Identifying micro-destinations and providing statistical information: a pilot study in the Canary Islands |
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Authors: | Raúl Hernández-Martín Moisés Ramón Simancas-Cruz Jesús Alberto González-Yanes Yurena Rodríguez-Rodríguez Juan Israel García-Cruz Yenis Marisel González-Mora |
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Affiliation: | 1. Department of Applied Economics, University of La Laguna, Santa Cruz de Tenerife, Spain;2. Department of Geography, University of La Laguna, Santa Cruz de Tenerife, Spain;3. Canary Islands Institute of Statistics, Santa Cruz de Tenerife, Spain;4. Cátedra de Turismo CajaCanarias – ASHOTEL, University of La Laguna, Santa Cruz de Tenerife, Spain |
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Abstract: | Municipalities and regions are often used as an object of tourism analysis at the subnational level. This occurs because administrative borders are used to implement tourism policies and collect statistical information. However, administrative boundaries may not always be suitable for studying tourism destinations at a local level. Sometimes, particularly in high-density tourism destinations, several differentiated tourism areas occupy a single municipality; tourism areas may, and often do, extend beyond municipal boundaries and tourism destinations may not occupy the whole of the municipal area. As such, a new level of analysis is often required: the micro-destination. There are few tourism concepts as imprecise as that of the destination. Therefore, the process of identifying and establishing the boundaries of a micro-destination is by no means a straightforward one. This paper presents six criteria for establishing the boundaries of this type of tourism area. Of these six, the two primary criteria used are: the concentration of tourism establishments; and tourism typologies and supply characteristics. These criteria have been applied as part of a pilot study in the Canary Islands. Statistical information for nine micro-destinations is generated using the geolocation of tourism establishments together with information obtained from both supply-side and demand-side surveys. |
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Keywords: | destination features and components boundaries statistics geolocation micro-destinations Canary Islands |
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