Donovan Geoffrey H, Prestemon Jeffrey P, Butry David T, Kaminski Abigail R, Monleon Vicente J
USDA Forest Service, PNW Research Station, 620 SW Main, Suite 502, Portland, OR 97205, USA.
USDA Forest Service, Southern Research Station, PO Box 12254, Research Triangle Park, NC 27709, USA.
For Policy Econ. 2021 Mar;124. doi: 10.1016/j.forpol.2020.102387.
This study evaluated the hypothesis that urban-tree planting increases neighborhood gentrification in Portland, Oregon. We defined gentrification as an increase in the median sales price of single-family homes in a Census tract compared to other tracts in the city after accounting for differences in the housing stock such as house size and number of bathrooms. We used tree-planting data from the non-profit Friends of Trees, who have planted 57,985 yard and street trees in Portland (1990-2019). We estimated a mixed model of gentrification (30 years and 141 tracts) including random intercepts at the tract level and a first-order auto-regressive residual structure. Tract-level house prices and tree planting may be codetermined. Therefore, to address potential endogeneity of tree planting in statistical modeling, we lagged the number of trees planted by at least one year. We found that the number of trees planted in a tract was significantly associated with a higher tract-level median sales price, although it took at least six years for this relationship to emerge. Specifically, each tree was associated with a $131 (95% CI: $53-$210; p-value=0.001) increase in tract-level median sales price six years after planting. The magnitude of the association between the number of trees planted and median sales price generally increased as the time lag lengthened. After twelve years, each tree was associated with a $265 (95% CI: $151-$379; p-value<0.001) increase in tract-level median sales price. Tree planting was not merely a proxy for existing tree cover, as the percent of tract covered in tree canopy was independently associated with an increase in median sales price. Specifically, each 1-percentage point increase in tree-canopy cover was associated with a $882 (95% CI: $226-$1,538; p-value=0.008) increase in median sales price. In conclusion, tree planting is associated with neighborhood-level gentrification, although the magnitude of the association is modest.
在俄勒冈州波特兰市种植城市树木会加剧社区的高档化进程。我们将高档化定义为在考虑住房存量差异(如房屋大小和浴室数量)后,人口普查区独栋房屋的销售中值价格相较于城市中的其他区域有所上涨。我们使用了非营利组织“树木之友”的植树数据,该组织在波特兰市种植了57,985棵庭院树和街道树(1990 - 2019年)。我们估计了一个高档化的混合模型(30年和141个普查区),包括普查区层面的随机截距和一阶自回归残差结构。普查区层面的房价和植树情况可能是共同决定的。因此,为了解决统计建模中植树的潜在内生性问题,我们将种植的树木数量滞后至少一年。我们发现,一个普查区种植的树木数量与该普查区层面较高的销售中值价格显著相关,不过这种关系至少需要六年才会显现。具体而言,种植六年后,每棵树与普查区层面销售中值价格上涨131美元(95%置信区间:53美元 - 210美元;p值 = 0.001)相关。种植树木数量与销售中值价格之间的关联强度通常会随着时间滞后的延长而增加。十二年后,每棵树与普查区层面销售中值价格上涨265美元(95%置信区间:151美元 - 379美元;p值 < 0.001)相关。植树不仅仅是现有树木覆盖率的一个指标,因为树冠覆盖的普查区百分比与销售中值价格的上涨独立相关。具体而言,树冠覆盖率每增加1个百分点,与销售中值价格上涨882美元(95%置信区间:226美元 - 1,538美元;p值 = 0.008)相关。总之,植树与社区层面的高档化相关,尽管这种关联的强度不大。