IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i11p5705-d1959832.html

Eurozone’s Tourism Eco-Efficiency Trajectories, Productivity Change, and Renewable Dynamics: Evidence from a Slack-Based DEA Approach

Author

Listed:
  • George Ekonomou

    (Department of Planning and Regional Development, University of Thessaly, 38334 Volos, Greece)

  • Dimitris Kallioras

    (Department of Planning and Regional Development, University of Thessaly, 38334 Volos, Greece)

Abstract

This study implements a Data Envelopment Analysis (DEA) under both input- and output-orientation specifications to measure tourism technical eco-efficiencies and changes in total factor productivity for Eurozone countries from 1996 to 2019. Instead of employing hotel-specific measures or traditional proxies like length of stay or occupancy rate, this study relies on the heterogeneous nature of tourism, namely business and leisure tourism spending, distinguishing between international and domestic visits. Despite their significance for capturing the macroeconomic dynamics of tourism and interactions with the environment, this set of variables is rarely reported in the relevant literature. Efficiency and productivity scores are subsequently examined within a panel regression framework to evaluate the role of renewable energy adoption. The slack analysis reveals input excess and desirable output shortfalls, indicating structural inefficiencies in resource allocation and production performance. Regression findings suggest that the impact of renewables on tourism efficiency and productivity is regime-dependent, while panel causality tests evidence the neutrality hypothesis. The results underscore the need to improve air quality, resource allocation mechanisms, enhance sustainable sector-specific productivity strategies, and accelerate renewable transition policies.

Suggested Citation

  • George Ekonomou & Dimitris Kallioras, 2026. "Eurozone’s Tourism Eco-Efficiency Trajectories, Productivity Change, and Renewable Dynamics: Evidence from a Slack-Based DEA Approach," Sustainability, MDPI, vol. 18(11), pages 1-25, June.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:11:p:5705-:d:1959832
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/11/5705/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/11/5705/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jsusta:v:18:y:2026:i:11:p:5705-:d:1959832. 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: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    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.