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G20 ÜLKELERİNİN HAVACILIK PERFORMANSININ İNCELENMESİ

Yıl 2026, Cilt: 9 Sayı: 19, 63 - 88, 31.01.2026
https://doi.org/10.55830/tje.1740475

Öz

Bu çalışmada, G20 ülkelerinin havacılık sektöründeki 2023 yılı performansı karşılaştırmalı
olarak analiz edilmiştir. Amaç, ülkelerin mevcut kaynaklarla sektörel çıktılarını ne ölçüde
maksimize edebildiklerini ortaya koymaktır. Girdiler (ticari havalimanı sayısı, havacılık
yatırımı, toplam çalışan sayısı) ve çıktılar (yıllık yolcu trafiği, kargo hacmi, havacılığın
ekonomik katkısı) dikkate alınmıştır. Türkiye, ABD, Almanya, İngiltere, Çin, Fransa,
Güney Kore, Endonezya, Arjantin, İtalya ve Güney Afrika'nın tam verimli olduğu
görülmüştür. Buna karşılık, Avustralya, Brezilya, Hindistan, Japonya, Kanada, Meksika,
Meksika ve Suudi Arabistan verimlilik eşiğinin altında kalmıştır. Özellikle Güney Kore ve
ABD, birçok ülke için en örnek referans birimleri olarak öne çıkmaktadır. Bulgular,
havacılık sektöründe kaynakların daha verimli kullanılması için politika önerileri
sunmaktadır.

