Karadeniz Bölgesine Gelen Yabancı Turistlerin Talebinin Belirleyicileri : Ampirik Bir Analiz

Abstract

Türkiye, önemli küresel turizm destinasyonları arasında yer almaktadır. Bu çalışma, Karadeniz Bölgesi’ne yönelik yabancı turistlerin turizm talebine yönelik belirleyicilik özelliklerini incelemeyi amaçlamaktadır. Bölgeye gelen yabancı turist sayıları ile çeşitli ekonomik faktörler arasındaki ilişkiyi test etmek amacıyla bir panel veri yaklaşımı kullanmıştır. Açıklayıcı değişkenler arasında GSYİH, reel döviz kuru, satın alma gücü pariteleri bulunmaktadır. Araştırma sonuçları, bölgeye gelen yabancı turist sayısıile GSYİH ve nüfusu arasında bağlantı olduğunu ortaya çıkarmıştır. Ancak Karadeniz Bölgesine gelen yabancı turist sayısı ile reel döviz kuru ve satın alma gücü pariteleri arasında etkileşim anlamlı çıkmamıştır. Bulgular, turistlerin talebinde etki eden farklı sosyoekonomik ve politik faktörleri test etmek için daha fazla araştırma yapılması gerektiğini ortaya çıkarmıştır.

Keywords

• Turizm
• Turizm talebi
• Panel Veri Yaklaşımı
• Karadeniz Bölgesi

Determinants of the Inbound Tourism in Black Sea Region: An Empirical Analysis

Abstract

Turkey is among the most important global tourist destinations with a significant share of tourism in the Gross Domestic Product (GDP). This study aims to analyse the determinants of inbound tourism demand in the Black Sea Region of Turkey. A panel data approach is used to test the relationship between inbound tourist arrivals and various economic factors. The explanatory variables include GDP, real exchange rate, purchasing power parities and population. The results revealed GDP and population as significant determinants of inbound tourism development in the region. However, the real exchange rate and purchasing power parities did not prove significant in the findings. The findings highlight the need for further studies at the regional level to test different socioeconomic and political factors involved in the development of tourism.

Keywords

• Tourism
• Tourism Demand
• Panel Data Approach
• Black Sea Region

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