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Record W4407185329 · doi:10.1111/dpr.70001

Taxing high‐net‐worth individuals in Nigeria: Challenges and opportunities for policy‐makers from a preliminary investigation

2025· article· en· W4407185329 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

VenueDevelopment Policy Review · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsUniversity of Toronto
FundersDirektoratet for UtviklingssamarbeidForeign, Commonwealth and Development OfficeBill and Melinda Gates Foundation
KeywordsEconomicsPublic economicsDevelopment economicsBusinessEconomic growthPolitical science

Abstract

fetched live from OpenAlex

Abstract Motivation Nigeria ranks third in Africa for the number of US dollar millionaires, but whether these high‐net‐worth individuals (HNWIs) are contributing their fair share to domestic revenue mobilization is open to question. Although there have been various attempts to improve tax collection in recent years, including the establishment in 2023 of a presidential committee to harmonize fiscal policy across the country's 36 states, some of which are developing compliance strategies for wealthy individuals, very little is known about the impact of these reforms. Purpose To understand what approaches are currently prevalent to improve HNWI compliance across Nigeria and whether they are perceived to be effective. Methods The study is based on 12 semi‐structured interviews with public and private stakeholders from North East Nigeria, analysis of federal and state‐level legislation, data collected from 10 State Boards of the Internal Revenue Service from all Nigerian geopolitical zones in preparation for a two‐day workshop on HNWIs, and discussions with the 26 participants in the workshop. Findings Despite the great diversity in the economic and social structures of the states of Nigeria, legal, administrative, and political challenges faced by the State Boards of the Internal Revenue Service are very similar. Different states have passed subnational legislation that introduces requirements over and above those present in federal legislation to collect the information required to identify HNWIs. However, enforcement is made complex by low tax morale amongst the citizenship and political interference in tax administrative processes. These trends are then discussed in more depth for the particular case of Borno State. Policy implications Given the similarities between the obstacles faced by State Boards of the Internal Revenue Service in taxing HNWIs, there is scope for promoting regional approaches coordinated by the Nigerian Joint Tax Board. More evidence needs to be gathered on the effectiveness of policy measures implemented by particular states and the sharing of experiences across State Boards of the Internal Revenue Service needs to be facilitated.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.490
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.120
GPT teacher head0.272
Teacher spread0.152 · 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