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Record W4413780359 · doi:10.55559/sjahss.v4i7.538

Marine Renewable Energy and Economic Sustainability: Policy Frameworks for Scaling Offshore Wind and Tidal Power

2025· article· en· W4413780359 on OpenAlexaboutno aff
Mohammed Kabeer Garba

Bibliographic record

VenueSprin Journal of Arts Humanities and Social Sciences · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsnot available
Fundersnot available
KeywordsOffshore wind powerRenewable energySustainabilityTidal powerSubmarine pipelineWind powerScalingMarine energyEnvironmental scienceNatural resource economicsEnvironmental economicsEconomicsMarine engineeringOceanographyGeologyEngineeringElectrical engineeringEcology

Abstract

fetched live from OpenAlex

This study investigates the policy frameworks necessary for scaling marine renewable energy (MRE), specifically offshore wind and tidal power, within the context of economic sustainability. The objective is to critically examine how current policies support or hinder the expansion of MRE and to propose strategic frameworks that align environmental goals with long-term economic development. Drawing on a qualitative, comparative case study methodology, the research analyzes policy instruments and institutional arrangements in selected leading MRE countries, including the United Kingdom, South Korea, and Canada. Data sources include government policy documents, international energy databases, and expert interviews. The paper uses two theoretically related to each other concepts: ecological economics, which breaks down the interdependence between economic systems and natural ecosystems, and the policy cycle model and helps to assess the success of policy-making and its application. The value of this study is that it helps to support the filling of policy/governance gaps that inhibit the wider uptake of marine renewables. The conclusion shows that there is a need to have integrated, adaptive, and inclusive policy processes that enhance innovation by minimizing the risks associated with investments as well as equitable distribution of benefits among coastal environments. This paper provides policy recommendations that can be used to scale MRE technologies as it promotes sustainable economic results and extends on the expanding data on the policies of energy transition and blue economies.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.541

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.010
GPT teacher head0.246
Teacher spread0.236 · 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 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueSprin Journal of Arts Humanities and Social SciencesSame topicCoastal and Marine ManagementFrench-language works237,207