Bibliographic record
Abstract
An essential ingredient to net-zero-emissions policies is to regionally integrate electricity markets. But electricity cross-border trades are often assessed as inefficient. We explain this inefficiency by the presence of a dichotomous regulation: producers are highly regulated with regard to their local activities, but weakly regulated when it comes to their exports. Such a dichotomy in regulation can be generalized to every economic sector, with varying intensity. We develop a generic 2-player 2-stage game theoretical framework where producers anticipate the impact of their exports on the clearing of regulated local markets. We characterize the subgame-perfect Nash equilibrium of the game as a function of the relative price-elasticity between markets. Overall, dichotomous regulation leads producers to over-export in order to create scarcity in their home market. Hence, despite that local markets clear efficiently, the global equilibrium is inefficient. When the two jurisdictions are relatively symmetric, the equilibrium is Pareto-dominated by the first-best outcome. These results call for better coordination between regulators across different jurisdictions.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
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".