What Drive International Tourism Visitors in Asean and Asia Pacific Countries?
DOI:
https://doi.org/10.18502/kss.v10i5.18122Keywords:
tourism, exchange rate, living cost, criminal, pollutionAbstract
This study will analyze some factors that influence on international tourism visitors. Almost all determine factor from social and several economic factors. The subject observations in this research are ASEAN countries (Indonesia, Malaysia, Thailand, and Philippines) and four Asia Pacific countries (Korea, Japan, China, and India) and we called ASEAN plus 4. This research was estimated by the panel model with time observation from 2009 until 2020. Using the panel model, the dependent variable in this study is international tourism arrivals. The independent variables include the nominal effective exchange rate, real effective exchange rate, infrastructure index, criminal index, safety index, pollution index, and living cost index. The result of almost all variables are normally distributed. Meanwhile, cointegration test shows all of the variables cointegrated on the first derivative logarithm, so there is a long-term relationship between variables at the rate of change. The random effect panel model was indicated the whole variable was significant to the international tourist arrivals in ASEAN plus 4 countries. Another evidence from the result, the conclusion that appreciation of the exchange rate made bring down of international tourist visitors. However, decreasing on exchange rate raise of international tourist. The other result expressed the raise of criminality and safety made declines the number of international tourist visitors, the increasing on pollution and living cost made increasing the number of international tourism arrivals. The conclusion that several economic and social factors such as a depreciation of exchange rate and the increase in the cost of living and pollution had a positive and significant impact on the rise of international tourist arrivals. However, the appreciation in the exchange rate, raise on criminality and safety had an impact on declining on international tourists.
References
World Tourism Organization (UNWTO). UNWTO World Tourism Barometer 2010- 2020 Edition. Available from: https://www.e-unwto.org/toc/wtobarometereng/17/2 (accessed 17 June 2020).
Zerva K. Crime and Tourism: Organizational Opportunities and Social Mar- keting in La Gang Tours. J Tourism Cult Change. 2013;11(1-2):92-108. https://doi.org/10.1080/14766825.2013.799174 DOI: https://doi.org/10.1080/14766825.2013.799174
Johnny L, Jordan LA. Tourism and Crime in The Caribbean: A Case Study of St Lucia. Annals of Leisure Research. 2011;10( 3-4):475-497. https://doi.org/10.1080/11745398.2007.9686777 DOI: https://doi.org/10.1080/11745398.2007.9686777
Michalko G. Tourism Eclipsed by Crime: The Vulnerability of Foreign Tourists in Hungary. J Travel Tourism Mark. 2008;15(2-3):159-172. https://doi.org/10.1300/J073v15n02_09 DOI: https://doi.org/10.1300/J073v15n02_09
Imikan AM, Ekpo KJ. Infrastructure and Tourism Development in Nigeria: The Case Study of Rivers State. J Econ Dev Res Invest. 2012;3(2):53-60.
