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Record W4301322000 · doi:10.51758/agjsr-04-2014-0028

Comparative Study of the Environmental Impact Assessment System in the State of Kuwait with International Best Practice using Gap Analysis Approach

2014· article· en· W4301322000 on OpenAlexaff
Aisha Salem Al-Hamdan, Anwar Sheekheldeen Abdo, Amir Al-Sammak

Bibliographic record

VenueArab Gulf Journal of Scientific Research · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsImpact
Fundersnot available
KeywordsEnvironmental impact assessmentEnvironmental planningBusinessImpact assessmentBest practiceEnvironmental resource managementRecreationGap analysis (conservation)Risk analysis (engineering)Environmental protectionPolitical scienceEnvironmental sciencePublic administration

Abstract

fetched live from OpenAlex

This study addresses the issue of the Environmental Impact Assessment (EIA)in the State of Kuwait, which has become inherent in many development projects. Numerous international and local institutions require assessment of environmental impacts prior to final approval of project implementation. In addition, item number (1) of Law No. 16 of 1996 amended provisions of Law No. 21 of 1995 issued by the General Authority for Environment stipulates the need for an environmental impact assessment, which became incumbent on everyone before the implementation and operation of any facility, whether industrial or recreational. The study aims to evaluate the methodology of the Kuwaiti Environmental Impact Assessment system, with regards to its stages and mechanism of follow-up procedures. And to compare it with the components, methods, criteria and policies of the current best global practices implemented by the World Bank and environmental impact assessment systems in Bahrain, Sultanate of Oman and Egypt. The study aims also to identify deficiencies and policy draw backs of EIA system in Kuwait, and to propose procedures that improve the application of environmental impact assessment methodologies. To achieve the objectives of the study an analysis of the data gathered from reports, scientific assessments, as well as from private consultancy offices was performed. The use of Gap approach enabled the researchers to identify the various gaps and limitations in the current practices and application of EIA procedures in the State of Kuwait. The EIA procedures and policies of the World Bank were the basic references of the study. The findings of the analysis show that: there is a gap between the environmental policies in Kuwait and how thoroughly these policies are applied in the field. This gap led to an imbalance in the practice of environmental impact assessment procedures. Public participation was weak in the stages (Scoping and Review) of environmental impact assessment. Participation is considered an effective part of the environmental assessment planning processes. The study proposed several recommendations for improving the EIA system in the State of Kuwait including: preparation of new procedural guidelines that will provide the basis to be applied by the General Authority for Environment during the audit of the environmental impact assessment reports, up-grading of the consultancy offices and encourage the active participation of the public in the stages of environmental impact assessment planning processes.

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)0.010
metaresearch head score (Gemma)0.022
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 score0.037
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.012
Science and technology studies0.0020.002
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.001
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 head0.097
GPT teacher head0.431
Teacher spread0.333 · 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
Published2014
Admission routes1
Has abstractyes

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