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on Tourism Economics |
| By: | Georges A. Tanguay; Juste Rajaonson; Marie-Christine Therrien |
| Abstract: | Using sustainable tourism indicators (STI) creates many difficulties resulting mainly from the multiple interpretations of the concept of sustainable development, and by extension of the concept of sustainable tourism. To these difficulties are added an absence of a strong academic background, which is the result of incompatibilities between the needs and objectives of the academic versus the political world, which often challenges the need for indicators. We propose a parsimonious list of sustainable tourism indicators based on the application of a series of selection criteria. From the expert recognized indicators, all of these criteria help us choose the indicators, which cover the dimensions and issues of sustainable development for tourism. They are legitimized by existing experiences and sufficiently flexible to be useful for different destinations. In the end, the intersection of these conditions contributes to the scientific and political recognition of the indicators. We start by applying four general selection criteria to a 507 STI database. This allows us to reduce the list to 20 recognized STI. We end the selection process by applying three specific criteria in order to adjust the 20 STI to render them operational. We illustrate the selection procedure with an example of criteria application to the Gaspésie-Iles-de-la Madeleine region in Quebec. <P>L’utilisation d’indicateurs de tourisme durable (STI) pose de nombreux problèmes qui résultent principalement des multiples interprétations du développement durable et, de ce fait, du tourisme durable. S’y ajoute l’absence d’un cadre de référence établi résultant de l’incompatibilité entre les attentes et objectifs du milieu académique et du milieu politique et remettant souvent en cause la crédibilité et le bien-fondé des indicateurs. Pour y remédier, nous proposons une liste parcimonieuse d’indicateurs de tourisme durable (STI) basée sur l’application d’une série de critères de sélection. L’ensemble de ces critères permet de choisir, parmi les indicateurs reconnus par les experts, ceux qui couvrent largement les dimensions et les enjeux de développement durable dans le domaine du tourisme, qui sont légitimés par les expériences existantes et qui sont en même temps suffisamment flexibles pour être effectifs et utiles à différentes destinations. Nous croyons que le concours de ces conditions contribuera à la reconnaissance et à la légitimité scientifique et politique des indicateurs. Quatre critères de sélection généraux sont appliqués à une base de données de 507 STI pour en réduire le nombre à un effectif optimal de 20 STI. Ensuite, trois critères spécifiques permettent d’ajuster les 20 STI pour les rendre opérationnels. Nous illustrons cette démarche en appliquant ces critères à la région de la Gaspésie-Îles-de-la-Madeleine, Québec. |
| Keywords: | Indicators, Sustainable Tourism, Sustainable Development, Indicators, Sustainable Tourism, Sustainable Development |
| Date: | 2011–09–01 |
| URL: | http://d.repec.org/n?u=RePEc:cir:cirwor:2011s-61&r=tur |
| By: | JG. Brida; Manuela Deidda; N. Garrido; Manuela Pulina |
| Abstract: | This paper introduces a methodology to describe and compare the economic relative performance of the hospitality sector of the Italian regions during the period 2000-2004. Dynamics of the hospitality sector of each region is represented by the evolution of its economic efficiency. The investigation involves the following steps - a static Data Envelopment Analysis (DEA) to estimate the pure economic efficiency; two different notions of distances between time series and hierarchical clustering techniques are used to classify the economies in the sample. By using a correlation-based distance, three main clusters are detected, while two clusters are identified when the average distance is used. The trend patterns, identified by employing the correlation distance, can be interpreted in terms of exogenous factors that influence the economic efficiency of the group of regions, causing shocks picked up by the high volatility as well as structural breaks. By employing the average distance, one infers information on the cluster that have had similar efficiency values over the period under analysis. This efficiency can be also interpreted in terms of a particular type of hospitality management as well as the firm structure. Following the analysis, some policy and management implications are presented. |
| Keywords: | Regional hospitality sector; window DEA; hierarchical clustering |
| JEL: | L83 C24 C14 |
| Date: | 2011 |
| URL: | http://d.repec.org/n?u=RePEc:cns:cnscwp:201117&r=tur |
| By: | Vishal Bhalla |
| Abstract: | This presentation focused on how a case study in St Lucia - the Coconut Bay Beach Resort - has adapted their operations for climate change but specifically on how these activities were financed. It discussed the creation of a public-private partnership and talked about the various entities that funded the collaboration. |
| Keywords: | Environment & Natural Resources :: Climate Change, Environment & Natural Resources :: Water Management, Private Sector :: Public Private Partnerships |
| Date: | 2011–03 |
| URL: | http://d.repec.org/n?u=RePEc:idb:brikps:12618&r=tur |
| By: | Ian David Soane; Rocco Scolozzi; Beatrice Marelli; Cristina Orsatti; Klaus Hubacek; Alessandro Gretter |
| Abstract: | This paper explores methods of applying resilience theory to a case study of natural resource management and the cultural landscape of upland and alpine pasture in northern Italy. We identify that the close interaction between alpine pastures and its managers offers a strong fit with the concept of a social-ecological system that maintains the cultural landscape. We first considered a descriptive approach looking historically at socio-economic development in the study area. We explored whether this can be related to resilience phenomena such as regime shifts, thresholds and/or regime stability through adaptive processes. However, we found it difficult at this overarching level to conceptually combine natural and social capital of alpine pastures and their managers in any quantitative way. We also interpreted our data through considering economic, social and ecological information as acting within separate but interacting domains. This led us to construct conceptual models of adaptive cycles to describe the alpine mountain grassland ecosystem of our study site and to conclude that a panarchy model can offer a powerful metaphor for its ecological dynamics. This has practical implications both for the management of Natura 2000 interest and the maintenance of the cultural landscape in which this Alpine interest occurs. We suggest that Resilience theory through its dynamic approach of interacting scales of adaptive cycles offers useful insights into the resource management (of valued cultural and natural attributes) but that care is needed in distinguishing between descriptive metaphor and predictive model or "real" system. |
| Keywords: | natural resource management, natural and social capital |
| JEL: | M1 M4 |
| Date: | 2011 |
| URL: | http://d.repec.org/n?u=RePEc:trn:utwpol:1107&r=tur |