IDEAS home Printed from https://ideas.repec.org/p/tur/wpapnw/097.html
   My bibliography  Save this paper

Social Capital for Healthy Aging in the EU: a Regional Inequality Analysis

Author

Listed:
  • Poggi Ambra

    (Department of Economics, Social Studies, Applied Mathematics and Statistics, University of Turin, Torino, Italy)

  • Simeone Enza

    (Department of Economics, Social Studies, Applied Mathematics and Statistics, University of Turin, Torino, Italy)

Abstract

Social capital is a key factor in creating a supportive environment to healthy aging in the EU. Social capital is an individual resource embedded in one's social networks. Collective-owed regional level resources (e.g. sharing norms, institutional settings, etc.) can be mobilised by the individuals to build up their own social capital. Our aim is to investigate regional differences in the level of social capital held on average by older adults as well as the complexity of the relationship between individual social capital and regional level resources. Our analysis is twofold. First, using graphical methods and logistic nonlinear models, we investigate changes in social capital levels in specific groups of regions after the Covid-19 pandemic, changes that we interpret as the consequences of the different Covidmanagement strategies implemented in the EU regions. Second, using econometric methods, we investigate the determinants of social capital. We find that disparities in (unobserved) regional level resources explain a significant share of social capital inequality among the elderly

Suggested Citation

  • Poggi Ambra & Simeone Enza, 2025. "Social Capital for Healthy Aging in the EU: a Regional Inequality Analysis," Working papers 097, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
  • Handle: RePEc:tur:wpapnw:097
    as

    Download full text from publisher

    File URL: https://www.bemservizi.unito.it/repec/tur/wpapnw/m97.pdf
    File Function: First version, 2025
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ilya Kashnitsky & Joop De Beer & Leo Van Wissen, 2021. "Unequally ageing regions of Europe: Exploring the role of urbanization," Population Studies, Taylor & Francis Journals, vol. 75(2), pages 221-237, May.
    2. Aïda Solé-Auró & Bruno Arpino, 2024. "Gender inequalities in social club participation in Europe: the role of women’s empowerment at the country level," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(4), pages 3655-3672, August.
    3. Jenkins, Stephen P, 1996. "Recent Trends in the UK Income Distribution: What Happened and Why?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 12(1), pages 29-46, Spring.
    4. Christos Papatheodorou & Paraskevi Peristera & Anastasia Kostaki, 2004. "Kernel Density Techniques as a Tool for Estimating and Comparing Income Distributions: A Cross European–Country Study," Journal of Income Distribution, Ad libros publications inc., vol. 13(1-2), pages 2-2, March-Jun.
    5. Maria Felice Arezzo & Cristina Giudici, 2017. "Social Capital and Self Perceived Health Among European Older Adults," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(2), pages 665-685, January.
    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. Flachaire, Emmanuel & Nunez, Olivier, 2007. "Estimation of the income distribution and detection of subpopulations: An explanatory model," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3368-3380, April.
    2. Andrés Rodríguez‐Pose & Chiara Burlina, 2021. "Institutions and the uneven geography of the first wave of the COVID‐19 pandemic," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 728-752, September.
    3. Michel Fouquin & Sébastien Jean & Aude Sztulman, 2000. "Le marché du travail britannique vu de France," Économie et Statistique, Programme National Persée, vol. 332(1), pages 97-115.
    4. Olga Cant⊙, 2000. "Income Mobility In Spain: How Much Is There?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(1), pages 85-102, March.
    5. Fabio Clementi & Francesco Schettino, 2013. "Income polarization in Brazil, 2001-2011: A distributional analysis using PNAD data," Economics Bulletin, AccessEcon, vol. 33(3), pages 1796-1815.
    6. Roberto Ezcurra, 2009. "Does Income Polarization Affect Economic Growth? The Case of the European Regions," Regional Studies, Taylor & Francis Journals, vol. 43(2), pages 267-285.
    7. Lubrano, Michel & Ndoye, Abdoul Aziz Junior, 2016. "Income inequality decomposition using a finite mixture of log-normal distributions: A Bayesian approach," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 830-846.
    8. Gordon Anderson, 2003. "Poverty in America 1970-1990: who did gain ground? An application of stochastic dominance criteria employing simultaneous inequality tests in a partial panel," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 621-640.
    9. Mary C. Daly & Robert G. Valletta, 2000. "Inequality and poverty in the United States: the effects of changing family behavior and rising wage dispersion," Working Paper Series 2000-06, Federal Reserve Bank of San Francisco.
    10. Till Nikolka & Christina Boll, 2020. "Großelternbetreuung und COVID-19 [Grandparent care and COVID-19]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 100(12), pages 976-978, December.
    11. Schettino, Francesco & Khan, Haider A., 2020. "Income polarization in the USA: What happened to the middle class in the last few decades?," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 149-161.
    12. Peter Gottschalk & Timothy Smeeding, 1995. "Cross National Comparisons of Levels and Trends in Inequality," LIS Working papers 126, LIS Cross-National Data Center in Luxembourg.
    13. F. Clementi & A. L. Dabalen & V. Molini & F. Schettino, 2017. "When the Centre Cannot Hold: Patterns of Polarization in Nigeria," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 608-632, December.
    14. Zaiga Krisjane & Maris Berzins & Janis Krumins & Elina Apsite‐Berina & Sindija Balode, 2023. "Uneven geographies: ageing and population dynamics in Latvia," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(4), pages 893-908, May.
    15. Keshab Raj Bhattarai & Jonathan Haughton & David Tuerck, 2015. "Fiscal Policy, Growth and Income Distribution in the UK and the US," EcoMod2015 8607, EcoMod.
    16. Richard V. Burkhauser & Amy Crews Cutts & Mary C. Daly & Stephen P. Jenkins, 1999. "Testing the significance of income distribution changes over the 1980s business cycle: a cross‐national comparison," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 253-272, May.
    17. Huesca, Luis, 2004. "¿Desaparece la clase media en México?: Una aplicación de la polarización por subgrupos entre 1984 y 2000 [Is the middle class vanishing in Mexico?: An application of polarization by subgroups betwe," MPRA Paper 14390, University Library of Munich, Germany.
    18. Chen, Natalie & Novy, Dennis & , Perroni, Carlo & Chern Wong, Horng Chern, 2023. "Urban-Biased Structural Change," The Warwick Economics Research Paper Series (TWERPS) 1484, University of Warwick, Department of Economics.
    19. Schettino, Francesco & Gabriele, Alberto & Khan, Haider A., 2021. "Polarization and the middle class in China: A non-parametric evaluation using CHNS and CHIP data," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 251-264.
    20. Maria Iannario & Anna Clara Monti, 2023. "Generalized residuals and outlier detection for ordinal data with challenging data structures," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(4), pages 1197-1216, October.

    More about this item

    Keywords

    Social Capital; Regional Resources; Inequality; Mixed-effects Model;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D30 - Microeconomics - - Distribution - - - General
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:tur:wpapnw:097. 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: Daniele Pennesi (email available below). General contact details of provider: https://edirc.repec.org/data/dstorit.html .

    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.