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Record W3124102416 · doi:10.1093/oep/gpi020

Natural-resource exploitation with costly enforcement of property rights

2005· preprint· en· W3124102416 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOxford Economic Papers · 2005
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
FundersUniversité de MontréalUniversité Laval
KeywordsEnforcementProductivityProperty rightsWageEconomicsNatural resourceResource (disambiguation)Marginal productPoint (geometry)ExploitDistribution (mathematics)NormativeMarginal costLabour economicsProduction (economics)MicroeconomicsMacroeconomics

Abstract

fetched live from OpenAlex

A model of resource exploitation when private ownership requires costly enforcement is developed. Enforcement costs are endogenized as the outcome of a game between a resource owner and illegal extractors. I find that two instruments are used to deter illegal extraction: policing efforts and purposeful “overexploitation ” of the resource. The latter works by reducing the returns from illegal activities. Hence, even with private ownership, the marginal product of a resource worker may be below his marginal product in alternative employment. Conditions are found for which at low wage rates, further wage reductions lower profits. Those conditions are necessary and sufficient for the existence of a range of low wages characterized by a free-access equilibrium. This may explain the more frequent prevalence of free access in less-developed countries. I show that higher resource prices will not lead to more free-access, but may lead to “value destruction”.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.922
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.204
Teacher spread0.186 · 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