Havayolu Taşımacılığı ile Ekonomik Büyüme Arasındaki Dinamik İlişki: BRICS-T Ülkeleri Örneği

Abstract

Bu çalışma, Brezilya, Rusya, Hindistan, Çin, Güney Afrika ve Türkiye'nin bulunduğu seçilmiş altı gelişmekte olan BRICS-T ülkesinin havayolu taşımacılığının ekonomik büyüme üzerindeki olası etkilerini incelemektedir. Havayolu taşımacılığı için havayolu yolcu ve havayolu yük taşımacılığı değişkenleri ele alınmıştır. Çalışma 1993’ten 2021’e kadar olan panel verilerin yıllık dönemlerini kapsamaktadır. Ampirik çıkarımlar yapmak için genelleştirilmiş en küçük kareler yöntemi testi uygulanmıştır. Uygulama sonucunda değişen varyans, otokorelasyon ve yatay kesit bağımlılık testleri yapılarak modelin uygunluğu test edilmiştir. Kurulan ilk sabit etkili modelde Wald test sonuçlarına göre modelde değişen varyans sorunun olduğu, Wooldridge (2002) testi sonuçlarına göre otokorelasyon sorunun olmadığı ve Breusch Pagan testi sonuçlarına göre ise yatay kesit bağımlılık sorununun olduğu söylenebilir. Bundan dolayı modelin standart hatalarına yönelik Driscoll-Kraay düzeltmesi yapılarak model yeniden tahmin edilmiştir. Bu çalışmanın bulguları, BRICS-T ülkelerinde havayolu ile taşınan yük miktarının ekonomik büyüme üzerinde pozitif, havayolu ile taşınan yolcu sayısının ise ekonomik büyüme üzerinde negatif etkili olduğunu göstermektedir. İyi kurgulanmış ve gelişmiş bir ulaştırma altyapısı, yolcu ve yük taşıma maliyetlerini azalmasına, transit ve aktarmalı havayolu taşımacılığının diğer ülkelerden bu ülkelere kaymasına sebep olabilir bu durum da ticaret ile turizm amaçlı ziyaretlerin genişlemesine yardımcı olarak ekonomik büyümeyi destekleyecektir.

Keywords

• Havayolu Taşımacılığı
• Ekonomik Büyüme
• Panel Veri Analizi

The Dynamic Relationship Between Airline Transportation and Economic Growth: The Sample of BRICS-T Countries

Abstract

This study examines the possible effects of airline transportation on the economic growth of six selected developing BRICS-T countries, including Brazil, Russia, India, China, South Africa and Turkey. For airline transportation, airline passenger and airline cargo transportation variables were discussed. The study covers the annual periods of panel data from 1993 to 2021. Generalized least squares method test was applied to make empirical inferences. As a result of the application, the suitability of the model was tested by performing heteroskedasticity, autocorrelation and cross-sectional dependency tests. In the first fixed effect model established, it can be said that there is a heteroscedasticity problem in the model according to the Wald test results, that there is no autocorrelation problem according to the Wooldridge (2002) test results, and that there is a cross-sectional dependency problem according to the Breusch Pagan test results. Therefore, the model was re-estimated by making Driscoll-Kraay correction for the standard errors of the model. The findings of this study show that the amount of cargo transported by airline has a positive effect on economic growth in BRICS-T countries, and the number of passengers carried by airline has a negative effect on economic growth. A well-constructed and developed transportation infrastructure can reduce passenger and cargo transportation costs and cause transit and connecting airline transportation to shift from other countries to these countries, which will support economic growth by helping to expand visits for trade and tourism purposes.

Keywords

• Airline Transportation
• Economic Growth
• Panel Data Analysis

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