Global and political strategies in deregulated industries: the asymmetric behaviors of former monopolies
Bibliographic record
Abstract
Abstract In deregulated industries former monopolies often adopt asymmetric behaviors: these firms impede the entry of foreign competitors in their home market, especially using defensive political strategies, and, at the same time, aggressively develop international strategies in foreign markets. To account for this behavior, I develop a game theoretic model involving three players: the former monopoly, its home government, and the host government of the country into which the firm wants to enter. I show first that there are in fact different asymmetric strategies that former monopolies can use in such a setting, and that a global strategy cannot always be implemented by those firms because of cooperation issues between the two governments. I also study the conditions under which these issues can be solved and show that this can happen only when the firm develops a political strategy that integrates both defensive and offensive activities. Overall, this paper therefore argues that asymmetric strategies are not always adopted to maintain monopoly rents but are also dictated by the nature of the international relationships between the governments involved. Copyright © 2003 John Wiley & Sons, Ltd.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".