Kaynakça

  • Acer, A., & Timor, M. (2017). Kümeleme ve veri zarflama analizi (DEA) ile konteyner terminal etkinliklerinin belirlenmesi. Alphanumeric Journal, 5(2), 339–352. https://doi.org/10.17093/alphanumeric.356455
  • Asker, V. (2018). Veri Zarflama Analizi ile Finansal ve Operasyonel Etkinlik Ölçümü: Geleneksel Havayolu İşletmelerinde Bir Uygulama. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 18(1), 153-172. https://doi.org/10.18037/ausbd.550951
  • Asker, V., & Aydın, N. (2021). Financial Efficiency Measurement in Airlines and Determining Factors of Efficiency. Alanya Akademik Bakış, 5(2), 793-814. https://doi.org/10.29023/alanyaakademik.809865
  • Avcı, T., & Aktaş, M. (2017). Ülkeler Bazında Katılım Bankacılığının Performanslarının Karşılaştırılması. International Journal of Social Science Research, 6(2), 66-82. https://dergipark.org.tr/tr/pub/ijssresearch/issue/33589/362255
  • Avcı, T., & Aktaş, M. (2016). Türkiye’de Faaliyet Gösteren Havalimanlarının Performanslarının Değerlendirilmesi. Uluslararası Alanya İşletme Fakültesi Dergisi, 7(3). https://dergipark.org.tr/tr/pub/uaifd/issue/21604/232042
  • Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078–1092. https://doi.org/10.1287/mnsc.30.9.1078
  • Barros, C., & Dieke, P. (2007). Performance evaluation of Italian airports: A data envelopment analysis. Journal of Air Transport Management, 13, 184–191. https://doi.org/10.1016/j.jairtraman.2007.03.001
  • Bazargan, M., & Vasigh, B. (2003). Size versus efficiency: A case study of US commercial airports. Journal of Air Transport Management, 9, 187–193. https://doi.org/10.1016/S0969-6997(02)00084-4
  • Bourjade, S., & Muller-Vibes, C. (2023). Optimal leasing and airlines’ cost efficiency: A stochastic frontier analysis. Transportation Research Part A: Policy and Practice, 176, 103804. https://doi.org/10.1016/j.tra.2023.103804
  • Boussofiane, A., Dyson, R. G., & Thanassoulis, E. (1991). Applied data envelopment analysis. European Journal of Operational Research, 52(1), 1–15. https://doi.org/10.1016/0377-2217(91)90331-O
  • Budak, H. (2011). Veri Zarflama Analizi ve Türk Bankacılık Sektöründe Uygulaması. Marmara Fen Bilimleri Dergisi, 23(3), 95-110. https://doi.org/10.7240/mufbed.41004
  • Button, K., & Pels, E. (2010). International air transport: The impact of globalisation on activity levels. https://doi.org/10.1787/9789264072916-6-en
  • Bloom, N., & Van Reenen, J. (2010). Why do management practices differ across firms and countries? Journal of Economic Perspectives, 24(1), 203–224. https://doi.org/10.1257/jep.24.1.203
  • Koç, E., & Çalıpınar, H. (2017). Comparison of Turkish Airports Efficiency with FarePrimont and Malmquist Productivity Index. International Journal of Academic Values Studies(8), 77-87. https://dergipark.org.tr/en/pub/ijavs/issue/28371/301664
  • Carvalho, F. R. (2025, June 25). Unlocking Brazil’s aviation potential. International Airport Review. https://www.internationalairportreview.com/article/283816/unlocking-brazils-aviation-potential/
  • Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
  • Chen, Y., Cheng, S., & Zhu, Z. (2021). Exploring the operational and environmental performance of Chinese airlines: A two-stage undesirable SBM-NDEA approach. Journal of Cleaner Production, 289, 125711. https://doi.org/10.1016/j.jclepro.2020.125711
  • Competition Bureau Canada. (2025, June 19). Backgrounder: Unique air travel challenges for northern and remote communities. Government of Canada. https://www.canada.ca/en/competition-bureau/news/2025/06/backgrounder-unique-air-travel-challenges-for-northern-and-remote-communities.html
  • Coto-Millán, P., Inglada, V., Fernández, X. L., Inglada-Pérez, L., & Pesquera, M. Á. (2016). The “effect procargo” on technical and scale efficiency at airports: The case of Spanish airports (2009–2011). Utilities Policy, 39, 29–35. https://doi.org/10.1016/j.jup.2016.01.004
  • Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Data envelopment analysis: A comprehensive text with models, applications, references and DEA-solver software (2nd ed.). Springer. https://doi.org/10.1007/978-0-387-45283-8
  • Cui, Q., & Yu, L.-T. (2021). A review of data envelopment analysis in airline efficiency: State of the art and prospects. Journal of Advanced Transportation, 2021, 1–13. https://doi.org/10.1155/2021/2931734
  • Çınaroğlu, E., Doruk, N., & Avcı, T. (2018). ERCİYES ÜNİVERSİTESİ FAKÜLTELERİNİN VERİ ZARFLAMA ANALİZİ YÖNTEMİYLE ETKİNLİK ANALİZİ. Uluslararası Yönetim İktisat Ve İşletme Dergisi, 14(4), 1025-1043. https://doi.org/10.17130/ijmeb.2018445668
  • Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253–290. https://doi.org/10.2307/2343100
  • Güner, S., Antunes, J. J. M., Codal, K. S., & Wanke, P. (2024). Network centrality driven airport efficiency: A weight-restricted network DEA. Journal of Air Transport Management, 116, 102551. https://doi.org/10.1016/j.jairtraman.2024.102551
  • Hong, H.-J., Cho, Y.-H., & Yoon, Y.-H. (2024, March 11). Korean government unveils plans to promote aviation industry. Invest Korea. https://www.investkorea.org/ik-en/bbs/i-465/detail.do?ntt_sn=492480
  • ICAO. (2022). World air transport statistics. International Civil Aviation Organization. https://www.icao.int
  • IATA. (2023). Value of air transport country reports. International Air Transport Association. https://www.iata.org
  • Koçak, H. (2011). Efficiency examination of Turkish airports with DEA approach. International Business Research, 4(2), 204–212. https://doi.org/10.5539/ibr.v4n2p204
  • Martí, L., Martín, J. C., & Puertas, R. (2017). A Dea-Logistics Performance Index. Journal of Applied Economics, 20(1), 169–192. https://doi.org/10.1016/S1514-0326(17)30008-9
  • Merkert, R., & Hensher, D. (2011). The impact of strategic management and fleet planning on airline efficiency: A random effects Tobit model based on DEA efficiency scores. Transportation Research Part A: Policy and Practice, 45, 686–695. https://doi.org/10.1016/j.tra.2011.04.015
  • NineSquared. (2024, August 4). Seven challenges for regional and remote airports. https://ninesquared.com.au/insights/seven-challenges-for-regional-and-remote-airports/
  • Nguyen, M.-A. T., Yu, M.-M., & Lirn, T.-C. (2022). Revenue efficiency across airline business models: A bootstrap non-convex meta-frontier approach. Transport Policy, 117, 108–117. https://doi.org/10.1016/j.tranpol.2022.01.007 Mhlanga, O.; Drivers of efficiency and their influence on airline performances in South Africa: a bootstrapped meta-frontier approach. International Journal of Culture Tourism and Hospitality Research 20 February 2020; 14 (1): 121–135. https://doi.org/10.1108/IJCTHR-06-2019-0109
  • Örkcü, H. H., Balıkçı, C., Doğan, M. İ., & Genç, A. (2016). An evaluation of the operational efficiency of Turkish airports using data envelopment analysis and the Malmquist productivity index: 2009–2014 case. Transport Policy, 48, 92–104. https://doi.org/10.1016/j.tranpol.2016.02.008
  • Özden, Ü. (2009). Veri zarflama analizi (VZA) ile Türkiye’deki vakıf üniversitelerinin etkinliğinin ölçülmesi. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 37(2), 167-185. https://dergipark.org.tr/en/pub/iuisletme/issue/9243/115660
  • Pels, E., Nijkamp, P., & Rietveld, P. (2003). Inefficiencies and scale economies of European airport operations. Transportation Research Part E: Logistics and Transportation Review, 39, 341–361. https://doi.org/10.1016/S1366-5545(03)00016-4
  • Saranga, H., & Nagpal, R. (2016). Drivers of operational efficiency and its impact on market performance in the Indian airline industry. Journal of Air Transport Management, 53, 165–176. https://doi.org/10.1016/j.jairtraman.2016.03.001
  • Tunç, S., Gök, A., Vural, A., Sarıkaya, M. E., Karaaslan, A. A., & Çayır Ervural, B. (2024). Turkey ve G‑20 Countrylerinin havacılık sektöründe etkinlik analizi. Aerospace Research Letters (ASREL), 3(1), 44–68. https://doi.org/10.56753/ASREL.2024.3.2
  • Uygurtürk, H., & Korkmaz, T. (2016). Borsa İstanbul’da işlem gören perakende ticaret sektörü firmalarının etkinliklerinin veri zarflama analizi ile belirlenmesi. Balkan Sosyal Bilimler Dergisi, 411-427 https://dergipark.org.tr/tr/pub/bsbd/issue/43860/539498
  • Uzgören, E., & Şahin, G. (2013). Dumlupınar Üniversitesi meslek yüksekokulları’nın performanslarının veri zarflama analizi yöntemiyle ölçümü. Uluslararası Yönetim İktisat ve İşletme Dergisi, 9(18), 91-110. https://doi.org/10.11122/ijmeb.2013.9.18.148
  • Yilmaz, M. K., Kusakci, A. O., Aksoy, M., & Hacioglu, U. (2022). The evaluation of operational efficiencies of Turkish airports: An integrated spherical fuzzy AHP/DEA approach. Applied Soft Computing, 119, 108620. https://doi.org/10.1016/j.asoc.2022.108620
  • Wang, Z., Zhu, X., Zhang, H., & Boocock, A. (2023). Study on non-aeronautical efficiency of Chinese listed airports based on two-stage network DEA. Research in Transportation Business & Management, 46, 100867. https://doi.org/10.1016/j.rtbm.2022.100867

