The objective of this study is to explore the relationship between changing weather conditions and tourism demand in Thailand across five selected provinces: Chonburi (Pattaya), Surat Thani, Phuket, Chiang Mai, and Bangkok. The annual data used in this study from 2012 to 2022. The estimation method is threshold regression (TR). The results indicate that weather conditions proxied by the Temperature Humidity Index (THI) significantly affect tourism demand in these five provinces. Specifically, changes in weather conditions, such as an increase in temperature, generally result in a decrease in tourism demand. However, the impact of weather conditions varies according to each province’s unique characteristics or highlights. For example, tourism demand in Bangkok is not significantly affected by weather conditions. In contrast, provinces that rely heavily on maritime tourism, such as Chonburi (Pattaya), Phuket, and Surat Thani, are notably affected by weather conditions. When the THI in each province rises beyond a certain threshold, the demand for tourism in these provinces by foreign tourists decreases significantly. Furthermore, economic factors, particularly tourists’ income, significantly impact tourism demand. An increase in the income of foreign tourists is associated with a decrease in tourism in Pattaya. This trend possibly occurs because higher-income tourists tend to upgrade their travel destinations from Pattaya to more upscale locations such as Phuket or Surat Thani. For Thai tourists, an increase in income leads to a decrease in domestic tourism, as higher incomes enable more frequent international travel, thereby reducing tourism in the five provinces. Additionally, the study found that the availability and convenience of accommodation and food services are critical factors influencing tourism demand in all the provinces studied.

Agnew, M., & Palutikof, J. (2006). Impacts of short-term climate variability in the UK on demand for domestic and international tourism. Climate Research, 31, 109–120. https://doi.org/10.3354/cr031109

Amelung, B., Nicholls, S., & Viner, D. (2007). Implications of Global Climate Change for Tourism Flows and Seasonality. Journal of Travel Research, 45(3), 285–296. https://doi.org/10.1177/0047287506295937

Bai, J. (1997). Estimation of a Change Point in Multiple Regression Models. Review of Economics and Statistics, 79(4), 551–563. https://doi.org/10.1162/003465397557132

Bai, J., & Perron, P. (1998). Estimating and Testing Linear Models with Multiple Structural Changes. Econometrica, 66(1), 47. https://doi.org/10.2307/2998540

Bai, J., & Perron, P. (2002). Computation and analysis of multiple structural change models. Journal of Applied Econometrics, 18(1), 1–22. Portico. https://doi.org/10.1002/jae.659

Becken, S. (2010). The Importance of Climate and Weather for Tourism: Literature Review. Land Environment and People, 24, 1-24.

Becken, S. (2013). A review of tourism and climate change as an evolving knowledge domain. Tourism Management Perspectives, 6, 53–62. https://doi.org/10.1016/j.tmp.2012.11.006

Becken, S., & Hay, J. (2012). Climate Change and Tourism: From Policy to Practice. Routledge.

Becken, S., Hess, J. S., Scott, D., & Wisansing, J. (2019). Climate change risk assessment for Thailand’s tourism sector. Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Bangkok.

Crouch, G. I. (1994). The Study of International Tourism Demand: A Review of Findings. Journal of Travel Research, 33(1), 12-23.

De Freitas, C. R. (2003). Tourism Climatology: Evaluating Environmental Information for Decision Making and Business Planning in the Recreation and Tourism Sector. International Journal of Biometeorology, 48(1), 45–54.

Falk, M. (2014). The Impact of Weather Conditions on Tourism Demand in the Peak Summer Season Over the Last 50 Years. Tourism Management Perspectives, 9, 24-35.

Gómez-Martín, M. B. (2005). Weather, Climate and Tourism: A Geographical Perspective. Annals of Tourism Research, 32(3), 571–591.

Gössling, S., Hall, C. M. (2006). Uncertainties in Predicting Tourist Flows Under Scenarios of Climate Change. Climate Change, 79(3-4), 163-173.

Gössling, S., Hall, C. M., & Scott, D. (2015). Tourism and Water. Channel View Publications.

Gühnemann, A., Kurzweil, A., Mailer M. (2021). Tourism mobility and climate change − a review of the situation in Austria. Journal of Outdoor Recreation and Tourism, 34, 100382. https://doi.org/10.1016/j.jort.2021.100382

Hall, C. M., Saarinen, J. (2021). 20 years of Nordic climate change crisis and tourism research: A review and future research agenda. Scandinavian Journal of Hospitality and Tourism, 21(1), 102-110.

Hamilton, J. M., Maddison, D. J., Tol, R. S. 2005. Climate Change and International Tourism: A Simulation Study. Global Environmental Change, 15(3), 253-266.

Hansen, B. (1999). Testing for Linearity, Journal of Economic Surveys, 13, 551-576.

Hansen, B. (2000). Testing for Structural Change in Conditional Models. Journal of Econometrics, 97, 93-115.

Hansen, B. (2011). Threshold Autoregressive in Economics. Statistics and Its Interface. 4, 123-127.

Hansen, B. E. (2000). Sample Splitting and Threshold Estimation. Econometrica, 68(3), 575–603.

Hein, L., Metzger, M. J., & Moreno, A. (2009). Title of the article. Current Opinion in Environmental Sustainability, 1(2), 170-178.

