Using the Contingent Grouping Method to Value Forest Attributes | Zendy

Pere Riera | Zendy; Joan Mogas | Zendy; Raúl Sánchez | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Using the Contingent Grouping Method to Value Forest Attributes

Author(s) -

Pere Riera,

Joan Mogas,

Raúl Sánchez

Publication year - 2013

Publication title -

isrn forestry

Language(s) - English

Resource type - Journals

ISSN - 2090-892X

DOI - 10.1155/2013/359584

Subject(s) - contingent valuation , afforestation , ranking (information retrieval) , valuation (finance) , welfare , value (mathematics) , preference , productivity , reforestation , choice modelling , economics , econometrics , statistics , willingness to pay , mathematics , environmental resource management , geography , computer science , forestry , microeconomics , artificial intelligence , market economy , finance , macroeconomics

This paper presents the first application of a recently proposed stated preference valuation method called contingent grouping. The method is an alternative to other choice modeling methods such as contingent choice or contingent ranking. It was applied to an afforestation program in the northeast of Spain. The attributes included (and the marginal values estimated per individual) were allowing picnicking in the new forests (€2.47), sequestering 1000 tons of CO 2 (€0.04), delaying the loss of land productivity by 100 years, due to erosion in the new forests area (€0.783), and allowing four-wheel driving (€6.5), which is perceived as a welfare loss.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research