Local Perceptions about the Effects of Jatropha (Jatropha curcas) and Castor (Ricinus communis) Plantations on Households in Ghana and Ethiopia
Bibliographic record
Abstract
Biofuel plantations have been hyped as a means to reinvigorate Africa’s rural areas. Yet there is still apprehension about the negative environmental and social impacts of large-scale commercial biofuel production around rising food prices, land grabbing, ecological damage, and disruption of rural livelihoods. Given the extent of Jatropha curcas production in Ghana and Ethiopia and Castor bean (Ricinus communis) in Ethiopia, this paper presents the results of a study that assessed the socio-economic implications of industrial Jatropha plantations on local livelihoods in Ghana, and of industrial Jatropha and Castor plantations on local livelihoods in Ethiopia. This study used primary data collected from 234 households in Ghana and 165 in Ethiopia. The cultivation of Jatropha and Castor has had several important effects on local livelihoods in the study sites, most notably decreases in household landholdings due to the arrival of industrial Jatropha or Castor plantations; and the resulting changes these plantations have caused in household socio-economic status, food security, fallow periods, and fodder availability. We consider how a lack of meaningful consultation between local people, their traditional authorities and the biofuel company managers, along with shortcomings in each country’s broader land acquisition process and poor land use information, may have contributed to these overall negative effects on local livelihoods. We conclude by suggesting several ways that emerging biofuel industries could be improved from the perspective of local people and their livelihoods.
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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 | 0.000 | 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 | 0.001 |
| 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".