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


  • Diego Sébastien LANDIVAR


  • Clément MATHONNAT


  • Ariane TICHIT

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


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

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    References listed on IDEAS

    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.
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    More about this item


    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


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