Tourism Climate Indicators (TCI) Applied in Moc Chau District (Son La, Vietnam)

Le, Hoa Thu; Ngoc, Khanh Nguyen; Thu, Nhung Nguyen

doi:10.1007/978-3-030-81443-4_5

Cited by 1 publication

(1 citation statement)

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“…TCI is one of the most widely applied indexes in the tourism literature. The TCI has been employed in the studies of Le et al (2022), Hejazizadeh et al (2019, Fang and Yin (2015), Olya and Alipour (2015), Amelung and Viner (2006). Mieczkowski (1985) constructed the TCI by integrating temperature, humidity, duration of daily sunshine, and other key tourism climatic variables into a numerical index.…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Climate Change on Tourism Demand in China

Jong,

Puah,

Arip

2024

IJEEP

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This study quantified the impact of climate on the international tourism demand in China. Due to rising awareness and urgency to combat climate change, there is a growing need to better grasp the possible implications and the risk of climate change to the tourism industry. The tourists’ travel decision can be influenced by both climatic and non-climatic factors, and thus this study has integrated both factors into the models. The climatic variable is represented by Tourism Climate Index (TCI) and Holiday Climate Index (HCI) while the selected non-climatic determinants are tourists’ income, tourism price, exchange rate and transportation cost. The empirical findings showed that climate conditions significantly and adversely affect China’s tourism demand. Tourists’ income level, as expected, positively affects their decision to travel to China. Meanwhile, the tourism price, exchange rate, and transportation cost negatively impact China’s tourism industry. Although some valuable results have been found, more works are required to understand its long-haul significance to the tourism industry, especially during extreme events such as extreme weathers, pandemics, financial crises and etc.

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