Is There a Financial Rationale for Onshoring Through Public Procurement?: Evidence from the Train Manufacturing Sector

Christopher James Day & Rico Merkert

Journal of Transport, Economics and Policy2025https://doi.org/10.3828/jtep.2025.59.3.202article
AJG 1ABDC B
Weight
0.50

What the paper says

Following COVID-19 and a multitude of geopolitical tensions, governments across advanced economies have demonstrated renewed enthusiasm for the onshoring of manufacturing activities via public procurement. Whether this represents financial value for taxpayers is less clear. This paper addresses this question by operationalising a framework which adjusts procurement prices for additional corporate financial expenditures generated in the economy when a domestic producer is selected for purchases of passenger trains. Our findings demonstrate that onshore design and manufacture of trains can deliver substantial financial value and the best overall outcome in circumstances where domestic resources are not being gainfully utilised elsewhere.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.3828/jtep.2025.59.3.202

Or copy a formatted citation

@article{christopher2025,
  title        = {{Is There a Financial Rationale for Onshoring Through Public Procurement?: Evidence from the Train Manufacturing Sector}},
  author       = {Christopher James Day & Rico Merkert},
  journal      = {Journal of Transport, Economics and Policy},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.3828/jtep.2025.59.3.202},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Is There a Financial Rationale for Onshoring Through Public Procurement?: Evidence from the Train Manufacturing Sector

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.