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Record W2892096463 · doi:10.5430/bmr.v7n3p10

Impact of Management Practices in Industries in the Industrial – Free – Trade Zones in Douala, Littoral Region of Cameroon: “Challenges and Prospects”

2018· article· en· W2892096463 on OpenAlexvenueno aff
Fuamenya A. Francis

Bibliographic record

VenueBusiness and Management Research · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Zones and Regional Development
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)SummitBusinessCommissionEnvironmental planningEnvironmental resource managementEnvironmental protectionEconomic growthGeographyEconomics

Abstract

fetched live from OpenAlex

In Cameroon of late, there is growing consciencious that the deleterious impacts of industrial activities on safety health and environmental quality has motivated government and industries to adopt environmental management practices such as the EMSs and EMA, that is, Environmental Management Systems, and Environmental Management Accounting respectively at the least. This paper however, examines the implementation of EMSs and EMA amongst others in industries in the Industrial –Free – Trade Zones of the South West and Littoral Regions of Cameroon that interact with its environment which has been affected by the effluents emanating from industrial activities.This paper also presents an overview of various initiatives like policies that have been crafted by the government of Cameroon to address the problems of industrial activity such as pollution etc. It also seeks to prescrible recommendations which could be used to save the regions, from industrial pollution. After the participation of Cameroon in the Earth’s Summit in Rio de Janerio, Brazil (1992), and ever since the publication of the Brunditland Commission’s Landmark Report ‘‘Our Common Future’’, in (1987), the government has taken significant steps to overhaul its institutional framework vis – à – vis the regulation of industrial pollution.Through a questionnaire based survey carried but from January to July 2016 with the sampled industries in the Industrial – Free – Trade – Zones of the South West and Littoral Regions of Cameroon, data was collected. This paper also aims at addressing motivational factors, implementation hurdles as well as benefits accrued by these industries as a result of adapting environmental management systems in their management practices generally. Studies also support that many benefits arise as a result of EMSs and EMA enforcement, but the paradox is the plethora of hurdles that still persist in industries. Against this background, this paper concludes by prescribing recommendations that seek to promote management practices such as EMSs and EMA in industries in Industrial – Free – Trade – Zones in Cameroon.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.276
GPT teacher head0.346
Teacher spread0.070 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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