Khadaroo J, Seetanah B. The Role of Transport Infrastructure in International Tourism Development: a Gravity Model Approach. Tourism Manag. 2008;29(5):831–840. https://doi.org/10.1016/j.tourman.2007.09.005
Doerr L, Dorn F, Gaebler S, Fotrafke N. How New Airport Infrastructure Promotes Tourism: Evidence from A Synthetic Control Approach in German Region. Reg Stud Assoc. 2020;17(7):89-108. https://doi.org/10.1080/00343404.2020.1714022 DOI: https://doi.org/10.2139/ssrn.3518957
Panasiuk A. Tourism Infrastructure as a Determinant of Regional Development. Ekonomika ir Vadyba. 2007;1(8):212-215. https://doi.org/10.1007/978-3-030-59820-4_10 DOI: https://doi.org/10.1007/978-3-030-59820-4_10
Wang J, Liu-Lastres B, Shi Y, Li T. Thirty Years of Research on Tourism Safety and Security: A Comparative Automated Content Analysis Approach. J China Tourism Res. 2019;15(3). https://doi.org/10.1080/19388160.2019.1575779 DOI: https://doi.org/10.1080/19388160.2019.1575779
Shin Y. Safety, Security, and Peace Tourism: The Case of The DMZ Area. Asia Pac J Tourism Res. 2006;10(4):187-196. https://doi.org/10.1080/10941660500363777 DOI: https://doi.org/10.1080/10941660500363777
Zahed G, Behnas S, Mana K. Does security matter in tourism demand?. Curr Issues Tour. 2016;20(6). https://doi.org/10.1080/13683500.2016.1161603 DOI: https://doi.org/10.1080/13683500.2016.1161603
Hall CM, Timothy DJ, Duval DT. Security and tourism: towards a new understanding?. J Travel Tour Mark. 2008;15(2-3):1-18. https://doi.org/10.1300/J073v15n02_01 DOI: https://doi.org/10.1300/J073v15n02_01
Deng T, Li X, Ma M. Evaluating impact of air pollution on China’s inbound tourism industry: a spatial econometric approach. Asia Pac J Tour Res. 2017;22(7). https://doi.org/10.1080/10941665.2017.1331923 DOI: https://doi.org/10.1080/10941665.2017.1331923
Sáenz-de-Miera O, Rosselló J. Tropospheric ozone, air pollution and tourism: a case study of Mallorca. J Sustain Tour. 2013;21(8). https://doi.org/10.1080/09669582.2013.776061 DOI: https://doi.org/10.1080/09669582.2013.776061
Gao J, Zhang L. Exploring the dynamic linkages between tourism growth and environmental pollution: new evidence from the Mediterranean countries. Curr Issues Tour. 2019;26(2):89-102. https://doi.org/10.1080/13683500.2019.1688767 DOI: https://doi.org/10.1080/13683500.2019.1688767
Xu X, Reed M. Perceived pollution and inbound tourism for Shanghai: a panel VAR approach. Curr Issues Tour. 2018;22(5). https://doi.org/10.1080/13683500.2018.1504898 DOI: https://doi.org/10.1080/13683500.2018.1504898
Song H, Witt SF. Tourism demand modelling and forecasting – modern econometric approaches. 1st ed. Cambridge: Pergamon; 2018.
Proença SA, Soukiazis E. Demand for tourism in Portugal: a panel data approach. Document to de Trabalho Rabalho/Discussion Paper. 2005 Feb;29.
Aki S. A compact econometric model of tourism demand for Turkey. Tour Manag. 1998;19(1):99-102. https://doi.org/10.1016/S0261-5177(97)00097-6 DOI: https://doi.org/10.1016/S0261-5177(97)00097-6
Stucka T. A comparison of two econometric models (OLS and SUR) for forecasting Croatian tourism arrivals. Croatian National Bank; 2002. Avail- able from: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.hnb.hr%2Frepec%2Fhnb%2Fwpaper%2Fpdf%2Fw-008.pdf;h=repec:hnb:wpaper:8
Naude WA, Saayman A. Determinants of tourist arrivals in Africa: a panel data regression analysis. Tour Econ. 1998;11(3):365–391. https://doi.org/10.5367/000000005774352962 DOI: https://doi.org/10.5367/000000005774352962
