2023
DOI: 10.1080/21650020.2023.2182353
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The criticality of transport and export activities in the economic prosperity of high-middle income countries: the role of logistics performance

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Cited by 3 publications
(2 citation statements)
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“…First, this study employs principal component analysis (PCA) to deal with the problem of multicollinearity among economic variables. With PCA, highly correlated variables can be converted into a set of a smaller number of uncorrelated principal components, thus simplifying the model and avoiding instability in parameter estimation [19]. These principal components capture most of the variability of the original variables while reducing the model's complexity.…”
Section: Introductionmentioning
confidence: 99%
“…First, this study employs principal component analysis (PCA) to deal with the problem of multicollinearity among economic variables. With PCA, highly correlated variables can be converted into a set of a smaller number of uncorrelated principal components, thus simplifying the model and avoiding instability in parameter estimation [19]. These principal components capture most of the variability of the original variables while reducing the model's complexity.…”
Section: Introductionmentioning
confidence: 99%
“…The logistics industry has experienced rapid global growth in recent years (Aldakhil et al, 2018;Barut et al, 2023;Chakamera & Pisa, 2021;Chen et al, 2023;Koyuncu et al, 2023). This sector is widely recognized as a crucial component of a nation's economy, playing a central role in promoting economic growth and serving as a fundamental pillar for overall economic progress (Zhou et al, 2023;Zhu et al, 2023).…”
Section: Introductionmentioning
confidence: 99%