The Impact of Aviation Sector on Economic Growth: The Case of India

Sümeyye Yavuz; Melih Yıldız

Makale detayları

The Impact of Aviation Sector on Economic Growth: The Case of India

Yazarlar:

Sümeyye Yavuz | Melih Yıldız

Yayıncı:

Erciyes University

Ana Başlıklar:

Zaman Serileri Analizi

Dergi:

Journal of Aerospace Science and Management Vol.2 Issue 2, pp.23-41

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001313118

pISSN:

3023-5928

Anahtar kelimeler:

Özet:

 The aviation industry has been experiencing rapid growth in the twenty-first century and its economic contributions have been widely discussed in the academic literature. The main objective of this study is to empirically evaluate the aviation-led growth hypothesis by examining the causality relationship between the aviation sector and economic growth in India. In this context, data for the period 1980-2021 are analyzed using Dynamic Ordinary Least Square DOLS, Fully Modified Ordinary Least Square FMOLS and Canonical Cointegrating Regression CCR methods. The results of the analysis revealed that the findings of the CCR model are consistent with the FMOLS and DOLS estimation methods. According to the CCR results of the first model, a 1 increase in the number of passengers increases GDP by 0.10. According to the CCR results of the second model, a 1 increase in cargo volume increases GDP by 0.07. These findings suggest that growth in the aviation sector has a positive and significant impact on the Indian economy.

 The aviation industry has been experiencing rapid growth in the twenty-first century and its economic contributions have been widely discussed in the academic literature. The main objective of this study is to empirically evaluate the aviation-led growth hypothesis by examining the causality relationship between the aviation sector and economic growth in India. In this context, data for the period 1980-2021 are analyzed using Dynamic Ordinary Least Square DOLS, Fully Modified Ordinary Least Square FMOLS and Canonical Cointegrating Regression CCR methods. The results of the analysis revealed that the findings of the CCR model are consistent with the FMOLS and DOLS estimation methods. According to the CCR results of the first model, a 1 increase in the number of passengers increases GDP by 0.10. According to the CCR results of the second model, a 1 increase in cargo volume increases GDP by 0.07. These findings suggest that growth in the aviation sector has a positive and significant impact on the Indian economy.

 The aviation industry has been experiencing rapid growth in the twenty-first century and its economic contributions have been widely discussed in the academic literature. The main objective of this study is to empirically evaluate the aviation-led growth hypothesis by examining the causality relationship between the aviation sector and economic growth in India. In this context, data for the period 1980-2021 are analyzed using Dynamic Ordinary Least Square DOLS, Fully Modified Ordinary Least Square FMOLS and Canonical Cointegrating Regression CCR methods. The results of the analysis revealed that the findings of the CCR model are consistent with the FMOLS and DOLS estimation methods. According to the CCR results of the first model, a 1 increase in the number of passengers increases GDP by 0.10. According to the CCR results of the second model, a 1 increase in cargo volume increases GDP by 0.07. These findings suggest that growth in the aviation sector has a positive and significant impact on the Indian economy.

 Havacılık endüstrisi, yirmi birinci yüzyılda hızlı bir büyüme sergilemekte olup, bu büyümenin ekonomik katkıları akademik literatürde geniş bir şekilde ele alınmaktadır. Bu çalışmanın temel amacı da Hindistanda havacılık sektörü ile ekonomik büyüme arasındaki nedensellik ilişkisini inceleyerek, havacılık öncülüğünde büyüme hipotezini ampirik olarak değerlendirmektir. Bu bağlamda, 1980-2021 dönemlerine ait veriler Dinamik En Küçük Kareler Dynamic Ordinary Least Square  DOLS, Tam Değiştirilmiş En Küçük Kareler Fully Modified Ordinary Least Square  FMOLS ve Klasik Koentegrasyon Regresyonu Canonical Cointegrating Regression  CCR yöntemleri kullanılarak analiz edilmiştir. Analiz sonuçları, CCR modelinin bulgularının FMOLS ve DOLS tahmin yöntemleriyle uyumlu olduğunu ortaya koymuştur. Birinci modelin CCR sonuçlarına göre, yolcu sayısındaki 1lik artışın GSYİHyı 0,10 oranında artırdığı belirlenmiştir. İkinci modelin CCR sonuçlarına göre ise, yük miktarındaki 1lik artışın GSYİHyı 0,07 oranında artırdığı sonucuna ulaşılmıştır. Bu bulgular, havacılık sektöründeki büyümenin Hindistan ekonomisi üzerinde olumlu ve anlamlı bir etkiye sahip olduğunu göstermektedir.

Makale detayları

The Impact of Aviation Sector on Economic Growth: The Case of India

Yazarlar:

Sümeyye Yavuz | Melih Yıldız

Yayıncı:

Erciyes University

Ana Başlıklar:

Zaman Serileri Analizi

Dergi:

Journal of Aerospace Science and Management Vol.2 Issue 2, pp.23-41

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001313118

pISSN:

3023-5928

Aviation sector

Economic growth

India

Causality

Havacılık sektörü

Ekonomik büyüme

Hindistan

Nedensellik

Sayı

Makale detayları

Yazarlar: Sümeyye Yavuz | Melih Yıldız

Yayıncı: Erciyes University

Ana Başlıklar: Zaman Serileri Analizi

Dergi: Journal of Aerospace Science and Management Vol.2 Issue 2, pp.23-41

Belge Tipi: Makale

Yayın Tarihi: 1/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001313118

pISSN: 3023-5928

Sayı

Yazarlar:

Sümeyye Yavuz | Melih Yıldız

Yayıncı:

Erciyes University

Ana Başlıklar:

Zaman Serileri Analizi

Dergi:

Journal of Aerospace Science and Management Vol.2 Issue 2, pp.23-41

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001313118

pISSN:

3023-5928