arbiter
JournalsPricingAccount

Institutions, investments and technology: The EU evidence points to the need for stronger policy environments

Theofanis Papageorgiou & Giannis Vrettos

Journal of Policy Modeling2026https://doi.org/10.1016/j.jpolmod.2026.02.009article
AJG 2ABDC A
Weight
0.50

What the paper says

This paper examines how institutional quality shapes investment decisions and, consequently, technological development within European Union economies. Building on both classical and modern institutionalist frameworks, it conceptualizes innovation as a process embedded in broader social and political structures. Using panel data from 2002–2019, the analysis explores how regulatory quality and control of corruption interact with macroeconomic factors such as trade openness and foreign investment to influence sectoral investment allocation. The findings reveal that stronger institutional environments foster investment in innovation-intensive industries, enhancing technological capabilities and supporting sustainable, innovation-driven growth across EU member states.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1016/j.jpolmod.2026.02.009

Or copy a formatted citation

@article{theofanis2026,
  title        = {{Institutions, investments and technology: The EU evidence points to the need for stronger policy environments}},
  author       = {Theofanis Papageorgiou & Giannis Vrettos},
  journal      = {Journal of Policy Modeling},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.jpolmod.2026.02.009},
}

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

Flag this paper

Institutions, investments and technology: The EU evidence points to the need for stronger policy environments

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.