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Record W2063178086 · doi:10.2202/1943-3867.1022

Competition Law as Development Policy: Evidence from Poland

2009· article· en· W2063178086 on OpenAlexaff
Reza Rajabiun

Bibliographic record

VenueThe Law and Development Review · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMerger and Competition Analysis
Canadian institutionsYork University
Fundersnot available
KeywordsBureaucracyCompetition lawCompetition (biology)HarmonizationMandatePoliticsEconomicsAccessionLaw and economicsEuropean unionPolitical scienceLawInternational tradeMarket economy

Abstract

fetched live from OpenAlex

The relationship between the design of competition laws and economic outcomes remains the subject of considerable controversy in both law and economics. Recent cross-national studies suggest that effective legal constraints against anticompetitive practices can enhance prospects for economic development by increasing the number of market participants and the quality of broader political and economic institutions. This paper explores the linkages between regulatory constraints against anticompetitive practices and the efficiency of market mechanisms by focusing on the experience in Poland between the collapse of central planning and regulatory harmonization pursuant to European Union accession. The analysis suggests that per se prohibitions and a narrow bureaucratic mandate provided relatively credible and predictable constraints against anticompetitive agreements and practices during the formative days of the market system in Poland. The evidence has implications for other jurisdictions that instead implement the rule-of-reason approach to the design of competition law during the 1980s and 1990s.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.048
GPT teacher head0.263
Teacher spread0.215 · 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 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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