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Survival of the fittest: tourism exposure and firm survival

Author

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  • Filipe B. Caires
  • Hugo Reis
  • Paulo M. M. Rodrigues

Abstract

In this article, a discrete-time hazard model to study firm survival in the Portuguese Tourism sector is estimated. This sector has experienced a remarkable performance over the last decades. Results show that when compared to other sectors, tourism firms are more likely to exit: (i) if they are young (less than 10 years of existence); and (ii) if they belong to the group of worse performers (i.e. belong to the lower tail of the firm distribution). Within tourism related sectors, firms with highest tourism exposure, such as travel agencies and hotels are always among the best performers in terms of survival. Moreover, despite of Tourism being one of the most volatile sectors in periods of high uncertainty, results show a higher survival resilience among established tourism associated firms.

Suggested Citation

  • Filipe B. Caires & Hugo Reis & Paulo M. M. Rodrigues, 2023. "Survival of the fittest: tourism exposure and firm survival," Applied Economics, Taylor & Francis Journals, vol. 55(60), pages 7150-7177, December.
    • Handle: RePEc:taf:applec:v:55:y:2023:i:60:p:7150-7177
    DOI: 10.1080/00036846.2023.2208858
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    Cited by:

    1. Manuel Coutinho Pereira & Joana Escórcio Silva, 2026. "Economic characterization of legal forms of Portuguese businesses," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    2. Theodore Metaxas & Athanasios Romanopoulos, 2023. "A Literature Review on the Financial Determinants of Hotel Default," JRFM, MDPI, vol. 16(7), pages 1-19, July.
    3. Williams, Allan M. & Rodríguez Sánchez, Isabel, 2024. "Knowledge mobility after tourism entrepreneurial failure: Life after death?," Annals of Tourism Research, Elsevier, vol. 106(C).

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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