Interaction between Financial Development and Sustainable Development, Evidence from Developing Countries: A Panel Data Study
Bibliographic record
Abstract
Sustainable development is a complex concept of the world’s and is an major challenge for all countries. For that reason, some authors have argued the essential role of financial development to stimulate the various pillars of this concept, respectively, the economic pillar, ecological and social. The objective of this paper is to study how the financial system in developing countries contributes to the improvement of sustainable development, focusing particularly on the environmental pillar. Estimations are conducted with a panel data of 20 development countries over the period of 1995-2011 using Econometrics static panel. Our findings show that financial system in developing countries, generally has a favorable impression on Environmental, unfavorable effect for industrial investment and economic growth, but in contrast, in insignificant effect for domestic credit provided by banking sector relative to GDP and Life expectancy at birth, total (years).
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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 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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".