IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v171y2024i1d10.1007_s11205-023-03246-y.html
   My bibliography  Save this article

The Geography of Multi-dimensional Poverty in France

Author

Listed:
  • Milenko Fadic

    (OECD)

  • Fabrice Murtin

    (OECD)

Abstract

This paper describes the geography of multi-dimensional poverty across French communes in 2017. We build an extended data set documenting 7 key dimensions of well-being (income, unemployment, housing, education, civic engagement, life expectancy and air quality) in about 35,000 communes. Life expectancy at commune-level is obtained from an original small-area estimation method combining commune and department-level data. We derive an index of multi-dimensional poverty to provide an unprecedented degree of granularity in the description of spatial inequality and poverty in France. The results show that joint deprivation in at least 5 dimensions of well-being is starkly concentrated among 316 communes, representing as much as 5.2 million inhabitants (7.7% of the French population). About 70% of these people are also in extreme poverty, which suggests that the concepts of multi-dimensional poverty and extreme income poverty significantly overlap.

Suggested Citation

  • Milenko Fadic & Fabrice Murtin, 2024. "The Geography of Multi-dimensional Poverty in France," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 171(1), pages 259-275, January.
    • Handle: RePEc:spr:soinre:v:171:y:2024:i:1:d:10.1007_s11205-023-03246-y
    DOI: 10.1007/s11205-023-03246-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-023-03246-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11205-023-03246-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alexander Mackie & Ivan Haščič & Miguel Cárdenas Rodríguez, 2016. "Population Exposure to Fine Particles: Methodology and Results for OECD and G20 Countries," OECD Green Growth Papers 2016/2, OECD Publishing.
    2. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
    3. Sabina Alkire, Selim Jahan, 2018. "The New Global MPI 2018: Aligning with the Sustainable Development Goals," OPHI Working Papers 121, Queen Elizabeth House, University of Oxford.
    4. Antonella Ferrara & Rosanna Nisticò, 2015. "Regional well-being indicators and dispersion from a multidimensional perspective: evidence from Italy," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(2), pages 373-420, December.
    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. Dika, Galgalo & Tolossa, Degefa & Eyana, Shiferaw Muleta, 2021. "Multidimensional poverty of pastoralists and implications for policy in Boorana rangeland system, Southern Ethiopia," World Development Perspectives, Elsevier, vol. 21(C).
    2. Muhammad Asef Shaiq & Ali Akbar Barati & Khalil Kalantari & Ali Asadi, 2022. "Dimensions of Poverty in Kunduz Province of Afghanistan," World, MDPI, vol. 3(4), pages 1-14, November.
    3. Migbaru Alamirew Workneh, 2020. "Nonmonetary poverty in Ethiopia: Multidimensional approach," Poverty & Public Policy, John Wiley & Sons, vol. 12(4), pages 326-356, December.
    4. Carlos Gayán‐Navarro & Marcos Sanso‐Navarro & Fernando Sanz‐Gracia, 2020. "An assessment of poverty determinants in U.S. census tracts, 1970–2010," Growth and Change, Wiley Blackwell, vol. 51(3), pages 977-999, September.
    5. Kateryna Tkach & Chiara Gigliarano, 2022. "Multidimensional Poverty Index with Dependence-Based Weights," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 843-872, June.
    6. Bray, Rachel & de Laat, Marianne & Godinot, Xavier & Ugarte, Alberto & Walker, Robert, 2020. "Realising poverty in all its dimensions: A six-country participatory study," World Development, Elsevier, vol. 134(C).
    7. El Azami Hicham & Xia Qingjie, 2024. "Static and Dynamic Comparison of Monetary and Non-monetary Multidimensional Poverty: Evidence from Morocco (Article)," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 63(2), pages 161-184.
    8. Alessandro Carraro & Yekaterina Chzhen, 2024. "Multidimensional Child Poverty Measurement in Sierra Leone and Lao PDR: Contrasting Individual- and Household-Based Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 175(2), pages 423-443, November.
    9. Yohannes Mare & Yishak Gecho & Melkamu Mada, 2022. "Assessment of multidimensional rural poverty in Burji and Konso area, Southern Ethiopia," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 69(1), pages 49-69, March.
    10. Cho, Wonki Jo, 2022. "How to add apples and oranges: Aggregating performances of different nature," Games and Economic Behavior, Elsevier, vol. 131(C), pages 222-244.
    11. Chakravarty, Satya R. & Deutsch, Joseph & Silber, Jacques, 2008. "On the Watts Multidimensional Poverty Index and its Decomposition," World Development, Elsevier, vol. 36(6), pages 1067-1077, June.
    12. Merz, Joachim & Rathjen, Tim, 2011. "Intensity of Time and Income Interdependent Multidimensional Poverty: Well-Being and Minimum 2DGAP – German Evidence," IZA Discussion Papers 6022, Institute of Labor Economics (IZA).
    13. Channing Arndt & Azhar M. Hussain & Vincenzo Salvucci & Finn Tarp & Lars Peter Østerdal, 2016. "Poverty Mapping Based on First‐Order Dominance with an Example from Mozambique," Journal of International Development, John Wiley & Sons, Ltd., vol. 28(1), pages 3-21, January.
    14. Belhadj, Besma & Limam, Mohamed, 2012. "Unidimensional and multidimensional fuzzy poverty measures: New approach," Economic Modelling, Elsevier, vol. 29(4), pages 995-1002.
    15. Sieds, 2011. "Complete Volume LXV n.1 2011," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 65(1), pages 1-181.
    16. Chattopadhyay, Amit K. & Mallick, Sushanta K., 2007. "Income distribution dependence of poverty measure: A theoretical analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 241-252.
    17. Sabina Alkire & Maria Emma Santos, 2010. "Acute Multidimensional Poverty: A New Index for Developing Countries," Human Development Research Papers (2009 to present) HDRP-2010-11, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
    18. Alkire, Sabina & Santos, Maria Emma, 2014. "Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index," World Development, Elsevier, vol. 59(C), pages 251-274.
    19. Thibault Gajdos & John Weymark, 2005. "Multidimensional generalized Gini indices," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 26(3), pages 471-496, October.
    20. Chris De Neubourg & Jingqing Chai & Marlous de Milliano & Ilze Plavgo, 2013. "Step-by-Step Guidelines to the Multiple Overlapping Deprivation Analysis (MODA)," Papers inwopa695, Innocenti Working Papers.

    More about this item

    Keywords

    Well-being; Poverty; Spatial inequality; Multi-dimensional inequality;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

    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:spr:soinre:v:171:y:2024:i:1:d:10.1007_s11205-023-03246-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.