Journals / Zonguldak Karaelmas Üniversitesi Sosyal Bilimler Dergisi / 2010 / Cilt: 6 - Sayı: 11

Türkiye'ye yönelik turist akımının belirleyicileri: Panel çekim modelinden bulgular

Determinants of tourist inflows in Turkey: Evidence from panel Gravity Model

Pages
33–45
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Though the results are highly sensitive to the specification of the model both in terms of the significance and sign of the coefficients, all variables (i.e. the economic size, population and distance) seem to have significant effect on tourist inflows.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Turkey is one of the foremost destinations in the world and today, tourism sector has gained importance in the Turkish economy.
📊
Key Findings & Data:With a tourism revenue of 16.9 billion USD, Turkey has placed 9th among the top 10 highest revenue earned countries.
💡
Conclusion & Impact:Though the results are highly sensitive to the specification of the model both in terms of the significance and sign of the coefficients, all variables (i.e. the economic size, population and distance) seem to have significant effect on tourist inflows.
🔬Design:Modeling & Simulation
📍Scope:2007 Verileri
⚙️Variables:Domain Parameters

Abstract

Turkey is one of the foremost destinations in the world and today, tourism sector has gained importance in the Turkish economy. With a tourism revenue of 16.9 billion USD, Turkey has placed 9th among the top 10 highest revenue earned countries. Nevertheless, it cannot be said that Turkey fully uses her tourism potential which stems from her geographical and historical wealth. Therefore, in order to develop the sector in a most planned and controlled manner, it is important to determine the factors which have impact on Turkey’s tourist inflows. In this paper, we aimed to investigate these effective factors based on a panel gravity model framework for the period of 1992-2007. Though the results are highly sensitive to the specification of the model both in terms of the significance and sign of the coefficients, all variables (i.e. the economic size, population and distance) seem to have significant effect on tourist inflows.

Özet

Günümüzde Türkiye dünyanın önde gelen turizm destinasyonlarından biridir ve turizm Türkiye ekonomisi içinde giderek önem kazanmaktadır. Türkiye 16,9 milyar dolarlık turizm geliri ile ilk 10 ülke içinde 9. sıradadır. Bununla birlikte, Türkiye’nin coğrafî ve tarihî zenginliğinden kaynaklanan turizm potansiyelini tam olarak kullandığı söylenemez. Bu nedenle sektörün daha plânlı ve kontrollü bir şekilde geliştirilmesi açısından Türkiye’ye yönelik turist akımı üzerinde etkili olan faktörlerin belirlenmesi önem arz etmektedir. Bu çalışmada 1992-2007 dönemi için, çekim modeli yapısı içinde bu faktörler araştırılmaya çalışılmıştır. Her ne kadar sonuçlar katsayıların işaret ve anlamlılığı açısından modelin biçimine duyarlı olsa da tüm değişkenler (yani, ekonomik büyüklük, nüfus ve uzaklık) turist akımı üzerinde anlamlı etkiye sahip görünmektedir.

🔖

Cite This Article

KARAGÖZ, K., SARAY, M. (2022). Türkiye'ye yönelik turist akımının belirleyicileri: Panel çekim modelinden bulgular. Zonguldak Karaelmas Üniversitesi Sosyal Bilimler Dergisi, Cilt: 6 - Sayı: 11, 33–45. https://ajindex.com/articles/426088

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (7)

  1. Antonucci, Daniele and Stefano Manzocchi (2005), “Does Turkey have a Special Trade Relation with the EU? A Gravity Model Approach”, http://papers.ssrn.com /sol3/papers.cfm?abstract_id=609881 (14.7.2009).
  2. Aslan, Alper, Muhittin Kaplan and Ferit Kula (2008), “International Tourism Demand for Turkey: A Dynamic Panel Data Approach”, Munich Personal RePEc Archive (MPRA), Paper No.10601. Bahar, Ozan (2006), “The Effect of Tourism Sector on the Economic Growth of Turkey: VAR Analysis Approach”, Celal Bayar University, FEAS, Yönetim ve Ekonomi, 13 (2), pp.137-150 (In Turkish). Batra, Amita (2004), India’s Trade Potential: The Gravity Model Approach, Working Paper No.151, Indian Council for Research on International Economic Relations. Bos, J.W.B. ve M. van de Laar, (2004),Explaining Foreign Direct Investment in Central and Eastern Europe: An Extended Gravity Approach, DNB Working Papers, 008, Netherlands Central Bank. Bussiére, Matthieu and Bernd Schnatz (2006), Evaluating China’s Integration in World Trade with a Gravity Model Based Benchmark, Working Paper No.693, European Central Bank. Durbarry, Ramesh (2000), “Tourism Expenditure in the UK: Analysis of Competitiveness Using a Gravity-based Model”, Christel DeHaan Tourism and Research Institute, Nottingham University, Research Paper, No. 2000/1. Egger, Peter (2000), “A Note on the Proper Econometric Specification of the Gravity Equation”, Economics Letters, 66, pp.25-31.
  3. Egger, Peter (2005), “Alternative Techniques for Estimation of Cross-Section Gravity Models”, Review of International Economics, (13) 5, pp.881-891.
  4. Eita, Joel H. ve Andre C. Jordaan (2007), “Estimating the Tourism Potential in Namibia”, Munich Personal RePEc Archive (MPRA), Paper No.5788, p.26 Gil-Pajera, Salvador, Rafael Llorca-Vivero and Jose A. Martinez-Serrano (2007), “The Effect of EMU on Tourism”, Review of International Economics, 15 (2). Gündüz, Lokman and Abdulnaser Hatemi-J (2005), “Is the Tourism-led Growth Hypothesis Valid for Turkey?”, Applied Economics Letters, 12, pp.499-504.
  5. Halıcıoğlu, Ferda (2004) “An ARDL Model of International Tourist Flows to Turkey”, Global Business and Economics Review 2004 Anthology, pp.614-624.
  6. İçöz, Orhan., Turgut Var and Metin Kozak (1998) “Tourism Demand in Turkey”, Annals of Tourism Research, 25, pp.236-240.
  7. Kaplan, Muhittin and Tuncay Çelik (2008), “The Impact of Tourism on Economic Performance: The Case of Turkey”, International Journal of Applied Economics and Finance, 2 (1), pp.13-18. Karagöz,