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Advertising expenses and operational performance: Evidence from the global hotel industry

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  • Polemis, Michael L.
  • Stengos, Thanasis
  • Tzeremes, Nickolaos G.

Abstract

We investigate the impact of advertising on hotel management companies’ (HMC) operational efficiencies on a sample of 90 international HMCs over the period 2010–2019. We employ time-dependent conditional frontier estimators to investigate the effect on HMCs’ technological change and technological catch-up levels. Our findings support the existence of a non-monotonic convex relationship between HMCs’ advertising expenses and their operational performance. Lastly, we also utilize the double bootstrap approach in a truncated regression setting to validate the overall effect of advertising expenses on HMCs’ operational performance levels. The findings suggest that advertising expenses decrease operational inefficiencies.

Suggested Citation

  • Polemis, Michael L. & Stengos, Thanasis & Tzeremes, Nickolaos G., 2020. "Advertising expenses and operational performance: Evidence from the global hotel industry," Economics Letters, Elsevier, vol. 192(C).
  • Handle: RePEc:eee:ecolet:v:192:y:2020:i:c:s0165176520301579
    DOI: 10.1016/j.econlet.2020.109220
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    References listed on IDEAS

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    1. Bădin, Luiza & Daraio, Cinzia & Simar, Léopold, 2012. "How to measure the impact of environmental factors in a nonparametric production model," European Journal of Operational Research, Elsevier, vol. 223(3), pages 818-833.
    2. Dan Horsky & Paul Nelson, 1996. "Evaluation of Salesforce Size and Productivity Through Efficient Frontier Benchmarking," Marketing Science, INFORMS, vol. 15(4), pages 301-320.
    3. Léopold Simar & Paul W. Wilson, 2015. "Statistical Approaches for Non-parametric Frontier Models: A Guided Tour," International Statistical Review, International Statistical Institute, vol. 83(1), pages 77-110, April.
    4. Bădin, Luiza & Daraio, Cinzia & Simar, Léopold, 2019. "A bootstrap approach for bandwidth selection in estimating conditional efficiency measures," European Journal of Operational Research, Elsevier, vol. 277(2), pages 784-797.
    5. Camilla Mastromarco & Léopold Simar, 2015. "Effect of FDI and Time on Catching Up: New Insights from a Conditional Nonparametric Frontier Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(5), pages 826-847, August.
    6. Robert C. Blattberg & Abel P. Jeuland, 1981. "A Micromodeling Approach to Investigate the Advertising-Sales Relationship," Management Science, INFORMS, vol. 27(9), pages 988-1005, September.
    7. Cinzia Daraio & Léopold Simar & Paul W. Wilson, 2018. "Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non‐parametric, two‐stage models of production," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 170-191, June.
    8. Luiza Bădin & Cinzia Daraio & Léopold Simar, 2014. "Explaining inefficiency in nonparametric production models: the state of the art," Annals of Operations Research, Springer, vol. 214(1), pages 5-30, March.
    9. Lambertini, Luca & Zaccour, Georges, 2015. "Inverted-U aggregate investment curves in a dynamic game of advertising," Economics Letters, Elsevier, vol. 132(C), pages 34-38.
    10. Daraio, Cinzia & Simar, Leopold & Wilson, Paul, 2018. "Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non-parametric, two-stage models of production," LIDAM Reprints ISBA 2018023, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    11. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    12. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    13. Pavlo Demchuk & Valentin Zelenyuk, 2009. "Testing differences in efficiency of regions within a country: the case of Ukraine," Journal of Productivity Analysis, Springer, vol. 32(2), pages 81-102, October.
    14. Perera, S. & Harrison, G. & Poole, M., 1997. "Customer-focused manufacturing strategy and the use of operations-based non-financial performance measures: A research note," Accounting, Organizations and Society, Elsevier, vol. 22(6), pages 557-572, August.
    15. Daouia, Abdelaati & Simar, Leopold, 2007. "Nonparametric efficiency analysis: A multivariate conditional quantile approach," Journal of Econometrics, Elsevier, vol. 140(2), pages 375-400, October.
    16. Arnold, Michael A. & Zhang, Lan, 2014. "The unique equilibrium in a model of sales with costly advertising," Economics Letters, Elsevier, vol. 124(3), pages 457-460.
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    More about this item

    Keywords

    Advertising expenses; Efficiency and productivity; Hotel management companies; Nonparametric frontier analysis;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising
    • Z31 - Other Special Topics - - Tourism Economics - - - Industry Studies

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