EXAMINATION OF THE AVIATION PERFORMANCE OF G20 COUNTRIES

Yıl 2026, Cilt: 9 Sayı: 19, 63 - 88, 31.01.2026
https://doi.org/10.55830/tje.1740475

Öz

In this study, the performance of G20 countries in the aviation sector in 2023 is analyzed
comparatively. The aim is to reveal the extent to which countries are able to maximize
their sectoral outputs with the available resources. Inputs (number of commercial airports,
aviation investment, total number of employees) and outputs (annual passenger traffic,
cargo volume, economic contribution of aviation) are considered. Turkey, USA, Germany,
UK, China, France, South Korea, Indonesia, Argentina, Italy and South Africa were found
to be fully efficient. In contrast, Australia, Brazil, India, Japan, Japan, Canada, Mexico,
Mexico and Saudi Arabia were below the efficiency threshold. In particular, South Korea
and the USA stand out as the most exemplary reference units for many countries. The
findings provide policy recommendations for more efficient use of resources in the
aviation sector.

Kaynakça

  • Acer, A., & Timor, M. (2017). Kümeleme ve veri zarflama analizi (DEA) ile konteyner terminal etkinliklerinin belirlenmesi. Alphanumeric Journal, 5(2), 339–352. https://doi.org/10.17093/alphanumeric.356455
  • Asker, V. (2018). Veri Zarflama Analizi ile Finansal ve Operasyonel Etkinlik Ölçümü: Geleneksel Havayolu İşletmelerinde Bir Uygulama. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 18(1), 153-172. https://doi.org/10.18037/ausbd.550951
  • Asker, V., & Aydın, N. (2021). Financial Efficiency Measurement in Airlines and Determining Factors of Efficiency. Alanya Akademik Bakış, 5(2), 793-814. https://doi.org/10.29023/alanyaakademik.809865
  • Avcı, T., & Aktaş, M. (2017). Ülkeler Bazında Katılım Bankacılığının Performanslarının Karşılaştırılması. International Journal of Social Science Research, 6(2), 66-82. https://dergipark.org.tr/tr/pub/ijssresearch/issue/33589/362255
  • Avcı, T., & Aktaş, M. (2016). Türkiye’de Faaliyet Gösteren Havalimanlarının Performanslarının Değerlendirilmesi. Uluslararası Alanya İşletme Fakültesi Dergisi, 7(3). https://dergipark.org.tr/tr/pub/uaifd/issue/21604/232042
  • Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078–1092. https://doi.org/10.1287/mnsc.30.9.1078
  • Barros, C., & Dieke, P. (2007). Performance evaluation of Italian airports: A data envelopment analysis. Journal of Air Transport Management, 13, 184–191. https://doi.org/10.1016/j.jairtraman.2007.03.001
  • Bazargan, M., & Vasigh, B. (2003). Size versus efficiency: A case study of US commercial airports. Journal of Air Transport Management, 9, 187–193. https://doi.org/10.1016/S0969-6997(02)00084-4
  • Bourjade, S., & Muller-Vibes, C. (2023). Optimal leasing and airlines’ cost efficiency: A stochastic frontier analysis. Transportation Research Part A: Policy and Practice, 176, 103804. https://doi.org/10.1016/j.tra.2023.103804
  • Boussofiane, A., Dyson, R. G., & Thanassoulis, E. (1991). Applied data envelopment analysis. European Journal of Operational Research, 52(1), 1–15. https://doi.org/10.1016/0377-2217(91)90331-O
  • Budak, H. (2011). Veri Zarflama Analizi ve Türk Bankacılık Sektöründe Uygulaması. Marmara Fen Bilimleri Dergisi, 23(3), 95-110. https://doi.org/10.7240/mufbed.41004
  • Button, K., & Pels, E. (2010). International air transport: The impact of globalisation on activity levels. https://doi.org/10.1787/9789264072916-6-en
