A Dynamic Panel Data Analysis of Climate and Tourism Demand: Additional Evidence. (February 2017)

• Record Type: Journal Article
• Authors: Li, Hengyun; Song, Haiyan; Li, Li
• Is Part Of: Journal of travel research. Volume 56:Number 2(2017)
• Page Start: 158
• Page End: 171
• Publication Date: 2017-02
• Subjects: seasonal tourism demand -- home climate -- destination climate -- climate difference -- dynamic panel data; Travel -- Research -- Periodicals; Tourism -- Periodicals; Tourism -- Research -- Periodicals; 910.72
• DOI: 10.1177/0047287515626304
• Languages: English
• ISSNs: 0047-2875

Abstract

A new model that links climate and seasonal tourism demand is developed to study the effects of home climate, destination climate, and climate difference between destinations and source markets on seasonal tourism demand. Using the dynamic panel data technique, the study focuses on the demand of tourists from Hong Kong for 19 of the major tourism cities in Mainland China. The results show that the home climate, destination climate, and the difference in climate between home and destination cities all have significant influence on tourism demand. Furthermore, demand for Mainland Chinese tourism among Hong Kong residents is found to be driven by the climate at the place of origin, while the effects of destination climate and climate difference are weaker.