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Record W2604875496 · doi:10.1017/s0260210517000109

The political economy of currency internationalisation: the case of the RMB

2017· article· en· W2604875496 on OpenAlexaff
Randall Germain, Herman Schwartz

Bibliographic record

VenueReview of International Studies · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsCarleton University
Fundersnot available
KeywordsRenminbiCurrencyReserve currencyInternationalizationLiberian dollarEconomicsInternational economicsChinaDevaluationInternational tradePolitical scienceExchange rateMonetary economicsFinance

Abstract

fetched live from OpenAlex

Abstract The rise of China has sparked a debate about the economic and political consequences for the global economy of the internationalisation of the renminbi. We argue that the dominant focus of this literature – primarily the external conditions and requirements for a national currency to become an international currency – misspecifies the connections between the international and domestic requirements for currency internationalisation, as well as the potential to become the dominant international reserve currency. We correct this oversight by developing an integrated theoretical framework that highlights the domestic adjustment costs which a state must accommodate before its currency can carry the weight of internationalisation. These costs constitute a critical element of an international currency’s ‘political economy’, and they force states to negotiate contentious social trade-offs among competing domestic claims on finite public resources in a sustainable manner. Our analysis suggests that the likelihood of China being able to successfully negotiate the social costs associated with running a fully internationalised currency is currently very low, precisely because this will place unacceptable pressure on groups benefiting from the economic and political status quo. This further suggests that the American dollar will remain unchallenged as the global economy’s pre-eminent international currency for the foreseeable future.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score0.207

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.081
GPT teacher head0.361
Teacher spread0.280 · 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

Citations41
Published2017
Admission routes1
Has abstractyes

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