WWF’s Green Business Model in Protected Area Conservation and Livelihoods Sustenance in Cameroon: The Need for a Shift in Approach?
Bibliographic record
Abstract
Rising interests to support green development through targeted conservation approaches in the developing world attracted international NGO attention especially in the 1990s. One of such NGOs, the World-Wide Fund for Nature (WWF) has been backstopping many African nations in the process of realizing the twin objectives of livelihood sustenance and protected area conservation. In the case of Cameroon, one of her key areas of intervention has been the introduction of green business initiatives as a way of strengthening the link between livelihood support and conservation in protected areas. With a focus on Cameroon, we review the green business model (Note 1) as a WWF intervention approach in Africa. We undertake a random survey of household representatives drawn from 7 WWF conservation cooperatives in Cameroon on their perceptions and preferences with regards to the green business initiative. This was complemented by interviews to 8 WWF and partner CSO representatives, and field observations. The results are discussed to include a schema of the green business approach in Africa with a focus on Cameroon, cooperative members’ knowledge levels of the initiative, impact of the initiative and clarity of benefit sharing schemes in place, among others. The pairwise correlation shows a strong positive relationship between knowledge/experience levels and a number of elements including shortcomings of the initiative, the need for strategy improvement, and the tendency for outside influence on the green business choices. This aspect equally showed a strong positive correlation with the need to switch to other green business options and unclear benefit sharing. In conclusion, we argue for a shift in the green business approach to capture issues of improvement in knowledge levels, diversification, technical and institutional capacity building, clarity of benefit sharing, and value chain development. We further advocate for a green business approach in tandem with the aspirations of local populations around protected areas on the one hand, and the need for a conservation cooperative alliance on the other hand. The results contribute to the “green economy” discourse which has significantly gained grounds in all spheres of conservation and development interventions.
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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 | 0.000 | 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".