Tourism Demand Index and its Correlation with Standard of Living in EU Countries

• Autorzy: Anetta Majchrzak-Jaszczyk
• Języki publikacji: EN

Abstrakty

EN

Tourism is one of the fastest growing industries in the world. This study proposes construction of tourism demand index and direct application of this index to rank chosen countries. The second aim is to analyze if the place in ranking is correlated with citizens' standard of living. Six measures of tourism demand for 27 EU countries were collected from Eurostat for the year 2019. As a standard of living measure, Human Development Index (HDI) was taken. As a result, high and positive correlation between almost all types of tourism demand indexes and HDI was noticed. The place of a particular country in the ranking depends on the kind of tourism demand measure, which was used. The method of constructing tourism demand index proposed in the article can be used for other group of countries or regions.(original abstract)

Słowa kluczowe

EN

Tourist demand; Ranking; Correlation

PL

Popyt turystyczny; Ranking; Korelacja

• Czasopismo: Turystyka i Rozwój Regionalny
• Rocznik: 2022
• Tom: 17
• Strony: 69--80

Twórcy

autor

Anetta Majchrzak-Jaszczyk

• Akademia Wychowania Fizycznego Józefa Piłsudskiego w Warszawie

Bibliografia

• Baggio, R. (2019). Measuring tourism: methods, indicators, and needs. In: C., Cooper, E., Fayos-Solá (ed.). The Future of Tourism: Innovation and Sustainability. Springer, Cham, p. 255-269. DOI: https://doi.org/10.1007/978-3-319-89941-1_13
• Bernini, C., Cracolici, M.F. (2016). Is participation in the tourism market an opportunity for everyone? Some evidence from Italy. Tourism Economics 22 (1), p. 57-79. DOI: https://doi.org/10.5367/ te.2014.0409
• Bernini, C., Ruizhe, F. (2021). Living standard and Chinese tourism participation. International Journal of Tourism Research 23 (3), p. 287-300. DOI: https://doi.org/10.1002/jtr.2406
• Cheng, K.M. (2012). Tourism demand in Hong Kong: income, prices, and visa restrictions. Current Issues in Tourism 15 (3), p. 167-181. DOI: https://doi.org/10.1080/13683500.2011.569011
• Fredman, P., Wikström, D. (2018). Income elasticity of demand for tourism at Fulufjället National Park. Tourism Economics 24 (1), p. 51-63. DOI: https://doi.org/10.1177%2F1354816617724012
• Human Development Index. Available online: https://hdr.undp.org/en/content/human-development****index-hdi (access: 15.05.2022).
• Li, H., Hu, M., Li, G. (2020). Forecasting tourism demand with multisource big data. Annals of Tourism Research 83. DOI: https://doi.org/10.1016/j.annals.2020.102912
• Jiao, X., Chen, J.L., Li, G. (2021). Forecasting tourism demand: Developing a general nesting spatiotem****poral model. Annals of Tourism Research 90. DOI: 10.1016/j.annals.2021.103277
• Menegaki, A., Tiwari, A., Agiomirgianakis, G. (2020). Asymmetries in European inbound and outbound tourism: Normal, luxury or inferior good? Fresh evidence from a quantile regression. European Journal of Tourism Research 25, 2508. DOI: https://doi.org/10.54055/ejtr.v25i.423
• Meo, M.S., Chowdhury, M.A.F., Shaikh, G.M., Ali, M., Masood, S.S. (2018). Asymmetric impact of oil prices, exchange rate, and inflation on tourism demand in Pakistan: new evidence from nonlinear ARDL. Asia Pacific Journal of Tourism Research 23 (4), p. 408-422. DOI: https://doi.org/1 0.1080/10941665.2018.1445652
• Methodological Manual for Tourism Statistics. Version 3.1. Available online: https://ec.europa.eu/eurostat/documents/3859598/6454997/KS-GQ-14-013-EN-N.pdf (access: 03.01.2022).
• Nundy, S., Kakar, A., Bhutta, Z.A. (2022). The Status of Biomedical Research in Some Developing Coun The Status of Biomedical Research in Some Developing Countries. In: How to Practice Academic Medicine and Publish from Developing Countries? A Practical Guide. Singapore: Springer, p. 47-62. DOI: https://doi.org/10.1007/978-981-16-5248-6_6
• Rosselló-Nadal, J., Jianan, H. (2020). Tourist arrivals versus tourist expenditures in modelling tourism demand. Tourism Economics 26 (8), p. 1311-1326. DOI: https://doi.org/ 10.1177%2F1354816619867810
• Rudež Nemec, H. (2018). The Relationship between Income and Tourism Demand: Old Findings and New Research. Academica Turistica-Tourism and Innovation Journal 11(1), 67-72. DOI: https:// doi.org/10.26493/2335-4194.11.67-73
• Sakyi-Nyarko, C., Ahmad, A.H., Green, C.J. (2022). The role of financial inclusion in improving household well-being. Journal of International Development, p. 1-27 Downloaded from: https://onlineli****brary.wiley.com/doi/full/10.1002/jid.3661 (access: 22.05.2022). DOI: https://doi.org/10.1002/ jid.3661
• Shafiullah, M., Okafor, L.E., Khalid, U. (2019). Determinants of international tourism demand: Evidence from Australian states and territories. Tourism Economics 25 (2), p. 274-296. DOI: https://doi. org/10.1177%2F1354816618800642
• Smeral, E. (2003). A Structural View of Tourism Growth. Tourism Economics 9 (1), p. 77-93. DOI: https://doi.org/10.5367%2F000000003101298286
• Song, H., Li, G. (2008). Tourism demand modelling and forecasting - A review of recent research. Tourism Management 29 (2), p. 203-220. DOI: https://doi.org/10.1016/j.tourman.2007.07.016
• Song, H., Li, G., Witt ,S.F., Fei, B. (2010). Tourism demand modelling and forecasting: how should demand be measured?. Tourism Economics 16 (1), p. 63-81. DOI: https://doi.org/ 10.5367%2F000000010790872213
• Song, H., Qiu, R.T., Park, J. (2019). A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting. Annals of Tourism Research 75, p. 338-362. DOI: https://doi.org/10.1016/j.annals.2018.12.001
• Travel & Tourism Benchmarking Research Trends (2019). Available online: https://wttc.org/Portals/0/ Documents/Reports/2019/Benchmarking%20Trends%20Report%202019.pdf?ver=2021-02- 25-182807-540 (access: 16.01.2022).
• Travel and Tourism Economic Impact (2021). Available online: https://wttc.org/Portals/0/Documents/ Reports/2021/Global%20Economic%20Impact%20and%20Trends%202021.pdf (access: 16.01.2022).

Identyfikatory

DOI

10.22630/TIRR.2022.17.7