Effect of Exports, Government Expenditures and Inflation on Economic Growth in Central Kalimantan
Bibliographic record
Abstract
This study analyzes how the partial and simultaneous influence of the components of exports, government spending and inflation on economic growth. The method used in this research is descriptive-quantitative approach. The data used in this study is time series data for 2010-2019 in the quarter period in Central Kalimantan Province. The collected data is then analyzed using Multiple Linear Regression, the software used is Eviews version 9. The results of this study indicate that partially exports have a negative and insignificant effect on economic growth. Government Expenditure partially has a negative and insignificant effect on Economic Growth. Inflation partially positive and significant effect on economic growth. And overall Exports, Government Expenditures, and Inflation simultaneously have no effect on Economic GrowthThis study analyzes how the partial and simultaneous influence of the components of exports, government spending and inflation on economic growth. The method used in this research is descriptive-quantitative approach. The data used in this study is time series data for 2010-2019 in the quarter period in Central Kalimantan Province. The collected data is then analyzed using Multiple Linear Regression, the software used is Eviews version 9. The results of this study indicate that partially exports have a negative and insignificant effect on economic growth. Government Expenditure partially has a negative and insignificant effect on Economic Growth. Inflation partially positive and significant effect on economic growth. And overall Exports, Government Expenditures, and Inflation simultaneously have no effect on Economic Growth
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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) | 0.001 | 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".