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Record W1549900441 · doi:10.7202/602137ar

Régulation et performances de l’activité de dépollution : une analyse économétrique sur données individuelles

2009· article· fr· W1549900441 on OpenAlexvenueno aff
Alban Thomas

Bibliographic record

VenueL Actualité économique · 2009
Typearticle
Languagefr
FieldDecision Sciences
TopicAuction Theory and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Nous décrivons dans cet article le mode de relation contractuelle existant entre une Agence de Bassin et des industriels polluants, et portant sur le financement de stations d’épuration. L’Agence de Bassin agit comme un régulateur vis-à-vis des industriels en fixant une taxe Pigouvienne sur les niveaux de pollution et en subventionnant les équipements d’épuration. L’un des objectifs de cet article est de préciser de façon quantitative le gain apporté par une régulation utilisant comme instrument alternatif une taxe personnalisée non linéaire. La fonction de dépollution des industriels est estimée en prenant en compte l’hétérogénéité des entreprises en matière de coût variable de dépollution. Les paramètres structurels ainsi estimés fournissent le point de départ d’une simulation d’un contrat virtuel avec taxe non linéaire, l’approche principal-agent étant utilisée comme cadre théorique. Les performances du contrat virtuel sont comparées à celles effectivement obtenues par la politique de taxe uniforme de l’Agence de Bassin.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.126
GPT teacher head0.353
Teacher spread0.228 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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