It Is Possible Fiscal Capacity Effected by Covid-19 Pandemic?
Bibliographic record
Abstract
The world economy, including Indonesia, in the first quarter of 2020 has not been too affected by Covid-19. However, in the second quarter of 2020, national economic growth began to decline. As a result of the contraction of the Indonesian economy, it has an impact on the decline in regional fiscal capacity. This study focuses on: 1) The effect of Economic Growth on fiscal capacity in 34 provinces in Indonesia before and during the Covid-19 pandemic?; 2). Development of sources of fiscal capacity in Indonesia; 3). Quadrant of Relationship between Economic Growth and Fiscal Capacity; 4). The government's policy direction is to encourage increased fiscal capacity during the Covid-19 pandemic. This research uses descriptive quantitative method using panel data regression model. The rate of economic growth does not significantly affect the amount of regional fiscal capacity in 34 provinces in Indonesia. The decline in fiscal capacity was largely influenced by a decrease in Regional Original Income (ROI). In 2021 the sources of fiscal capacity building have not run normally. The effect is that the regional fiscal capacity is still low for each province. Therefore, to restore the economy, the government uses various stimuli, namely fiscal, monetary, and sectoral.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 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".