scores are shared by Czech Republic towns. Polish cities (Kielce, Rzeszów, Lublin) located in the eastern regions of the country (which are also eastern border regions of the European Union) have the worst Smart City implementation scores, according to the value of the synthetic measure.

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The Efficiency of Labor Market Policies in EU Countries

Rollnik‑Sadowska,

Bartkutė‑Norkūnienė

2024

CER

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The objective of this paper is to examine the efficiency of the public sector when it comes to labor market policy (LMP) in European Union (EU) countries. The primary aim is to provide a comprehensive evaluation of public services connected with the LMP from the viewpoint of the efficiency of public expenditure allocated for that purpose. The turning point for the European labor market was marked by the introduction of lockdown in 2020 due to the COVID–19 pandemic. The article’s overall aim is to evaluate the efficiency of EU labor markets before and during the pandemic and to ascertain the extent to which the volume of public services (their financial allocations) affects selected labor market indicators. The efficiency of EU countries in 2019 and 2020 was evaluated by applying the Data Envelopment Analysis (DEA) method. The BCC (Banker, Charnes, Cooper) model was used in this study. The output‑oriented BCC model was selected as it seems adaptable to the specifics of the LMP. Microsoft Excel Solver was used for solving the DEA model, which is applied to working out linear optimization models. The efficiency of public expenditure was evaluated using data from Eurostat. A total of seven variables were used for the analysis; they comprised five variables as inputs (government expenditure on services by selected function and two uncontrolled inputs represented by job vacancy rate and GDP per capita) and two variables as outputs of selected labor market indicators (employment rate and unemployment rate <inverted indicator>). The cross‑country comparison was conducted in two dimensions – among individual EU countries and among a group of countries that represent different public administration traditions (i.e., Anglo‑Saxon, Continental European, South European, Scandinavian, Eastern European, and South‑Eastern European). The study demonstrates that even though the Southern countries achieved the worst results in terms of labor market indicators, it is in contrast to the efficiency approach using DEA, where countries such as Portugal and Greece achieved full efficiency for both 2019 and 2020. The efficiency approach of the LMP for 2019 and 2020 indicates that there is a very good situation in Central and Eastern European countries. Full efficiency is also achieved by Cyprus, Malta, Sweden and Germany. The least efficient LMP is found in Belgium. During the pandemic, most of the analyzed groups of countries improved their efficiency scores of public expenditure on LMP. The exceptions were groups of countries with the South European tradition and the Scandinavian tradition, where the measure of efficiency decreased slightly. This may demonstrate the effectiveness of the implemented public policy to counteract the negative effects of COVID–19 on the labor market. The value added of this paper comes from the demonstration that the proposed methodology, using the DEA method, can be used to measure the efficiency of LMP at micro‑ and mezzo‑levels and to make cross‑country comparisons.

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Cee Labour Markets – Homogeneity or Diversity?

Cited by 5 publications

References 25 publications

Assessment of the Similarity of the Situation in the EU Labour Markets and Their Changes in the Face of the COVID-19 Pandemic

Assessment of the Similarity of the Situation in the EU Labour Markets and Their Changes in the Face of the COVID-19 Pandemic

How Smart Are V4 Cities? Evidence from the Multidimensional Analysis

The Efficiency of Labor Market Policies in EU Countries

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