IDEAS home Printed from https://ideas.repec.org/a/eas/econst/v10y2018i10p68-76.html
   My bibliography  Save this article

A Statistical Analysis For Infrastructure Quality Of International Trade

Author

Listed:
  • Hakan ÇETÄ°NOÄžLU

    (İstanbul Arel Üniversitesi, Istanbul, Turkey, Dr. Öğr. Üyesi)

  • Levent DALYANCI

    (İstanbul Arel Üniversitesi, Istanbul, Turkey, Doç.Dr)

Abstract

In this study, it is analyzed infrastructure quality by infrastructure type including roads, railroads, ports and airport transportation by using parametric hypothesis tests for the 108 countries across the world. According to the results from the study, there is not a significant difference between infrastructure quality of roads and ports. On the other hand, there are significant differences among the all the infrastructure types except roads and ports. It can be concluded that air transport infrastructure has the best infrastructure quality. The railroad infrastructure has the worst infrastructure quality. The infrastructure quality for roads and ports are better than railroad infrastructure but worse than air transport infrastructure. It is vital to develop infrastructure quality by infrastructure type to achieve better international trade conditions for the welfare of the global society.

Suggested Citation

  • Hakan ÇETÄ°NOÄžLU & Levent DALYANCI, 2018. "A Statistical Analysis For Infrastructure Quality Of International Trade," Eurasian Eononometrics, Statistics and Emprical Economics Journal, Eurasian Academy Of Sciences, vol. 10(10), pages 68-76, February.
    • Handle: RePEc:eas:econst:v:10:y:2018:i:10:p:68-76
    DOI: 10.17740/eas.stat.2018�V10�05
    as

    Download full text from publisher

    File URL: https://eurasianacademy.org/index.php/econstat/article/view/966
    Download Restriction: no
    File URL: https://libkey.io/10.17740/eas.stat.2018�V10�05?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eas:econst:v:10:y:2018:i:10:p:68-76. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kutluk Kagan Sumer (email available below). General contact details of provider: https://www.eurasianacademy.org/index.php/econstat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.