MétaCan
Menu
Back to cohort

Competing for a duopoly: international trade and tax competition

2010· preprint· en· W3121991111 on OpenAlexvenueno aff
Ben Ferrett, Ian Wooton

Bibliographic record

VenueCanadian Journal of Economics/Revue canadienne d économique · 2010
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsDuopolyOligopolyMonopolyCompetition (biology)Economic rentEconomicsTax competitionInvestment (military)Industrial organizationSubsidyProduct marketForeign direct investmentInternational economicsMarket economyProduct differentiationMicroeconomicsBusinessCournot competitionTax reformAd valorem taxIncentiveMacroeconomics

Abstract

fetched live from OpenAlex

AbstractWe analyse the tax/subsidy competition between two potential host governments to attract the plants of firms in a duopolistic industry. While competition between identical countries for a monopolist's investment is known to result in subsidy inflation, two firms can be taxed in equilibrium with the host countries appropriating the entire social surplus generated within the industry, despite explicit non‐cooperation between governments. Trade costs mean that the firms prefer dispersed to co‐located production, creating these taxation opportunities for the host countries. We determine the country‐size asymmetry that changes the nature of the equilibrium, inducing concentration of production in the larger country.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.000

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 head0.093
GPT teacher head0.189
Teacher spread0.096 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Economics/Revue canadienne d économiqueSame topicCorporate Taxation and AvoidanceFrench-language works237,207