Economic growth and logistics performance: A data-driven analysis

dc.authorid0000-0001-6486-8739
dc.authorid0009-0005-0056-1961
dc.authorscopusid57219224448
dc.authorwosidHJH-2381-2023
dc.contributor.authorBenli, Muhammed
dc.contributor.authorGüneş, Fatih
dc.date.accessioned2025-02-14T12:33:56Z
dc.date.available2025-02-14T12:33:56Z
dc.date.issued2024en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, İktisat Ana Bilim Dalı
dc.departmentFakülteler, İktisadi ve İdari Bilimler Fakültesi, İktisat Bölümü
dc.description.abstractThe nexus between national economic indicators and the LPI has often been perceived as multifaceted and intricate. By employing DAGs as a methodological tool, this study has successfully deciphered this complexity across 74 nations, segmented into developed and developing categories. Our findings reveal that the economic stature of nations, as denoted by GDP per capita, foreign direct investment, and domestic investment, plays a paramount role in determining their logistics performance. Notably, the causal pathways influencing LPI exhibit variations based on a country’s development status. For instance, in developing countries, income per capita manifests as a linchpin in LPI determination, serving as a conduit for influences from other factors like trade and R&D expenditure. This suggests that improving income levels in these countries might be a keystone for enhancing logistical competencies. Conversely, in developed nations, the tapestry is slightly different. While per capita income continues influencing LPI, R&D expenditure emerges as another direct and influential factor. This dual influence, both direct and indirect through its effect on income per capita, implies that fostering research and innovation can serve as a catalyst for logistical advancement in developed nations.en_US
dc.identifier.citationBenli, Muhammed & Güneş, Fatih. (2024). Economic growth and logistics performance: a data-driven analysis. İbrahim Serbestoğlu ve Hakan Tan (Ed.), Academic Studies in Social Sciences and Humanities, Livre de Lyon, Lyon, s. 131-142.en_US
dc.identifier.endpage142en_US
dc.identifier.isbn978-2-38236-660-8
dc.identifier.startpage131en_US
dc.identifier.urihttps://doi.org/10.5281/zenodo.10869445
dc.identifier.urihttps://hdl.handle.net/11552/3816
dc.institutionauthorBenli, Muhammed
dc.institutionauthorGüneş, Muhammed
dc.language.isoen
dc.publisherLivre de Lyonen_US
dc.relation.ispartofAcademic Studies in Social Sciences and Humanities
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectLogistics Performanceen_US
dc.subjectData Driven Analysisen_US
dc.subjectDAGsen_US
dc.titleEconomic growth and logistics performance: A data-driven analysis
dc.typeBook Chapter

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