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Record W1535831459 · doi:10.59403/1ct26s2

Fiscal Federalism in Chinese Taxation

2011· article· en· W1535831459 on OpenAlexaff
Wei Cui

Bibliographic record

VenueWorld Tax Journal · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFiscal federalismEconomicsPublic economicsState (computer science)Control (management)ChinaLocal governmentTax reformFederalismDirectivePower (physics)Economic policyDecentralizationMarket economyPublic administrationPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

The recent policy literature on fiscal federalism in China has concentrated on the large “vertical fiscal gap” resulting in inadequate local provision of public goods and services. Thus there is an evident interest in giving local governments more taxing powers. After a brief historical survey, the article discusses a 1993 State Council directive that centralized taxing power. This has led local governments to make use of their control over tax administration to alter effective tax rates, and to the practice of “refund after collection”, whereby local governments disguise tax cuts as expenditures, following a logic opposite to tax expenditures. This study concludes, firstly, that the allocation of taxing power is still done outside the framework of the law, and secondly, that the government has not been able to settle on a stable allocation. Skirmishes over the control of local tax reductions and preferences remain a continuous affair.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.277

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.004
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.030
GPT teacher head0.287
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2011
Admission routes1
Has abstractyes

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