Downloads provided by UsageCounts
handle: 10138/223790
AbstractAs the importance of urban green spaces is increasingly recognised, so does the need for their systematic placement in a broader array of socioeconomic objectives. From an urban planning and economics perspective, this represents a spatial task: if more land is allocated to various types of green, how do the economic effects propagate throughout urban space? This paper focuses on the spatial marginal effects of forests, parks, and fields and estimates spatial hedonic models on a sample of apartment transactions in Helsinki, Finland. The results indicate that the capitalization of urban green in apartment prices depends on the type of green, but also interacts with distance to the city centre. Additionally, the effects contain variable pure and spatial spillover impacts, also conditional on type and location, the separation of which highlights aspects not commonly accounted for. The planning of green infrastructure will therefore benefit from parameterizing interventions according to location, green type, and character of spatial impacts.
Economics and Econometrics, Economics, Green infrastructure, Spatial effects, Green Infrastructure, housing prices, Environmental sciences, green infrastructure, Environmental Science(all), land use options, Housing prices, spatial effects, Land use options
Economics and Econometrics, Economics, Green infrastructure, Spatial effects, Green Infrastructure, housing prices, Environmental sciences, green infrastructure, Environmental Science(all), land use options, Housing prices, spatial effects, Land use options
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 79 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 5 | |
| downloads | 11 |

Views provided by UsageCounts
Downloads provided by UsageCounts