A Spatial Autocorrelation Approach for Examining the Effects of Urban Greenspace on Residential Property Values

被引:188
作者
Conway, Delores [2 ]
Li, Christina Q. [1 ]
Wolch, Jennifer [1 ]
Kahle, Christopher [1 ]
Jerrett, Michael [3 ]
机构
[1] Univ So Calif, Dept Geog, Coll Letters Arts & Sci, Los Angeles, CA 90089 USA
[2] Univ So Calif, Marshall Sch Business, Los Angeles, CA 90089 USA
[3] Univ Calif Berkeley, Sch Publ Hlth, Berkeley, CA 94720 USA
关键词
Housing value; Urban greenspace; Hedonic pricing model; Spatial dependence; OPEN-SPACE; LAND-USE; AIR-QUALITY; IMPACT; PRICES; SPECIFICATION; AMENITIES; TREES; EXTERNALITIES; DYNAMICS;
D O I
10.1007/s11146-008-9159-6
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper presents spatially explicit analyses of the greenspace contribution to residential property values in a hedonic model. The paper utilizes data from the housing market near downtown Los Angeles. We first used a standard hedonic model to estimate greenspace effects. Because the residuals were spatially autocorrelated, we implemented a spatial lag model as indicated by specification tests. Our results show that neighborhood greenspace at the immediate vicinity of houses has a significant impact on house prices even after controlling for spatial autocorrelation. The different estimation results from non-spatial and spatial models provide useful bounds for the greenspace effect. Greening of inner city areas may provide a valuable policy instrument for elevating depressed housing markets in those areas.
引用
收藏
页码:150 / 169
页数:20
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