AN ECONOMETRIC APPROACH TO TOURISM DEMAND: EVIDENCE FROM TURKEY

Yıl 2015, Cilt: 64 Sayı: 2, 99 - 109, 01.08.2015

Mehmet Yılmaz Buse Büyüm

https://doi.org/10.1501/Commua1_0000000737

Öz

This study focuses on modelling tourism demand with using number of tourists who came to Turkey between the years 1966-2012 (47 years)and bed numbers belonging to accommodation facilities with tourism operation licensed. The number of tourists and beds have only been reached dealingwith the years 1966-2012. Except from these variables, many variables such asstates investment incentives on tourism, tourism revenues, the annual averagetemperature, the parity of foreign currency like Euro, dollar and power of purchasing in the country could be taken into account. The aim of this paper is tocreate a forecasting model about the number of coming tourists and to provideprior information for tourism policies by regarding introduced models. In thissense, forecasting of international tourist arrivals for 2013-2020 is purposed

Anahtar Kelimeler

Tourism demand, tourism demand modelling, forecasting, inversemodels, time series models, exponential smoothing models

Kaynakça

• Akdi, Y. Zaman Serileri Analizi (Birim Kökler ve Kointegrasyon), 2nd Ed., Ankara, Gazi Kitabevi. 2010.
• Bahar,O ve Kozak, M. Türkiye Turizminin Akdeniz Ülkeleri ile Rekabet Gücü Açısından Kar¸sıla¸stırılması, Anatolia: Turizm Ara¸stırmaları Dergisi, Vol. 16, No 2, Güz, pp. 139-152, (2005).
• Chen, K.Y. Combining Linear and Nonlinear Model In Forecasting Tourism Demand, Expert Systems with Applications, 38, pp. 10368–10376, (2011).
• Dwyer, L. Gill, A. and Seetaram, N. Handbook of Research Methods in Tourism: Quantitative and Qualitative Approaches, Edward Elgar Pub, 2012.
• Granger, C.W.J. and Newbold, P. Spurious Regressions In Econometrics, Journal of Econo- metrics 2, pp. 111-120, (1974).
• Gujarati, M. and Porter, D. Temel Ekonometri, Translation from 5th Ed. (Ümit ¸Senesen and Gülay Günlük ¸Senesen), ·Istanbul, Literatür Yayıncılık, 2012.
• Song, H. and Witt, S.F. Tourism Demand Modelling and Forecasting: Modern Econometric Approaches, Oxford: Pergamon, 2000.
• Song, H. and Li, G. Tourism Demand Modelling and Forecasting, A Review of Recent Re- search Tourism Management, 29 (2), pp. 203 – 220, ISSN 0261-5177, (2008).
• Song, H Tourism Demand Modelling and Forecasting: How Should Demand Be Measured?, Tourism Economics, 16 (1), pp. 63–81, (2010).
• Statistics of TUROFED are accessed from < http://www.turofed.org.tr/Bilgi-Edinme_13.aspx> on 27th June 2013.