IDEAS home Printed from
   My bibliography  Save this paper

How efficient is the Italian hospitality sector? A window DEA and truncated-Tobit analysis


  • JG. Brida
  • C. Detotto


  • M. Pulina



This paper analyses the Italian regional efficiency of the hospitality sector using a data envelopment analysis (DEA), for the time span 2000-2004. Via a window DEA, pure technical efficiency is computed. The Lombardy region presents the best relative performance. Overall Italian regions denote important sources of inefficiency mostly related to their inputs. Via a truncated-Tobit analysis, the rate of utilisation and regional intrinsic features positively are found to affect hospitality efficiency. Nevertheless, empirical evidence does not support spill-over effects amongst Italian regions.

Suggested Citation

  • JG. Brida & C. Detotto & M. Pulina, 2011. "How efficient is the Italian hospitality sector? A window DEA and truncated-Tobit analysis," Working Paper CRENoS 201102, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  • Handle: RePEc:cns:cnscwp:201102

    Download full text from publisher

    File URL:
    Download Restriction: no

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Carla Sá & Raymond Florax & Piet Rietveld, 2006. "Does Accessibility to Higher Education Matter? Choice Behaviour of High School Graduates in the Netherlands," Spatial Economic Analysis, Taylor & Francis Journals, vol. 1(2), pages 155-174.
    2. De Fraja, Gianni & Iossa, Elisabetta, 2002. "Competition among Universities and the Emergence of the Elite Institution," Bulletin of Economic Research, Wiley Blackwell, vol. 54(3), pages 275-293, July.
    3. Giorgio Brunello & Maria De Paola & Vincenzo Scoppa, 2010. "Peer Effects In Higher Education: Does The Field Of Study Matter?," Economic Inquiry, Western Economic Association International, vol. 48(3), pages 621-634, July.
    Full references (including those not matched with items on IDEAS)

    More about this item


    regional hospitality sector; window dea; double bootstrap;

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:cns:cnscwp:201102. 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: (Antonello Pau). General contact details of provider: .

    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 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.

    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.