A Legal Framework for Sustainable Electrical Energy Industry in Nigeria
Bibliographic record
Abstract
Nigeria has fairly adequate endowment of energy resources, yet the country is lagging behind in terms of access to reliable and affordable energy supply. The country faces serious challenges as a result of declining electricity generation from domestic power plants. This steady decline has led to a near failure of the electric power sector. Electricity supply required to place Nigeria on the path of economic growth and sustainable development is in very short supply. The country has just 45 electrification rate, with only 54.7% of her population electrified as at 2016. More than 80 million people are still without access to electricity with frequent power failure. This has contributed to the slow economic growth currently experienced in Nigeria. Regular power supply is the hallmark of a developed economy. Nigeria is blessed with energy resources which could be harnessed to provide various modern energy services and which could have played essential role in the effort to alleviate poverty in the country. There is failure to mobilize the required resources for the development of energy resources in Nigeria. Around 1,500MW of Nigeria’s hydropower potential is currently being used, contributing to about 30% of the total amount of electricity produced. The large amount of gas associated with oil exploration operations is being wasted through flaring instead of being valuably used for power generation and industrial processes. Current patterns of production and consumption of energy are not sustainable. This paper highlights the importance of sustainable electric energy development in attaining sustainable development in Nigeria.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".