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ELECTRICITY REFORMS IN MALI: A MACRO–MICRO ANALYSIS OF THE EFFECTS ON POVERTY AND DISTRIBUTION

2009· article· en· W1604111429 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

VenueSouth African Journal of Economics · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsComputable general equilibriumDecileEconomicsPovertyElectricityInequalityDistribution (mathematics)Income distributionGeneral equilibrium theoryEconometricsMacroeconomicsDevelopment economicsEconomic growth

Abstract

fetched live from OpenAlex

Abstract This paper uses a computable general equilibrium (CGE) micro‐simulation model to explore the distributional and poverty‐related effects of price reform in the electricity sector of Mali, a poor country in West Africa. In the first part of the paper we analyse the distribution of electricity in Mali by income deciles, showing that few poor households are connected to the electricity grid. We then apply a sequential CGE micro‐simulation model to track the transmission mechanisms between increases in electricity prices and changes in poverty and inequality among different household groups. Our results show that direct price increases have a minimal effect on poverty and inequality, whereas the general equilibrium effects of such increases are quite strong and negative. The compensating policies we tested do not help those who lose from the pricing reform. In fact they amplify the negative effects.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.011
GPT teacher head0.191
Teacher spread0.180 · 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