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Assessing the productivity of the Italian hospitality sector: a post-WDEA pooled-truncated and spatial analysis

Author

Listed:
  • Claudio Detotto

    (LISA - Laboratoire « Lieux, Identités, eSpaces, Activités » (UMR CNRS 6240 LISA) - CNRS - Centre National de la Recherche Scientifique - Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli])

  • Manuela Pulina

    (UNISS - Università degli Studi di Sassari = University of Sassari)

  • Juan Gabriel Brida

    (UDELAR - Universidad de la República de Uruguay = University of the Republic of Uruguay [Montevideo])

Abstract

This paper analyses the productivity of the hospitality sector (hotel and restaurants) in Italy at a regional level by using a mix of non-parametric and parametric approaches. A novel pooled-truncated and spatial analysis is employed, based upon a window data envelopment analysis (WDEA), where pure technical efficiency is computed. The WDEA results show that Lombardy is the best relative performer. However, overall Italian regions reveal important sources of inefficiency mostly related to their inputs. As a post-WDEA, the pooled-truncated estimation indicates that the rate of utilisation and regional intrinsic features positively affect hospitality efficiency. Nevertheless, the spatial analysis does not support evidence of spill-over effects amongst Italian regions. Copyright Springer Science+Business Media New York 2014
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Claudio Detotto & Manuela Pulina & Juan Gabriel Brida, 2014. "Assessing the productivity of the Italian hospitality sector: a post-WDEA pooled-truncated and spatial analysis," Post-Print hal-01972857, HAL.
    • Handle: RePEc:hal:journl:hal-01972857
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    Cited by:

    1. Bernardina Algieri & Antonio à lvarez, 2023. "Assessing the ability of regions to attract foreign tourists: The case of Italy," Tourism Economics, , vol. 29(3), pages 788-811, May.
    2. Lucía Isabel García-Cebrián & Fabíola Zambom-Ferraresi & Fernando Lera-López, 2018. "Efficiency in European football teams using WindowDEA: analysis and evolution," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 67(9), pages 2126-2148, November.
    3. Tiziana Cuccia & Calogero Guccio & Ilde Rizzo, 2017. "UNESCO sites and performance trend of Italian regional tourism destinations," Tourism Economics, , vol. 23(2), pages 316-342, March.
    4. Cuccia, Tiziana & Guccio, Calogero & Rizzo, Ilde, 2016. "The effects of UNESCO World Heritage List inscription on tourism destinations performance in Italian regions," Economic Modelling, Elsevier, vol. 53(C), pages 494-508.
    5. De Siano, Rita & Canale, Rosaria Rita, 2022. "Controversial effects of tourism on economic growth: A spatial analysis on Italian provincial data," Land Use Policy, Elsevier, vol. 117(C).
    6. Hongwei Liu & Henry Tsai, 2018. "Total factor productivity growth and regional competitive analysis of China’s star-rated hotels," Tourism Economics, , vol. 24(6), pages 625-644, September.
    7. Maria Giovanna BRANDANO & Claudio DETOTTO & Marco VANNINI, 2019. "Comparative Efficiency Of Agricultural Cooperatives And Conventional Firms In A Sample Of Quasi‐Twin Companies," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 90(1), pages 53-76, March.
    8. Manuela Pulina & Valentina Santoni, 2018. "A two-stage DEA approach to analyse the efficiency of the hospitality sector," Tourism Economics, , vol. 24(3), pages 352-365, May.
    9. Francisca J. Sánchez-Sánchez & Ana M. Sánchez-Sánchez, 2024. "Evaluating the efficiency and determinants of mass tourism in Spain: a tourist area perspective," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(1), pages 111-145, January.
    10. Sokvibol Kea & Hua Li & Linvolak Pich, 2016. "Technical Efficiency and Its Determinants of Rice Production in Cambodia," Economies, MDPI, vol. 4(4), pages 1-17, October.
    11. Gong, Binlei, 2020. "Multi-dimensional interactions in the oilfield market: A jackknife model averaging approach of spatial productivity analysis," Energy Economics, Elsevier, vol. 86(C).

    More about this item

    JEL classification:

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

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