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Record W4367307415 · doi:10.33002/jelp03.01.06

Climate Change and Corporate Regulation: A Critical Analysis of Egypt’s Legal and Regulatory Regime

2023· article· en· W4367307415 on OpenAlexvenueno aff
Kikelomo Oluwaseun Kila

Bibliographic record

VenueJournal of Environmental Law & Policy · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changePolitical economy of climate changeVetoClimate change mitigationLegislatureBusinessPublic economicsEconomicsPoliticsPolitical scienceNatural resource economicsLawEcology

Abstract

fetched live from OpenAlex

Corporations operating in African states generally have apathy to climate change/environmental regulation, owing to their weak economic bargaining strength in these states. Egypt is one of the African states suffering the disproportionate impacts of climate change and although it has drawn up several climate policy documents, it has not yet enacted a Climate Change Act and has a weak regulatory capacity to restrain adverse corporate climate change-impacting activities. This article critically analyses the legal/ regulatory regime in Egypt for regulating corporate participation in climate change mitigation and its effectiveness in addressing climate change challenges. It critically analyses the implementation of the Dilute Interventionism Model. It evaluates the required legislative framework, regulator, and technical expertise necessary for its successful implementation. This paper also highlights the importance of the Veto Firewall protection to maintain the independence of the sole independent regulator responsible for regulating the climate change activities of corporations. This paper argues that the Dilute Interventionism Model, in conjunction with the veto firewall paradigm, provides a practical and effective approach to regulating corporations. However, successful implementation will require political will, corporate compliance, and technical capacity. This paper provides policymakers, stakeholders, and interested parties in Egypt and elsewhere with useful insights for addressing climate change challenges.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

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

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 head0.113
GPT teacher head0.332
Teacher spread0.219 · 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.

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

Citations7
Published2023
Admission routes1
Has abstractyes

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