In recent years, there has been a growing interest in assessing the level of performance and efficiency of the foodservice industry. As a result, an increasing number of studies applied efficiency frontiers methods to quantify firm (in)efficiency. Starting from the benchmarking studies on restaurant efficiency, this paper aims to develop a meta-analysis based on 77 observations from 25 studies published in scientific journals from 1998 to 2020. The estimated effect size in our meta-analysis is equal to 0.842 and is statistically different from zero, while the Cochran’s Q test for the heterogeneity in our sample hints at the absence of heterogeneity in the previous studies on restaurant efficiency. A meta-regression analysis partially supports this result but also highlights the importance of assuming an appropriate return to scale, given the peculiarity of the sector.
Restaurant sector efficiency frontiers: a meta-analysis / Angelini, Francesco; Castellani, Massimiliano; Vici, Laura. - In: JOURNAL OF FOODSERVICE BUSINESS RESEARCH. - ISSN 1537-8020. - ELETTRONICO. - 27:2(2024), pp. 138-156. [10.1080/15378020.2022.2077090]
Restaurant sector efficiency frontiers: a meta-analysis
Angelini, Francesco
;Castellani, Massimiliano;Vici, Laura
2024
Abstract
In recent years, there has been a growing interest in assessing the level of performance and efficiency of the foodservice industry. As a result, an increasing number of studies applied efficiency frontiers methods to quantify firm (in)efficiency. Starting from the benchmarking studies on restaurant efficiency, this paper aims to develop a meta-analysis based on 77 observations from 25 studies published in scientific journals from 1998 to 2020. The estimated effect size in our meta-analysis is equal to 0.842 and is statistically different from zero, while the Cochran’s Q test for the heterogeneity in our sample hints at the absence of heterogeneity in the previous studies on restaurant efficiency. A meta-regression analysis partially supports this result but also highlights the importance of assuming an appropriate return to scale, given the peculiarity of the sector.File | Dimensione | Formato | |
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