# RECORD d2bd48101813a415410f72a9cc4ee814b25eca80
# TITLE: Setting priorities for greening cities with monetary accounting values for amenity services of urban green
# YEAR: 2022.0  VENUE: One Ecosystem  DOI: 10.3897/oneeco.7.e89705
# AUTHORS: Beyhan Ekinci; K. Grunewald; Sophie Meier; Steffen Schwarz; Burkhard Schweppe-Kraft; R. Syrbe
# PAGES: 18  CANDIDATE TABLE PAGES (1-based): []
# ABSTRACT: Life Satisfaction Analyses in Germany reveal a significant positive correlation between the amount of green space within 1 km of residence and well-being. The comparison of the effects of green space and income on well-being allows the derivation of a monetary demand function for green spaces close to the place of home. This demand function was used together with land-use and population data to estimate the monetary value of green space close to home for every 2 km × 2 km grid cell in Germany.
 The results can be used in environmental economic accounting as a proxy for the (visual) amenity services of green spaces close to residences and provide urban planners with additional information on the strength and spatial distribution of demand for green spaces in residential areas.
 The study shows that, especially in densely populated areas where more than 30 per cent of the German population lives, the (simulated) exchange value of green spaces (price per additional hectare derived from the demand function) multiplied by the number of households that would pay this price, is higher than the price per ha that can be achieved on the real estate market.
 A comparison with the results of a Hedonic Price Analysis that estimates the effect of urban green space on property prices finds that the values of urban green spaces calculated with this method were 38 to 124 times smaller than the values calculated with the Life Satisfaction Analysis and far below building land prices. The reason for the relatively low impact of urban green on property prices can be explained by market imperfections in the housing market.


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One Ecosystem 7: e89705
doi: 10.3897/oneeco.7.e89705
Research Article 
Setting priorities for greening cities with
monetary accounting values for amenity services
of urban green
Beyhan Ekinci , Karsten Grunewald , Sophie Meier , Steffen Schwarz , Burkhard Schweppe-Kraft , 
Ralf-Uwe Syrbe
‡ Federal Agency for Nature Conservation, Bonn, Germany
§ Leibniz Institute of Ecological Urban and Regional Development, Dresden, Germany
| Federal Agency for Nature Conservation (retired), Bonn, Germany
Corresponding author: Burkhard Schweppe-Kraft (burkhard.schweppe-kraft@web.de)
Academic editor: Bram Edens
Received: 30 Jun 2022 | Accepted: 24 Oct 2022 | Published: 07 Dec 2022
Citation: Ekinci B, Grunewald K, Meier S, Schwarz S, Schweppe-Kraft B, Syrbe R-U (2022) Setting priorities for
greening cities with monetary accounting values for amenity services of urban green. One Ecosystem 7:
e89705. https://doi.org/10.3897/oneeco.7.e89705
Abstract
Life Satisfaction Analyses in Germany reveal a significant positive correlation between the
amount of green space within 1 km of residence and well-being. The comparison of the
effects of green space and income on well-being allows the derivation of a monetary
demand function for green spaces close to the place of home. This demand function was
used together with land-use and population data to estimate the monetary value of green
space close to home for every 2 km × 2 km grid cell in Germany.
The results can be used in environmental economic accounting as a proxy for the (visual)
amenity services of green spaces close to residences and provide urban planners with
additional information on the strength and spatial distribution of demand for green spaces
in residential areas.
The study shows that, especially in densely populated areas where more than 30 per cent
of the German population lives, the (simulated) exchange value of green spaces (price per
additional  hectare  derived  from  the  demand  function)  multiplied  by  the  number  of
‡
§
§
§
|
§
© Ekinci B et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY
4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are
credited.