The Economic Value of Wetland Conservation and Creation: A Meta-Analysis
By Andrea Ghermandi, J.C.J.M. van den Bergh, Luke Brander, H. D. Groot, P. A. Nunes. 2008
124 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Global and Planetary Change, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/25f0e2d10e40eda3750824b19da5534c85d9725e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Hristos Doucouliagos
- Mayula Chaikumbung
- Helen Scarborough
- Andrea Ghermandi
- Luke Brander
- Maria Loureiro
- M. Barrio
- P. A. Nunes
In Global and Planetary Change
- Hristos Doucouliagos
- Mayula Chaikumbung
- Helen Scarborough
- Andrea Ghermandi
- Luke Brander
- Alfred J. Wagtendonk
- P. A. Nunes
- Maria Loureiro
In Management, Monitoring, Policy and Law
- Hristos Doucouliagos
- Mayula Chaikumbung
- Helen Scarborough
- Andrea Ghermandi
- Luke Brander
- Alfred J. Wagtendonk
- P. A. Nunes
- Maria Loureiro
Citations in the corpus
- A meta-analysis of contingent valuation forest studies (2010, background): “A wide amount of studies have been focused on valuation of wetlands (Brouwer et al., 1997; Brouwer et al., 1999; Woodward and Wui, 2001; Ghermandi et al., 2008); woodland recreation (Bateman and Jones, 2003; Zandersen and Tol, 2009); endangered species (Loomis and White, 1996) and general outdoor…”
- Using Meta-Analysis and GIS for Value Transfer and Scaling Up: Valuing Climate Change Induced Losses of European Wetlands (2012, methodology): “For a complete overview of this data set regarding sources and standardisation of values see Ghermandi et al. (2010).”
- The economic value of wetlands in developing countries: a meta-regression analysis (2016, methodology): “This result is similar to the findings of Ghermandi et al. (2008).”
- Values of natural and human‐made wetlands: A meta‐analysis (2010, methodology): “…in this study since the average and maximum number of observations per study, 2.4 and 12, respectively, are small compared to the size of the sample, a multilevel regression of an earlier version of the data set indicated the presence of significant authorship effects [ Ghermandi et al. , 2008].”