Dynamic Relationships Between Productivity, Growth, and ROI in Estonia’s Logistics Sector: A Panel Data Analysis
Arunas Burinskas ()
Additional contact information
Arunas Burinskas: Vilnius Gediminas Technical University
A chapter in Proceedings of the International Conference on Industrial Logistics (ICIL) 2025, 2026, pp 265-272 from Springer
Abstract:
Abstract Logistics performance is central to competitiveness in small, open economies; yet, prior research rarely identifies a directional, time-ordered mechanism linking firm growth, productivity, and return on investment (ROI). Using a firm-level panel from Estonia’s logistics sector (2006–2020), this study combines causal discovery (VAR–LiNGAM) to recover the ordering among growth, productivity, and ROI with structural equation modelling to estimate path strengths and test moderation by capabilities, resilience, and financing conditions. The results support a clear hierarchy—growth → productivity → ROI—with ROI materialising with delay rather than contemporaneously. The study contributes to the identification and timing of operations–finance research, offering managerial guidance to pair disciplined growth with capability investment and working capital stabilisation.
Keywords: logistics; causal discovery; VAR–LiNGAM; SEM; growth; productivity; ROI; small open economy; capabilities; resilience (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-032-14489-8_27
Ordering information: This item can be ordered from
http://www.springer.com/9783032144898
DOI: 10.1007/978-3-032-14489-8_27
Access Statistics for this chapter
More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().