Skip to main navigation Skip to search Skip to main content

Valuing urban nature through life satisfaction: The consistency of GIS and survey indicators of nature

  • S. P. de Vries*
  • , G. Garcia Alvarez
  • , W. J.W. Botzen
  • , M. Bockarjova
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

This study estimates the relationships between green and blue nature and the life satisfaction (LS) of residents in the six largest cities in the Netherlands to monetize the value of urban nature. The analysis uses both survey and geographic information system (GIS) data on the availability of nature to examine the influence of this methodological choice on the valuation outcomes. The main findings are that different indicators of the availability of nature consistently reveal positive relationships with reported LS, which implies substantial marginal willingness-to-pay (MWTP) values for urban nature. Valuation results based on the survey data indicate higher MWTPs compared to GIS data on nature availability, which may be explained by the more disaggregated data from surveys on the availability and use of nature.

Original languageEnglish
Article number101406
JournalResource and Energy Economics
Volume75
DOIs
Publication statusPublished - Oct 2023

Bibliographical note

Funding Information:
This study was funded by the project NATURVATION (Grant No 730243 ) and the project NATURANCE (Grant No 101060464 ) of the Horizon 2020 Framework Programme of the European Union .

Publisher Copyright:
© 2023 The Authors

Funding

This study was funded by the project NATURVATION (Grant No 730243 ) and the project NATURANCE (Grant No 101060464 ) of the Horizon 2020 Framework Programme of the European Union .

Keywords

  • Environmental valuation
  • Life satisfaction
  • Spatial analysis
  • Urban nature

Fingerprint

Dive into the research topics of 'Valuing urban nature through life satisfaction: The consistency of GIS and survey indicators of nature'. Together they form a unique fingerprint.

Cite this