LPI GCI FDI PG GDP Dataset

Published: 28 July 2020| Version 1 | DOI: 10.17632/2hnyp4xps9.1
Contributor:
Ümit ÇELEBİ

Description

The purpose of the study is to determine the impacts of logistics performance index upon gross domestic product through foreign direct investment, patents and global competition index. The data set of 98 countries for the period of 2007, 2010 and 2012 was analyzed via Structural Equation Modeling, simple and multiple regression and Sobel test. Results of the analysis show that logistics performance index has indirect effects on gross domestic product through foreign direct investment and patents. In order for the indirect effects to be explained, mediation analysis has been conducted. As a result of mediation analysis, mediator role of foreign direct investment between logistics performance index and gross domestic product, mediator role of patents between logistics performance index and gross domestic product, and mediator role of patents between foreign direct investment and gross domestic product were found statistically significant.

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Steps to reproduce

The dataset is based on April 2015 updates covering the years 2007, 2010 and 2012. LPI, FDI and GDP indicators are taken from World Bank, patents granted (PG) from WIPO and GCI from WEF databases. The study is made up of 98 countries and represents 95 % part of the world GDP. The data is averaged and standardized by statistical method. By taking the averages of the data, possible outliers and time effects have been removed as a consequence. Hypotheses were tested through Structural Equation Modeling (SEM) Path Analysis , simple and multiple regression, Sobel method utilizing SPSS and Amos programs.

Institutions

Okan Universitesi

Categories

Structural Equation Modeling, Logistics, Performance Index, Competitiveness, Foreign Direct Investment, Path Analysis, Mediation Analysis, Multiple Regression, Gross National Product

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