IDEAS home Printed from https://ideas.repec.org/p/cdi/wpaper/1636.html
   My bibliography  Save this paper

Classification des systèmes de monnaies non-bancaires : ce que disent les données du Web

Author

Listed:
  • Diego Sébastien LANDIVAR

    ()

  • Clément MATHONNAT

    ()

  • Ariane TICHIT

    () (Centre d'Etudes et de Recherches sur le Développement International(CERDI))

Abstract

This article proposes a classification of the projects of non-banking currencies based on a lexical analysis on the Web data. The advantage of this method is to offer an endogenous typology of the initiatives, based on the way the various currencies are presented on the internet. She so allows to by-pass the difficulty met in the literature which faces troubles in bringing to the foreground a clear taxonomy from exogeneous elements. The corpus was created from 32 keywords referring to the complementary currencies. The first 10 Urls of results under the search engine Google for each of the keywords was selected, then their text contents extracted. The corpus is so constituted by 320 web pages, corresponding to 1210 pages of text and 342 585 words, that is 17 939 segments of 20 successive occurrences. A classification of the corpus by a downward hierarchical analysis endogenously creates five different classes, allowing us to operate distinctions not only between the projects of non-banking currencies, but also between these and the standard monetary system. An analysis of similarity concludes that all the currencies define themselves with regard to the conventional currency, except the local exchange trading systems (LETs).

Suggested Citation

  • Diego Sébastien LANDIVAR & Clément MATHONNAT & Ariane TICHIT, 2014. "Classification des systèmes de monnaies non-bancaires : ce que disent les données du Web," Working Papers 201425, CERDI.
  • Handle: RePEc:cdi:wpaper:1636
    as

    Download full text from publisher

    File URL: http://publi.cerdi.org/ed/2014/2014.25.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jérôme Blanc, 2011. "Classifying "CCs": Community, complementary and local currencies' types and generations," Post-Print halshs-00583587, HAL.
    2. Seyfang, Gill & Longhurst, Noel, 2013. "Growing green money? Mapping community currencies for sustainable development," Ecological Economics, Elsevier, vol. 86(C), pages 65-77.
    3. Jérôme Blanc, 2013. "Penser la pluralité des monnaies à partir de Polanyi : un essai de typologie," Post-Print halshs-00828095, HAL.
    4. Michael S Evans, 2014. "A Computational Approach to Qualitative Analysis in Large Textual Datasets," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-10, February.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Non banking money; Text mining; Web data; Downward hierarchical classification; Analysis of resemblance; IramuteQ;

    JEL classification:

    • O35 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Social Innovation

    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:cdi:wpaper:1636. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Vincent Mazenod). General contact details of provider: http://edirc.repec.org/data/ceauvfr.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.