Asset-light vs. asset-heavy: Financial resilience and recovery in the global hotel industry during COVID-19
-
DOIhttp://dx.doi.org/10.21511/ppm.24(4).2026.07
-
Article InfoVolume 24 2026, Issue #4, pp. 102–118
- 7 Views
-
2 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Type of the article: Research Article
Abstract
The COVID-19 pandemic caused the most severe demand shock in the global hotel industry's recorded history, but its financial consequences were not equally distributed across firms. This study aims to examine whether hotel business model structure, specifically the degree of asset-light orientation, predicts the timing of financial recovery. The analysis uses a 15-year (2010–2024) Bloomberg panel of publicly listed hotel companies. Business model scores are measured from Bloomberg segment revenue filings wherever segmentation separately identifies fee, property, and zero-margin reimbursement revenue, and by the structured classification otherwise, with treatment anchored at pre-crisis (2019) values. Two-way fixed effects difference-in-differences estimates show that asset-light companies outperformed asset-heavy peers by 13.5 percentage points in EBITDA margins during the 2020–2021 crisis (p = 0.014). The event study shows this advantage is concentrated in the recovery year rather than the shock year: both groups collapsed comparably in 2020, asset-light margins recovered to near pre-crisis levels in 2021 while asset-heavy margins remained negative (+20.3 pp, p < 0.001), and the differential is no longer distinguishable from zero by 2022. The recovery premium is robust to region-by-year and pre-crisis-size controls and, separately, to restricting the treated group to segment-verified firms.
Acknowledgment
The author gratefully acknowledges financial support from the Department of Economics, University of Zadar, which covered the article processing charge for this publication.
- Keywords
-
JEL Classification (Paper profile tab)L83, G01, C23
-
References21
-
Tables7
-
Figures4
-
- Figure 1. Sample construction flow
- Figure 2. EBITDA margin trends by business model group (2010–2024)
- Figure 3. Event study – Business Model Score × year coefficients (continuous)
- Figure 4. Asset-light vs. Asset-heavy EBITDA margin differential (binary event study)
-
- Table 1. Basis of business model classification in the estimation sample (220 firms)
- Table 2. Summary statistics by business model group
- Table 3. Pre-treatment EBITDA margin means and parallel trends test
- Table 4. Binary difference-in-differences estimates of crisis resilience
- Table 5. Continuous business model score estimates of crisis resilience
- Table 6. Event-study coefficients — Asset-light × Year (reference year 2019)
- Table 7. Robustness of the asset-light recovery premium
-
- Aharon, D. Y., Jacobi, A., Cohen, E., Tzur, J., & Qadan, M. (2021). COVID-19, government measures and hospitality industry performance. PLOS ONE, 16(8), Article e0255819.
- Bergé, L. R., Butts, K., & McDermott, G. (2026). Fast and user-friendly econometrics estimations: The R package fixest (arXiv:2601.21749). arXiv.
- Brown, N. A., Orchiston, C., Rovins, J. E., Feldmann-Jensen, S., & Johnston, D. (2018). An integrative framework for investigating disaster resilience within the hotel sector. Journal of Hospitality and Tourism Management, 36, 67-75.
- Brown, N. A., Rovins, J. E., Feldmann-Jensen, S., Orchiston, C., & Johnston, D. (2017). Exploring disaster resilience within the hotel sector: A systematic review of literature. International Journal of Disaster Risk Reduction, 22, 362-370.
- Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230.
- Clark, J., Mauck, N., & Pruitt, S. W. (2021). The financial impact of COVID-19: Evidence from an event study of global hospitality firms. Research in International Business and Finance, 58, Article 101452.
- Dogru, T., Hanks, L., Suess, C., Line, N., & Mody, M. (2023). The resilience of the lodging industry during the pandemic: Hotels vs. Airbnb. International Journal of Hospitality Management, 109, Article 103406.
- Goodman-Bacon, A. (2021). Difference-in-differences with variation in treatment timing. Journal of Econometrics, 225(2), 254-277.
- Heryán, T., Růčková, P., & Šimáková, J. (2025). Heterogeneous impacts of the COVID-19 pandemic on financial performance among European hotels. International Journal of Computational Economics and Econometrics, 15(1/2), 18-33.
- MacKinnon, J. G., & Webb, M. D. (2018). The wild bootstrap for few (treated) clusters. The Econometrics Journal, 21(2), 114-135.
- Masset, P., Uzelac, I., & Weisskopf, J.-P. (2019). Family ownership, asset levels, and firm performance in Western European hospitality companies. Journal of Hospitality & Tourism Research, 43(6), 867-889.
- Nicolau, J. L. (2005). Leveraging profit from the fixed-variable cost ratio: The case of new hotels in Spain. Tourism Management, 26(1), 105-111.
- Polemis, M. L. (2020). The impact of COVID-19 on hotel performance: Evidence from a difference-in-differences approach (MPRA Paper No. 102053). Munich Personal RePEc Archive.
- R Core Team. (2026). R: A language and environment for statistical computing [Computer software]. R Foundation for Statistical Computing.
- Roth, J., Sant'Anna, P. H. C., Bilinski, A., & Poe, J. (2023). What's trending in difference-in-differences? A synthesis of the recent econometrics literature. Journal of Econometrics, 235(2), 2218-2244.
- Rushmore, S. Jr., & O'Neill, J. W. (2015). Updated benchmarks for projecting fixed and variable components of hotel financial performance. Cornell Hospitality Quarterly, 56(1), 17-28.
- Seo, K. (2021, June). Asset-light business model: Strategies for hotels during the pandemic. Boston Hospitality Review.
- Seo, K., & Soh, J. (2019). Asset-light business model: An examination of investment-cash flow sensitivities and return on invested capital. International Journal of Hospitality Management, 78, 169-178.
- UN Tourism. (2021). UNWTO World Tourism Barometer and Statistical Annex, January 2021. World Tourism Barometer, 19(1), 1-42.
- Wszendybył-Skulska, E., Najda-Janoszka, M., Jezierski, A., Kościółek, S., & Panasiuk, A. (2024). Exploring resilience of the hotel industry using the example of Polish regions: The case of COVID-19 pandemic. Journal of Entrepreneurship, Management and Innovation, 20(3), 25-45.
- Zhang, X., Chang, B.-G., & Wu, K.-S. (2022). COVID-19 shock, financial flexibility, and hotels' performance nexus. Frontiers in Public Health, 10, Article 792946.


