Estimating International Tourism Demand using Cross-Sectional Regression: A Comparative Study on International Tourism Expenditure of Lower and Higher Income Economies

International Journal of Economics and Management Studies
© 2022 by SSRG - IJEMS Journal
Volume 9 Issue 5
Year of Publication : 2022
Authors : Muhammed Salim Anappattath, Shiby M Thoma
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Muhammed Salim Anappattath, Shiby M Thoma, "Estimating International Tourism Demand using Cross-Sectional Regression: A Comparative Study on International Tourism Expenditure of Lower and Higher Income Economies," SSRG International Journal of Economics and Management Studies, vol. 9,  no. 5, pp. 12-22, 2022. Crossref, https://doi.org/10.14445/23939125/IJEMS-V9I5P102

Abstract:

The present study attempts to identify the determinants of international tourism expenditure that proxies international tourism demand in three cases of economies such as overall economies case, higher-income economies case, and lower-income economies case. Income is the most relevant factor driving tourism demand, followed by tourist arrivals in all three cases of economies. Immigrant stock is a decisive factor driving tourism demand in the higher-income economies only as higher tourism expenditure is reported from the countries where migrant stock is greater. Migrant stock is indeed greater in advanced economies as well. While the Population is relevant only in higher-income economies, the urban Population makes at least some sense only in lower-income economies. The number of air passengers carried is irrelevant in explaining international tourism expenditure in all three cases.

Keywords:

International tourism expenditure, Income, Tourist arrivals, Immigrant stock, Tourism demand, Lower-income economies, Higher-income economies.

References:

