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Record W2419423022 · doi:10.5539/jsd.v9n3p56

Green Economy and Renewable Energy Focusing on the Biomass Energy Source

2016· article· en· W2419423022 on OpenAlexvenueno aff
Mohammed Ebrahim Hussien, Chamhuri Siwar, Rashidah Zainal Alam, Abdul Hamid Jafar, Norasikin Ahmad Ludin

Bibliographic record

VenueJournal of Sustainable Development · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEnergy, Environment, Economic Growth
Canadian institutionsnot available
FundersInstitut Alam Sekitar dan Pembangunan, Universiti Kebangsaan MalaysiaUniversiti Kebangsaan Malaysia
KeywordsRenewable energySustainabilityNatural resource economicsFossil fuelGreen economyRenewable resourceSustainable developmentEnergy sourceBiomass (ecology)EconomicsEnvironmental economicsEconomyEcologyWaste managementEngineering

Abstract

fetched live from OpenAlex

<p>Since conventional energy resources are major source of CO<sub>2</sub> emission, over reliance on fossil fuels has raised questions on environmental sustainability. On way to address these multi-faceted issues of conventional energy sources, the sustainability of energy and environment is through the green economy approach. As such, this paper aims to discuss the concept of green economy in relation with renewable energy. The interdependence of green economy and environmental quality as well as the compatibility of green economy approach with the notion of sustainable development are demonstrated in the paper. Green economy approach fulfils the methodological gaps that exist in the growth models. It is believed that the best economic tool to attain sustainable development goals is by integrating social, economic and environmental elements. Furthermore, energy is believed to be a significant player in determining the greenness of the economy and sustainability as it has economic and environmental value. In addition, this study illustrates the significance of biomass energy resource and CO<sub>2</sub> emissions from fossil fuel combustion. The illustration framework justifies that biomass is the determinant renewable energy source to be a proxy for renewable energy resources. Similarly, it justifies that CO<sub>2</sub> emission of energy sector is considerably significant to represent the CO<sub>2</sub> emissions of the atmosphere.</p>

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.013
GPT teacher head0.171
Teacher spread0.158 · 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

Citations5
Published2016
Admission routes1
Has abstractyes

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