Exploring the Relationship between Digital Inclusive Finance and Traditional Finance in China
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since 2016, China has incorporated the development of digital inclusive finance (DIF) into its national strategic plan and supported it with favorable policies. These policy changes not only promote the sustainable development of finance but also provide an opportunity to examine the relationship between DIF and traditional finance. This study utilizes panel data from China's prefecture-level cities spanning 2011 to 2019 and employs the generalized difference-in-difference method to analyze the impacts of relevant policies. The findings indicate a positive correlation between the level of traditional finance and the successful implementation of policies that promote DIF, suggesting a complementary relationship between traditional finance and DIF. Additionally, analysis reveals that in regions with more favorable financial and technological conditions, traditional finance plays a prominent supportive role in facilitating DIF. Therefore, policies promoting DIF should consider local financial and technological landscapes while developing tailored strategies based on the maturity level of traditional finance.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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