Returns to scale, technical and efficiency changes in the Spanish hotel industry using technological heterogeneity models

This paper analyses returns to scale, productivity growth and its decomposition in the Spanish hotel industry (period 1997–2019). To do so, we consider that hotels can have technological heterogeneity and, therefore, parameters in their production function can differ between them. Also, we use a multiple input and output production function based on an output distance stochastic frontier approach with random parameters in a Bayesian framework. Results indicate that the percentage of hotels working under increasing returns to scale decreased during the period considered. Furthermore, productivity growth was low, indicating signs of stagnation. Efficiency change appears to be the main driving force behind productivity growth, although technical change had a positive effect on productivity after the start of the global financial crisis. Several practical implications are proposed based on these results.

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Publication Details

Journal
International Journal of Hospitality Management
Published
2024-08-16
DOI
https://doi.org/10.1016/j.ijhm.2024.103884
Citations
3
Primary Topic
Firm Innovation and Growth
Type
article
Field-Weighted Citation Impact
3.39

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article

Returns to scale, technical and efficiency changes in the Spanish hotel industry using technological heterogeneity models

José María Pérez Sánchez, Jorge V. Pérez–Rodríguez, Christian Hernández-Guedes
3 citations
International Journal of Hospitality Management
Firm Innovation and Growth
3.39
article

Returns to scale, technical and efficiency changes in the Spanish hotel industry using technological heterogeneity models

José María Pérez Sánchez, Jorge V. Pérez–Rodríguez, Christian Hernández-Guedes
article en
3 citations

Abstract

This paper analyses returns to scale, productivity growth and its decomposition in the Spanish hotel industry (period 1997–2019). To do so, we consider that hotels can have technological heterogeneity and, therefore, parameters in their production function can differ between them. Also, we use a multiple input and output production function based on an output distance stochastic frontier approach with random parameters in a Bayesian framework. Results indicate that the percentage of hotels working under increasing returns to scale decreased during the period considered. Furthermore, productivity growth was low, indicating signs of stagnation. Efficiency change appears to be the main driving force behind productivity growth, although technical change had a positive effect on productivity after the start of the global financial crisis. Several practical implications are proposed based on these results.

International Journal of Hospitality ManagementVol. 122
Universidad de Las Palmas de Gran Canaria (ES)
Agencia Canaria de Investigación, Innovación y Sociedad de la Información, European Social Fund
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Firm Innovation and Growth
3.39
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