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Record W2806466797

Using the Data Envelopment Analysis to Measure and Benchmark the Efficiency of Small-scale Tourism Farms in South Korea

2018· article· en· W2806466797 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.

venuePublished in a venue whose home country is Canada.
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

VenueJournal of rural and community development · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsData envelopment analysisTourismBenchmarkingInefficiencyProductivityWelfare economicsAgricultural scienceScale (ratio)BusinessGeographyEconomicsMathematicsStatisticsMarketingEconomic growthCartographyEnvironmental scienceMicroeconomics
DOInot available

Abstract

fetched live from OpenAlex

Although economic viability and low productivity of small-scale tourism farms have been a major concern, there is no information on the economic analysis, including efficiency, of this sector. This exploratory case study aims to demonstrate the value of Data Envelopment Analysis for assessing and benchmarking the efficiency of small-scale tourism farms. Using the case study of 196 small-scale tourism farms in South Korea, the result of analysis indicates that the technical efficiency score is equal to 39.3% and the mean output increase amounting to 60.7%. Most tourism farms (76.0%, 149) were found to be inefficient, indicating an efficiency score lower than .5. The dominant source of inefficiency was found to result from pure technical efficiency involving managerial skills while the scale efficiency of Korean tourism farms has reached a certain level. Implications for farm tourism operators and researchers and directions for future research are discussed. Keywords: tourism farms; agritourism; efficiency; data envelopment analysis (DEA) _________________________________________________ Utilisation de l'Analyse de l'Enveloppement des Donnees pour Mesurer et Etalonner l'Efficacite des Fermes Touristiques de Petite-Echelle en Coree du Sud. Resume Bien que la viabilite economique et la faible productivite des fermes touristiques de petite echelle aient ete une preoccupation majeure, il n'y a aucune information concernant les analyses economiques, incluant l'efficacite de ce secteur. Cette etude de cas exploratoire a pour but de demontrer la valeur des Analyses de l'Enveloppement des Donnees pour evaluer et etalonner l'efficacite des fermes touristiques de petite echelle. A partir de l'etude de cas de 196 fermes touristiques de petite echelle en Coree du Sud, les resultats des analyses indiquent que la note technique d'efficacite est egale a 39.3% et le montant moyen augmente jusqu'a 60.7%. La plupart des fermes (76.0%, 149) se sont revelees etre inefficaces, indiquant une note d'efficacite inferieure a .5. Il fut trouve que la principale source d'inefficacite resulte d'une efficacite technique pure impliquant des competences manageriales alors que l'echelle d'efficacite des fermes touristiques coreennes a atteint un certain niveau. Les implications pour les operateurs des fermes touristiques, les chercheurs et les directions de recherches futures sont discutees.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.085
GPT teacher head0.267
Teacher spread0.182 · 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