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Record W6981779732

The failing firm doctrine in South Africa

2023· other· en· W6981779732 on OpenAlexaboutno aff

Bibliographic record

VenueUpSpace Institutional Repository (University of Pretoria) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsDoctrineRestructuringLegislatureMergers and acquisitionsCompetition (biology)Database transactionBankruptcyGuard (computer science)
DOInot available

Abstract

fetched live from OpenAlex

The financial and economic crisis has put businesses all over the world in danger of going out of business leading to the biggest industry restructuring in decades. measures may not be sufficient to ensure a firm's survival and competitiveness. Mergers and acquisitions can be one of the options at the disposal of the distressed firm. The failing firm doctrine or defence allows failing firms to merge or be acquired by a profitable firm in a transaction that would normally be regarded as anti-competitive in a merger review. The legislative framework that incorporates and applies the failing firm doctrine in South Africa is set out in section 12A(2)(g) of the Competition Act. It lists the failing firm doctrine as one of the factors to be considered when determining whether a merger will result in the substantial prevention or lessening of competition. Under the failing firm defence in South Africa, a merger that would be prohibited due to its anti- competitive effect could be permitted if the alleged failing firm (a) is unable to meet its financial obligations, (b) there is no other offer from a firm that would result in less anti- competitive effects, and (c) its assets would exit the market in the absence of the merger. This dissertation considered the failing firm doctrine in respect of merger evaluation and discussed the objectives set out in the Competition Act 89 of 1998. It has evaluated how the failing firm doctrine is formulated in South Africa aligns with the interpretation and application thereof in foreign jurisdictions such as the United States of America, the European Union, and Canada. It has taken into consideration a variety of case law and secondary sources to explore first, how the defence is approached and applied, and second, whether it is necessary to reconsider the defence in light of the pandemic. Furthermore, while the defence in general is taken into consideration, the pandemic has highlighted the importance of the defence's role in accomplishing goals in achieving public interest objectives. This dissertation argued that the substantive assessment test in section 12A of the Competition Act 89 of 1998 is capable of preserving a competitive market structure by treating the doctrine as a factor, that the flexible approach that competition authorities currently take, is capable of taking into consideration any economic crisis.

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)0.000
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.137
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.017
GPT teacher head0.211
Teacher spread0.194 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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