The Impact of Charcoal Production on the forest of Sub-Saharan Africa: A theoretical Investigation
Bibliographic record
Abstract
This paper examines the sustainability of charcoal production that maximizes social welfare based on optimal control techniques visa-vis the activities of profit maximizing charcoal producing firms in South Sahara Africa. I set up a theoretical model involving the socially optimal charcoal production that will maximize the socially optimal discounted sum of net benefit of Charcoal production for both the private profit maximization firm and that which will yield sustainability. After solving for the optimal choices for both functions it reveals that there is indeed divergence between these two entities simply because environmental degradation and deforestation (externalities) associated with charcoal production are not internalized into the production function of the profit maximizing charcoal producing firms. These externalities would lead to unsustainability of the forest environment and subsequently deforestation. Fiscal policy measures and public ownerships are recommended to deal with externalities that are inherent in charcoal production so as to improve sustainability while ensuring charcoal continues to provide livelihood benefits for the numerous people that live in the charcoal producing belt.
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 | 0.002 | 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) | 0.000 | 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".