Budgetary Control and Performance: the Case of Councils in Mezam and Momo Divisions of Cameroon
Bibliographic record
Abstract
The pursuit of quality service delivery in the public sector management in Cameroon necessitated the decentralisation of public sector management by transferring more power and resources to the local councils. This is in a bid to make them more self-governing. These councils are expected to meet the aspirations of their municipalities by carrying out approved projects efficiently and effectively. In this regard, this paper sets out to investigate the relationship between budgetary control and performance of local councils in Mezam and Momo Divisions of the North West Region of Cameroon, and the challenges these councils encounter in the process of budgetary control. Data was collected through a survey and analysed using the Ordinary Least Square (OLS) estimation technique to regress the relationship between the budgetary control variables and council performance. The empirical results showed that the key budgetary control variables (planning, participation, monitoring and control, motivation, communication, and responsibility) have a positively and statistically significant effect on performance of the councils. Effective performance of local councils in Mezam and Momo Divisions of the North West Region of Cameroon could then be attributed to effective presence of budgetary control requiring the availability of financial resources rationally allocated, qualified and experienced personnel, participation of all responsibility center managers in the planning and control processes, and regular communication and motivation of the council staff.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".