The European COST Action E45 on European Forest Externalities (EUROFOREX) participants developed a set of good practice guidelines for the non-market valuation of forests, elaborating on stated and revealed preference methodologies, as well as benefit transfer and meta-analytical procedures....

The likelihood of significant heterogeneity in preferences for landscape preservation should be accounted for when designing WTP questions, estimating WTP, and formulating resulting policy recommendations. Herein, heterogeneity in preferences for landscape preservation is investigated in the...

Theoretical Background -- Developing the Questionnaire -- Experimental Design -- Collecting the Data -- Econometric Modelling: Basics -- Econometric Modelling: Extensions -- Calculating Marginal and Non-Marginal Welfare Measures -- Validity and Reliability -- Software.

This open access book offers up-to-date advice and practical guidance on how to undertake a discrete choice experiment as a tool for environmental valuation. It discusses crucial issues in designing, implementing and analysing choice experiments. Compiled by leading experts in the field, the...

The Ricardian approach has been applied to many different geographic contexts and most applications concern large countries. Only few studies deal with Europe. This paper applies the Ricardian approach to measure the impact of climate on the agricultural system of a small Italian Alpine region...

The estimates of mean WTP are typically of main interest in non-market valuation studies. In the case of mixed logit models the distribution of WTP for an attribute is derived from the distribution of the ratio of individual coefficients. Since the cost coefficient enters the denominator, its...

The total economic value (TEV) of two threatened Italian cattle breeds (Modicana and Maremmana) was investigated using a choice experiment survey. Most respondents (85%) support breed conservation, their stated willingness-to-pay easily justifying EU support. The high landscape maintenance,...