MétaCan
Menu
Back to cohort
Record W4214515260 · doi:10.3390/socsci11030099

Variable Interest Entity, Offshore Domesticated Foreign Finance, and the Political Economy of China’s Internet Firms: The Case of Alibaba

2022· article· en· W4214515260 on OpenAlexafffund
Can Zhao

Bibliographic record

VenueSocial Sciences · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicState Capitalism and Financial Governance
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCorporate governanceChinaBusinessCapital marketForeign direct investmentGlobalizationFinanceCapital (architecture)The InternetPoliticsMarket economyEconomicsFinancial systemLaw

Abstract

fetched live from OpenAlex

This article aims to show how the globalized securities market in general and a transnational legal business structure named variable interest entity (VIE) in particular has challenged our conventional understanding of “foreignness” as a geographical concept in cross-border capital flow and ushers in a new type of foreign investment which I call “offshore domesticated foreign finance” (ODFF). By performing a case study on Alibaba—one of the world’s leading VIE-structured Internet companies—and mapping out the company’s fund-raising history and personnel appointment mechanism with the help of company releases and news reports, this article shows how ODFF makes a company de jure foreign-incorporated and -owned but de facto China-based and Chinese-controlled. This article also demonstrates that ODFF’s primary function is to allow China-based Internet firms to tap into international financial markets while helping Chinese entrepreneurs and managers—despite their minority shareholdings—to control the company. These findings shed light on how financial globalization has transformed the cross-border capital movement and corporate governance.

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.022
GPT teacher head0.244
Teacher spread0.222 · 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 designTheoretical or conceptual
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

Citations5
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueSocial SciencesSame topicState Capitalism and Financial GovernanceFrench-language works237,207