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The Granger-Causality between Transportation and GDP: A Panel Data Approach

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  • Mehmet Aldonat Beyzatlar

    (Department of Economics, Izmir University of Economics)

  • Müge Karacal

    (Department of Economics, Izmir University of Economics)

  • Ý. Hakan Yetkiner

    (Department of Economics, Izmir University of Economics)

Abstract

This study investigates the Granger-causality relationship between real per capita GDP and transportation of EU-15 countries using a panel data set covering the period 1970-2008. Our findings indicate that the dominant type of Granger-causality is bidirectional. Accordingly, we conclude that care must be paid in defining the dependent and independent variables when studying the relationship between transportation and income. Instances of one-way or no Granger-causality were found to correspond with countries with the lowest income per capita ranks in 1970 and/or in 2008, including Portugal, Greece and Italy. We speculate that bi-directional Granger causality between income and transportation is observed only after an economy has completed its transition in terms of economic development.

Suggested Citation

  • Mehmet Aldonat Beyzatlar & Müge Karacal & Ý. Hakan Yetkiner, 2012. "The Granger-Causality between Transportation and GDP: A Panel Data Approach," Working Papers 1203, Izmir University of Economics.
    • Handle: RePEc:izm:wpaper:1203
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    7. Janusz Myszczyszyn & Bartosz Mickiewicz, 2019. "Long-Term Correlations between the Development of Rail Transport and the Economic Growth of the German Reich (1872-1913)," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 126-139.
    8. Myszczyszyn Janusz, 2021. "Development of Transport as a Factor of the Economic Miracle (Wirtschaftswunder) of West Germany," Studia Historiae Oeconomicae, Sciendo, vol. 39(1), pages 189-215, December.
    9. Elena Cigu & Daniela Tatiana Agheorghiesei & Anca Florentina Gavriluță (Vatamanu) & Elena Toader, 2018. "Transport Infrastructure Development, Public Performance and Long-Run Economic Growth: A Case Study for the Eu-28 Countries," Sustainability, MDPI, vol. 11(1), pages 1-22, December.
    10. C. S. Verma & Gulnawaz Usmani, 2019. "Relationship Between Health and Economic Growth in India," Indian Journal of Human Development, , vol. 13(3), pages 344-356, December.
    11. Castillo-Manzano, José I. & Pedregal, Diego J. & Pozo-Barajas, Rafael, 2016. "An econometric evaluation of the management of large-scale transport infrastructure in Spain during the great recession: Lessons for infrastructure bubbles," Economic Modelling, Elsevier, vol. 53(C), pages 302-313.
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    14. Yanli Ma & Jieyu Zhu & Gaofeng Gu & Ke Chen, 2020. "Freight Transportation and Economic Growth for Zones: Sustainability and Development Strategy in China," Sustainability, MDPI, vol. 12(24), pages 1-17, December.
    15. Muhammad Shafique & Anam Azam & Muhammad Rafiq & Xiaowei Luo, 2020. "Evaluating the Relationship between Freight Transport, Economic Prosperity, Urbanization, and CO 2 Emissions: Evidence from Hong Kong, Singapore, and South Korea," Sustainability, MDPI, vol. 12(24), pages 1-14, December.
    16. Li, Hongbo & Liu, Yali & Peng, Kaili, 2018. "Characterizing the relationship between road infrastructure and local economy using structural equation modeling," Transport Policy, Elsevier, vol. 61(C), pages 17-25.

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    More about this item

    Keywords

    Granger-causality; Transportation; Income;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

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