
Heterogeneity in household preferences for recreational use of forests may lead to spatial sorting, i.e., households choose their residential location in accordance with their preference for forest recreation. In this study, we analyze the preferences for recreational use of forests in Lorraine (Northeastern France), applying stated preference data. Our approach allows us to estimate individual-specific preferences for recreational use of different forest types. These estimates are used in a second stage of the analysis where we test whether preferences depend on access to recreation sites. A correlation between access to forests and preferences may indicate spatial sorting determined by spatial heterogeneity in the access to forest recreation. Spatial sorting has implications for the estimation procedures in valuation studies but may also have policy implications.
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, forest attributes, [SDV.SA] Life Sciences [q-bio]/Agricultural sciences, Resource /Energy Economics and Policy,, error-component model, Error-component model, spatial heterogeneity, choice experiment, 333, Cluster-effects model, Choice experiment, forest recreation;forest attributes;spatial heterogeneity;choice experiment;error-component model, Forest recreation, Forest attributesl, forest recreation, Spatial heterogeneity
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, forest attributes, [SDV.SA] Life Sciences [q-bio]/Agricultural sciences, Resource /Energy Economics and Policy,, error-component model, Error-component model, spatial heterogeneity, choice experiment, 333, Cluster-effects model, Choice experiment, forest recreation;forest attributes;spatial heterogeneity;choice experiment;error-component model, Forest recreation, Forest attributesl, forest recreation, Spatial heterogeneity
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 117 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
