The impacts of biodiesel feedstock production systems in South Africa: An application of a Partial Equilibrium Model to the Eastern Cape Social Accounting Matrix
Bibliographic record
Abstract
In this paper the impacts of biodiesel feedstock production in the Eastern Cape Province of South Africa is assessed through the application of a Partial Equilibrium Model to the Eastern Cape Social Accounting Matrix, using canola production in the Province as an ‘external shock’. Six economic indicators were estimated. The results show that investment in biodiesel production in the Eastern Cape will generate, in 2007 terms, an additional GDP of R18.1 million and 410 employment opportunities per annum, R24.3 million per annum over an assumed lifetime of 20 years in capital formation, R2.1 million additional income generated in low income households, increase in government revenue, and a positive balance of payment. These indicators imply that, given the parameters that are accounted for in a Partial Equilibrium Model, every Rand invested in canola projects in the Eastern Cape will, overall, be of socio-economic advantage to the Province. It is envisaged that further applications of such models may lead to a better understanding of the implications of biofuels in the South African economy, and thereby inform decision- and policy-making in terms of the sustainability of biofuels production systems in general.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".