Regional Integration, Multinational Enterprise Strategy and the Impact of Country‐level Risk: The Case of the EMU
Bibliographic record
Abstract
Abstract The European Monetary Union (EMU) provides a new macro‐level, institutional setting for multinational enterprises (MNEs). The authors investigate the impact of regional integration on MNE strategy by analysing Belgian firms’ entry‐mode choices in foreign markets, both EMU and non‐EMU ones, with a focus on what impact remains of country‐level risk. They demonstrate that regional integration has altered the impact of country‐level institutional risk on MNE entry‐mode choices inside the EMU. The conventional predictions of international business theory have been reversed, with higher country‐level risk inside the EMU driving a preference for wholly owned subsidiaries. Within the integrated region, insider firms now view higher country‐level risk as the equivalent of higher, micro‐level contracting risk. Such risk can best be mitigated through full internalization, combined with arm's length contracts, rather than through equity joint ventures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".