Spending Behavior of Thai Tourists in Dan Sai District, Loei province, Thailand: Seemingly Unrelated Regression Estimation Analysis
Abstract
The purpose of this study is to investigate the spending behavior of Thai tourists in Dan Sai District, Loei province, Thailand by applying the Almost Ideal Demand System (AIDS) model. The analysis was conducted by employing Seemingly Unrelated Regression Estimation (SURE). A questionnaire was used to collect data and 400 samples were collected. The results revealed that the price factor influences the cost of accommodation on other expenses, food and beverage expenses on other expenses and travel expenses on other expenses while the revenue factor influences travel costs on other expenses and the cost of souvenirs on other expenses. The results of the study show that there should be measures to stimulate tourist spending using price strategy to encourage tourists to spend more, and marketing strategies should be used to encourage high-income tourists to spend in Dan Sai District.
References
[2] Boonnim, P. 2003. Determinants of patterns of tourist expenditure in Thailand: case study of non-package tourists from East Asia. [Master Thesis]. Available at: http://cuir.car.chula.ac.th/handle/123456789/167
[3] Davies, B., and Mangan, J. 1992. Family expenditure on hotels and holidays. Annals of Tourism Research, 19: 691-699.
[4] Deaton, A., and Muellbauer, J. 1980. An Almost Ideal Demand System. The American Economic Review. 70(3): 312–326.
[5] Gujarati, D. N. 2009. Basic Econometrics (5th ed.). New York, NY: McGraw-Hill.Jehle, G.A. & Reny, P. J. 2011. Advanced Microeconomic Theory (3rd ed.). Essex, England: Pearson Education Limited.
[6] Krejcie, R. V. and Morgan, D. W. 1970. Determining sample size for research activities. Educational and Psychological, 30: 607-620.
[7] Loei Staistic Office. 2017. Loei National Statistics. Available at: http://loei.nso.go.th
[8] Lungpae, S. 2012. Almost Ideal Demand System of Fruit Imports in Malaysia Market [Master Thesis]. Available at: http://thesis.swu.ac.th/swuthesis/Man_Econ/Siriwan_L.pdf
[9] Ministry of Tourism and Sports. 2017. Statistics of Tourism. Available at: http://www.mots.go.th
[10] Nonthapot, S. and Lean, H. H. 2015. International tourism market analysis in the Greater Mekong Sub- Region: A panel data approach. Pertanika Journal of Social Sciences and Humanities, 23 (4): 945-966.
[11] Nonthapot, S. and Srichaiyo. 2017. The effects of financial crises on tourism in the Greater Mekong Sub- region: Panel ARDL approach. Journal of Environmental Management and Tourism, 8(4): 853-860. DOI: https://doi.org/10.14505//jemt.v8.4(20).14
[12] Office of the Permanent Secretary for Tourism and Sports. 2017. Tourism Economic Report. Bangkok: Excellent Business Company. [In Thai]
[13] Pindyck, R., and Rubinfeld, D. 1998. Econometric models and economic forecasts (4th ed.). Singapore: lrwin McGraw-Hill.
[14] Raktham, W. 2005. Factors affecting the expenditure patterns of non-package tourists from East Asia to Thailand. Bangkok: University of the Thai Chamber of Commerce.
[15] Rungkakulnuwat, P. and Sihiran, K. 2008. The linear almost ideal demand system (LAIDS) to China's import demand system for Thai agricultural products. Chiang Mai University Journal of Economics, 12(3): 26.47.
[16] Sompholkrang, M. 2014. Tourism expenditures and environment in Thailand. Eurasian Journal of Economics and Finance, 2(2): 63-69. DOI: https://doi.org/10.15604/ejef.2014.02.02.005
[17] The National Statistical Office. 2017. National Statistics of Tourism. 2017. Available at: http://service.nso.go.th
[18] Turner, R. C., and Carlson, L. 2009. Indexes of Item-Objective Congruence for Multidimensional Items. International Journal Testing, 3(2): 163-172. DOI: https://doi.org/10.1207/S15327574IJT0302_5
[19] World Map. 2018. Thailand Loei province (Changwat) Map. Available at: https://www.mapsofworld.com/thailand/provinces/loei-map.html
Copyright© 2024 The Author(s). Published by ASERS Publishing 2024. This is an open access article distributed under the terms of CC-BY 4.0 license.