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Record W4406767236 · doi:10.1177/00219096251313544

Site Value Taxation Policy in Kenya: Unravelling the African Legacy of Georgist Political Economy

2025· article· en· W4406767236 on OpenAlexaboutno aff
O.A. K’Akumu

Bibliographic record

VenueJournal of Asian and African Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)KenyaPoliticsEconomicsValue (mathematics)EconomyPolitical scienceEconomic growthDevelopment economicsGeographyLaw

Abstract

fetched live from OpenAlex

Henry George made a remedial call for site value tax paid by the owner of the land based on the potential annual rental value of whatever land is held. Land, in this context, refers to the surface areas of the earth that serve as development sites, especially within urban jurisdictions, and are typically subject to some form of property taxation. Henry George’s ideas on land taxation influenced tax policies in countries colonized by the British, in particular, Australia, New Zealand, Canada and South Africa. However, his influence in Africa has not been explored. Taking Kenya as a case country, this study investigates the diffusion of George’s ideas in Africa and to Kenya, examines the implementation of these ideas in Kenya and evaluates the outcome of their application to draw insights from the Kenyan experience. The study found that Henry George’s idea of site value taxation, introduced to the country through South Africa under the influence of the British Liberal Party, is the driving factor of urban land taxation in Kenya. In this respect, the unimproved site value remains the principal land tax levied in Kenya to date. However, the single tax proposal was not considered by the policymakers in the process of land taxation policy development.

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)0.001
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 score0.836
Threshold uncertainty score0.226

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.027
GPT teacher head0.322
Teacher spread0.294 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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