Ανάλυση δεδομένων εμπορικής ναυτιλίας με χρήση στατιστικών εργαλείων
Analysis of commercial shipping data using statistical tools
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Keywords
Εμπορική ναυτιλία ; Στατιστική παλινδρόμηση ; Ακαθάριστο Εθνικό Προϊόν ; Ολική χωρητικότητα εμπορικού στόλου ; Χωρητικότητα εκτοπίσματος στόλου ; Merchant shipping ; Statistical regression ; Gross National Product, ; Merchant fleet gross tonnage ; Deadweight tonnage of merchant fleetAbstract
The point of this study focuses on the analysis of data concerning commercial
shipping. In particular, the correlation between the Gross Domestic Product (GDP) of
an economy and the size of commercial shipping is investigated through the
significance of the statistical regression model.
The empirical research includes the analysis of data for a sample of 58 countries in
the 4-year period under consideration (2014-2017), through the application of the
statistical regression model. The assumption is that almost all regressions, as well as
statistical models, are not cross-sectional, but are implemented by year, due to the
strongly dynamic nature of the variables, mainly the dependent variable (GDP).
The re-execution of the regressions was implemented in the case of a violation of the
assumptions of the Least Squares Model, while they included the bilateral removal of
the extreme values of the data sample (outliers), in a percentage that was formed
between (5-10)%.
The analysis of the results revealed the positive influence of the size of merchant
shipping on the economic figures in the sample of countries under consideration,
when it does not undergo large-scale "optimization", which is in shipbuilding.
Similarly, the positive influence of the sizes of merchant shipping on the economic
figures of the sample of countries under consideration was showed, in the case in
which they undergo large-scale "optimization", which is in the legal order to which a
specific ship belongs (registered flags).
However, it should be noted that the research is subject to limitations, such as not
using a larger sample of countries, as well as more relevant variables, in order to
implement a more extensive analysis. In this context, a future study could apply a
larger sample of countries, including some not studied in the present study, and
include more variables for analysis. Therefore, there is scope for more extensive
research, in combination with the examination of these variables, in other statistical
models.
Postgraduate Studies Programme
Πρόγραμμα Μεταπτυχιακών Σπουδών στη Διοίκηση Επιχειρήσεων για Στελέχη (Executive MBA)Department
Σχολή Οικονομικών, Επιχειρηματικών και Διεθνών Σπουδών. Τμήμα Οργάνωσης και Διοίκησης ΕπιχειρήσεωνNumber of pages
77Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα