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The Determinants of Outbound Tourism: A Revisit of Socioeconomic and Environmental Conditions

2022· article· en· W4213434004 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

VenueTourism Analysis · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsTourismSocioeconomic statusPanel dataUnemploymentOriginalityUrbanizationEconomic geographyEconomicsPopulationEconomic growthDemographic economicsDevelopment economicsEconomyGeographyPolitical scienceSociologyEconometrics

Abstract

fetched live from OpenAlex

This article investigates the drivers of outbound tourism. The originality of our approach is that it integrates socioenvironmental aspects in the demand for international tourism. This study provides an empirical analysis for panel data of 82 economies from 2002 to 2016. Several estimates for panel data are applied. The results are robust and consistent. Beyond the classical economic drivers of tourism, socioeconomic factors, including urbanization, unemployment, vulnerable employment, and particularly aging population, are shown to play an important role in international tourism departures and international tourism expenditure. One of the notable findings is that environmental factors, including CO 2 emissions (positive) and forest area (negative), have a significant effect on international tourism. The results also show a stronger influence of economic, social, and environmental determinants of outbound tourism in higher income economies in the period after 2008.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.303
Teacher spread0.290 · 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