Yazar "Ozer, Mustafa" seçeneğine göre listele

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    The effects of tourism demand on regional sectoral employment in Turkey
    (Hungarian Central Statistical Office, 2021) Kirca, Mustafa; Ozer, Mustafa
    This study aims to examine the effects of total, foreign and domestic tourism demand on sectoral employment in regions, based on the level 2 of the Nomenclature of Territorial Units for Statistics (NUTS2) classification determined by the Turkish Statistics Institute (TurkSTAT). For this purpose, we study the impact of tourism demand on overall and sectoral employment in the regions of Turkey between 2004 and 2013, using the Random Coefficients Regression model developed by Swamy. The main results of the study indicate that the contribution of tourism demand, both foreign and domestic to employment, differs across the regions and sectors. Also, the results show that tourism's employment contribution to the industrial sector is the highest. Moreover, the employment contribution of tourism demand is negative for some regions. The employment contribution of domestic tourists' stays is greater than that of foreigners. Based on the results of this study, we can conclude that tourism demand can be used as an effective tool to reduce differences in regional developmental level and increase the contribution to both regional and sectoral employment. There is an urgent need to either develop new tourism policies or revise existing ones so that the county and regions can benefit from investing in the tourism sector.
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    THE IMPACT OF TOURISM DEMAND ON REGIONAL INFLATION IN TURKEY
    (Geografski Inst Jovan Cvijic Sasa, 2020) Kirca, Mustafa; Ozer, Mustafa
    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.