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Record W4409230559 · doi:10.61173/vzmkzr88

Current Development and Future Outlook of China CBDC (e-CNY): A Literature Review

2025· review· en· W4409230559 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFinance & Economics · 2025
Typereview
Languageen
FieldEngineering
TopicPower Systems and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsCurrent (fluid)ChinaGeographyGeologyOceanographyArchaeology

Abstract

fetched live from OpenAlex

The great success of Bitcoin has drawn the attention of the world to the field of digital currency. Stablecoins and CBDC have come out right after cryptocurrencies. This study focuses on analyzing CBDC, especially China CBDC (e-CNY), elaborating and comprehending arguments from several outstanding essays in this field. In this study, the author summarizes the development history of e-CNY, concludes the competitive advantages of e-CNY over other types of payment methods, points out the potential shortcomings of e-CNY, and implements possible solutions. In order to provide reliable suggestions and recommendations, the author has compared e-CNY with several existing CBDC from different countries and regions in the world, including CBDC from Singapore, Canada, and England. In the short run, China CBDC can enhance finance monitoring and reduce M0 supply. In the long run, it could stimulate the internationalization of the RMB and boost the evolution of the global monetary system.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.234
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it