Transition to Sustainable Energy as a Tool for Decarbonisation in Nigeria: Regulatory Challenges
Bibliographic record
Abstract
Global energy mix is shifting from fossil fuels to renewable energy. Most developed nations are working towards decarbonizing their economy while ensuring sustainable energy. This energy transformation is also expected to gain momentum in the developing world as new ecosystems are forming and new technologies are emerging. These developments in technology that developed nations have keyed into are helping to grow renewable, develop new energy carriers, improve energy efficiency, reduce emissions and create new markets for carbon and other by-products as part of an increasingly circular economy. At COP26, it was made compulsory for developing countries to transition from fossil fuels to a decarbonized economy. Climate change financing is now viewed as part of adaptation, mitigation and economic development measures. These measures are expected to help reduce the harsh effects of global climate change. This is not the case in Nigeria where many of these commonly pursued steps to decarbonisation, such as increased electrification, wide-scale use of renewable energy and intensifying energy efficiency measures are mired by regulatory challenges. This article using doctrinal research methodology aims to explore how developing countries like Nigeria with heavy reliance on fossil fuel can accelerate decarbonisation over the next decade and achieve the timelines for the 2030 National Determined Contributions (NDCs), which has been advanced from 2025 to the end of 2022 at the COP26.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".