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Benchmarking and tourism efficiency in France

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  • Corne, Aurélie

Abstract

The purpose of this note is to improve our understanding of the French tourism paradox. A technical efficiency analysis of the French hospitality sector is carried out that includes different categories of hotels – mid-price, economy and budget. A hierarchical category Data Envelopment Analysis (DEA) model is employed to take account of the heterogeneity across the categories. Several research hypotheses are tested with regard to the location and category of the hotels. The results show that Paris is the benchmark and budget hotels are more efficient than other categories.

Suggested Citation

  • Corne, Aurélie, 2015. "Benchmarking and tourism efficiency in France," Tourism Management, Elsevier, vol. 51(C), pages 91-95.
    • Handle: RePEc:eee:touman:v:51:y:2015:i:c:p:91-95
    DOI: 10.1016/j.tourman.2015.05.006
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    References listed on IDEAS

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    Cited by:

    1. Dinesh Jaisinghani & Mahesh Joshi & Jatin Goyal & Sharad Sharma, 2023. "Persistence of financial efficiency in indian hospitality and tourism industry: a dynamic panel Approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1845-1863, April.
    2. Guironnet, Jean-Pascal & Peypoch, Nicolas, 2018. "The geographical efficiency of education and research: The ranking of U.S. universities," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 44-55.
    3. Wu, Yueh-Cheng & Lin, Sheng-Wei, 2022. "Efficiency evaluation of Asia's cultural tourism using a dynamic DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    4. Dan Xue & Xianzong Li & Fayyaz Ahmad & Nabila Abid & Zulqarnain Mushtaq, 2022. "Exploring Tourism Efficiency and Its Drivers to Understand the Backwardness of the Tourism Industry in Gansu, China," IJERPH, MDPI, vol. 19(18), pages 1-15, September.
    5. Aurélie Corne & Olga Goncalves & Nicolas Peypoch, 2020. "Evaluating the performance drivers of French ski resorts: A hierarchical approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 389-405, April.
    6. Yaobin Wang & Meizhen Wang & Kongming Li & Jinhang Zhao, 2021. "Analysis of the Relationships between Tourism Efficiency and Transport Accessibility—A Case Study in Hubei Province, China," Sustainability, MDPI, vol. 13(15), pages 1-17, August.
    7. Hai Dong & Nicolas Peypoch & Linjia Zhang, 2020. "Do contextual factors matter? Evidence from Chinese hotel productivity with heterogeneity," Tourism Economics, , vol. 26(2), pages 257-275, March.
    8. Martin Flegl & Hazael Cerón-Monroy & Igor Krejčí & Josef Jablonský, 2023. "Estimating the hospitality efficiency in Mexico using Data Envelopment Analysis," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 188-216, March.
    9. 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.
    10. Zutao Deng & Yan Gao & Bin Liang & Alastair M Morrison, 2020. "Efficiency evaluation of hotel operations in Mainland China based on the superefficiency SBM model," Tourism Economics, , vol. 26(2), pages 276-298, March.
    11. Hongwei Liu & Chenchen Gao & Henry Tsai, 2024. "Spatial spillover and determinants of tourism efficiency: A low carbon emission perspective," Tourism Economics, , vol. 30(3), pages 543-566, May.
    12. Laurent Botti & Sylvain Petit & Linjia Zhang, 2020. "Strategic decision concerning tourist origins portfolio: A decision process based on the ELECTRE method and applied to French Polynesia," Tourism Economics, , vol. 26(5), pages 830-843, August.
    13. Corne, Aurélie & Peypoch, Nicolas, 2020. "On the determinants of tourism performance," Annals of Tourism Research, Elsevier, vol. 85(C).
    14. Zheng Wang & Jinhua Luo, 2024. "Evaluating the tourism green productivity and its driving factors in the context of climate change," Tourism Economics, , vol. 30(3), pages 655-679, May.
    15. Bing Xia & Suocheng Dong & Duoxun Ba & Yu Li & Fujia Li & Haimeng Liu & Zehong Li & Minyan Zhao, 2018. "Research on the Spatial Differentiation and Driving Factors of Tourism Enterprises’ Efficiency: Chinese Scenic Spots, Travel Agencies, and Hotels," Sustainability, MDPI, vol. 10(4), pages 1-22, March.
    16. 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.
    17. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.

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