Araştırma Makalesi
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Determinants of Air Transport in the BRICS-T Countries: Findings from Panel Data Analysis

Yıl 2024, Cilt: 74 Sayı: 2, 377 - 400, 31.12.2024
https://doi.org/10.26650/ISTJECON2024-1325952

Öz

This paper examines the factors that determine air transport in the BRICS countries, which account for approximately 42% of the world’s population and occupy an important position among developing countries in terms of economic size. In more detail, in this study, air transport examines two different models, passenger and freight transport. The research is carried out for the period 1996-2020. Panel data methods were used as analysis methods. According to the results of the analysis, both air passenger transport and air freight transport act together with their macroeconomic and socioeconomic determinants in the long term. Income is positive and significant in the air passenger transportation model, while income is insignificant in the freight transportation model. In addition, inflation, exchange rate, industrialisation and urbanisation on a country basis are important determinants of both air passenger transport and air freight transport for BRICS-T.

JEL Classification : C23 , L93

Kaynakça

  • Adeniran, A. O., & Adeniran, A. A. (2017). Econometric modeling of passenger demand for international air transport in nigeria airports. American journal of traffic and transportation engineering, 2(4), 39-44. google scholar
  • Ali, R., Bakhsh, K., & Yasin, M. A. (2023). Causal nexus between air transportation and economic growth in BRICS countries. Journal of Air Transport Management, 107, 102335. google scholar
  • Balsalobre-Lorente, D., Driha, OM, Bekun, FV, & Adedoyin, FF (2020). The asymmetric impact of air transport on economic growth in Spain: fresh evidence from the tourism-led growth hypothesis. Current Issues in Tourism, 24 (4), 503-519. google scholar
  • Baltagi, B. (2008). Econometric Analysis Of Panel Data. John Wiley & Sons. google scholar
  • Castelli, L., Ukovich, W., & Pesenti, R. (2003). An airline-based multilevel analysis of airfare elasticity for passenger demand. In The Conference Proceedings of the 2003 Air Transport Research Society (ATRS) World Conference, Volume 2. google scholar
  • Chi, J., & Baek, J. (2013). Dynamic relationship between air transport demand and economic growth in the United States: A new look. Transport Policy, 29, 257-260. google scholar
  • Chou, Y. H. (1993). Nodal accessibility of air transportation in the United States, 19851989. Transportation planning and technology, 17(1), 25-37. google scholar
  • Chsherbakov, V. S., & Gerasimov, O. A. (2019). Air transport in Russia and its impact on the economy. Bulletin of Tomsk State University. Economy. 2019. No. 48, 283-304. google scholar
  • Chudik, A., & Pesaran, M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of econometrics, 188(2), 393-420. google scholar
  • Dargay, J., & Hanly, M. (2001). The determinants of the demand for international air travel to and from the UK. In 9th World Conference on Transport Research, Edinburgh, Scotland, May, 2021. google scholar
  • Dobruszkes, F., Lennert, M., & Van Hamme, G. (2011). An analysis of the determinants of air traffic volume for European metropolitan areas. Journal of Transport Geography, 19(4), 755-762. google scholar
  • Eberhardt, M. (2012). Estimating panel time-series models with heterogeneous slopes. The Stata Journal, 12(1), 61-71. google scholar
  • Eberhardt, M., & Bond, S. (2009). Cross-section dependence in nonstationary panel models: a novel estimator. MPRA Paper No. 17692, University Library of Munich. google scholar
  • Eberhardt, M., & Teal, F. (2010). Productivity Analysis in Global Manufacturing Production. Discussion Paper 515, Department of Economics, University of Oxford. google scholar
  • Franciscone, B. G., Zou, X., & Fernandes, E. (2024). The Global South Air transport Belt: A catalyst for sustainable tourism and economic growth. Transport Policy, 159, 14-27. google scholar
