IDEAS home Printed from https://ideas.repec.org/p/oec/dcdaaa/109-en.html
   My bibliography  Save this paper

Total Official Support for Sustainable Development - Data comparison study for Bangladesh, Cameroon and Colombia

Author

Listed:
  • Giorgio Gualberti
  • Sandie Xu
  • Madeleine Lessard
  • Cécile Sangaré
  • Ali Utku Dagtekin
  • Caroline Mícek
  • Julia Benn

Abstract

The TOSSD statistical framework aims to provide a complete picture of all official resources flowing into developing countries for their sustainable development, providing reliable, comparable and transparent data. This working paper compares the TOSSD data for the year 2019 with datasets collected by three countries: Bangladesh, Cameroon and Colombia. The study explores similarities and differences between the TOSSD data and the data collected at the local level, and provides recommendations on how to improve data completeness and accuracy. It also suggests how a data validation mechanism for TOSSD could work, allowing recipient countries to provide timely feedback.

Suggested Citation

  • Giorgio Gualberti & Sandie Xu & Madeleine Lessard & Cécile Sangaré & Ali Utku Dagtekin & Caroline Mícek & Julia Benn, 2022. "Total Official Support for Sustainable Development - Data comparison study for Bangladesh, Cameroon and Colombia," OECD Development Co-operation Working Papers 109, OECD Publishing.
    • Handle: RePEc:oec:dcdaaa:109-en
    DOI: 10.1787/ecec532a-en
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/ecec532a-en
    Download Restriction: no
    File URL: https://libkey.io/10.1787/ecec532a-en?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
    ---><---

    More about this item

    Keywords

    Bangladesh; Cameroon; Colombia; Data; Development finance; Financing for development; SDG; Statistics; Sustainability; TOSSD; Transparency;
    All these keywords.

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • F3 - International Economics - - International Finance
    • F35 - International Economics - - International Finance - - - Foreign Aid

    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:oec:dcdaaa:109-en. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/oecddfr.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.