Ranking world tourist destinations with a composite indicator of competitiveness: To weigh or not to weigh?
Abstract This paper contributes a weighted composite indicator of competitiveness for 136 world tourist destinations. To that end, Data Envelopment Analysis and Multi-Criteria-Decision-Making techniques are used with raw indicators from the 2017 edition of the Travel & Tourism Competitiveness Report of the World Economic Forum (WEF). An outstanding feature of our approach is that weights are endogenously generated. Furthermore, the role played by several variables in tourism competitiveness is assessed using truncated regression and bootstrapping. The ranking of world tourist destinations produced by our weighted composite indicator of competitiveness is, however, fairly similar to that der…
Ranking World Tourism Competitiveness: A Comparison of Two Composite Indicators
Assessing travel and tourism competitiveness (T&TC) is becoming an issue of paramount importance for stakeholders, mainly policymakers and practitioners. The availability of new databases such as the Travel and Tourism Competitiveness Report from the World Economic Forum (WEF) has boosted this interest. This chapter contributes to the current literature in this field with an assessment of the T&TC of 136 world tourist destinations. In doing so, two well-known approaches are employed: Data Envelopment Analysis (DEA) with endogenous common weights, and the Technique for Order of Preference by Similarity to Ideal Solutions (TOPSIS). World tourist destinations are ranked using these approaches,…