2020
DOI: 10.1080/13675567.2020.1869192
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Global distribution network design: exploration of facility location driven by tax considerations and related cross-country implications

Abstract: Multinational corporations (MNCs) are moving not only their headquarters but also their logistics operations to low-tax jurisdictions to minimise the tax burden. However, the logistics and fiscal domains are guided by different principles. This study aims to explore the cross-country implications of locating facilities in low-tax jurisdictions to take advantage of tax arbitrage. A single case study is developed, considering a fashion MNC that moved its European warehouse from Italy to Switzerland.The study off… Show more

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Cited by 10 publications
(14 citation statements)
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References 40 publications
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“…In the second research phase (i.e., modelling), a model to assess the environmental impact of logistics sites was developed. An analytical approach was selected, as it offers flexibility (i.e., changes and modifications can be applied to each single modelled activity with limited effort) and transparency (i.e., hypotheses are clear and evident from the equations) (Prataviera et al, 2020). The model was developed using Microsoft Excel with Visual Basic for Application (VBA) programming.…”
Section: Objective and Methodologymentioning
confidence: 99%
“…In the second research phase (i.e., modelling), a model to assess the environmental impact of logistics sites was developed. An analytical approach was selected, as it offers flexibility (i.e., changes and modifications can be applied to each single modelled activity with limited effort) and transparency (i.e., hypotheses are clear and evident from the equations) (Prataviera et al, 2020). The model was developed using Microsoft Excel with Visual Basic for Application (VBA) programming.…”
Section: Objective and Methodologymentioning
confidence: 99%
“…Consequently, SC design influences direct and indirect taxes to be paid (Shunko et al, 2017), and the tax implications related to SC design that involves multiple jurisdictions are an increasingly relevant problem that academics and practitioners must examine (Cohen & Lee, 2020). Logistics and SC management (SCM) studies have examined tax implications related to specific topics, for example, manufacturing offshoring (Dong & Kouvelis, 2020; Hammami et al, 2008; Wang et al, 2016), facility location (Arntzen et al, 1995; Mariel & Minner, 2015; Prataviera, Norrman, & Melacini, 2022), firms' structure (Hsu & Zhu, 2011; Shunko et al, 2017), and transfer pricing (Fernandes et al, 2015; Miller & de Matta, 2008; Vidal & Goetschalckx, 2001). However, to understand tax implications for SC decisions better, logisticians first should increase their familiarity with specific terms (Table 1).…”
Section: Literature Perspectivesmentioning
confidence: 99%
“…PE is a cornerstone of international taxation aimed at reducing uncertainty for taxpayers with cross‐border operations, leading to fair sharing of taxing rights among jurisdictions (Petriccione, 2007). This relates to the critical concept of economic (or tax) substance , which helps determine the foreign entity or transaction's actual operations or role in avoiding an operation established only for fiscal reasons (Prataviera, Norrman, & Melacini, 2022). Another critical factor is the jurisdiction in which the manufacturing operations are performed, typically indicating the goods' origin.…”
Section: Literature Perspectivesmentioning
confidence: 99%
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“…The selection of locations for installation, such as a logistics hub, is a complex issue that involves a set of factors, such as cost, travel time, modal types, infrastructure, market accessibility for goods and services, environmental impacts of facilities, among others (Hiassat, Diabat, & Rahwan, 2017;Prataviera, Norrman, & Melacini, 2022). Existing approaches to solve FLP problems can be divided into two main groups: deterministic approaches and stochastic approaches (Shavarani, Nejad, Rismanchian, & Izbirak, 2018;Deutsch & Golany, 2018).…”
Section: Introductionmentioning
confidence: 99%