Green Economy and Renewable Energy Focusing on the Biomass Energy Source
Bibliographic record
Abstract
Since conventional energy resources are major source of CO2 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 CO2 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 CO2 emission of energy sector is considerably significant to represent the CO2 emissions of the atmosphere.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".