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Record W309657496

Estimating the Value of Forestry Eco-tourism Products by Contingent Valuation Method ESTIMATION DE VALEUR DES PRODUITS ÉCO-TOURISTIQUES SYLVICOLS PAR LA MÉTHODE D'EVALUATION CONTINGENTE

2007· article· fr· W309657496 on OpenAlexvenueno aff
Chen Hong, Guo-yong Ma

Bibliographic record

VenueCanadian social science · 2007
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsnot available
Fundersnot available
KeywordsContingent valuationForestryTourismValue (mathematics)Willingness to payWelfare economicsEconomicsGeographyPolitical scienceMathematicsMicroeconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

Abstract: CVM is a popular method of value evaluation in the world now, which functions on the public goods with non-use value such as environmental products etc. This paper aims to research the availability of CVM in Chinese forestry eco-tourism products value evaluation. We start from the advantages and limitation of CVM, hypothize the survey of WTP(willing to pay)in Yi Chun forestry eco-tourism area, which is performed in Harbin., and design the survey method, content and proceeding of questionnaire and the attentive problems when applying. After exploring the limitation of estimating Chinese forestry eco-tourism products in practice by CVM, we draw the conclusion that CVM can be widely spread in Chinese forestry eco-tourism products value evaluation. Key words: CVM, Consumer surplus, Forestry eco-tourism products value, WTP Resume: La MEC est une methode populaire d'evaluation de la valeur dans le monde d'aujourd'hui, qui s'applique aux biens publiques a valeur de non-usage tels que les produits environnementaux, etc. L'article present vise a etudier la faisabilite de la MEC dans l'evaluation de valeur des produits eco-touristiqes sylvicols de Chine. Commencant par les avantages et les limites de la MEC, nons supposont l'enquete de WTP(willing to pay) dans la zone eco-touristique forestiere Yi Chun accomplie au Harbin, elaborent la methode d'enquete, les questions du questionnaire et la procedure, et prevoyont les problemes potentiels dans l'application. Apres l'etude des restrictions de l'evaluation des produits eco-touristiques sylvicols chinois par la MEC, nous arrivons a la conclusion que la MEC peut etre largement appliquee dans l'evaluation de valeur des produits eco-touristiques sylvicols en Chine. Mots-Cles: MEC, surplus de consommation, valeur des produits eco-touristiques sylvicols, WTP (ProQuest-CSA LLC: ... denotes formula omitted.) 1. THEORETICAL BASIS OF FORESTRY ECO-TOURISM PRODUCTS VALUE EVALUATION 1.1 Theoretical analysis of forestry eco-tourism products value evaluation The forestry eco-tourism products value evaluation bases on the welfare economics and environmental economics, which also consider the utility theory and consumer surplus theory as direct theoretical basis. Welfare economist conveyed that WTP was a complete description of the value of some products, namely it is the amount of monetary which people are willing to pay for a product, an opportunity , or amenity. According to the utility theory, the value of forestry eco-tourism products is decided by its marginal utility, formula as follow: forestry eco-tourism products value = marginal utility- actual price According to the consumer surplus theory, the economic value of forestry eco-tourism products can be expressed by the consumer surplus, formula as follow: consumer surplus = consumer's WTP- consumer's actual payment Therefore, the key of forestry eco-tourism products value evaluation is to decide the relation of consumers' WTP, utility function of forestry eco-tourism products and actual payment. 1.2 Distinction analysis of forestry eco-tourism products value Forestry eco-tourism products distinguish from the other tourism products. They differ in aim, beneficiary, management and effect. Forestry eco-tourism pays more attention to ecological protection, not to max profit. And beneficiaries include not only tourists and managers, but also local residents and economy and future residents and economy. The core of it is environmental protection, which results in satisfying tourists' demand with choices. Another, instead of destroying the environment in traditional tourism, forestry eco-tourism associates improving the ecology with developing forestry eco-tourism. As a result, it owns both use value and non-use value. Use value, called economic value, is a part which people pay to enjoy forestry eco-tourism products such as going into the nature, exploring, entertaining and so on. …

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)0.003
metaresearch head score (Gemma)0.010
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: none
Teacher disagreement score0.994
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.080
GPT teacher head0.299
Teacher spread0.218 · 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".

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Citations0
Published2007
Admission routes1
Has abstractyes

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