Tourist arrivals and climate risk indices

The study demonstrates the use of methods associated with fractal statistics in the analysis of data roughness of the climate risk condition measured by a Global Climate Risk Index among countries in the world as this induce a subsequent ruggedness in the number of international tourist arrivals in the different countries. Results reveal that there is a considerable amount of unevenness in the climate risk conditions of the countries studied and that such irregularities occur more apparently in the less stable and more risky nations. This finding implies that the weather patterns situation of a country, specifically climate risk condition, has considerable effects on international tourist arrival. Current findings lend support that changing climate and weather patterns at tourist destinations and tourist generating countries can significantly affect the tourists travel decisions. Theoretical implications of the study are discussed later in the study