Yang Yu, Yaping Gong, Yanxi Tao, DooHwan Won, Guojie Zhang
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引用次数: 0
Abstract
Although inbound tourism growth has been facing an increasing threat from global climate change, there still exists insufficient understanding regarding the long-term impacts of climate change on tourism demand in non-Western contexts. By considering other main explanatory variables, which have been largely overlooked among extant literature, the study examined the impacts of climate change on the Chinese inbound tourism market using the generalized method of moments model and panel data spanning 30 years and across 20 countries. The results revealed that the relationship between a location's temperature and inbound tourism demand is negative and an increase in temperature resulted in a decrease in international visitors traveling to China. In addition to offering a more robust and reliable assessment of the relationship between climate change and inbound tourism demand, the research represents one of the early attempts to advance understandings of the long-term impacts of climate change in non-Western developing countries.
期刊介绍:
International Journal of Tourism Research promotes and enhances research developments in the field of tourism. The journal provides an international platform for debate and dissemination of research findings whilst also facilitating the discussion of new research areas and techniques. IJTR continues to add a vibrant and exciting channel for those interested in tourism and hospitality research developments. The scope of the journal is international and welcomes research that makes original contributions to theories and methodologies. It continues to publish high quality research papers in any area of tourism, including empirical papers on tourism issues. The journal welcomes submissions based upon both primary research and reviews including papers in areas that may not directly be tourism based but concern a topic that is of interest to researchers in the field of tourism, such as economics, marketing, sociology and statistics. All papers are subject to strict double-blind (or triple-blind) peer review by the international research community.