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Record W2027632923 · doi:10.1177/1070496502238661

The Multilateral Fund and China's Compliance With the Montreal Protocol

2002· article· en· W2027632923 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Journal of Environment & Development · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
FundersMinistry of Public Security of the People's Republic of ChinaUnited Nations Development Programme
KeywordsRatificationMontreal ProtocolTreatyChinaNegotiationBusinessCompliance (psychology)IncentiveInternational tradeGovernment (linguistics)EconomicsInternational economicsFinancePolitical scienceLawPoliticsMarket economy

Abstract

fetched live from OpenAlex

International financial assistance can encourage developing countries to deal with global environmental problems, but there is little empirical study of the specific design features most important for success. This article examines the effect of the Multilateral Fund (MLF) on China's negotiation of and compliance with the Montreal Protocol. Access to the MLF was a major impetus for China's ratification of the protocol and the government's procedural compliance. Because it closed major loopholes, the sector-based approach to funding was far more effective than the project-by-project approach, leading to China's ultimate success in meeting the protocol's targets to freeze consumption and production of chlorofluorocarbons by 1999 and halons by 2002. China's experience suggests that effective international financial assistance mechanisms should make continuous fund eligibility contingent on evidence of successful compliance with treaty obligations, target sectors in which manufacturers have limited incentives to meet treaty obligations on their own, and use market-based instruments.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.034
GPT teacher head0.268
Teacher spread0.235 · 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