IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i4p1760-d494699.html
   My bibliography  Save this article

What Will Retirement Pensions Be Like? Analysis of Spanish Future Pensioner Households in Terms of Poverty

Author

Listed:
  • Blanca Urbano

    (Faculty of Business, Finance and Tourism, University of Extremadura, 10003 Cáceres, Spain)

  • Antonio Jurado

    (Department of Economics, School of Technology, University of Extremadura, 10003 Cáceres, Spain)

  • Beatriz Rosado-Cebrián

    (Department of Financial Economy and Accountancy, School of Technology, University of Extremadura, 10003 Cáceres, Spain)

Abstract

The Spanish public retirement pension system, the same as that of many European countries, faces two important risks in the long term. On the one hand, the sustainability of the current pay-as-you-go system and, on the other hand, the ability to maintain an acceptable standard of living for the retired population. This paper presents a study on the current situation of the Spanish public retirement pension system and its effect on the future retired population. In recent years, the concern for the long-term sustainability of the system, which is based on pay-as-you-go and defined benefit, has been very present. For this reason, two major reforms were carried out in 2011 and 2013; however, different investigations have indicated the reduction in future retirement pensions as a possible consequence. Regarding this dilemma, this paper aims to study the future poverty risk of the retired population due to the current formulation of the system, by conducting, for this purpose, an analysis of the purchasing power of future pensioners based on the EU-Statistics on Income and Living Conditions (SILC) 2016 of the National Institute of Statistics of Spain. As a result, a future reduction in the replacement rate was observed, affecting the younger population to a greater extent, as well as an increase in poverty in pensioner households using two different scenarios.

Suggested Citation

  • Blanca Urbano & Antonio Jurado & Beatriz Rosado-Cebrián, 2021. "What Will Retirement Pensions Be Like? Analysis of Spanish Future Pensioner Households in Terms of Poverty," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1760-:d:494699
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/4/1760/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/4/1760/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ravallion, Martin, 2016. "The Economics of Poverty: History, Measurement, and Policy," OUP Catalogue, Oxford University Press, number 9780190212773.
    2. Ángel de la Fuente & Miguel Ángel García Díaz & Alfonso R. Sánchez, 2017. "La salud financiera del sistema público de pensiones español. Análisis retrospectivo, proyecciones de largo plazo y factores de riesgo," Studies on the Spanish Economy eee2017-04, FEDEA.
    3. J. Ignacio Conde-Ruiz, 2017. "Medidas para restaurar (o no) la sostenibilidad financiera de las pensiones," Policy Papers 2017-04, FEDEA.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Josa-Fombellida, Ricardo & López-Casado, Paula, 2023. "A defined benefit pension plan game with Brownian and Poisson jumps uncertainty," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1294-1311.

    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. Angela Daley & Thesia I. Garner & Shelley Phipps & Eva Sierminska, 2020. "Differences across Place and Time in Household Expenditure Patterns: Implications for the Estimation of Equivalence Scales," Economic Working Papers 520, Bureau of Labor Statistics.
    2. Tomáš Želinský & Martina Mysíková & Thesia I. Garner, 2022. "Trends in Subjective Income Poverty Rates in the European Union," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(5), pages 2493-2516, October.
    3. Ravallion, Martin, 2019. "Global inequality when unequal countries create unequal people," European Economic Review, Elsevier, vol. 111(C), pages 85-97.
    4. Gustafsson, Björn Anders & Sai, Ding, 2019. "Growing into Relative Income Poverty: Urban China 1988 to 2013," IZA Discussion Papers 12422, Institute of Labor Economics (IZA).
    5. Brown, Caitlin & Ravallion, Martin & van de Walle, Dominique, 2018. "A poor means test? Econometric targeting in Africa," Journal of Development Economics, Elsevier, vol. 134(C), pages 109-124.
    6. Chen, Shaohua & Ravallion, Martin, 2021. "Reconciling the conflicting narratives on poverty in China," Journal of Development Economics, Elsevier, vol. 153(C).
    7. Lidia Ceriani & Sergio Olivieri & Marco Ranzani, 2023. "Housing, imputed rent, and household welfare," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(1), pages 131-168, March.
    8. Emily Schmidt & Rachel Gilbert & Brian Holtemeyer & Kristi Mahrt, 2021. "Poverty analysis in the lowlands of Papua New Guinea underscores climate vulnerability and need for income flexibility," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(1), pages 171-191, January.
    9. Varsha S Kulkarni & Raghav Gaiha, 2018. "Beyond Piketty: a new perspective on poverty and inequality in India," Global Development Institute Working Paper Series 332018, GDI, The University of Manchester.
    10. Gaurav Datt & Martin Ravallion & Rinku Murgai, 2020. "Poverty and Growth in India over Six Decades," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 4-27, January.
    11. Julien Hanoteau, 2023. "Do foreign MNEs alleviate multidimensional poverty in developing countries?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(4), pages 719-749, December.
    12. Dang,Hai-Anh H. & Kilic,Talip & Carletto,Calogero & Abanokova,Kseniya, 2021. "Poverty Imputation in Contexts without Consumption Data : A Revisit with Further Refinements," Policy Research Working Paper Series 9838, The World Bank.
    13. Fernández A., Andrés & Jiménez Rodríguez, Ronulfo, 2021. "The incidence of poverty in Costa Rica between 1987 and 2017: stagnation or reduction?," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    14. Margitic, Juan & Ravallion, Martin, 2019. "Lifting the floor? Economic development, social protection and the developing World's poorest," Journal of Development Economics, Elsevier, vol. 139(C), pages 97-108.
    15. Gibson, John & Datt, Gaurav & Murgai, Rinku & Ravallion, Martin, 2017. "For India’s Rural Poor, Growing Towns Matter More Than Growing Cities," World Development, Elsevier, vol. 98(C), pages 413-429.
    16. Martin Ravallion, 2016. "Are the world’s poorest being left behind?," Journal of Economic Growth, Springer, vol. 21(2), pages 139-164, June.
    17. Arndt, Channing & Mahrt, Kristi & Hussain, M. Azhar & Tarp, Finn, 2018. "A human rights-consistent approach to multidimensional welfare measurement applied to sub-Saharan Africa," World Development, Elsevier, vol. 108(C), pages 181-196.
    18. Hai-Anh H. Dang & Peter F. Lanjouw, 2023. "Regression-based imputation for poverty measurement in data-scarce settings," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 13, pages 141-150, Edward Elgar Publishing.
    19. Kym Anderson, 2021. "Food policy in a more volatile climate and trade environment," Departmental Working Papers 2021-25, The Australian National University, Arndt-Corden Department of Economics.
    20. Kanbur, Ravi & Christiaensen, Luc & De Weerdt, Joachim, 2017. "Cities, Towns, and Poverty: Migration Equilibrium and Income Distribution in a Todaro-type Model with Multiple Destinations," CEPR Discussion Papers 11994, C.E.P.R. Discussion Papers.

    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:13:y:2021:i:4:p:1760-:d:494699. 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.