  • Bloom, N., & Van Reenen, J. (2010). Why do management practices differ across firms and countries? Journal of Economic Perspectives, 24(1), 203–224. https://doi.org/10.1257/jep.24.1.203
  • Koç, E., & Çalıpınar, H. (2017). Comparison of Turkish Airports Efficiency with FarePrimont and Malmquist Productivity Index. International Journal of Academic Values Studies(8), 77-87. https://dergipark.org.tr/en/pub/ijavs/issue/28371/301664
  • Carvalho, F. R. (2025, June 25). Unlocking Brazil’s aviation potential. International Airport Review. https://www.internationalairportreview.com/article/283816/unlocking-brazils-aviation-potential/
  • Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
  • Chen, Y., Cheng, S., & Zhu, Z. (2021). Exploring the operational and environmental performance of Chinese airlines: A two-stage undesirable SBM-NDEA approach. Journal of Cleaner Production, 289, 125711. https://doi.org/10.1016/j.jclepro.2020.125711
  • Competition Bureau Canada. (2025, June 19). Backgrounder: Unique air travel challenges for northern and remote communities. Government of Canada. https://www.canada.ca/en/competition-bureau/news/2025/06/backgrounder-unique-air-travel-challenges-for-northern-and-remote-communities.html
  • Coto-Millán, P., Inglada, V., Fernández, X. L., Inglada-Pérez, L., & Pesquera, M. Á. (2016). The “effect procargo” on technical and scale efficiency at airports: The case of Spanish airports (2009–2011). Utilities Policy, 39, 29–35. https://doi.org/10.1016/j.jup.2016.01.004
  • Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Data envelopment analysis: A comprehensive text with models, applications, references and DEA-solver software (2nd ed.). Springer. https://doi.org/10.1007/978-0-387-45283-8
  • Cui, Q., & Yu, L.-T. (2021). A review of data envelopment analysis in airline efficiency: State of the art and prospects. Journal of Advanced Transportation, 2021, 1–13. https://doi.org/10.1155/2021/2931734
  • Çınaroğlu, E., Doruk, N., & Avcı, T. (2018). ERCİYES ÜNİVERSİTESİ FAKÜLTELERİNİN VERİ ZARFLAMA ANALİZİ YÖNTEMİYLE ETKİNLİK ANALİZİ. Uluslararası Yönetim İktisat Ve İşletme Dergisi, 14(4), 1025-1043. https://doi.org/10.17130/ijmeb.2018445668
  • Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253–290. https://doi.org/10.2307/2343100
  • Güner, S., Antunes, J. J. M., Codal, K. S., & Wanke, P. (2024). Network centrality driven airport efficiency: A weight-restricted network DEA. Journal of Air Transport Management, 116, 102551. https://doi.org/10.1016/j.jairtraman.2024.102551
  • Hong, H.-J., Cho, Y.-H., & Yoon, Y.-H. (2024, March 11). Korean government unveils plans to promote aviation industry. Invest Korea. https://www.investkorea.org/ik-en/bbs/i-465/detail.do?ntt_sn=492480
  • ICAO. (2022). World air transport statistics. International Civil Aviation Organization. https://www.icao.int
  • IATA. (2023). Value of air transport country reports. International Air Transport Association. https://www.iata.org
  • Koçak, H. (2011). Efficiency examination of Turkish airports with DEA approach. International Business Research, 4(2), 204–212. https://doi.org/10.5539/ibr.v4n2p204
  • Martí, L., Martín, J. C., & Puertas, R. (2017). A Dea-Logistics Performance Index. Journal of Applied Economics, 20(1), 169–192. https://doi.org/10.1016/S1514-0326(17)30008-9
  • Merkert, R., & Hensher, D. (2011). The impact of strategic management and fleet planning on airline efficiency: A random effects Tobit model based on DEA efficiency scores. Transportation Research Part A: Policy and Practice, 45, 686–695. https://doi.org/10.1016/j.tra.2011.04.015
