Economic valuation of green and blue nature in cities: A meta-analysis

•A meta-analysis is conducted of stated preference studies of urban nature values.•We present global and European value transfer functions for various types of nature.•Parks are the most highly valued type of urban nature.•Aesthetics and cultural heritage are the most highly valued ecosystem service...

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Veröffentlicht in:Ecological economics 2020-03, Vol.169, p.106480, Article 106480
Hauptverfasser: Bockarjova, Marija, Botzen, Wouter J.W., Koetse, Mark J.
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Sprache:eng
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Zusammenfassung:•A meta-analysis is conducted of stated preference studies of urban nature values.•We present global and European value transfer functions for various types of nature.•Parks are the most highly valued type of urban nature.•Aesthetics and cultural heritage are the most highly valued ecosystem services.•We illustrate value assessments of nature for four interventions in European cities. There is an increased interest in applying nature for addressing various urban challenges, such as those related to air pollution, climate change, and health, but the economic value of urban nature is not always well recognized. In this study we present a meta-analysis of a rapidly expanding literature that applied stated preference valuation methods to value green and blue urban nature in a variety of contexts. We estimate value transfer functions based on 60 primary studies that elicited urban nature values from in total more than 41,000 respondents worldwide. Moreover, we obtain insights into the main determinants of values of urban nature, in terms of study and methodological characteristics, types of nature, and ecosystem services. For example, using global and European value functions, estimates of the average value of an urban park vary between 12,000USD and 33,100USD, respectively, while estimates of the average value of urban forest vary between 3,000USD and 2,250USD, respectively. We apply these value transfer functions to natural interventions in several cities in Europe, illustrating how these functions can be used for estimating the value of specific natural areas in a variety of urban settings.
ISSN:0921-8009
1873-6106
DOI:10.1016/j.ecolecon.2019.106480