• Mustafa Özer Anadolu University, Faculty of Economics and Administrative Sciences, Department of Economics, Eskişehir
  • Mustafa Kırca Düzce University, Akçakoca Bey Faculty of Political Sciences, Department of Economics, Akçakoca, Düzce



Turkey, tourism demand, inflation, random coefficient regression, cross-sectional dependence


The main purpose of this study is to examine the effects of total tourism demand as well as the effects of both foreign and domestic tourism demand (measured by overnight stays) on regional inflation in Turkey based on the Nomenclature of Territorial Units for Statistics regions classified by Turkish Statistical Institute. To obtain the region-specific effects of tourism demand on inflation, we used the Random Coefficient Regression developed by Swamy by using the annual panel data over the period between 2004 and 2013. Before estimating Swamy Random Coefficients Regressions, we first tested the existence of cross-sectional dependence among the regions of Turkey. And then, based on the results of these tests, we examined the stationarity properties of variables by using second-generation panel unit root tests. The results of the study indicate that there are significant differences in regional effects of different forms of overnight stays on regional inflation. Also, the results show that the contribution of domestic overnight stays to overall and regional inflation is greater than that of foreign overnight stays. Thus, the findings of the study have significant importance in Turkey for designing tourism, industrialization, and monetary policies, particularly aiming to reduce the inflation by adopting inflation targeting regime.

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Arbel, A., & Strebel, P. (1980). Money illusion and inflation management in tourism: The hotel industry case. Annals of Tourism Research, 7(3), 395–405.

Atasoy, B. S. (2017). Testing the environmental Kuznets curve hypothesis across the U.S.: Evidence from panel mean group estimators. Renewable and Sustainable Energy Reviews, 77, 731–747.

Atay Kayış, A., & Aygün, Ş. (2016). A model offer for explaining the effect of tourism sector on inflation in Turkey. International Journal of Business, Economics and Management Perspectives, 1(1), 38–57. Retrieved from

Baltagi, B. H. (2013). Econometric analysis of panel data (5th ed.). Chichester, UK: John Wiley & Sons.

Baltagi, B. H., Feng, Q., & Kao, C. (2012). A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model. Journal of Econometrics, 170(1), 164–177.

Breusch, T., & Pagan, A. (1980). The Lagrange Multiplier test and its application to model specification in econometrics. Review of Economic Studies, 47, 239–253.

Coltman, M. M. (1989). Introduction to travel and tourism: An international approach. New York, NY: Van Nostrand Reinhold.

Gee, C. Y., Makens, J. C., & Choy, D. J. (1997). The travel industry (3rd ed.). New York, NY: Van Nostrand Reinhold.

MapInfo software (version 12.5) (2017). Retrieved from

Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. IZA Discussion Paper No. 1240, 1–39. Retrieved from

Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312.

Pesaran, M. H., Ullah, A., & Yamagata, T. (2008). A bias-adjusted LM test of error cross-section independence. The Econometrics Journal, 11(1), 105–127.

Republic of Turkey Ministry of Culture and Tourism. (2020). Accommodation Statistics. Retrieved August 4, 2020, from

Shaari, M. S., Ahmad, T. S. T., & Razali, R. (2018). Tourism Led-Inflation: A case of Malaysia. MATEC Web of Conferences, 150, 06026.

Swamy, P. A. V. B. (1970). Efficient Inference in a Random Coefficient Regression Model. Econometrica, 38(2), 311–323.

Tang, C. F. (2011). An exploration of dynamic relationship between tourist arrivals, inflation, unemployment and crime rates in Malaysia. International Journal of Social Economics, 38(1), 50–69.

Tribe, J. (2011). The Economics of Recreation, Leisure and Tourism (4th ed.). Oxford, UK: Butterworth-Heinemann.

Turkish Statistics Institute. (2014). Regional Statistics. Retrieved December 14, 2014, from

Turkish Statistics Institute. (2020). Regional Statistics. Retrieved August 4, 2020, from

Vellas, F., & Bécherel, L. (1995). International Tourism: An Economic Perspective. Basingstoke, UK: Macmillan Education.

Yong, E.-L. (2014). Innovation, Tourism Demand and Inflation: Evidence from 14 European Countries. Journal of Economics, Business and Management, 2(3), 191–195.




How to Cite

Özer, M., & Kırca, M. (2020). THE IMPACT OF TOURISM DEMAND ON REGIONAL INFLATION IN TURKEY. Journal of the Geographical Institute “Jovan Cvijić” SASA, 70(3), 241–254.