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Record W4410638138 · doi:10.1080/13563467.2025.2504391

A less reluctant (green) Atlas? Explaining the People’s Bank of China’s distinctive environmental shift

2025· article· en· W4410638138 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNew Political Economy · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of CanadaDeutsche Forschungsgemeinschaft
KeywordsChinaAtlas (anatomy)Political scienceEconomicsEconomyFinancial systemLaw

Abstract

fetched live from OpenAlex

Why did the Chinese central bank embrace environmental policies earlier than Western central banks and with a consistent focus on a wider range of environmental issues and more ambitious promotional policies? Although the greening of central banks has attracted growing attention from scholars of political economy, this distinctive and pioneering role of the People’s Bank of China has received less attention than that of Western central banks. It can partly be explained by the Chinese central bank’s historically-rooted ‘developmental’ institutional features, namely its wider mandate, lack of political independence, and its more activist policy tools. But this institutionalist explanation also needs to be complemented by a more agency-centered one that examines the catalytic role of Chinese political authorities and financial technocrats, with their particular priorities and ideas. The analysis contributes to political economy literature on the emergence of green central banking by exploring the less-studied Chinese case and offering an analytical framework that encourages comparative study of this phenomenon beyond the Western context.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.523
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.036
GPT teacher head0.237
Teacher spread0.202 · 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