A parametric decomposition of hotel-sector productivity growth

Chatzimichael, Konstantinos; Liasidou, Sotiroula

doi:10.1016/j.ijhm.2018.05.010

Cited by 31 publications

(23 citation statements)

References 42 publications

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“…In other words, the businesses have the following aspects that are similar to an efficient business: output mix, input mix, and scale operations. As mentioned in the literature review, several studies on the efficiency of the hotel industry have used this method with some variations ( [11][12][13][14][15][16]18]).…”

Section: Methodsmentioning

confidence: 99%

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Data Envelopment Analysis (DEA) for Measuring the Efficiency of the Hotel Industry in Ecuador

et al. 2020

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The level of contribution of the hotel industry depends on different factors of production that they use in the provision of their services The way they use these factors of production will allow them to act efficiently, in order to improve profitability and market position. Ecuador, in recent years, has directed public policies betting on the development of this industry. In this sense, this research seeks to measure the efficiency and productivity of the Ecuadorian hotel industry. For this purpose, a significant sample has been selected; it consists of 147 businesses that provided hotel services during the period 2013-2017. These businesses are classified according to their quality and geographic location. This information has been useful to make a balanced panel data with one output (Revenue) and three inputs (Total_personnel, the non-current assets, and Consumption) by using the Data Envelopment Analysis (DEA). The results, which proved to be solid and accurate, indicate that the most efficient businesses are the ones in the third class, whereas those hotels located in zones with tourist attractions and activities have a better optimization of those resources. This situation has an effect on the significant improvement of their productivity.

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Section: Methodsmentioning

confidence: 99%

“…Chatzimichael & Liasidou [13] carried out a study in 25 European countries during the period 2008-2015. The methods applied were DEA for efficiency and productivity frontier, as well as a flexible translog production function that allowed us to differentiate between the Hicks-neutral technical change and the partial factor.…”

Section: Literature Reviewmentioning

confidence: 99%

Data Envelopment Analysis (DEA) for Measuring the Efficiency of the Hotel Industry in Ecuador

et al. 2020

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“…The company output is homogenized and defined as q i t , the number of accommodation services, and p i t is the sale price per accommodation service. According to convention, two inputs are introduced (Chatzimichael & Liasidou, 2019): labor and capital. Operating costs are labor costs, capital costs, and other operating costs (supply costs, external service costs, etc.).…”

Section: Methodological Approachmentioning

confidence: 99%

“…Caution should be taken when interpreting the input efficiency variations; it is common to assume that the relationship between outputs and inputs is linear (technology presents constant returns to scale [CRS]) 2 ; in this case, technical efficiency variations are determined only by the company’s ability to use its inputs efficiently; however, when the technology is not CRS, the input efficiency variation can also be explained by scale effects. It is possible to isolate the scale effect by drawing a function that represents the technological relationship between the inputs and the outputs (Chatzimichael & Liasidou, 2019). Taking into account time, another efficiency variation resource is the technological progress (Chatzimichael & Liasidou, 2019; Orfila-Sintes et al, 2005).…”

Section: Methodological Approachmentioning

confidence: 99%

Operating Profit Drivers for Large Companies in the Spanish Hotel Sector: A Temporal Analysis (2004-2017)

Carreras-Simó

2020

Journal of Hospitality & Tourism Research

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The improvement of performance and profitability in hotel companies is backed by a continuous and progressive management process. However, research methodologies have generally adopted a static perspective that does not specify the concrete trajectories used by companies to improve management performance and profitability. This article proposes a dynamic methodological approach to analyze the profit drivers of the largest Spanish hotel companies throughout the period 2004 to 2017. This period is characterized by a recession and subsequent economic recovery, and therefore, it supplies a long and varying perspective for evaluating the management trajectories used by these companies to push their profits. Findings show that the composition of profit drivers is neither uniform nor time invariant and can depend on both external and internal factors.

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“…The empirical results showed that the collaboration and integration between divisions in the tourism supply chain appeared inadequate and most regions have not achieved overall efficiency. Chatzimichael and Liasidou () adopted a stochastic frontier approach to decompose hotel‐sector total factor productivity growth, and they found that hotel‐sector productivity growth rates were quite low in most European countries from 2008 to 2015. The empirical results show that these hotels from different technologies will be affected by productivity change.…”

Section: Review Of the Literaturementioning

confidence: 99%

An investigation of international hotel productivity considering quasifixed inputs and negative outputs

2019

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This paper explores the productivity of international hotels by considering the number of guest rooms and the area of the catering department as quasifixed inputs, because neither can be easily changed over a short period. We introduce a range‐adjusted measure model to incorporate both quasifixed inputs and negative outputs and propose a nonradial Malmquist productivity index to estimate dynamic productivity. The results show that chain‐operated hotels were unable to generate operational synergy to enhance their competitiveness, but their productivity outperformed that of independently operated hotels in cross‐period aspect. Finally, we provide improvement suggestions for managers.

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A parametric decomposition of hotel-sector productivity growth

Cited by 31 publications

References 42 publications

Data Envelopment Analysis (DEA) for Measuring the Efficiency of the Hotel Industry in Ecuador

Data Envelopment Analysis (DEA) for Measuring the Efficiency of the Hotel Industry in Ecuador

Operating Profit Drivers for Large Companies in the Spanish Hotel Sector: A Temporal Analysis (2004-2017)

An investigation of international hotel productivity considering quasifixed inputs and negative outputs

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