[1] Alegre, J. & Pou, L. Microeconomic determinants of the probability of tourism consumption. Tourism Economics. 10(2) (2004) 125-144.
[2] Algieri, B. Econometric estimation of the demand for tourism: The case of Russia. Tourism Economics. 12(1) (2006) 05-20.
[3] Cho, V. A study of the non-economic determinants in tourism demand. International Journal of Tourism Research. Vol. 12 (2010) 307-320.
[4] Czepkiewicz, M., Heinonen, J. & Ottelin, J. Why do urbanites travel more than do others? A review of associations between urban form and long-distance leisure travel. Environmental Research Letters, Vol. 13, no. 7, (2018) Available: https://iopscience.iop.org/article/10.1088/1748-9326/aac9d2.
[5] Daniel, A.C.M. & Rodrigues, P.M.M. Assessing the impact of shocks on international tourism demand for Portugal. Tourism Economics. 18(3) (2012) 617-634.
[6] Divisekara, S. & Kulendran, N. Economic effects of advertising on tourism demand: A case study. Tourism Economics, 12(2) (2006) 187-205.
[7] Downward, P. & Lumsdon, L. Beyond the demand for day-visits: An analysis of visitor spending. Tourism Economics. 9(1), (2003) 67-76.
[8] Falk, M & Lin, X. Income elasticity of overnight stays over seven decades. Tourism Economics. 24(8) (2018) 1015-1028.
[9] Gani, A & Clemes, M. The main determinants affecting international visitor arrivals in New Zealand: Some empirical evidence. Tourism Economics. 23(5) (2017) 921-940.
[10] Garau-Vadell, J.B. & De-Juar-Vigaray, M.D. International residential tourist shopping styles: A study of British and German citizens in Spain. Tourism Economics. 23(3) (2017) 485-505.
[11] Ghosh, R.N. & Siddique, MAB. Tourism in the Indian Ocean Region. R.N. Ghosh, MAB Siddique and R Gabbay (Eds), 'Tourism and Economic Development. Hampshire, England: Ashgate Publishing Limited. (2003).
[12] Jingwen, W. & Mingzhu, L. Characteristics of visitor expenditure in Macao and their impact on its economic growth. Tourism Economics. 24(2) (2018) 218-233.
[13] Kim, N.G., Kim, T., Gazzoli, G., Park, Y., Kim, S.H. & Park, S. Factors affecting the travel expenditure of visitors to Macau, China. Tourism Economics. 17(4) (2011) 857-883.
[14] Lee, C. Major determinants of international tourism demand for South Korea. Journal of Travel & Tourism Marketing. 5(1), (1996) 101-118, DOI: 10.1300/J073v05n01_07.
[15] Lim, C.. An econometric classification and review of international tourism demand models. Tourism Economics. 3(1) (1997a) 69- 81.
[16] Lim, C. Review of international tourism demand models. Annals of Tourism Research. 24(4) (1997b) 835-849.
[17] Malec, L. & Abrham, J. Determinants of the tourism industry in selected European countries: A smooth partial least squares approach. Economic Research-Ekonomska Istraživanja. 29(1) (2016) 66-84, DOI: 10.1080/1331677X.2016.1156554.
[18] Marcussen, C.H. Determinants of tourist spending in cross-sectional studies and at Danish destinations. Tourism Economics. 17(4) (2011) 833-855.
[19] Moniz, A.I. A dynamic analysis of repeat visitors. Tourism Economics. 18 (3) (2012) 505-517.
[20] Naude, WA & Saayman, A. Determinants of tourist arrivals in Africa: A panel data regression analysis. Tourism Economics. 11(3) (2005) 365-391.
[21] Narayan, P.K. Fiji’s tourism demand: The ARDL approach to cointegration. Tourism Economics. 10(2) (2004) 193-206.
[22] Overfill, C. Co-integration analysis of quarterly European tourism demand in Tunisia. Tourism Management. 29(1) (2008) 127-137.
[23] Papatheodorou, A. & Song, H. International tourism forecasts: Time-series analysis of world and regional data. Tourism Economics. 11(1) (2005) 11-23.
[24] Ratha, D. Leveraging remittances and migration for development. Centre for Global Development (CGD) and the Center for International Development at Harvard University research conference Beyond the Fence: Research Lessons on How Immigration and Remittances Shape Global Development, Washington DC, (2009).
[25] Rathika, D., Mohapatra, S. & Scheja, E. Impact of migration on economic and social development: A review of evidence and emerging issues. (2011) World Bank Policy Research Working Paper 5558.
[26] Roget, F.M. & Gozalez, X.A.R. Rural tourism demand in Galicia, Spain. Tourism Economics. 12(1) (2006) 21-31.
[27] Rosello-Nadal, J & HE, J. Tourist arrivals versus tourism expenditures in modeling tourism demand. Tourism Economics. 26(8) (2019) 1311-1326, Doi: 10.1177/1354816719867810.
[28] Santos, G.E.D.O., Ramos, V. & Rey-Maquieira, J. Determinants of multi-destination tourism trips in Brazil. Tourism Economics. 18(6) (2012) 1331-1349.
[29] Shafiullah, M., Okafor, L.M. & Khalid, U. Determinants of international tourism demand: Evidence from Australian states and territories. Tourism Economics. 25(2) (2019) 274-296.
[30] Simpson, D. How does migration affect tourism flows?. (22 October 2010) Available: www.cabi.org/leisuretourism/mobile/news/21071.
[31] Song, H., Witt, S.F. & Li, G. Modelling and forecasting the demand for Thai tourism. Tourism Economics. 9(4) (2003) 363-387.
[32] Spasojevic, B., Lohmann, G. & Scott, N. Air transport and tourism – a systematic literature review (2000-2014). Current Issues in Tourism. (2017). DOI:10.1080/13683500.2017.1334762
[33] Tang, C.F. & Tan, E.C. The determinants of inbound tourism demand in Malaysia: Another visit with non-stationary panel data approach, Anatolia. (2015). Available: https://doi.org/10.1080/13032917.2015.1084345.
[34] Thrane, C. & Farstad, E. Tourists’ length of stay: The case of international summer visitors to Norway. Tourism Economics. 18(5) (2012) 1069-1082.
[35] UNWTO. ‘International tourism could decline by 60-80per cent in 2020: UN’. (May 7, 2020a). Available: https://www.unwto.org/news/covid-19-international-tourist-numbers-could-fall-60-80-in-2020
[36] UNWTO. ‘International tourism numbers down 65per cent in the first half of 2020, UNWTO reports. (Sep 15, 2020b) Available: https://www.unwto.org/news/international-tourist-numbers-down-65-in-first-half-of-2020-unwto-reports
[37] Uysal, M. & Crompton, J.L. Determinants of demand for international tourist flows to Turkey. Tourism Management. 5(4) (1984) 288-297.
[38] Vu, C. & Turner, L. Asia versus Oceania: Comparative net shifts in tourist arrivals. Tourism Economics. 12(4) (2006) 519-529.
[39] World Bank. World development indicators-Air transport, passengers carried (current US$). (2020c) Available: https://data.worldbank.org/indicator/IS.AIR.PSGR
[40] World Bank. World development indicators-GDP (current US$). (2020b) Available: https://data.worldbank.org/indicator/NY.GDP.MKTP.CD
[41] World Bank. World development indicators-International migrant stock, total. (2020e) Available: https://data.worldbank.org/indicator/SM.POP.TOTL
[42] World Bank. World development indicators-International tourism, number of arrivals (thousands). (2020f) Available: https://data.worldbank.org/indicator/ST.INT.ARVL
[43] World Bank. World development indicators-International tourism expenditure (current US$). (2020a) Available: https://data.worldbank.org/indicator/ST.INT.XPND.CD Muhammed Salim Anappattath & Shiby M Thomas/ IJEMS, 9(5), 12-22, 2022 22
[44] World Bank. World development indicators-Population, total (thousands). (2020d) Available: https://data.worldbank.org/indicator/SP.POP.TOTL
[45] World Bank. World development indicators-Urban Population (percent of total population). (2020g) Available: https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS
[46] Wu, W., Su, Q., Li, C., Yan, C. & Gozgor, G. Urbanization, disasters, and tourism development: Evidence from RCEP countries. Sustainability, (2020) doi: 10.3390/su12031221
[47] Zamparini, L., Vergori, A.S. & Arima, S. Assessing the determinants of local tourism demand: A simultaneous equations model for the Italian provinces. Tourism Economics. 23(5) (2017) 981-992