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Record W106712943 · doi:10.15057/27099

FOREIGN DIRECT INVESTMENT : A "COINCIDENTAL" COMPETENCE OF THE EU?

2015· article· en· W106712943 on OpenAlexaboutno aff
Christoph Herrmann, Judith Crämer

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsForeign direct investmentCompetence (human resources)BusinessInternational economicsEconomicsManagementMacroeconomics

Abstract

fetched live from OpenAlex

This article gives an overview of the current status of EU foreign investment policy and outlines the direction in which it is headed. It is also testimony to the fact that when the competence for foreign direct investment was conferred upon the EU, deliberations on what this should entail were not really made. To begin with, the powers of the EU with respect to FDI before and after the Treaty of Lisbon entered into force are presented. As the EU has been empowered to regulate FDI matters for its Member States since the Treaty of Lisbon entered into force, there is potential for conflict. Therefore, the second part of this paper analyses the current legal status of intra- and extra-EU BITs and presents the BITs Regulation, a first attempt of the EU to define its competence and bring clarity with respect to the legal status of extra-EU BITs. Additionally, the special status of the Energy Charter Treaty is addressed. The third part of the paper will concentrate on the shape the common European investment policy might take in the future, with express reference to the new role of the instutions in regulating FDI and their positions towards FDI as a new competence. It seems from the EU-Canada trade agreement, which may be the first agreement to be concluded under the new competence, that the EU is opting for a rather broad competence including pre- and post-establishment of investments as well as portfolio investments. The European citizens, however, are not in favour of concluding any agreement. It will be concluded that the transfer of the competence was sudden, but the foundation for a solid European policy has been laid in the past five years.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.007
Scholarly communication0.0120.007
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.053
GPT teacher head0.235
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

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