Green schoolyard investments influence local-level economic and equity outcomes through spatial-statistical modeling and geospatial analysis in urban contexts
Green schoolyard investments influence local-level economic and equity outcomes through spatial-statistical modeling and geospatial analysis in urban contexts
Investing in urban green schoolyards is becoming more popular around the world because they could enhance health, education, and community outcomes. There is still considerable debate regarding the impact of urban green schoolyards on economic growth, equity, and community stability, particularly when analyzed using spatial-statistical and geospatial methods. The current study focuses mostly on health or individual case results and avoids looking at broader economic and equality concerns. It also fails to effectively integrate all the methodological rigor and policy implications. Using GIS analysis and comparative spatial-statistical modeling, this study fills in the gaps by examining five essential recent studies, which included cases from the US, the Netherlands, and Australia. The study uses methods such as hedonic pricing, difference in differences, spatial econometrics, and participatory GIS to look carefully at changes in property values, equitable outcomes, and displacement risks in different metropolitan areas. Studies show that while investing in green schoolyards usually raises property values in the area (by 2, 5% in Denver and Los Angeles) and is beneficial for kids' health and development, these benefits are not equitably shared. Most of the time, wealthy neighborhoods obtain the biggest benefits. Displacement and gentrification are most likely to occur in areas with inadequate tenant protections. Examples from around the world show that policies that focus on equity, public ownership, and participatory planning are necessary to get the most out of everyone's benefits and keep people from being left out.
Mahshid Gorjian
经济学社会与环境环境管理区域规划、城乡规划市政工程
Mahshid Gorjian.Green schoolyard investments influence local-level economic and equity outcomes through spatial-statistical modeling and geospatial analysis in urban contexts[EB/OL].(2025-07-17)[2025-08-16].https://arxiv.org/abs/2507.14232.点此复制
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