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Record W7132576298

债务分布与企业风险承担——基于投资效率的中介效应检验

2015· article· W7132576298 on OpenAlex
夏子航, Dengbiao Chen, 马忠

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCEIBS Institutional Repository · 2015
Typearticle
Language
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsCentre Casa
Fundersnot available
KeywordsProcess (computing)Identification (biology)Product (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

区别于现有研究从上市公司合并整体视角考察债务契约的治理效应,本研究从企业风险承担视角考察了母子公司债务分布的治理效应。理论上,母子公司的债务分布可以通过约束过度投资和缓和投资不足两个路径影响合并整体的风险承担水平。研究发现,过度投资或者投资不足均加剧了公司的风险承担水平;对于经营业务主要分布在子公司的上市公司,增加子公司的借款比重明显降低了合并整体的风险承担水平,主要原因在于子公司债务约束了公司的低效投资。进一步研究发现,债务分布对风险承担的影响路径虽然包括抑制过度投资或投资不足,但针对我国国有企业前者更为明显,民营企业则是通过后一路径发挥影响。本研究揭示,债务的治理效应除受总体债务水平、债务期限影响外,债务在集团内部的分布特征也是一个重要影响因素。研究深化了债务治理效应的相关研究,为我国上市母子公司集团内部的债务管理提供了实践启示。

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.837
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.020
GPT teacher head0.219
Teacher spread0.199 · 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