The Efficiency of Fiscal Incentive in Municipalities With Lower Human Development Indices: The Case of Maranhão
Bibliographic record
Abstract
The objective of this article is to verify if the fiscal incentive had impact on the generation of employment in the municipalities that have the lowest IDH indices of the state of Maranhão. To this end, the study analyzes the development of employment generation during the granting of the fiscal incentive in Maranhão through the Meso-regions between 2010 and 2016. The specific objectives are: to identify the criteria established for granting the fiscal incentive; compare the number of jobs generated with the number of companies that benefited from the tax incentive; to verify the evolution of the jobs generated in each mesoregion and to know the economic activities that generate more jobs in the state. The problem of this research is: what are the impacts of fiscal incentives on employment generation in municipalities with the lowest IDH indices in Maranhão. It considers the methodology of this study, a field research, but of quantitative-descriptive character. Among the results, it was identified that the fiscal incentive had no impact on job creation in the Meso-regions that have the lowest IDH indices in the state of Maranhão between 2010 and 2016.
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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".