2022
DOI: 10.1371/journal.pone.0264474
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Gross domestic product and logistics performance index drive the world trade: A study based on all continents

Abstract: The purpose of this study was to examine the impact of Gross Domestic Product (GDP) and Logistics Performance Index (LPI) on international trade of nations across each continent and worldwide. Secondary data collected on 142 countries—37 Asian, 41 European, 41 African, 3 Oceania, 14 Middle East, 11 North American and 9 South American–were analysed across the years 2007, 2010, 2012, 2014, 2016, and 2018. Panel regression technique was applied and the random effect (RE) model was chosen based on the results of t… Show more

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Cited by 17 publications
(12 citation statements)
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“…From 2010 to 2014, logistics demand was higher, with the largest gap in 2012. Since customer needs are continuously changing, along with the expansion of e-commerce, the logistics industry needs to combine a variety of channels to support the seamless shopping experiences [ 41 , 42 ]. However, practical factors such as insufficient investment in logistics equipment and technologies may hinder the growth of FT factor.…”
Section: Resultsmentioning
confidence: 99%
“…From 2010 to 2014, logistics demand was higher, with the largest gap in 2012. Since customer needs are continuously changing, along with the expansion of e-commerce, the logistics industry needs to combine a variety of channels to support the seamless shopping experiences [ 41 , 42 ]. However, practical factors such as insufficient investment in logistics equipment and technologies may hinder the growth of FT factor.…”
Section: Resultsmentioning
confidence: 99%
“…The analytical technique applied in the research is regression analysis, and for the regional analysis, a panel data del was employed, while for the country-specific analysis, a Multiple Linear Regression (MLR) was utilised. As per Jayathilaka, Jayawardhana [ 54 ], the limited number of time series is a constraint in utilising non-stationary and dynamic panel data models. Therefore, it was determined that the most suitable panel regression models are Pooled Ordinary Least Square (POLS), Random Effect (RE) and Fixed Effect (FE), and POLS method allowing the country specific effect to exist indicated it is not the most appropriate model for this study [ 55 , 56 ].…”
Section: Methodsmentioning
confidence: 99%
“…Better logistics performance enhances a country's competitiveness in the global market (Göçer, Özpeynirci, & Semiz, 2022). Efficient logistics management contributes to higher Gross Domestic Product (Jayathilaka et al, 2022). The relationship between economic growth and effective logistics systems is generally positive; it is not always straightforward and depends on a variety of factors.…”
Section: Theoretical Frameworkmentioning
confidence: 99%