Expert Consensus Versus Statistical Techniques in the Delimitation of Tourism Destinations
Autor: | Yurena Rodríguez-Rodríguez, Raúl Hernández-Martín |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Tourism destinations
Computer science Geography Planning and Development TJ807-830 Domestic tourism Canary Islands Management Monitoring Policy and Law Destinations TD194-195 Renewable energy sources 0502 economics and business local tourism destinations GE1-350 Statistical analysis tourism planning Set (psychology) Environmental effects of industries and plants Renewable Energy Sustainability and the Environment Management science 05 social sciences Expert consensus delimitation Test (assessment) Environmental sciences destination design 050211 marketing 050212 sport leisure & tourism Tourism |
Zdroj: | Sustainability Volume 12 Issue 6 Sustainability, Vol 12, Iss 6, p 2540 (2020) |
ISSN: | 2071-1050 |
DOI: | 10.3390/su12062540 |
Popis: | Delimitation of the boundaries of local tourism destinations has been proposed as a useful tool to obtain spatially-detailed statistical information to improve their decision-making and management. In the case of the Canary Islands, a leading tourism region, expert consensus supported by criteria based on supply characteristics has been used to set the boundaries of local destinations. This paper aims to analyse the characteristics of these established local destinations and test if statistical methods may provide better or different results than expert consensus from the perspective of destinations&rsquo internal homogeneity and the differences between them. After applying descriptive and analytical statistical methods, the results confirm the evidence found in other delimitation exercises in social sciences. The consensus of experts, or subjectivity, provides consistent results that are, by and large, confirmed by statistical analysis. While statistical methods can provide new insights for delimitation, pure statistical methods can sometimes be misleading if stakeholders&rsquo knowledge is not considered. |
Databáze: | OpenAIRE |
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