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Record W3044181491

경쟁법상 부당한 공동행위의 형사처벌에 따르는 법리적 쟁점

2019· article· ko· W3044181491 on OpenAlexaboutno aff
조혜신

Bibliographic record

Venue경쟁법연구 · 2019
Typearticle
Languageko
FieldEconomics, Econometrics and Finance
TopicMerger and Competition Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSanctionsCartelPolitical scienceAntipathyEnforcementCompetition (biology)CriticismInternational communityCompetition lawLawLaw and economicsBusinessInternational tradeEconomicsIncentivePoliticsMonopoly
DOInot available

Abstract

fetched live from OpenAlex

Criminal punishment for cartels began with Article 1 of the U.S. Sherman Act, which has set a strong antipathy against cartels and monopolies at the time of the enactment of the Act. Against this backdrop, the so-called ‘conspiracy-centered approach’ was adopted. Specifically this approach could be explained as as ‘agreement’-oriented components that do not take into account their implementation or the consequences of implementation, a prohibition that is not exceptionally permissible, and strong criminal sanctions that include jail terms for individuals involved. On the other hand, the circumstances behind creating competition laws for the EU community and its members are clearly distinct from those of the United States. That is, in the background of the lack of experience in moral criticism of cartels, the EU Community and Member States Competition Law has adopted an administrative-regulatory approach, which has centered around specialized regulators, to determine whether an agreement is prohibited by combining “effects or consequences” with the agreement itself. Fines, administrative sanctions, have played a major role in enforcement. However, the introduction or reinforcement of criminal sanctions to enhance the effectiveness of cartels’ regulations is being noticeable due to the strengthening of awareness of problems with international cartels in the 1990s and the global spread of the leniency program that began successfully operating in the U.S. Currently, 12 countries among EU member states enforce criminal sanctions against cartels, while others, Canada, Australia, Brazil, Israel, Mexico and South Korea, do so. Many of these countries have adopted or strengthened them through legal revisions since the 2000s, showing a distinct tendency toward so-called “criminalization.” And in Korea, this trend is felt in the discussion surrounding the abolition of the “exclusive accusation system”. In the case of Korea, the exclusive accusation system could be said to have been an institutional mechanism that allowed criminal sanctions to exist in a coherent manner within the framework of administrative regulation, and thus mitigated legal and procedural problems that followed criminal sanctions to some extent. In other words, an independent regulator with expertise in the Fair Trade Act has been, to some extent, restraining the problems arising from the presence of both administrative and criminal enforcement by leaving the right to decide whether or not to initiate criminal enforcement. In particular, criminal punishment of the individual involved had been supported in the light of strengthening the deterrent effect without due consideration of its legal implications, and it is thought that critical review of it from the criminal law, particularly the question of ambiguity of the subject and the substance of legality, could never be omitted. It can be expected that the recently discussed abolition of the exclusive accusation system will bring about significant changes to the existing cartel’s enforcement system, that, among other things, the criminal procedure of administrative procedures cannot rule out the possibility of fundamentally changing the relationship between regulators and undertakings under competitive law, and that the benefits of enhancing the deterrent effect may not be significant due to the increase in regulatory costs associated with criminal procedures.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.836
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0880.086

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 head0.017
GPT teacher head0.199
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; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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