Phakdisoth L, Kim D. The determinants of inbound tourism in Laos. ASEAN Econ Bull. 2007;24(2):225–237. https://doi.org/10.1355/ae24-2c DOI: https://doi.org/10.1355/AE24-2C
Garín-Mu noz T. Inbound international tourism to Canary Islands: a dynamic panel data model. Tour Manag. 2006;27(2):281–291. https://doi.org/10.1016/J.TOURMAN.2004.10.002 DOI: https://doi.org/10.1016/j.tourman.2004.10.002
Dritsakis N, Athanasiadis S. An econometric model of tourist demand: the case of Greece. J Hosp Leis Mark. 2000;7(2):39–49. https://doi.or/10.35808/ersj/34 DOI: https://doi.org/10.1300/J150v07n02_03
Leitao NC. Does trade help to explain tourism demand? The case of Portugal. Theor Appl Econ. 2010;17(3):63–74. Available from: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fstore.ectap.ro%2Farticole%2F451.pdf;h=repec:agr:journl:v:3(544):y:2010:i:3(544):p:63-74
Garín-Mu noz T, Amaral T. An econometric model for international tourism flows to Spain. Appl Econ. 2000;7(8):525–529. https://doi.org/10.1080/13504850050033319
Athanasopoulos G, Hyndman RJ. Modelling and forecasting Australian domes- tic tourism. Tour Manag. 2008;29(1):19–31. https://doi.org/10.1016/j.tourman.2007.04.009 DOI: https://doi.org/10.1016/j.tourman.2007.04.009
Loeb P. International travel in the United States: an economic evaluation. Ann Tour Res. 1982;9(1):42–55. https://doi.org/10.1016/0160-7383(82)90031-7 DOI: https://doi.org/10.1016/0160-7383(82)90031-7
González P, Moral P. An analysis of the international tourism demand in Spain. Int J Forecast. 1995;11(2):233–251. Available from: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2F0169-2070%2894%2900570-3;h=repec:eee:intfor:v:11:y:1995:i:2:p:233-251
Tse R. Estimating the impact of economic factors on tourism: evidence from Hong Kong. Tour Econ. 2001;7(3):277–293. Available from: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fjournals.sagepub.com%2Fdoi%2F10.5367%2F000000001101297874;h=repec:sae:toueco:v:7:y:2001:i:3:p:277-293
De Mello MM, Pack A, Sinclair MT. A system of equations model of UK tourism demand in neighbouring countries. Appl Econ. 2002;34(4):509–521. https://doi.org/10.1080/00036840110049310 DOI: https://doi.org/10.1080/00036840110049310
Song H, Li G. Tourism demand modeling and forecasting: a review of recent research. Tour Manag. 2008;29(2):203–220. https://doi.org/10.1016/j.tourman.2007.07.016 DOI: https://doi.org/10.1016/j.tourman.2007.07.016
Lim C. Review of international tourism demand models. Ann Tour Res. 1997;24(4):835–849. https://doi.org/10.1016/S0160-7383(97)00049-2 DOI: https://doi.org/10.1016/S0160-7383(97)00049-2
Gray HP. The demand for international travel by United States and Canada. Int Econ Rev. 1966;7(1):83–92. https://doi.org/10.2307/2525372 DOI: https://doi.org/10.2307/2525372
Kwack SY. Effects of income and prices on travel spending abroad, 1960 III-1967 IV. Int Econ Rev. 1972;13(2):245–256. https://doi.org/10.2307/2526023 DOI: https://doi.org/10.2307/2526023
Garín-Mu noz T, Amaral T. An econometric model for international tourism flows to Spain. Appl Econ. 2000;7(8):525–529. https://doi.org/10.1080/13504850050033319 DOI: https://doi.org/10.1080/13504850050033319
Song H, Witt SF, Li G. Modelling and forecasting the demand for Hong Kong tourism. Int J Hosp Manag. 2003;22(4):435–451. https://doi.org/10.1016/S0278-4319(03)00047-1 DOI: https://doi.org/10.1016/S0278-4319(03)00047-1
Ledesma Rodríguez FJ, Navarro-Ibá nez M, Perez-Rodriguez JV. Panel data and tourism: a case study of Tenerife. Tour Econ. 2001;7(1):75–88. https://doi.org/10.5367/000000001101297748 DOI: https://doi.org/10.5367/000000001101297748
