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Record W3015345097 · doi:10.1080/01900692.2020.1741616

The Differential Impact of Democracy on Tax Revenues in Developing and Developed Countries

2020· article· en· W3015345097 on OpenAlex
Harun Ur Rashid, Hussein A. Warsame, Shahid Khan

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

VenueInternational Journal of Public Administration · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDeveloping countryDemocracyTax revenueRevenueEconomicsPublic economicsDevelopment economicsBusinessPolitical scienceEconomic growthAccountingPolitics

Abstract

fetched live from OpenAlex

This paper investigates the extent to which democracy affects tax revenues in developing countries in comparison to developed countries across various categories of tax revenues. Based on a sample consisting of 30 developed and 29 developing countries for 2006–2013, the authors find that while democracy has a positive association with tax revenues in developed countries, the association is generally negative for developing countries compared to their counterparts. This study finds that the tax revenues most negatively affected by democracy in developing countries are corporate. The positive findings for developed countries support predictions of the compatibility perspective: that democracy results in economic growth. For developing countries, the relationship is either negative or weaker, matching the predictions of the conflict perspective that democracy results in various groups increasing rent-seeking activities from the state. These findings have implications for tax-related public policies.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score0.183

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.079
GPT teacher head0.317
Teacher spread0.238 · 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