IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v18y2012i3p597-606.html
   My bibliography  Save this article

Technical Efficiency Measurement and Inverse ð ”¹-Convexity: Moroccan Travel Agencies

Author

Listed:
  • Olga Goncalves
  • Qi Bin Liang
  • Nicolas Peypoch
  • Sara Sbai

Abstract

This paper uses an innovative data envelopment analysis (DEA) model, the inverse 𠔹-convex model (Briec and Liang, 2011). This approach is used to measure the technical efficiency of Moroccan travel agencies. The travel agencies are ranked according to their efficiency over the period 2006–2008. The methodology is found to provide more accurate measurements of the travel agencies' efficiency. The paper also makes methodological and managerial contributions. Technical efficiency is analysed by using the inverse 𠔹-convexity model, comparing and contrasting it with traditional DEA methods. A key advantage of such an approach is that, on the one hand, traditional convexity assumption is relaxed and, on the other hand, it underlines potential complementarities of inputs. Finally, policy implications are derived.

Suggested Citation

  • Olga Goncalves & Qi Bin Liang & Nicolas Peypoch & Sara Sbai, 2012. "Technical Efficiency Measurement and Inverse ð ”¹-Convexity: Moroccan Travel Agencies," Tourism Economics, , vol. 18(3), pages 597-606, June.
    • Handle: RePEc:sae:toueco:v:18:y:2012:i:3:p:597-606
    DOI: 10.5367/te.2012.0126
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5367/te.2012.0126
    Download Restriction: no
    File URL: https://libkey.io/10.5367/te.2012.0126?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Fuentes, Ramón, 2011. "Efficiency of travel agencies: A case study of Alicante, Spain," Tourism Management, Elsevier, vol. 32(1), pages 75-87.
    2. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Walter Briec & Kristiaan Kerstens & Ignace Van de Woestyne, 2022. "Nonconvexity in Production and Cost Functions: An Exploratory and Selective Review," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 18, pages 721-754, Springer.
    2. Oliveira, Ricardo & Pedro, Maria Isabel & Marques, Rui Cunha, 2013. "Efficiency and its determinants in Portuguese hotels in the Algarve," Tourism Management, Elsevier, vol. 36(C), pages 641-649.
    3. Yasuo Ohe, 2017. "Assessing Managerial Efficiency of Educational Tourism in Agriculture: Case of Dairy Farms in Japan," Sustainability, MDPI, vol. 9(11), pages 1-15, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. M. Deidda & N. Garrido & M. Pulina, 2011. "Exploring the dynamics of the efficiency in the Italian hospitality sector. A regional case study," Working Paper CRENoS 201117, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    2. Songsong Zhao & Tai Huang & Jianchao Xi, 2022. "Understanding the Evolution of Regional Tourism Efficiency: Through the Lens of Evolutionary Economic Geography," Sustainability, MDPI, vol. 14(17), pages 1-16, September.
    3. Huang, Chin-wei, 2018. "Assessing the performance of tourism supply chains by using the hybrid network data envelopment analysis model," Tourism Management, Elsevier, vol. 65(C), pages 303-316.
    4. Peng, Hongsong & Zhang, Jinhe & Lu, Lin & Tang, Guorong & Yan, Bingjin & Xiao, Xiao & Han, Ya, 2017. "Eco-efficiency and its determinants at a tourism destination: A case study of Huangshan National Park, China," Tourism Management, Elsevier, vol. 60(C), pages 201-211.
    5. Alberca-Oliver, Pilar & Rodríguez-Oromendía, Ainhoa & Parte-Esteban, Laura, 2015. "Measuring the efficiency of trade shows: A Spanish case study," Tourism Management, Elsevier, vol. 47(C), pages 127-137.
    6. Chris van Heerden & Melville Saayman, 2018. "Sustainability of a national arts festival," Tourism Economics, , vol. 24(5), pages 576-592, August.
    7. José M. Ramírez-Hurtado & Ignacio Contreras, 2017. "Efficiency of travel agency franchises: a study in Spain," Service Business, Springer;Pan-Pacific Business Association, vol. 11(4), pages 717-739, December.
    8. Tiziana Cuccia & Calogero Guccio & Ilde Rizzo, 2013. "Does Unesco inscription affect the performance of tourism destinations? A regional perspective," ACEI Working Paper Series AWP-04-2013, Association for Cultural Economics International, revised Oct 2013.
    9. 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.
    10. Bernardino Benito & José Solana & Pilar López, 2014. "Determinants of Spanish Regions' Tourism Performance: A Two-Stage, Double-Bootstrap Data Envelopment Analysis," Tourism Economics, , vol. 20(5), pages 987-1012, October.
    11. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    12. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    13. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    14. Ahmad, Usman, 2011. "Financial Reforms and Banking Efficiency: Case of Pakistan," MPRA Paper 34220, University Library of Munich, Germany.
    15. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    16. António Afonso & Ana Patricia Montes & José M. Domínguez, 2024. "Measuring Tax Burden Efficiency in OECD Countries: An International Comparison," CESifo Working Paper Series 11333, CESifo.
    17. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    18. Jahangoshai Rezaee, Mustafa & Jozmaleki, Mehrdad & Valipour, Mahsa, 2018. "Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 489(C), pages 78-93.
    19. Chai, Naijie & Zhou, Wenliang & Hu, Xinlei, 2022. "Safety evaluation of urban rail transit operation considering uncertainty and risk preference: A case study in China," Transport Policy, Elsevier, vol. 125(C), pages 267-288.
    20. Yande Gong & Joe Zhu & Ya Chen & Wade D. Cook, 2018. "DEA as a tool for auditing: application to Chinese manufacturing industry with parallel network structures," Annals of Operations Research, Springer, vol. 263(1), pages 247-269, April.

    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:sae:toueco:v:18:y:2012:i:3:p:597-606. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: SAGE Publications (email available below). General contact details of provider: .

    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.