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Record W4210589280 · doi:10.5325/jafrideve.11.1.0011

Water Price Reforms in Senegal: Distributional Impact Analysis

2009· article· en· W4210589280 on OpenAlex
Dorothée Boccanfuso, Antonio Estache, Luc Savard

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

VenueJournal of African Development · 2009
Typearticle
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsComputable general equilibriumEconomicsPovertyDistribution (mathematics)Government (linguistics)Income distributionConsumption (sociology)Transfer paymentDevelopment economicsPublic economicsMacroeconomicsAgricultural economicsNatural resource economicsEconomic growthInequalityWelfareMarket economy

Abstract

fetched live from OpenAlex

Abstract This paper focuses on the distribution impact from Senegal's water reforms with emphasis on rates reforms. We first analyze the evolution of consumption patterns before and after the reforms. We found that most of the gains accrue to the highest income classes while the poor have seen little changes. We then use a multi-household integrated Computable General Equilibrium model (CGE) to analyze the impact of water pricing reforms on poverty in Senegal. We conclude that the simulated price increases for the sector have marginal effects on government finances but positive effects on most actors except households unless specific transfer programs are introduced to protect the poor.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.951
Threshold uncertainty score0.246

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)0.0000.000

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 head0.005
GPT teacher head0.203
Teacher spread0.197 · 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