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Tourist Accommodation Effects of Festivals

Author

Listed:
  • Brännäs, Kurt

    (Department of Economics, Umeå University)

  • Nordström, Jonas

    (Department of Economics, Umeå University)

Abstract

Lately the interest in arranging festivals or special events has increased in many cities. In this paper we present an econometric model to account for the tourism accommodation impact of such events. The autoregressive count data model incorporates some of the more important factors in the planing and evaluation of an event, such as spare capacity, displacement effects and the costs that face the visitors. The results for two large Swedish festivals indicate that there are some displacement effects, but that the net tourism effect is positive only since the average visitor stays longer during festival periods.

Suggested Citation

  • Brännäs, Kurt & Nordström, Jonas, 2002. "Tourist Accommodation Effects of Festivals," Umeå Economic Studies 580, Umeå University, Department of Economics.
    • Handle: RePEc:hhs:umnees:0580
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    References listed on IDEAS

    as
    1. Brannas Kurt & Nordstrom Jonas, 2004. "An Integer-Valued Time Series Model for Hotels that Accounts for Constrained Capacity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(4), pages 1-11, December.
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    Cited by:

    1. Getz, Donald & Page, Stephen J., 2016. "Progress and prospects for event tourism research," Tourism Management, Elsevier, vol. 52(C), pages 593-631.
    2. Zhen Su & Kun Xian & Dandan Lu & Wenhui Wang & Yinghong Zheng & Tanaporn Khotphat, 2023. "Rural Tourism Households Adapting to Seasonality: An Exploratory Sequential Mixed-Methods Study," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
    3. Gustavo Neves Lima & Ricardo Morais, 2014. "The influence of tourism seasonality on family business in peripheral regions," Working Papers de Gestão (Management Working Papers) 03, Católica Porto Business School, Universidade Católica Portuguesa.
    4. Paz Rico & Bernardí Cabrer-Borrás & Francisco Morillas-Jurado, 2021. "Seasonality in Tourism: Do Senior Programs Mitigate It?," Mathematics, MDPI, vol. 9(16), pages 1-27, August.
    5. Edith Onowe Odia & Barnabas Aigbojie Agbonifoh, 2017. "Determinants Of The Perceived Image Of Nigerian Tourism Industry," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 2(2), pages 16-26, September.
    6. Yifan Zuo & Liye Zou & Mu Zhang & Lee Smith & Lin Yang & Paul D. Loprinzi & Zhanbing Ren, 2019. "The Temporal and Spatial Evolution of Marathons in China from 2010 to 2018," IJERPH, MDPI, vol. 16(24), pages 1-17, December.
    7. Sun, Ya-Yen & Rodriguez, Ariel & Wu, Jih-Hwa & Chuang, Shu-Tzu, 2013. "Why hotel rooms were not full during a hallmark sporting event: The 2009 World Games experience," Tourism Management, Elsevier, vol. 36(C), pages 469-479.

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    More about this item

    Keywords

    Binomial; autoregression; estimation; demand analysis; festivals; rationed;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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