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Record W3216843367 · doi:10.5539/jpl.v15n1p34

A Comparative Study of China's Competition Law and Cameroon's Competition Law; With Specific Regards to Challenges in the Implementation of Competition Law in China and Cameroon

2021· article· en· W3216843367 on OpenAlexvenueno aff
Lu Ming Yu, Yongyeh Ngalim Elizabeth

Bibliographic record

VenueJournal of Politics and Law · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsCompetition lawChinaCompetition (biology)LegislationEconomicsLawInternational tradePolitical scienceMarket economyMonopoly

Abstract

fetched live from OpenAlex

This study aims to investigate and compare the competition laws of Cameroon and China, with a focus on the limitations and constraints of competition law implementation in Cameroon and China. By comparing the Competition Laws of China and Cameroon, the research intends to determine whether there are any limits in the implementation of Competition Law in Cameroon and China. To examine and get results for the research’s many goals and objectives, this study uses qualitative data analysis. Competition legislation has had a considerable impact on China's economy in recent years, and it will eventually have an impact on trade policies that are directly tied to the international market. During our research, we discovered that competition law regulations have an impact on national and international trade in each country. And we realized that Cameroon's competitiveness policies are in some ways behind the times in the twenty-first century. As a result, there is a growing need to look into the divergence between China's competition law and Cameroon's competition law in order to assist Cameroonian competition law authorities in updating and making structural changes to Cameroon's competition legislation. These revisions will improve Cameroon's national and international trade policies, but they will have a substantial influence on the country's current economy. There may be some takeaways for China's competitive law policymakers as well. There is no academic work of this kind after a vast range of research, and this will be a wonderful opportunity to introduce creative work to this academic sector. The Anti-Monopoly Law of China has greatly evolved in the past years and there has been amendments and structural adjustments in the past years, which is very great, because Competition Law plays a great role in the economic progress of each country. As a result, the purpose of this study is to identify any obstacles to the implementation of Cameroon's Competition Law (Law No.98/013 of 14 July 1998) and China's Anti-Monopoly Law (2008).

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.518

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0060.004
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.079
GPT teacher head0.288
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2021
Admission routes1
Has abstractyes

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