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Record W2419058707 · doi:10.13140/rg.2.1.1359.7048

What to Expect When China Liberalizes Its Capital Account

2016· preprint· en· W2419058707 on OpenAlexaff
Mark Kruger, Gurnain Kaur Pasricha

Bibliographic record

VenueEconstor (Econstor) · 2016
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsBank of Canada
Fundersnot available
KeywordsMilestoneChinaCapital (architecture)World tradeEconomicsFinancial capitalWorld economyFinancial integrationEconomyBusinessInternational tradePolitical scienceFinanceFinancial marketMarket economyGeographyHuman capitalCartography

Abstract

fetched live from OpenAlex

When China joined the World Trade Organization in December 2001, it marked a watershed for the world economy. Ten years from now, the opening of China’s capital account and the financial integration that will unfold will be viewed as a milestone of similar importance. This paper discusses the benefits, to China and the rest of the world, of deepening China’s capital account liberalization. We assess China’s current level of de jure and de facto integration, in relation to other G20 economies. We update the Pasricha et al. (2015) data on capital control actions to 2015 for China, to assess China’s international financial integration. We also look at its relative international investment position to gauge its de facto integration. We then estimate the size and composition of capital flows likely to ensue assuming that China’s further capital account liberalization results in its gross international investment position converging to that of the G20 average. In addition, we discuss the risks involved with the further opening of China’s capital account and how they can best be managed. We also emphasize the potentially stabilizing effects of residents’ flows and the importance of liberalizing inflows and outflows in a balanced way and at the same time.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.012

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 head0.023
GPT teacher head0.238
Teacher spread0.215 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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