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Record W2128069902 · doi:10.1093/0199278555.003.0011

National Taxation, Fiscal Federalism and Global Taxation

2004· book-chapter· en· W2128069902 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.

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsQueen's University
FundersUnited Nations University World Institute for Development Economics ResearchDepartment for International DevelopmentStyrelsen för Internationellt Utvecklingssamarbete
KeywordsFiscal federalismRedistribution (election)RevenueExternalityPublic economicsTax revenueEconomicsPublic goodGovernment (linguistics)Economic policyTax policyPublic financeFederalismGovernment revenueTax reformPolitical scienceFinanceMacroeconomicsMarket economyMicroeconomicsDecentralization

Abstract

fetched live from OpenAlex

Abstract This chapter, together with chs. 2 and 10, approaches the question of development funding in a theoretical way, rather than by examining individual proposals for sources. One purpose of the book is to bring to bear on this accumulated knowledge in the field of national public finance, and more generally public economics. This chapter looks at the lessons to be learned from the fiscal federalism literature. It highlights some of the similarities and some of the differences between fiscal institutions in federations and those that might apply in a global setting, and draws a number of conclusions about sources of new revenues for development, dealing specifically with taxes on nations, taxes on global externalities, and taxes on internationally mobile tax bases. The three main sections of the chapter look at: revenue‐raising in a federal setting – assignment of revenue‐raising authority, intergovernmental transfers, cooperative behaviour by subnational governments, and freeriding by subnational governments; revenue‐raising in federations with no central government – non‐cooperative and cooperative subnational redistribution; and the implications for global revenue sources – taxes on nations (a global equalisation scheme), taxes on international externalities, and taxes on internationally mobile tax bases.

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 categoriesInsufficient 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: Other · Consensus signal: Other
Teacher disagreement score0.395
Threshold uncertainty score0.999

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)0.0020.000

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 head0.020
GPT teacher head0.278
Teacher spread0.257 · 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