The Nexus between Sustainable Economic Development and Government Health Expenditure in Asian Countries Based on Ecological Footprint Consumption
Bibliographic record
Abstract
Health has vital importance in maintaining economic development since it is essential for, and a result of, economic development. This indicates that health makes a large contribution in achieving sustainable development and health outcomes. The significance of health is shown in the millennium development goals (MDGs) and in the sustainable development goals (SDGs), where four of the seventeen objectives focus on improving health outcomes (UN, 2021). As compared to other countries, some Asian countries are still worse off regarding health outcomes and are facing challenges in achieving positive outcomes for such goals. This study mainly focuses on identifying the link between public health expenditures and health outcomes in nine Asian economies from 2000 to 2018. The study implements fixed effects panel data estimations by using the Hausman specification test to identify the fixed effects model as the suitable estimator for the study. The empirical results from the fixed effects technique show that immunization, GDP per capita, trade openness, and utilization of basic water service facilities improve under-five and infant mortality in Asian economies. However, ecological footprint increases under-five and infant deaths by damaging the environment.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".