  • NineSquared. (2024, August 4). Seven challenges for regional and remote airports. https://ninesquared.com.au/insights/seven-challenges-for-regional-and-remote-airports/
  • Nguyen, M.-A. T., Yu, M.-M., & Lirn, T.-C. (2022). Revenue efficiency across airline business models: A bootstrap non-convex meta-frontier approach. Transport Policy, 117, 108–117. https://doi.org/10.1016/j.tranpol.2022.01.007 Mhlanga, O.; Drivers of efficiency and their influence on airline performances in South Africa: a bootstrapped meta-frontier approach. International Journal of Culture Tourism and Hospitality Research 20 February 2020; 14 (1): 121–135. https://doi.org/10.1108/IJCTHR-06-2019-0109
  • Örkcü, H. H., Balıkçı, C., Doğan, M. İ., & Genç, A. (2016). An evaluation of the operational efficiency of Turkish airports using data envelopment analysis and the Malmquist productivity index: 2009–2014 case. Transport Policy, 48, 92–104. https://doi.org/10.1016/j.tranpol.2016.02.008
  • Özden, Ü. (2009). Veri zarflama analizi (VZA) ile Türkiye’deki vakıf üniversitelerinin etkinliğinin ölçülmesi. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 37(2), 167-185. https://dergipark.org.tr/en/pub/iuisletme/issue/9243/115660
  • Pels, E., Nijkamp, P., & Rietveld, P. (2003). Inefficiencies and scale economies of European airport operations. Transportation Research Part E: Logistics and Transportation Review, 39, 341–361. https://doi.org/10.1016/S1366-5545(03)00016-4
  • Saranga, H., & Nagpal, R. (2016). Drivers of operational efficiency and its impact on market performance in the Indian airline industry. Journal of Air Transport Management, 53, 165–176. https://doi.org/10.1016/j.jairtraman.2016.03.001
  • Tunç, S., Gök, A., Vural, A., Sarıkaya, M. E., Karaaslan, A. A., & Çayır Ervural, B. (2024). Turkey ve G‑20 Countrylerinin havacılık sektöründe etkinlik analizi. Aerospace Research Letters (ASREL), 3(1), 44–68. https://doi.org/10.56753/ASREL.2024.3.2
  • Uygurtürk, H., & Korkmaz, T. (2016). Borsa İstanbul’da işlem gören perakende ticaret sektörü firmalarının etkinliklerinin veri zarflama analizi ile belirlenmesi. Balkan Sosyal Bilimler Dergisi, 411-427 https://dergipark.org.tr/tr/pub/bsbd/issue/43860/539498
  • Uzgören, E., & Şahin, G. (2013). Dumlupınar Üniversitesi meslek yüksekokulları’nın performanslarının veri zarflama analizi yöntemiyle ölçümü. Uluslararası Yönetim İktisat ve İşletme Dergisi, 9(18), 91-110. https://doi.org/10.11122/ijmeb.2013.9.18.148
  • Yilmaz, M. K., Kusakci, A. O., Aksoy, M., & Hacioglu, U. (2022). The evaluation of operational efficiencies of Turkish airports: An integrated spherical fuzzy AHP/DEA approach. Applied Soft Computing, 119, 108620. https://doi.org/10.1016/j.asoc.2022.108620
  • Wang, Z., Zhu, X., Zhang, H., & Boocock, A. (2023). Study on non-aeronautical efficiency of Chinese listed airports based on two-stage network DEA. Research in Transportation Business & Management, 46, 100867. https://doi.org/10.1016/j.rtbm.2022.100867
Toplam 41 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İşletme
Bölüm Araştırma Makalesi
Yazarlar

Cem Kudu 0009-0003-9602-6212

Tunahan Avcı 0000-0003-0434-5834

Gönderilme Tarihi 11 Temmuz 2025
Kabul Tarihi 3 Kasım 2025
Yayımlanma Tarihi 31 Ocak 2026
Yayımlandığı Sayı Yıl 2026 Cilt: 9 Sayı: 19

Kaynak Göster

APA Kudu, C., & Avcı, T. (2026). EXAMINATION OF THE AVIATION PERFORMANCE OF G20 COUNTRIES. İstanbul Ticaret Üniversitesi Girişimcilik Dergisi, 9(19), 63-88. https://doi.org/10.55830/tje.1740475