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Record W3141339861 · doi:10.1002/iir.1415

Economic and legal necessity of personal bankruptcy legislation in China

2021· article· en· W3141339861 on OpenAlexvenueno aff
Xiaoxiao Zhang, OU Fuyong

Bibliographic record

VenueInternational Insolvency Review · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Insolvency and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsBankruptcyLegislationStatus quoChinaDebtCreditorBusinessEconomicsEconomic policyFinancePolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract With more domestic pilot explorations launched in China, alternative debt adjustment regulations and bills relating to personal bankruptcy are thriving. This article aims to familiarize the readers with both the economic and legal necessity of a personal bankruptcy system as well as the feasibility of future legislation in China by examining publicized reports and present regulations. Past decades have witnessed the take‐off of China's economy along with prevailing trends in higher debt ratio, more credit loans, and pan‐commercialization. The proliferation of over‐indebtedness propels the need for personal bankruptcy regime. Given the status quo , some alternative legal methods are implemented. By deconstructing the existing regional regulations, this work identifies both progress and drawbacks of current debt adjustment rules from three angles: creditors' benefits, debtors' benefits, and social benefits. After identifying the need for personal bankruptcy legislation, this contribution focuses on the feasibility of a personal bankruptcy system in China. Several salient issues are discussed in three aspects, including political implications, cultural resistance, and social conditions. These unique factors should be considered in forthcoming legislation in China in order to secure a more suitable 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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.255
Teacher spread0.238 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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