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Drivers of Foreign Direct Investment in the EU: Regulatory Distance and Revealed Technological Advantage
Date Issued
2025-07
Date Available
2026-04-14T15:41:54Z
Abstract
This study examines the interplay between trade policy, in particular non-tariff measures (NTMs), and revealed technological comparative advantage (RTA) at the NUTS 2 level as drivers of foreign direct investment (FDI) over time. Combining data from the Orbis database (Bureau Van Dijk), the NTMs database (WTO I-TIP) and the European Patent Office (EPO PATStat), we construct a comprehensive panel database of European firms owned by foreign-owned EU and non-EU firms. This database includes financial information for both parent companies and their subsidiaries as well as detailed country- and sector-specific trade barriers from the perspective of both the home and host economies. Furthermore, this database allows us to compute tailored RTA variables reflecting firm-specific technological interests proxied by firms’ patent production across technology classes. Using a Poisson pseudo-maximum likelihood (PPML) estimator, our analysis reveals a heterogeneous impact of NTMs and RTAs on FDI investment in the EU regions. Specifically, while increasing the regulatory distance (RD) of technical barriers to trade (TBTs) and sanitary-and-phytosanitary-standard (SPS) measures hampers FDI investment from extra-EU companies, the results on tariffs support the regulatory jumping motive. Furthermore, local technological capabilities significantly support FDI, especially when RTAs reflect the technological interests of the foreign-owned subsidiary, while the effect is reversed when accounting for the innovation portfolio of the parent company.
Other Sponsorship
Anniversary Fund of the Oesterreichische Nationalbank
Type of Material
Working Paper
Publisher
University College Dublin. School of Economics
Start Page
1
End Page
37
Series
UCD Centre for Economic Research Working Paper Series
WP2025/20
Copyright (Published Version)
2025 the Authors
Classification
F23
O24
O34
R58
Language
English
Status of Item
Not peer reviewed
This item is made available under a Creative Commons License
File(s)
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Name
WP2025_20.pdf
Size
1.75 MB
Format
Adobe PDF
Checksum (MD5)
45094d2827ee63a4d0279c7dccd2a4ba
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