  • Fu, X., Oum, T. H., & Zhang, A. (2010). Air transport liberalization and its impacts on airline competition and air passenger traffic. Transportation Journal, 49(4), 24-41. google scholar
  • Goetz, A. R. (1992). Air passenger transportation and growth in the US urban system, 19501987. Growth and change, 23(2), 217-238. google scholar
  • Gudmundsson, S. V., Cattaneo, M., & Redondi, R. (2021). Forecasting temporal world recovery in air transport markets in the presence of large economic shocks: The case of COVID-19. Journal of Air Transport Management, 91, 102007. google scholar
  • Hakim, M. M., & Merkert, R. (2019). Econometric evidence on the determinants of air transport in South Asian countries. Transport Policy, 83, 120-126. google scholar
  • Hu, Y., Xiao, J., Deng, Y., Xiao, Y., & Wang, S. (2015). Domestic air passenger traffic and economic growth in China: Evidence from heterogeneous panel models. Journal of Air Transport Management, 42, 95-100. google scholar
  • IATA, (2023). The International Air Transport Association https://www.iata.org/en/iata-repository/ publications/economic-reports/air-passenger-market-analysis---june-2023/, Access date: 15.11.2024. google scholar
  • Law, C. C., Zhang, Y., Gow, J., & Vu, X. B. (2022). Dynamic relationship between air transport, economic growth and inbound tourism in Cambodia, Laos, Myanmar and Vietnam. Journal of Air Transport Management, 98, 102161. google scholar
  • Pacheco, R. R., & Fernandes, E. (2017). International air passenger traffic, trade openness and exchange rate in Brazil: A Granger causality test. Transportation Research Part A: Policy and Practice, 101, 22-29. google scholar
  • Pesaran, H, M. (2004). General diagnostic tests for cross section dependence in panels. Working Paper, No: 0435, University of Cambridge. google scholar
  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of applied econometrics, 22(2), 265-312. google scholar
  • Pesaran, M. H., & Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of econometrics, 68(1), 79-113. google scholar
  • Poore, J. W. (1993). Forecasting the demand for air transportation services. Journal of transportation engineering, 19(5), 22-34. google scholar
  • Swamy, P. A. (1970). Efficient inference in a random coefficient regression model. Econometrica: Journal of the Econometric Society, 311-323. google scholar
  • Tirtha, S. D., Bhowmik, T., & Eluru, N. (2023). Understanding the factors affecting airport level demand (arrivals and departures) using a novel modeling approach. Journal of Air Transport Management, 106, 102320. google scholar
  • Tolcha, T. D., Brâthen, S., & Holmgren, J. (2020). Air transport demand and economic development in sub-Saharan Africa: Direction of causality. Journal of Transport Geography, 86, 102771. google scholar
  • WB (2021). World Bank, Air Transport Annual Report 2020, https://documents1.worldbank.org/ curated/en/839601631518964272/pdf/Air-Transport-Annual-Report-2020.pdf, Access date: 15.11.2024. google scholar
  • [data set] WDI (2023), World Bank, World Development Indicators, https://databank.worldbank. org/source/world-development-indicators, Access date: 01.02.2023. google scholar
  • Westerlund, J., & Edgerton, D. L. (2007). A panel bootstrap cointegration test. Economics letters, 97(3), 185-190. google scholar
  • Yao, S., & Yang, X. (2012). Air transport and regional economic growth in China. Asia-Pacific Journal of Accounting & Economics, 19(3), 318-329. google scholar
  • Zhang, A., & Zhang, Y. (2002). Issues on liberalization of air cargo services in international aviation. Journal of Air Transport Management, 8(5), 275-287. google scholar
  • Zhang, F., & Graham, D. J. (2020). Air transport and economic growth: a review of the impact mechanism and causal relationships. Transport Reviews, 40(4), 506-528. google scholar
  • Zhang, Y., & Zhang, A. (2017). Air transport development: a comparative analysis of China and India. In Air transport liberalization, 7, 112-137, Edward Elgar Publishing. google scholar
Yıl 2024, Cilt: 74 Sayı: 2, 377 - 400, 31.12.2024
https://doi.org/10.26650/ISTJECON2024-1325952

