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

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.
Original languageEnglish
Article number106480
Number of pages13
JournalEcological economics
Volume169
Early online date18 Nov 2019
DOIs
Publication statusPublished - 1 Mar 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  3. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  4. SDG 13 - Climate Action
    SDG 13 Climate Action
  5. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • ITC-CV
  • n/a OA procedure

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