Setting priorities for greening cities with monetary accounting values for amenity services of urban green

IF 1.8 Q3 ECOLOGY One Ecosystem Pub Date : 2022-12-07 DOI:10.3897/oneeco.7.e89705
Beyhan Ekinci, K. Grunewald, Sophie Meier, Steffen Schwarz, Burkhard Schweppe-Kraft, R. Syrbe
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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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以城市绿化的便利性服务的货币会计价值确定绿化城市的优先顺序
德国的生活满意度分析显示,居住1公里内的绿地数量与幸福感之间存在显著的正相关关系。通过比较绿地和收入对幸福感的影响,可以推导出离家较近的绿地的货币需求函数。该需求函数与土地使用和人口数据一起用于估计德国每2km×2km网格单元离家较近的绿地的货币价值。研究结果可用于环境经济核算,作为住宅附近绿地(视觉)舒适性服务的代理,并为城市规划者提供有关住宅区绿地需求强度和空间分布的额外信息。研究表明,特别是在人口稠密地区,那里居住着超过30%的德国人口,绿地的(模拟)交换价值(根据需求函数得出的每增加一公顷的价格)乘以将支付这一价格的家庭数量,高于房地产市场上每公顷的价格。与估计城市绿地对房地产价格影响的Hedonic价格分析结果进行比较发现,用这种方法计算的城市绿地价值比用生活满意度分析计算的价值小38至124倍,远低于建筑用地价格。城市绿化对房地产价格影响相对较低的原因可以解释为住房市场的市场缺陷。
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来源期刊
One Ecosystem
One Ecosystem Environmental Science-Nature and Landscape Conservation
CiteScore
4.60
自引率
0.00%
发文量
26
审稿时长
12 weeks
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