IDEAS home Printed from https://ideas.repec.org/a/ids/gbusec/v18y2016i3-4p445-468.html
   My bibliography  Save this article

A comparative analysis in the EU shadow economy using a DEA model

Author

Listed:
  • Claudio Quintano
  • Paolo Mazzocchi

Abstract

The idea of this study is to employ the data envelopment analysis (DEA) to assess the relative efficiency of 32 European countries in order to compare their performances while dealing with the shadow economy (SE). To statistically validate the model, the DEA refers to the results obtained by performing a structural equation model (SEM) partial least squares (PLS) approach. The authors adopt an input-minimisation orientation based on the assumption that, during the considered period, the policy interventions are able to focus strategically on the dimensions used to estimate the SEM-PLS model. The non-parametric frontier can be used to interpret the taxation and regulation differentials in the countries considered and the results can be interpreted in terms of encouraging the interventions when referring to the indicators proposed in the model.

Suggested Citation

  • Claudio Quintano & Paolo Mazzocchi, 2016. "A comparative analysis in the EU shadow economy using a DEA model," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 18(3/4), pages 445-468.
  • Handle: RePEc:ids:gbusec:v:18:y:2016:i:3/4:p:445-468
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=76255
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:ids:gbusec:v:18:y:2016:i:3/4:p:445-468. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=168 .

    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.