IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i5p2124-d1351030.html
   My bibliography  Save this article

Panel Data Analysis of Subjective Well-Being in European Countries in the Years 2013–2022

Author

Listed:
  • Marta Dziechciarz

    (Department of Econometrics and Operations Research, Wroclaw University of Economics and Business, 53-345 Wroclaw, Poland)

Abstract

The background of the study is the analysis of social expenditure efficiency in European countries over time. Terminological considerations leading from hedonism and eudaimonism to the concept of subjectively perceived well-being and the Easterlin paradox are necessary to understand the differences in changes in the level of well-being among countries and over time. The purpose of the study is to analyse citizens’ declarations on subjective well-being as an indicator of the efficiency of social policy. The methods used for statistical analysis are conventional and dynamic data envelopment analysis (DEA) techniques. The EU-SILC and OurWorldInData.org data analysed with DEA provided the main results. The study identified significant fluctuations in subjective well-being, with a clear long-term upward trend. Among the surveyed countries, there are those where progress is due to internal factors, while in the Mediterranean countries, external factors predominate. The level of the estimated DEA efficiency indicators (TC and EC) indicate the improvement in input efficiency in a substantive number of countries, e.g., Estonia and Cyprus, along with persistently low indicator values in some member states, Italy and Luxemburg. In conclusion, the author indicated areas in individual countries where attempts to improve social policy are needed to raise and maintain desirable levels of subjective well-being.

Suggested Citation

  • Marta Dziechciarz, 2024. "Panel Data Analysis of Subjective Well-Being in European Countries in the Years 2013–2022," Sustainability, MDPI, vol. 16(5), pages 1-22, March.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:2124-:d:1351030
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/5/2124/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/5/2124/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ablam Estel Apeti & Bao-We-Wal Bambe & Aguima Aime Bernard Lompo, 2023. "Determinants of public sector efficiency: a panel database from a stochastic frontier analysis," Post-Print hal-04189811, HAL.
    2. Finn Førsund & Nikias Sarafoglou, 2002. "On the Origins of Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 23-40, January.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    5. Livia Baciu & Alina Botezat, 2014. "A Comparative Analysis of the Public Spending Efficiency of the New EU Member States: A DEA Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(S4), pages 31-46.
    6. Andrew E. Clark & Paul Frijters & Michael A. Shields, 2008. "Relative Income, Happiness, and Utility: An Explanation for the Easterlin Paradox and Other Puzzles," Journal of Economic Literature, American Economic Association, vol. 46(1), pages 95-144, March.
    7. Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), 2022. "Handbook of Production Economics," Springer Books, Springer, number 978-981-10-3455-8, September.
    8. Brzezicki, Łukasz, 2020. "The Efficiency of Public and Private Higher Education Institutions in Poland," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2020(4), December.
    9. S. Ghobadi & G. R. Jahanshahloo & F. Hosseinzadeh Lotfi & M. Rostamy-Malkhalifeh, 2018. "Efficiency Measure Under Inter-Temporal Dependence," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 657-675, March.
    10. Roma Debnath & Ravi Shankar, 2014. "Does Good Governance Enhance Happiness: A Cross Nation Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 235-253, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Forsund, Finn R. & Sarafoglou, Nikias, 2005. "The tale of two research communities: The diffusion of research on productive efficiency," International Journal of Production Economics, Elsevier, vol. 98(1), pages 17-40, October.
    2. Finn Førsund, 2013. "Weight restrictions in DEA: misplaced emphasis?," Journal of Productivity Analysis, Springer, vol. 40(3), pages 271-283, December.
    3. Tumaniants, Karen A. (Туманянц, Карэн) & Sesina, Julia E. (Сесина, Юлия), 2017. "Social Expenditures of Russian Regions in Terms of “Input-Output” [Расходы На Социальную Политику Российских Регионов В Координатах «Затраты — Результат»]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 128-149, October.
    4. Thijs Raa, 2008. "Debreu’s coefficient of resource utilization, the Solow residual, and TFP: the connection by Leontief preferences," Journal of Productivity Analysis, Springer, vol. 30(3), pages 191-199, December.
    5. Cordero, José Manuel & Salinas-Jiménez, Javier & Salinas-Jiménez, M Mar, 2017. "Exploring factors affecting the level of happiness across countries: A conditional robust nonparametric frontier analysis," European Journal of Operational Research, Elsevier, vol. 256(2), pages 663-672.
    6. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    7. Marinko Škare & Danijela Rabar, 2016. "Measuring Economic Growth Using Data Envelopment Analysis," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 18(42), pages 386-386, May.
    8. Valentin Zelenyuk, 2019. "Data Envelopment Analysis and Business Analytics: The Big Data Challenges and Some Solutions," CEPA Working Papers Series WP072019, School of Economics, University of Queensland, Australia.
    9. F R Førsund & L Hjalmarsson, 2004. "Calculating scale elasticity in DEA models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1023-1038, October.
    10. Mariano, Enzo Barberio & Sobreiro, Vinicius Amorim & Rebelatto, Daisy Aparecida do Nascimento, 2015. "Human development and data envelopment analysis: A structured literature review," Omega, Elsevier, vol. 54(C), pages 33-49.
    11. Zelenyuk, Valentin, 2020. "Aggregation of inputs and outputs prior to Data Envelopment Analysis under big data," European Journal of Operational Research, Elsevier, vol. 282(1), pages 172-187.
    12. Suhyeon Han & Shinyoung Park & Sejin An & Wonjun Choi & Mina Lee, 2023. "Research on Analyzing the Efficiency of R&D Projects for Climate Change Response Using DEA–Malmquist," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    13. R, Sendhil & P, Ramasundaram & P, Anbukkani & Singh, Randhir & Sharma, Indu, 2015. "Trends and Determinants of Research Driven Total Factor Productivity in Indian Wheat," 2015 Conference, August 9-14, 2015, Milan, Italy 212491, International Association of Agricultural Economists.
    14. Jens J. Krüger, 2020. "Long‐run productivity trends: A global update with a global index," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1393-1412, November.
    15. Feyyaz Cengiz Dikmen, 2016. "Productivity Change: An Empirical Study on Turkish State Universities," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 4(1), pages 27-34, June.
    16. Said-Nour Samake, 2022. "Prudential Regulation and Bank Efficiency : Evidence from WAEMU Zone," Working Papers hal-03540209, HAL.
    17. Pontus Mattsson & Jonas Månsson & Christian Andersson & Fredrik Bonander, 2018. "A bootstrapped Malmquist index applied to Swedish district courts," European Journal of Law and Economics, Springer, vol. 46(1), pages 109-139, August.
    18. Alexander Cotte Poveda, 2012. "Estimating Effectiveness of the Control of Violence and Socioeconomic Development in Colombia: An Application of Dynamic Data Envelopment Analysis and Data Panel Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(3), pages 343-366, February.
    19. Don U.A. Galagedera & Piyadasa Edirisuriya, 2004. "Performance of Indian commercial banks (1995-2002): an application of data envelopment analysis and Malmquist productivity index," Finance 0408006, University Library of Munich, Germany.
    20. Fadzlan Sufian & Fakarudin Kamarudin, 2014. "The impact of ownership structure on bank productivity and efficiency: Evidence from semi-parametric Malmquist Productivity Index," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-27, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:2124-:d:1351030. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.