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Income Elasticity of Willingness to Pay for Better Air Quality: Effect of a Private Environmental Substitute

2024· article· en· W4391090692 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

VenueLand Economics · 2024
Typearticle
Languageen
FieldEnergy
TopicEnergy, Environment, and Transportation Policies
Canadian institutionsUniversité de Sherbrooke
FundersNational Natural Science Foundation of ChinaNational Science Foundation
KeywordsWillingness to payIncome elasticity of demandEconomicsElasticity (physics)Quality (philosophy)Agricultural economicsMicroeconomicsNatural resource economicsEnvironmental economicsEconometricsBusinessPublic economics

Abstract

fetched live from OpenAlex

We use a nested constant elasticity of substitution utility function to introduce a private environmental substitute in a theoretical model. We find that a buyer’s income elasticity of willingness to pay (WTP) increases with the price of the substitute and decreases with income. A higher price and a lower income also discourage purchase of the substitute, reducing the proportion of buyers in population. We must therefore consider both dimensions when discussing societal mean WTP. An empirical check based on a contingent valuation survey confirms our theoretical findings. Projected income-WTP curves reveal inequality further reduces the mean WTP in the presence of private environmental substitutes.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score0.397

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 head0.008
GPT teacher head0.232
Teacher spread0.223 · 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