Zoeken
Zoeken kan via de modus 'eenvoudig zoeken' (één veld) of uitgebreid via 'geavanceerd zoeken' (meerdere velden). Zo kan je bv. zoeken op een combinatie van een auteursnaam (auteur), een jaartal (jaar) en een documenttype.
Boekenmand
Nuttige resultaten kan je aanvinken en toevoegen aan een mandje. De inhoud hiervan kan je exporteren of afdrukken (naar bv. PDF).
RSS
Op de hoogte blijven van nieuw toegevoegde publicaties binnen uw interessegebied? Dit kan door een RSS-feed (?) te maken van jouw zoekopdracht.
nieuwe zoekopdracht
Marine recreational ecosystem service value estimation: A meta-analysis with cultural considerations
Hynes, S.; Ghermandi, A.; Norton, D.; Williams, H. (2018). Marine recreational ecosystem service value estimation: A meta-analysis with cultural considerations. Ecosystem Services 31: 410-419. https://dx.doi.org/10.1016/j.ecoser.2018.02.001
In: Ecosystem Services. Elsevier: Amsterdam. ISSN 2212-0416
|  |
| Auteurs | | Top |
- Hynes, S.
- Ghermandi, A.
- Norton, D.
- Williams, H.
|
|
|
| Abstract |
Marine and coastal ecosystems provide a wide variety of recreational opportunities that are highly valued by society. For the purposes of conducting a meta-analysis we build an extensive global dataset of marine recreational ecosystem service values from the literature. Using this database we developed a number of meta-regression specifications with the objective of evaluating the study specific effects of location, ecosystem, valuation methodology and statistical estimation methods on the reported value estimates. Furthermore, the paper investigates if cultural differences between studies are an important determinant that should be considered in international (meta-analytical) value transfer. This was achieved by including a number of cultural parameters from previous societal studies and surveys into our meta-regression models. We found that accounting for differences in cultural dimensions across recreation valuation studies had a significant influence on value estimates. While a multi-level modelling approach that controls for study effects, proved to be a better fit than a standard one level specification, we found that the absolute in-sample transfer errors associated with the standard OLS model were slightly less on average based on the differences between the actual and predicted values in our meta-database. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
