dc.contributor |
Universitat Rovira i Virgili. Departament d'Economia |
dc.contributor.author |
Duro Moreno, Juan Antonio |
dc.contributor.author |
Turrión Prats, Judith |
dc.date.accessioned |
2019-03-14T17:36:38Z |
dc.date.available |
2019-03-14T17:36:38Z |
dc.date.created |
2018 |
dc.date.issued |
2018 |
dc.identifier.uri |
http://hdl.handle.net/2072/351586 |
dc.format.extent |
41 p. |
dc.language.iso |
eng |
dc.publisher |
Universitat Rovira i Virgili. Centre de Recerca en Economia Industrial i Economia Pública |
dc.relation.ispartofseries |
Documents de treball del Departament d'Economia;2018-31 |
dc.rights |
L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons:http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.source |
RECERCAT (Dipòsit de la Recerca de Catalunya) |
dc.subject.other |
Turisme -- Models economètrics |
dc.title |
Tourism seasonality worldwide |
dc.type |
info:eu-repo/semantics/workingPaper |
dc.subject.udc |
338 - Situació econòmica. Política econòmica. Gestió, control i planificació de l'economia. Producció. Serveis. Turisme. Preus |
dc.embargo.terms |
cap |
dc.rights.accessLevel |
info:eu-repo/semantics/openAccess |
dc.description.abstract |
Tourism seasonality is generally seen as a problem for most of the main destinations in
the world, particularly from the point of view of sustainability. Despite its importance, no
reasonably homogeneous international measurement of seasonality is yet available on the
global scale. Using the best UNWTO data, the paper uses the Coefficient of Variation
(CV), over the period 2008–2013 and for the main destinations, as a measure of tourism
seasonality. In addition to the descriptive results, the paper includes a mixed effects panel
data model, which allows us to investigate some reasonable main global determinants of
seasonality. The key results obtained may be summarized as follows. Firstly, the world
seasonality shows an inverted U pattern, trending upwards until 2011 and subsequently
descending. Secondly, in contrast to other regions, the highest (and increasing)
seasonality is concentrated in the Mediterranean countries. Lastly, in terms of empirical
determinants, geographical location, and the income of the major markets of origin are
globally significant variables. We believe that these results, beyond their academic value,
may be useful for policy-makers.
Keywords: Seasonality; concentration; measurement; determinants; panel data;
worldwide |