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2020 | 6 (20) | nr 3 | 23--44
Tytuł artykułu

Empirical Analysis of the Relationship between Trade Wars and Sea-Air Transportation

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The aim of this paper is to empirically analyse the relationship between the trade wars and modes of transport for selected countries. For this purpose the causality relationship between trade value and sea transport / air transportation for EU-G20 and US-G20 countries was examined. Panel causality analysis was used as a method in the study. The empirical findings of the study show the existence of a causality relationship between the trade value and modes of transport (sea transport and air transport) for country groups. This shows that the countries' sea and air transport will be adversely affected by trade wars. (original abstract)
Rocznik
Tom
Numer
Strony
23--44
Opis fizyczny
Twórcy
  • Iskenderun Technical University
autor
  • Iskenderun Technical University
Bibliografia
  • Alagic, A. (2017). An analysis of the causal relationship between transportation and GDP: A time-series approach for the United States. Major Themes in Economics, 19(1), 17-37.
  • Altıntaş, H., & Mercan, M. (2015). The relationship between research and development (R&D) expenditures: Panel cointegration analysis under cross sectional dependency on OECD countries. Journal of Ankara University, 70(2), 345-376. Retrieved from https://doi.org/10.1501/SBFder_0000002355.
  • Asturias, J. (2020). Endogenous transportation costs. European Economic Review, 123, 103-366. Retrieved from https://doi.org/10.1016/j.euroecorev.2019.103366.
  • Baker, D., Merkert, R., & Kamruzzaman, M. (2015). Regional aviation and economic growth: Cointegration and causality analysis in Australia. Journal of Transport Geography, 43, 140-150. Retrieved from https://doi.org/10.1016/j. jtrangeo.2015.02.001.
  • Benali, N., & Feki, R. (2018). Evaluation of the relationship between freight transport, energy consumption, economic growth and greenhouse gas emissions: The VECM approach. Environment, Development and Sustainability, 22(2), 1039-1049. Retrieved from https://doi.org/10.1007/s10668-018-0232-x.
  • Breusch, T. S., & Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239- -253. doi:10.2307/2297111.
  • Brida, J. G., Bukstein, D., & Zapata-Aguirre, S. (2016). Dynamic relationship between air transport and economic growth in Italy: A time series analysis. International Journal of Aviation Management, 3(1), 52-67.
  • Brugnoli, A., Dal Bianco, A., Martini, G., & Scotti, D. (2018). The impact of air transportation on trade flows: A natural experiment on causality applied to Italy. Transportation Research Part A: Policy and Practice, 112, 95-107. Retrieved from https://doi.org/10.1016/j.tra.2018.01.010.
  • Buberkoku, O., & Sahmaroglu, S. T. (2016). Examining the role of trading volume on beta coefficients: Evidence from Turkish banks. The Journal of Business Science, 4(1), 1-28. Retrieved from https://doi.org/10.22139/ibd.73036.
  • Button, K., & Yuan, J. (2013). Airfreight transport and economic development: An examination of causality. Urban Studies, 50(2), 329-340. Retrieved from https://doi. org/10.1177%2F0042098012446999.
  • 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. Retrieved from https://doi.org/10.1016/j.tranpol.2013.03.005.
  • Conybeare, J. (1987). Trade wars: The theory and practice of international commercial rivalry. New York: Columbia University Press.
  • Costa, F. A., Caetano, M., Alves, C. J. P., & Rossi, R. (2019). Measuring the influence of the commodity market performance over the supply and demand of regional air travel. Journal of Aerospace Technology and Management, 11, 1-12. Retrieved from https://doi.org/10.5028/jatm.v11.1014.
  • Donaldson, D. (2018). Railroads of the Raj: Estimating the impact of transportation infrastructure. American Economic Review, 108(4-5), 899-934. Retrieved from https://doi.org/10.1257/aer.20101199.
  • Emirmahmutoglu, F., & Kose, N. (2011). Testing for Granger causality in heterogeneous mixed panels. Economic Modelling, 28(3), 870-876. Retrieved from https://doi. org/10.1016/j.econmod.2010.10.018.
  • Eurostat database, EU trade since 2000 by mode of transport. Retrieved from https:// ec.europa.eu/eurostat/data/database.
  • Fisher, R. A. (1932). Statistical methods for research workers (4th ed.). Edinburgh: Oliver and Boyd.
  • Gardiner, R. & Hajek, P. (2016). The causal relationship among sustainable development indicators and economic growth: The case of AB28 countries. (16th International Scientific Conference Globalization and Its Socio-Economic Consequences, University of Zilina, The Faculty of Operation and Economics of Transport and Communication, Department of Economics, 5-6 October).
  • Gramlich, E. M. (1994). Infrastructure investment: A review essay. Journal of Economic Literature, 32(3), 1176-1196.
  • Hakim, M. M., & Merkert, R. (2016). The causal relationship between air transport and economic growth: Empirical evidence from South Asia. Journal of Transport Geography, 56, 120-127. Retrieved from https://doi.org/10.1016/j. jtrangeo.2016.09.006.
  • 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.
  • Hummels, D. (2007). Transportation costs and international trade in the second era of globalization. Journal of Economic Perspectives, 21(3), 131-154. doi:10.1257/ jep.21.3.131.
  • International Trade Administration (ITA) database. Retrieved from https://www.trade. gov/trade-data-analysis.