Öz

Kaynakça

  • Adeniran, A. O., & Adeniran, A. A. (2017). Econometric modeling of passenger demand for international air transport in nigeria airports. American journal of traffic and transportation engineering, 2(4), 39-44. google scholar
  • Ali, R., Bakhsh, K., & Yasin, M. A. (2023). Causal nexus between air transportation and economic growth in BRICS countries. Journal of Air Transport Management, 107, 102335. google scholar
  • Balsalobre-Lorente, D., Driha, OM, Bekun, FV, & Adedoyin, FF (2020). The asymmetric impact of air transport on economic growth in Spain: fresh evidence from the tourism-led growth hypothesis. Current Issues in Tourism, 24 (4), 503-519. google scholar
  • Baltagi, B. (2008). Econometric Analysis Of Panel Data. John Wiley & Sons. google scholar
  • Castelli, L., Ukovich, W., & Pesenti, R. (2003). An airline-based multilevel analysis of airfare elasticity for passenger demand. In The Conference Proceedings of the 2003 Air Transport Research Society (ATRS) World Conference, Volume 2. google scholar
  • Chi, J., & Baek, J. (2013). Dynamic relationship between air transport demand and economic growth in the United States: A new look. Transport Policy, 29, 257-260. google scholar
  • Chou, Y. H. (1993). Nodal accessibility of air transportation in the United States, 19851989. Transportation planning and technology, 17(1), 25-37. google scholar
  • Chsherbakov, V. S., & Gerasimov, O. A. (2019). Air transport in Russia and its impact on the economy. Bulletin of Tomsk State University. Economy. 2019. No. 48, 283-304. google scholar
  • Chudik, A., & Pesaran, M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of econometrics, 188(2), 393-420. google scholar
  • Dargay, J., & Hanly, M. (2001). The determinants of the demand for international air travel to and from the UK. In 9th World Conference on Transport Research, Edinburgh, Scotland, May, 2021. google scholar
  • Dobruszkes, F., Lennert, M., & Van Hamme, G. (2011). An analysis of the determinants of air traffic volume for European metropolitan areas. Journal of Transport Geography, 19(4), 755-762. google scholar
  • Eberhardt, M. (2012). Estimating panel time-series models with heterogeneous slopes. The Stata Journal, 12(1), 61-71. google scholar
  • Eberhardt, M., & Bond, S. (2009). Cross-section dependence in nonstationary panel models: a novel estimator. MPRA Paper No. 17692, University Library of Munich. google scholar
  • Eberhardt, M., & Teal, F. (2010). Productivity Analysis in Global Manufacturing Production. Discussion Paper 515, Department of Economics, University of Oxford. google scholar
  • Franciscone, B. G., Zou, X., & Fernandes, E. (2024). The Global South Air transport Belt: A catalyst for sustainable tourism and economic growth. Transport Policy, 159, 14-27. google scholar
  • Fu, X., Oum, T. H., & Zhang, A. (2010). Air transport liberalization and its impacts on airline competition and air passenger traffic. Transportation Journal, 49(4), 24-41. google scholar
  • Goetz, A. R. (1992). Air passenger transportation and growth in the US urban system, 19501987. Growth and change, 23(2), 217-238. google scholar
  • Gudmundsson, S. V., Cattaneo, M., & Redondi, R. (2021). Forecasting temporal world recovery in air transport markets in the presence of large economic shocks: The case of COVID-19. Journal of Air Transport Management, 91, 102007. google scholar
  • Hakim, M. M., & Merkert, R. (2019). Econometric evidence on the determinants of air transport in South Asian countries. Transport Policy, 83, 120-126. google scholar
  • Hu, Y., Xiao, J., Deng, Y., Xiao, Y., & Wang, S. (2015). Domestic air passenger traffic and economic growth in China: Evidence from heterogeneous panel models. Journal of Air Transport Management, 42, 95-100. google scholar
  • IATA, (2023). The International Air Transport Association https://www.iata.org/en/iata-repository/ publications/economic-reports/air-passenger-market-analysis---june-2023/, Access date: 15.11.2024. google scholar
  • Law, C. C., Zhang, Y., Gow, J., & Vu, X. B. (2022). Dynamic relationship between air transport, economic growth and inbound tourism in Cambodia, Laos, Myanmar and Vietnam. Journal of Air Transport Management, 98, 102161. google scholar
  • Pacheco, R. R., & Fernandes, E. (2017). International air passenger traffic, trade openness and exchange rate in Brazil: A Granger causality test. Transportation Research Part A: Policy and Practice, 101, 22-29. google scholar
  • Pesaran, H, M. (2004). General diagnostic tests for cross section dependence in panels. Working Paper, No: 0435, University of Cambridge. google scholar
  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of applied econometrics, 22(2), 265-312. google scholar
  • Pesaran, M. H., & Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of econometrics, 68(1), 79-113. google scholar
  • Poore, J. W. (1993). Forecasting the demand for air transportation services. Journal of transportation engineering, 19(5), 22-34. google scholar
  • Swamy, P. A. (1970). Efficient inference in a random coefficient regression model. Econometrica: Journal of the Econometric Society, 311-323. google scholar
  • Tirtha, S. D., Bhowmik, T., & Eluru, N. (2023). Understanding the factors affecting airport level demand (arrivals and departures) using a novel modeling approach. Journal of Air Transport Management, 106, 102320. google scholar
  • Tolcha, T. D., Brâthen, S., & Holmgren, J. (2020). Air transport demand and economic development in sub-Saharan Africa: Direction of causality. Journal of Transport Geography, 86, 102771. google scholar
  • WB (2021). World Bank, Air Transport Annual Report 2020, https://documents1.worldbank.org/ curated/en/839601631518964272/pdf/Air-Transport-Annual-Report-2020.pdf, Access date: 15.11.2024. google scholar
  • [data set] WDI (2023), World Bank, World Development Indicators, https://databank.worldbank. org/source/world-development-indicators, Access date: 01.02.2023. google scholar
  • Westerlund, J., & Edgerton, D. L. (2007). A panel bootstrap cointegration test. Economics letters, 97(3), 185-190. google scholar
  • Yao, S., & Yang, X. (2012). Air transport and regional economic growth in China. Asia-Pacific Journal of Accounting & Economics, 19(3), 318-329. google scholar
  • Zhang, A., & Zhang, Y. (2002). Issues on liberalization of air cargo services in international aviation. Journal of Air Transport Management, 8(5), 275-287. google scholar
  • Zhang, F., & Graham, D. J. (2020). Air transport and economic growth: a review of the impact mechanism and causal relationships. Transport Reviews, 40(4), 506-528. google scholar
  • Zhang, Y., & Zhang, A. (2017). Air transport development: a comparative analysis of China and India. In Air transport liberalization, 7, 112-137, Edward Elgar Publishing. google scholar
Toplam 37 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ekonomi Teorisi (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Şevket Pazarcı 0000-0002-3675-909X

