IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-03726821.html
   My bibliography  Save this paper

Multidimensional poverty and inequalities in the Democratic republic of Congo
[Pauvreté multidimensionnelle et inégalités en République Démocratique du Congo]

Author

Listed:
  • Jireh Nlomba Bungudi

    (UPC - Université protestante au Congo)

Abstract

This working paper proposes to examine the questions of poverty in the specific contexte of the DRC and in this dynamic, 2 techniques allowing the dissection of the poverty in its multiple dimensions have been used : The Alkir&Foster techniques and that of fuzzy sets, in order to determine the characteristics of poor households, the causes and the scope (incidence, intensity and depth) of that poverty. The author has looked at the singularity of the DRC by proposing an archetype of indicators that is able to build a poverty index that best embodies the particularity of this region. It also brings in the notion of inequalities in order to broaden the sphere of réflexion around this phenomenon.

Suggested Citation

  • Jireh Nlomba Bungudi, 2022. "Multidimensional poverty and inequalities in the Democratic republic of Congo [Pauvreté multidimensionnelle et inégalités en République Démocratique du Congo]," Working Papers hal-03726821, HAL.
    • Handle: RePEc:hal:wpaper:hal-03726821
    Note: View the original document on HAL open archive server: https://hal.science/hal-03726821
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03726821/document
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Inequalities; Fuzzy Sets Theory; Alkir&Foster Index. Classification JEL : C14; Multidimensional poverty; Pauvreté Multidimensionnelle; Inégalités; Théorie des Ensembles Flous; Indice Alkir&Foster Multidimensional poverty;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    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:hal:wpaper:hal-03726821. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.