The AIDS Model of Indonesia Tourism Price Competitiveness
DOI:
https://doi.org/10.61841/hn98pw17Keywords:
Tourism Price, Competitiveness, ElasticityAbstract
According to World Economic Forum (WEF) data of 2013, Indonesia's tourism price index is ranked 9 out of 140 countries in the world far beyond Malaysia and even Thailand. However, a low-price level does not guarantee high foreign exchange earnings of a tourism destination. If the demand for a destination is price inelastic, the price reduction strategy cannot increase the foreign exchange earnings of a destination. Therefore, the appropriate demand elasticity approach is used to measure tourism competitiveness in terms of price. This research uses model of Almost Ideal Demand System (AIDS). The value of price elasticity shows that Indonesia is more competitive than Thailand even by Australian and American tourists and more competitive than Malaysia by American tourists. The results also show that the price of tourism is the main determinant affecting the allocation of tourist spending in the three destinations. By knowing the position of Indonesia's competitiveness of tourism to competitor countries, it is necessary to apply different promotion strategies for each country of the tourist market according to its demand characteristics. This research proposes policy recommendation in the form of the need to apply the increasing of foreign exchange earnings of tourism sector in Indonesia, among others the need of pricing strategy, domestic inflation stability, monetary price trend of competitor country, and tourism industry cooperation.
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References
[1] Blanke, J., & Chiesa, T. (2013). The Travel &Tourism Competitiveness Report2013: ReducingBarriers to
Economic Growth and Job Creation. Geneva, Switzerland: World Economic Forum.
[2] Cortes-Jimenez, I., Durbarry, R., &Pulina, M. (2009).Estimation of outbound Italiantourismdemand:
amonthly dynamicEC-LAIDS model. Tourism Economics, 15 (3), 547—565.
[3] Crouch, G.I. (1996). Demand Elasticitiesin International Marketing: a Meta-Analytical Application of
Tourism. Journal of Business Research, 36,117-136.
[4] Crouch, G.I. &Ritchie, J.R.B. (1999). Tourism, Competitiveness, and Societal Prosperity. Journal of
Business Research, 44, 137-152.
[5] Darvas, Z. (2012). Real Effective Exchange Rates for 178 Countries: a New Database. Bruegel Working
Paper 2012/06, http://www.bruegel.org
[6] DeMello, M., Pack, A., & Sinclair, M. T. (2002). A System of Equations Model of UKTourism Demandin
Neighbouring Countries. Applied Economics, 34 (4), 509-521.
[7] Deaton, A. S., &Muellbauer, J.(1980). Analmostideal demand system. American Economic Review, 70(3),
312—326.
[8] Divisekera,S.(2003).A Modelof Demand for International Tourism. Annuals ofTourism Research, 30, 31-
49.
[9] d’Harteserre, A. (2000). Lessonsin Managerial Destination Competitivenessinthe Case of Foxwoods
Casino Resort. Tourism Management, 21(1),23-32.
[10] Durbarry, R., & Sinclair, M.T. (2003). Market Shares Analysis: the Case of French Tourism Demand.
Annuals of Tourism Research, 30 (4), 927—941.
[11] Dwyer, L., Forsyth, P., & Rao, P. (2000). The Price Competitiveness of Travel and Tourism: a Comparison
of 19 Destinations. Tourism Management, 21 (1), 9—22.
[12] EuromonitorInternational (2012a, August). Tourism Flows Inbound in Thailand. October10, 2013,
http://portal.euromonitor.com.
[13] EuromonitorInternational (2013a, September). Tourism Flows Inbound in Indonesia. October10, 2013,
http://portal.euromonitor.com.
[14] Euromonitor International (2013b, September).Tourism Flows Inbound in Malaysia. October10, 2013,
http://portal.euromonitor.com.WorldTourismOrganization.(2011).Tourism towards 2030/Global Overview.
Madrid, Spain: UNWTO,http://www.unwto.org.
[15] Forsyth, P., &Dwyer, L. (2009). Tourism Price Competitiveness. The Travel &Tourism Competitiveness
Report, chapter 1.6. World EconomicForum.
[16] Go, F., &Govers, R. (2000). Integrated Quality Management for Tourist Destinations: a European
Perspectives on Achieving Competitiveness. Tourism Management, 21 (1), 79-88.
[17] Li, G., Song, H., & Witt, S. F. (2004). Modelling Tourism Demand: a Dynamic Linear AIDS Approach.
Journal of Travel Research, 43, 141—150.
[18] Li,G., Song, H., Cao, Z., &Wu,D.C. (2013). How Competitive isHongkong against its Competitors?An
Econometric Study. Tourism Management, 36, 247-256.
[19] Lyssiotou, P. (2000). Dynamic Analysis of British Demand for Tourism Abroad. Empirical Economics, 15,
421-436.
[20] Mangion, M., Durbarry, R., & Sinclair, M. T. (2005). Tourism Competitiveness: Price and Quality.
Tourism Economics, 11 (1), 45—68.
[21] Martin, C., & Witt, S. (1987). Tourism Demand Forecasting Models: Choice of Appropriate Variable to
Represent Tourist’s Cost of Living. Tourism Management, 8, 233—246.
[22] Morley, C. L. (1994). The use of CPI for Tourism Prices in Demand Modelling. Tourism Management, 15
(5), 342—346.
[23] Nachrowi, D. N., &Usman, H. (2006).Pendekatan Populer dan Praktis Ekonometrikauntuk Analisis
Ekonomi danKeuangan. Jakarta: Lembaga Penerbit Fakultas Ekonomi Universitas Indonesia.
[24] Prideaux, B.(2000). The Role of the Transport System in Destination Development. Tourism Management,
21(1), 53—64.
[25] Ritchie, J. R. B., &Crouch, G. I. (2003).The Competitive Destination: A Sustainable Tourism Perspective.
Wallingford: CABI Publishing.
[26] Song, H., Li, G., Witt, S. F., &Fei, B. (2010).Tourism Demand Modelling and Forecasting: How Should
Demand be Measured? Tourism Economics, 16(1), 63-81.
[27] Stone, J. R. N. (1954). LinearExpenditure Systems and Demand Analysis: an Applicationtothe Pattern of British Demand. Economic Journal, 64, 511-527.
[28] Wang, K-L., &Wu, C-S. (2003). A Study of Competitiveness of International Tourism in the Southeast Asian Region. NBER East Asia Seminar on Economics (EASE), 11, 315—345. University of Chicago Press, National Bureau of Economic Research.
[29] World Tourism Organization. (2013a). CompendiumofTourism Statistics, Data 2007—2011, 2013 edition.
Madrid, Spain: UNWTO, http://www.unwto.org.
[30] World Tourism Organization. (2013b). UNWTO Tourism Highlights, 2013 edition. Madrid, Spain:
UNWTO. http://www.unwto.org.
[31] World Tourism Organization. (2013c). UNWTO World Tourism Barometer, volume 11, October 2013. Madrid, Spain: UNWTO, http://www.unwto.org.
[32] World Tourism Organization. (2013d). YearbookofTourism Statistics, Data 2007—2011, 2013 edition. Madrid, Spain: UNWTO, http://www.unwto.org.www.worldbank.orgwww.pata.org
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