Economic Sentiment Level versus the Quality of Life in European Union Member States

Skikiewicz, Robert; Błoński, Krzysztof

doi:10.18267/j.pep.658

Cited by 8 publications

(4 citation statements)

References 20 publications

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“…Review of literature shows the diversity the definitions of the quality of life (QOL) concept. R. Skikiewicz and K. Blonski state that origins of defining, what now is referred to as "quality of life", date back to 4th century B.C., when Hippocrates (who described happiness as the form of inner balance) and Aristotle introduced concept of Eudaimonia [1]. According to M. Abrams, quality of life is "the degree of satisfaction or dissatisfaction felt by people within various aspects of their lives" [2] (p. 35).…”

Section: Introductionmentioning

confidence: 99%

Multidimensional Inventory of Students Quality of Life—MIS-QOL

2020

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An analysis of the literature on the quality of life and tools for its measurement revealed a gap in the field of research tools to study the quality of life of the so-called young adults. According to the theory of emerging adulthood, people aged 18–25 significantly differ from people of other age groups, including their self-perception. The aim of this article is to present the process of creating an inventory for multidimensional research on students’ quality of life, its structural and theoretical validity as well as reliability of the tool. Structural validity of Multidimensional Inventory of Students Quality of Life (MIS-QOL) is measured by three different indicators. Comparative fit index (CFI), PCLOSE and the root mean square error (RMSEA) show good or very good structural validity of every dimension and general score. Additionally, theoretical validity of general score measured as a correlation with commonly used questionnaires show correlation on level of 0.52 with somatic subscale of WHO, 0.631 with environmental subscale of WHO, 0.657 with Satisfaction with Life Scale (SWLS), 0.703 with psychological subscale of WHO, and 0.786 with Quality of Life Scale (QOLS). Reliability of each dimension and general score measured by Cronbach alfa and split-half coefficients are above 0.7. The multidimensional construction of MIS-QOL allows researchers to compare acquired data with international research conducted by Eurostat or the OECD.

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Section: Introductionmentioning

confidence: 99%

Multidimensional Inventory of Students Quality of Life—MIS-QOL

2020

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“…Their study considers that the countries whose inhabitants are most satisfied are Denmark (general satisfaction and education), Ireland (satisfaction with residence) and Luxembourg (public governance). In similar terms, Skikiewicz and Blonski (2018) show that the highest level of satisfaction with life is in Denmark, followed by Sweden, Finland, Belgium and the Netherlands, while the lowest satisfactions correspond to Poland, the Czech Republic and Hungary. Regarding the differences between countries, Bericat (2019) holds that the EU is not a socially homogeneous reality, but that it can clearly distinguish several groups of countries: Nordic, continental, Mediterranean, Central and Eastern Europe, and the Balkans.…”

Section: Resultsmentioning

confidence: 69%

Synthetic Indicators of Quality of Subjective Life in the EU: Rural and Urban Areas

Sánchez-Sellero¹,

García-Carro²,

Sánchez‐Sellero³

2021

Prague Economic Papers

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The aim of this paper is to develop subjective synthetic indicators that quantify the quality of life in the different countries of the EU-28, with data from the 2016 European Quality of Life Survey (EQLS). We add other indicators to the general synthetic ones in order to quantify the different dimensions of quality life due to its multidimensional nature. The successive but unchained application of the principal component analysis and the Mazziota-Pareto analysis allows us to classify 5 dimensions of quality of life: subjective component of governance, public services, environment, general satisfaction with life, and socioeconomic issues. We verify that countries with the lowest or highest positions in the general index usually keep that position in most dimensions. The spatial perspective is fundamental to study of regional development. For this reason, the next objective is the analysis of differences by spatial location using the variance analysis. The general indicator shows significant differences between EU countries but it does not show differences in the quality of life of European citizens in urban and rural areas.

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“…A study conducted on a set of 16 European Union countries proved that there is a strong or even very strong, statistically significant relationship between the overall degree of life satisfaction and consumer confidence indicator. Moreover, in general, only a slightly weaker strength of the correlation was found between satisfaction of life and economic sentiment indicators, concerning savings over the next 12 months and savings, at present (Skikiewicz & Błoński, 2018).…”

Section: Literature Reviewmentioning

confidence: 66%

Financial behaviour of households in European Union countries— similarities and differences in the 2004–2016 period

Białowąs¹,

Skikiewicz²

2022

Economic Tendency Surveys and Economic Policy - Measuring Output Gaps and Growth Potentials

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Household financial behaviour reflects preferences concerning inter-temporal choice and strongly influences the whole economy. Allocating consumption, in time, households balance their exposure to liquidity risk and modify their ability to withstand financial shocks. Consumer sentiment is the main factor summing up all the preferences that shape the decision-making processes of households. The financial services sector has been internationalised over the past few decades, gradually leading to unification of the supply and further, to the unification of the financial behaviours of households. However, even within the EU, important differences in financial behaviour can be anticipated between consumers living in various countries. The aim of the paper is to estimate the relationship between economic sentiment and the shaping of household saving rate and household debt-to-income ratio. The ESI (Economic Sentiment Indicator) was used as a measure of cyclical fluctuations in the economy. Another aim of the paper is to find similarities and differences of financial behaviour in the case of households in European Union countries. We find that country segments are highly interpretable. Our conclusions feature implications, both academic and managerial, and directions for future research. The data used in analysis stem from Eurostat and the European Commission. The analyses cover only 19 of the European Union countries due to the limited availability of data for some countries. Analyses include the 2004–2020 period. We used the following statistical methods for analysis: correlation analysis, Ward method and ANOVA.

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Economic Sentiment Level versus the Quality of Life in European Union Member States

Cited by 8 publications

References 20 publications

Multidimensional Inventory of Students Quality of Life—MIS-QOL

Multidimensional Inventory of Students Quality of Life—MIS-QOL

Synthetic Indicators of Quality of Subjective Life in the EU: Rural and Urban Areas

Financial behaviour of households in European Union countries— similarities and differences in the 2004–2016 period

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