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Record W1543831736 · doi:10.3138/utlj.2605

Administrative decentralization and tax compliance: A transactional cost perspective

2015· article· en· W1543831736 on OpenAlexaffvenue
Wei Cui

Bibliographic record

VenueUniversity of Toronto Law Journal · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDecentralizationTax lawTax reformPhenomenonContext (archaeology)Public economicsBureaucracyIndirect taxAdministrative lawDouble taxationBusinessValue-added taxEconomicsAd valorem taxChinaPublic administrationPolitical scienceLawMarket economy

Abstract

fetched live from OpenAlex

A common phenomenon in tax administration in developing countries is that tax is collected, not according to the rules of law, but according to informal agreements between taxpayers and tax collectors. This article offers a novel explanation of this phenomenon in the Chinese context in terms of administrative decentralization. Administrative decentralization is defined as the concentration of government functions at the lowest ranks of a geographically dispersed bureaucracy. Decentralization increases the communication costs associated with the implementation of law and changes the structure of taxpayers’ costs in obtaining knowledge about the law. As a result, there emerges a ‘semi-compliant’ type of behaviour, involving many taxpayers who would have been compliant under a rule-based system, where tax is remitted and collected despite both sides’ being under-informed about the law. The article argues that this dynamic has frustrated tax administration reform in China and, interestingly, explains the underdevelopment of the tax professions and of tax litigation.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.979
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.100
GPT teacher head0.268
Teacher spread0.168 · 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

Citations5
Published2015
Admission routes2
Has abstractyes

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