IPCC. (2023). Climate Change 2023: Synthesis Report Summary for Policymakers. In H. Lee (Chairman) & J. Romero (Head, Technical Support Unit), Synthesis Report. IPCC.

Jørgensen, F., & Solvoll, G. (1996). Demand Models for Inclusive Tour Charter: The Norwegian Case. Tourism Management, 17(1), 17–24.

Kaján, E., and Saarinen, J. (2013). Tourism, Climate Change, and Adaptation: A Review. Current Issues in Tourism, 16(2), 167-195.

Koop, G., Potter, S. M. (2000). Bayesian Analysis of Endogenous Delay Threshold Models. Edinburgh School of Economics Discussion Paper, Series 11.

Lim, C. (1997). Review of international tourist demand models. Annals of Tourism Research, 24(4), 835–849.

Maddison, D. J. (2001). In Search of Warmer Climates? The Impact of Climate Change on Flows of British Tourists. Climatic Change, 49(1–2), 193–208.

Mieczkowski, Z. (1985). The tourism climatic index: A method of evaluating world climates for tourism. The Canadian Geographer, 29, 220-233.

Morley, C. L. 2000. Demand modelling methodologies: integration and other issues. Tourism Economics, 6, 5-20

Ngxongo, N. A. (2021). The impact of climate change on visitor destination selection: A case study of the Central Drakensberg Region in KwaZulu-Natal. Jàmbá: Journal of Disaster Risk Studies, 13(1), a1161. https://doi.org/10.4102/jamba.v13i1.1161

Nieuwolt, S. (1977). Tropical Climatology: An Introduction to the Climates of the Low Latitudes. John Wiley and Sons.

Pedapalli, S. C. K., Gupta, B., and Mahajan, P. (2022). Climate change and tourism: A paradigm for enhancing tourism resilience in SIDS. Worldwide Hospitality and Tourism Themes, 14(5), 431-440. https://doi.org/10.1108/whatt-07-2022-0081

Perch-Nielsen, S. L., Amelung, B., and Knutti, R. (2010). Future Climate Resources for Tourism in Europe Based on the Daily Tourism Climatic Index. Climate Change, 103(3-4), 363-381.

Perry, A. (2006). Will Predicted Climate Change Compromise the Sustainability of Mediterranean Tourism? Journal of Sustainable Tourism, 14(4), 367–375.

Puah, C. H., Sia, P. C., Jong, M. C. (2022), Modelling tourism demand in Macau: A panel analysis. Review of Economics and Finance, 20, 763-768.

Rutty, M., & Scott, D. (2010). Will the Mediterranean Become ‘Too Hot’ for Tourism? A Reassessment. Tourism and Hospitality, Planning and Development, 7(3), 267–281.

Scheyvens, R., Hughes, E. (2019). Can tourism help to “end poverty in all its forms everywhere”? The challenge of tourism addressing SDG1. Journal of Sustainable Tourism, 27(2), 1-19. https://doi.org/10.1080/09669582.2018.1551404

Scott, D., Gössling, S., and Hall, C. M. (2012). International tourism and climate change.Wiley Interdisciplinary Reviews: Climate Change, 3(3), 213-232.

Scott, D., Hall, C. M., and Gössling, S. (2016). A Report on the Paris Climate Change Agreement and Its Implications for Tourism: Why We Will Always Have Paris. Journal of Sustainable Tourism. https://doi.org/10.1080/09669582.2016.1237401

Scott, D., McBoyle, G. (2001). Using a “Tourism Climate Index” to Examine the Implications of Climate Change for Climate as a Tourism Resource. Climate Research, 15(2), 105-117.

Scott, D., Mcboyle, G., Minogue, A. (2006). Climate Change and the Sustainability of Ski-based Tourism in Eastern North America: A Reassessment. Journal of Sustainable Tourism, 14, 376-398.

Scott, D., Mcboyle, G., Schwartzentruber, M. (2004). Climate Change and the Distribution of Climatic Resources for Tourism in North America. Climate Research, 27, 105-117.

Seo, J., Lee, S. (2018). Modeling threshold effects in tourism demand: A Bayesian approach. Tourism Management, 64, 53–65.

Soh, A. N., Puah, C. H., & Jong, M. C. (2022). Macroeconomic determinants of tourism demand in Malaysia: A Markov Switching Regression Approach. Business Management and Strategy, 13(2), 95-107. https://doi.org/10.5296/bms.v13i2.20339

Song, H., and Li, G. (2008). Tourism demand modeling: A time-varying parameter approach. Tourism Management, 29(5), 868–877.

Song, H., Li, G. (2008). Tourism Demand Modelling and Forecasting – A Review of Recent Research. Tourism Management, 29(2), 203-220.

Tucker, T., Gilliland, J. (2007). The Effect of Season and Weather on Physical Activity: A Systematic Review. Public Health, 121, 909-922.

Ulucak, R, Yücel A. G., İlkay, S. Ç. (2020) Dynamics of tourism demand in Turkey: Panel data analysis using gravity model. Tourism Economics, Epub ahead of print 29 January 2020. https://doi.org/10.1177/1354816620901956. Crossref.

World Tourist Organization. (1998). Tourism 2020 vision. WTO Publications.

Yu, G., Schwartz, Z., Walsh, J. E. (2009), A weather-resolving index for assessing the impact of climate change on tourism related climate resources. Climate Change, 95, 551-573.