  • Kiracı, K. (2018). Causality analysis between airline industry and economic growth: An empirical application on Turkey. Dokuz Eylul University Faculty of Economics and Administrative Sciences Journal, 1(33), 97-216.
  • Kiracı, K., & Battal, Ü. (2018). Macroeconomic determinants of air transportation: A VAR analysis on Turkey. Gaziantep University Journal of Social Sciences, 17(4), 1536-1557.
  • Konstantakis, K. N., Papageorgiou, T., Christopoulos, A. G., Dokas, I. G., & Michaelides, P. G. (2019). Business cycles in Greek sea transport: An econometric exploration (1998-2015). Operational Research, 19(4), 1059-1079. Retrieved from https://doi. org/10.1007/s12351-017-0331-8.
  • Kónya, L. (2006). Exports and growth: Granger causality analysis on OECD countries with a panel data approach. Economic Modelling, 23(6), 978-992. Retrieved from https://doi.org/10.1016/j.econmod.2006.04.008.
  • Marazzo, M., Scherre, R., & Fernandes, E. (2010). Air transport demand and economic growth in Brazil: A time series analysis. Transportation Research Part E: Logistics and Transportation Review, 46(2), 261-269. Retrieved from https://doi.org/10.1016/j. tre.2009.08.008.
  • Martinez-Zarzoso, I., & Nowak-Lehmann, F. D. (2007). Is distance a good proxy for transport costs? The case of competing transport modes. The Journal of International Trade & Economic Development, 16(3), 411-434. doi:10.1080/09638190701527186.
  • Mehmood, B., Shahid, A., & Younas, Z. I. (2013). Interdepencies between aviation demand and economic growth in India: Cointegration equation estimation. Economic Affairs, 58(4), 337-347. doi:10.5958/j.0976-4666.58.4.017.
  • Mukkala, K., & Tervo, H. (2013). Air transportation and regional growth: Which way does the causality run?. Environment and Planning A, 45(6), 1508-1520. Retrieved from https://doi.org/10.1068%2Fa45298.
  • Nguyen, H. O., & Tongzon, J. (2010). Causal nexus between the transport and logistics sector and trade: The case of Australia. Transport Policy, 17(3), 135-146. Retrieved from https://doi.org/10.1016/j.tranpol.2009.12.005.
  • Pao, H., Yu, H. & Yang, Y. (2011). Modelling the CO2 emissions, energy use, and economic growth in Russia. Energy, 36(8), 5094-5100. Retrieved from https://doi. org/10.1016/j.energy.2011.06.004.
  • Park, J. S., & Seo, Y. J. (2016). The impact of seaports on the regional economies in South Korea: Panel evidence from the augmented Solow model. Transportation Research Part E: Logistics and Transportation Review, 85, 107-119. Retrieved from https:// doi.org/10.1016/j.tre.2015.11.009.
  • Pesaran, M. H. (2004, August). General diagnostic tests for cross section dependence in panels. (CESifo Working Paper Series No. 1229; IZA Discussion Paper No. 1240).
  • Pesaran, M. H., Ullah, A., & Yamagata, T. (2008). A bias-adjusted LM test of error cross-section independence. The Econometrics Journal, 11(1), 105-127. Retrieved from https://doi.org/10.1111/j.1368-423X.2007.00227.x.
  • Profillidis, V., & Botzoris, G. (2015). Air passenger transport and economic activity. Journal of Air Transport Management, 49, 23-27. Retrieved from https://doi. org/10.1016/j.jairtraman.2015.07.002.
  • Rashid Khan, H. U. R., Siddique, M., Zaman, K., Yousaf, S. U., Shoukry, A. M., Gani, S., ... & Saleem, H. (2018). The impact of air transportation, railways transportation, and port container traffic on energy demand, customs duty, and economic growth: Evidence from a panel of low-, middle-, and high-income countries. Journal of Air Transport Management, 70, 18-35. Retrieved from https://doi.org/10.1016/j.jairtraman.2018.04.013.
  • Saidi, S., & Hammami, S. (2017). Modeling the causal linkages between transport, economic growth and environmental degradation for 75 countries. Transportation Research Part D: Transport and Environment, 53, 415-427. Retrieved from https:// doi.org/10.1016/j.trd.2017.04.031.
  • Taghvaee, S. M., Omaraee, B., & Taghvaee, V. M. (2017). Maritime transportation, environmental pollution, and economic growth in Iran: Using dynamic log linear model and Granger causality approach. Iranian Economic Review, 21(2), 185-210. Retrieved from https://dx.doi.org/10.22059/ier.2017.62100.
  • Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. Retrieved from https://doi.org/10.1016/0304-4076(94)01616-8.
  • Tong, T., & Yu, T. E. (2018). Transportation and economic growth in China: A heterogeneous panel cointegration and causality analysis. Journal of Transport Geography, 73, 120-130. Retrieved from https://doi.org/10.1016/j.jtrangeo.2018.10.016.
  • Topallı, N. (2016). The relationship between foreign direct investment, trade openness and economic growth: The case of Turkey and BRICS countries. Dogus University Journal, 17(1), 83-95.
  • Wessel, J. (2019). Evaluating the transport-mode-specific trade effects of different transport infrastructure types. Transport Policy, 78, 42-57. Retrieved from https://doi. org/10.1016/j.tranpol.2019.04.002.
  • Zeren, F., & Ergün, S. (2013). Trade openness and government size relationship: Panel causality test. Atatürk Faculty of Economics and Administrative Sciences Journal, 27(4), 229-240.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
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