Assessing the Effect of the Cameroon’s Investment Charters on Private Investment
Bibliographic record
Abstract
The Cameroon government has implemented a series of investment legislations, the latest of them being that of 2002 with the aim of boosting investments and stimulating economic growth. This paper while focusing on the latest investment code contends that the various investment legislations have had a positive effect on private investments. Data for the study is collected from the World Bank Development Indicators, covering a period of 31 years from 1980 to 2010. The estimation technique used for this study is the Generalized Methods of Moments (GMM) estimation technique. The analyses (both descriptive and empirical) showed that the institution of the investment charter between 1991 and 2002 did not improve the level of private investment. However, we did obtain results indicating that the introduction of the investment charter in April 2002 resulted to an improvement in the level of private investment. Other results obtained showed that domestic credit to the private sector, GDP growth and electricity production play a positive and statistical significant influence on the level of private investment in the country. An important conclusion is that the policy structures of the 2002 investment charter should be fully implemented so as to encourage and enhanced private investment in the country.
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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 | 0.001 |
| Open science | 0.001 | 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".