Administrative Simplification and Economic Growth: A Cross Country Empirical Study
Why this work is in the frame
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Bibliographic record
Abstract
Administrative burdens stemming from regulations are a worldwide cause of concern for policy-makers. Reducing administrative burdens has become an important policy objective in economic growth strategies for many governments. The European Commission set out a policy goal of reducing administrative burdens by 25% by 2012, although the literature provides limited evidence of its impact. Therefore, this paper examines the impact of administrative burdens on growth by using 6 business regulation variables for a panel of 182 countries. The results from the fixed effect regression analysis suggest that reducing administrative burdens in certain policy areas spurs economic growth. In particular, reducing burdens concerning start-ups and paying taxes enhances growth significantly. Furthermore, using a panel of 26 European countries, our results suggest that reducing the administrative burdens by 25% has a positive effect on growth of 1.62 % in the European Union.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it