Impact of Climate on Tourist Demand

Wietze Lise and Richard Tol

No FNU-1, Working Papers from Research unit Sustainability and Global Change, Hamburg University

Abstract: Tourism, being volatile and situation-specific, is responsive to climate change. A crosssection analysis is conducted on destinations of OECD tourists and a factor and regression analysis on holiday activities of Dutch tourists, to find optimal temperatures at travel destination for different tourists and different tourist activities. Globally, OECD tourists prefer a temperature of 21ºC (average of the hottest month of the year) at their choice of holiday destination. This indicates that, under a scenario of gradual warming, tourists would spend their holidays in different places than they currently do. The factor and regression analysis suggests that preferences for climates at tourist destinations differ among age and income groups.

Keywords: tourist demand; climate variability; climate change; factor analysis; regression analysis; cross-section analysis (search for similar items in EconPapers)
JEL-codes: L83 Q54 (search for similar items in EconPapers)
Pages: 34 pages
Date: 2000-08, Revised 2000-08
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published, Climatic Change, 55 (4), 429-449

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