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Record W2269919908

Public/Private Risk-Sharing in Air Service Provision

2009· article· en· W2269919908 on OpenAlexaff
David Duval, Niven Winchester

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicAviation Industry Analysis and Trends
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsSubsidyGovernment (linguistics)BusinessUnit (ring theory)Service (business)DestinationsPublic policyPublic economicsFinanceTourismEconomic growthEconomicsMarketingGeography
DOInot available

Abstract

fetched live from OpenAlex

The paper identifies and theories future trends in public/private risk-sharing agreements, as a form of public subsidy, in thin market air service provision. Using a Pacific Islands example, the paper details the economic and policy implications of such agreements. In November 2008, the Cook Islands reached a risk-sharing agreement (with a reported value of NZ\$5 million) with Air New Zealand that secured the continuation of a weekly flight from Los Angeles (LAX) to Rarotonga (RAR). By buying the option directly from the producer, the Cook Islands Government has secured access via public subsidy to ensure future visitation. Supply-side subsidisation of air service provision is not uncommon. Existing models in the United States, Europe and Australia highlight the importance of connectivity of destinations for overall economic growth. The paper makes use of policy analysis to dissect the stated value of securing air access for several Pacific Island nations, including the Cook Islands, Samoa and Tonga. The paper concludes by assessing future trends of direct government subsidisation of air services for autochthonous destinations given increasing stress on airline unit costs.

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 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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.746

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.031
GPT teacher head0.227
Teacher spread0.195 · 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 teacher head, 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

Citations1
Published2009
Admission routes1
Has abstractyes

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