1# RECORD d2bd48101813a415410f72a9cc4ee814b25eca802# TITLE: Setting priorities for greening cities with monetary accounting values for amenity services of urban green3# YEAR: 2022.0 VENUE: One Ecosystem DOI: 10.3897/oneeco.7.e897054# AUTHORS: Beyhan Ekinci; K. Grunewald; Sophie Meier; Steffen Schwarz; Burkhard Schweppe-Kraft; R. Syrbe5# PAGES: 18 CANDIDATE TABLE PAGES (1-based): []6# 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.7 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.8 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.9 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.101112===== PAGE 1 (score 4, numeric-paren 0, table-words 0, var-words 4) =====1314One Ecosystem 7: e8970515doi: 10.3897/oneeco.7.e8970516Research Article 17Setting priorities for greening cities with18monetary accounting values for amenity services19of urban green20Beyhan Ekinci , Karsten Grunewald , Sophie Meier , Steffen Schwarz , Burkhard Schweppe-Kraft , 21Ralf-Uwe Syrbe22‡ Federal Agency for Nature Conservation, Bonn, Germany23§ Leibniz Institute of Ecological Urban and Regional Development, Dresden, Germany24| Federal Agency for Nature Conservation (retired), Bonn, Germany25Corresponding author: Burkhard Schweppe-Kraft (burkhard.schweppe-kraft@web.de)26Academic editor: Bram Edens27Received: 30 Jun 2022 | Accepted: 24 Oct 2022 | Published: 07 Dec 202228Citation: Ekinci B, Grunewald K, Meier S, Schwarz S, Schweppe-Kraft B, Syrbe R-U (2022) Setting priorities for29greening cities with monetary accounting values for amenity services of urban green. One Ecosystem 7:30e89705. https://doi.org/10.3897/oneeco.7.e8970531Abstract32Life Satisfaction Analyses in Germany reveal a significant positive correlation between the33amount of green space within 1 km of residence and well-being. The comparison of the34effects of green space and income on well-being allows the derivation of a monetary35demand function for green spaces close to the place of home. This demand function was36used together with land-use and population data to estimate the monetary value of green37space close to home for every 2 km × 2 km grid cell in Germany.38The results can be used in environmental economic accounting as a proxy for the (visual)39amenity services of green spaces close to residences and provide urban planners with40additional information on the strength and spatial distribution of demand for green spaces41in residential areas.42The study shows that, especially in densely populated areas where more than 30 per cent43of the German population lives, the (simulated) exchange value of green spaces (price per44additional hectare derived from the demand function) multiplied by the number of45‡46§47§48§49|50§51© Ekinci B et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY524.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are53credited.54