Emre Kılıç 0000-0003-2900-5123

Asim Kar 0000-0001-5763-1434

Sıla Kale 0000-0002-9034-5891

Yayımlanma Tarihi 31 Aralık 2024
Gönderilme Tarihi 12 Temmuz 2023
Yayımlandığı Sayı Yıl 2024 Cilt: 74 Sayı: 2

Kaynak Göster

APA Pazarcı, Ş., Kılıç, E., Kar, A., Kale, S. (2024). Determinants of Air Transport in the BRICS-T Countries: Findings from Panel Data Analysis. İstanbul İktisat Dergisi, 74(2), 377-400. https://doi.org/10.26650/ISTJECON2024-1325952
AMA Pazarcı Ş, Kılıç E, Kar A, Kale S. Determinants of Air Transport in the BRICS-T Countries: Findings from Panel Data Analysis. İstanbul İktisat Dergisi. Aralık 2024;74(2):377-400. doi:10.26650/ISTJECON2024-1325952
Chicago Pazarcı, Şevket, Emre Kılıç, Asim Kar, ve Sıla Kale. “Determinants of Air Transport in the BRICS-T Countries: Findings from Panel Data Analysis”. İstanbul İktisat Dergisi 74, sy. 2 (Aralık 2024): 377-400. https://doi.org/10.26650/ISTJECON2024-1325952.
EndNote Pazarcı Ş, Kılıç E, Kar A, Kale S (01 Aralık 2024) Determinants of Air Transport in the BRICS-T Countries: Findings from Panel Data Analysis. İstanbul İktisat Dergisi 74 2 377–400.
IEEE Ş. Pazarcı, E. Kılıç, A. Kar, ve S. Kale, “Determinants of Air Transport in the BRICS-T Countries: Findings from Panel Data Analysis”, İstanbul İktisat Dergisi, c. 74, sy. 2, ss. 377–400, 2024, doi: 10.26650/ISTJECON2024-1325952.
ISNAD Pazarcı, Şevket vd. “Determinants of Air Transport in the BRICS-T Countries: Findings from Panel Data Analysis”. İstanbul İktisat Dergisi 74/2 (Aralık 2024), 377-400. https://doi.org/10.26650/ISTJECON2024-1325952.
JAMA Pazarcı Ş, Kılıç E, Kar A, Kale S. Determinants of Air Transport in the BRICS-T Countries: Findings from Panel Data Analysis. İstanbul İktisat Dergisi. 2024;74:377–400.
MLA Pazarcı, Şevket vd. “Determinants of Air Transport in the BRICS-T Countries: Findings from Panel Data Analysis”. İstanbul İktisat Dergisi, c. 74, sy. 2, 2024, ss. 377-00, doi:10.26650/ISTJECON2024-1325952.
Vancouver Pazarcı Ş, Kılıç E, Kar A, Kale S. Determinants of Air Transport in the BRICS-T Countries: Findings from Panel Data Analysis. İstanbul İktisat Dergisi. 2024;74(2):377-400.