Consumer Motivation behind the Use of Ecological Charcoal in Cameroon
Bibliographic record
Abstract
Climate change and global warming are amplified by pollution and deforestation. For this reason, governments around the world meet every year to find ways to reduce pollution and deforestation and ensure sustainable development. The use of clean energy, particularly ecological charcoal, appears to be an appropriate solution in developing countries. The main objective of this research is to assess the motivations for the consumption of ecological charcoal in Cameroon, using a quantitative approach based on Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were collected from 525 households in the cities of Yaoundé and Douala, Cameroon. The results show that the desire to protect the environment (ecological sensibility), the desire to reduce the energy costs of cooking (economic sensibility), the need to improve health and security, and the desire to enhance the quality of meals and to preserve the cleanliness of pots are all determinants in the consumers’ choice to use ecological charcoal. These results are refreshing. In Cameroon, in addition to its economic value, the massive consumption of ecological charcoal will contribute to a reduction in household waste management problems in cities and municipalities, while preserving the environment.
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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 | 0.001 |
| 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".