Habibi F, Rahim K, Ramachandran S, Chin LF. Dynamic model for international tourism demand for Malaysia: panel data evidence. J Travel Res. 2009;33:207–217. https://doi.org/10.1177/0047287514528283 DOI: https://doi.org/10.1177/0047287514528283
Hanafi R, Harun M. Tourism demand in Malaysia: a cross-sectional pool time-series analysis. Int J Trade Econ Fin. 2010;1(1):15. https://doi.org/10.7763/IJTEF.2010.V1.15 DOI: https://doi.org/10.7763/IJTEF.2010.V1.15
Lim C, Zhu L, Koo TR. Urban redevelopment and tourism growth: relationship between tourism infrastructure and international visitor flows. Int Tour Res. 2018;21(2):187–196. http://dx.doi.org/10.1002/jtr.2253 DOI: https://doi.org/10.1002/jtr.2253
Seetanah B, Lamport M, Sannassee RV. Does infrastructure matter in tourism development? Univ Mauritius Res J. 2011;17(7):89–108. https://doi.org/10.4314/umrj.v17i1.70731 DOI: https://doi.org/10.4314/umrj.v17i1.70731
Biaga B, Detotto C. Crime as tourism externality. Reg Stud. 2014;48(4):693– 709. Available from: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F00343404.2011.649005;h=repec:taf:regstd:v:48:y:2014:i:4:p:693-709
Burkart AJ, Medlik S. Tourism: past, present and future. Oxford: Heinemann; 1981. Available from: https://archive.org/search.php?query=external-identifier%3A%22urn%3Alcp%3Atourismpastprese0000burk%3Aepub%3A4e5bd634-7042-462a-b56b-b9eda4452935%22
Walsh M. Demand analysis in Irish tourism. J Stat Soc Inquiry Soc Irel. 1996;27(4):1– 35. https://doi.org/10.5367/te.2011.0039 DOI: https://doi.org/10.5367/te.2011.0039
Khadaroo J, Seetanah B. The role of transport infrastructure in international tourism development: a gravity model approach. Tour Manag. 2008;29(5):831–840. https://doi.org/10.1016/j.tourman.2007.09.005 DOI: https://doi.org/10.1016/j.tourman.2007.09.005
Archibald X, La Corbinière J, Moorev W. Analysis of tourism competitive- ness in the Caribbean: a gravity model approach. Presented at the 29th Annual Review Seminar Research Department Central Bank of Barbados; 2008. http://dx.doi.org/10.18356/da5b2081-en DOI: https://doi.org/10.18356/da5b2081-en
Görmüs S, Göçer I. The socio-economic determinant of tourism demand in Turkey: a panel data approach. J Finance Econ. 2010;55:88–99. http://www.eurojournals.com/finance.htm
Martin CA, Witt SF. Tourism demand forecasting models: choice of appropriate variable to represent tourists’ cost of living. Tour Manag. 1987;8(3):233–246. https://doi.org/10.1016/0261-5177%2887%2990055-0 DOI: https://doi.org/10.1016/0261-5177(87)90055-0
Morley C. The use of CPI for tourism prices in demand modelling. Tour Manag. 1994;15(5):342–346. https://doi.org/10.1016/0261-5177%2894%2990088-4 DOI: https://doi.org/10.1016/0261-5177(94)90088-4
Dritsakis N. Cointegration analysis of German and British tourism demand for Greece. J Tourism Manag. 2004;25(1):111–119. https://doi.org/10.1016/S0261-5177(03)00061-X DOI: https://doi.org/10.1016/S0261-5177(03)00061-X
Garín-Mu noz T, Montero-Martin LF. Tourism in the Balearic Islands: a dynamic model for international demand using panel data. J Tourism Manag. 2007;28(5):1224–1235. https://doi.org/10.1016/J.TOURMAN.2006.09.024 DOI: https://doi.org/10.1016/j.tourman.2006.09.024
Song H. Modeling and forecasting the demand for Thai tourism. Tour Econ. 2003;9(4):363–387. https://doi.org/10.5367/000000003322663186 DOI: https://doi.org/10.5367/000000003322663186