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Record W3014393905 · doi:10.1177/2631684620910520

Political Economy of ASEAN Open Skies Policy: Business Preferences, Competition and Commitment to Economic Integration

2020· article· en· W3014393905 on OpenAlexaff
Prayoga Permana, Herman Hoen, Ronald Holzhacker

Bibliographic record

VenueJournal of Asian Economic Integration · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsRatificationCompetition (biology)Open skiesIndonesianPoliticsGovernment (linguistics)State (computer science)BusinessInternational tradeEconomicsPolitical scienceAir transport

Abstract

fetched live from OpenAlex

Despite significant growth of the domestic airline industry, Indonesia was hesitant to ratify the ASEAN Open Skies Policy (OSP) until 2016. One of the recent findings exposed the increasing concern over foreign–domestic airline competition with too little attention in exploring airline aspirations and the potential interplay between the airline preferences and the state interest. This study empirically investigates the dynamics of domestic resistance to the implementation of OSP, and to what extent the interplay of Indonesian airlines’ business preferences, ASEAN contexts and state interests have contributed to the OSP ratification postponement. Taking some lessons from the OSP ratification, we argue that the efforts towards advancing ASEAN economic integration through the open skies are contested domestically when business preferences showed mixed reactions. There has been little agreement on how the OSP could benefit the domestic airlines following their own business strategy. In the meantime, state principles indicated certain priorities for domestic interests, while ASEAN contexts allowed a member state to practice a negotiated move. The study was conducted using a qualitative method, with semi-structured interviews involving three Indonesian airlines (state and privately owned, full service and budget airlines), government officials, a civil society element and the Indonesian national air carriers association. JEL Classification: F0, F5

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.032
GPT teacher head0.321
Teacher spread0.289 · 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 designObservational
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

Citations11
Published2020
Admission routes1
Has abstractyes

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