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The impact of container transport on economic growth in Turkey: An ARDL bounds testing approach

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  • Özer, Mustafa
  • Canbay, Şerif
  • Kırca, Mustafa

Abstract

This study aims to analyse the effects of maritime and rail container transports on the economic growth in Turkey with annual data for the period 1991–2016 using the Autoregressive Distributed Lag (ARDL) based bounds testing approach. The empirical findings of the study show the existence of a cointegration between the variables. Additionally, according to the results of the analysis, there was no significant relationship between economic growth and rail container transport. On the other hand, maritime container transport has a positive and statistically significant impact on economic growth both in the short- and long-run. These findings could be used to develop an extensive and efficient container transport system which contributes more to international trade, thus to economic growth of Turkey.

Suggested Citation

  • Özer, Mustafa & Canbay, Şerif & Kırca, Mustafa, 2021. "The impact of container transport on economic growth in Turkey: An ARDL bounds testing approach," Research in Transportation Economics, Elsevier, vol. 88(C).
    • Handle: RePEc:eee:retrec:v:88:y:2021:i:c:s0739885920302006
    DOI: 10.1016/j.retrec.2020.101002
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    More about this item

    Keywords

    Economic growth; Maritime container transport; Railway container transport; ARDL bounds Testing approach; Intermodal transport;
    All these keywords.

    JEL classification:

    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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