Benchmarking in Tourism Destination, Keeping in Mind the Sustainable Paradigm

Abstract

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in SummaryTourism destination benchmarking and the assessment of tourism management performances are a crucial and challenging task in the direction of evaluating tourism sustainability and reshaping tourism activities. However, assessing tourism management efficiency per se may not provide enough information concerning long-term performances, which is what sustainability is about. Natural resources management should therefore be included in the analysis to provide a more exhaustive picture of long-run sustainable efficiency and tourism performances. Indeed, while the environmental endowment of a site is a key feature in tourism destination comparison, what really matters is its effective management. Therefore, in this paper we assess and compare tourism destinations, not only in terms of tourism services supply, but also in terms of the performance of environmental management. The proposed efficiency assessment procedure is based on Data Envelopment Analysis (DEA). DEA is a methodology for evaluating the relative efficiency when facing multiple input and output. Although the methodology is extremely versatile, for the sake of exemplification, in this paper it is applied to the valuation of sustainable tourism management of the twenty Italian regions.

Determining the Sustainability Factors and Performance of a Tourism Destination from the Stakeholders’ Perspective

“…Thus, the questions were posed to measure how each variable is managed and contributes to the sustainability of the tourism destination from a long-term perspective. In addition, the performance variables were measured by focusing on two aspects, the sustainability of the performance of the tourism destination [55,59,[63][64][65] and the customers [56][57][58]61,62] in the long term. A seven-point Likert scale was used, where 1 indicates the management of the variables without any sustainability criteria, and 7 means high sustainability management.…”

“…Few articles have studied destination performance, even though it is a key tool for managing the destination. The majority have analyzed different aspects of performance, such as image [56][57][58], advertising [59], price [60], loyalty [61,62], production processes and management efficiency [55,[63][64][65], and the data envelopment analysis approach [66,67]. Another study that focuses on performance in the tourism industry was carried out by Assaf and Josiassen [68].…”

Dynamic efficiency assessment of the Chinese hotel industry

“…Wöber's (2002) book provides more details. Notably, applying the DEA technique at the spatial (national or sub-national) dimension is appropriate and represents a recent trend in the literature (Bosetti, Cassinelli, & Lanza, 2006;Hsu, Chao, & Luo, 2008). The present study focuses on technical efficiency estimation at the regional level for the Chinese hotel industry.…”

Destination performance: Introducing the utility function in the mean-variance space

“…More recent applications include Anderson, Fok and Scott (2000), Hwang and Chang (2003), Barros and Alves (2004), Daniels (2004), Chiang, Tsai andWang (2004), Barros (2005), Barros and Santos (2006), Köksal and Aksu (2007), Botti et al (2009), Perrigot et al (2009), Assaf (2012 and many others. However, there are only very few works which have studied the tourism sector at a territory level: Bosetti et al (2006, Barros et al (2011) and these papers have used basic DEA model (CCR for Charnes et al (1978) model and/or BCC for Banker et al (1984) model) as theoretical framework. And only two papers (Botti et al, 2009;Ratsimbanierana et al, 2013) make an efficiency assessment of regions with a directional distance function (DDF -Chambers et al, 1998).…”