Camila Fossa Balbinot’s scientific contributions

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Publications (1)

Figure 1: Relation between the distance to public parks (a and b) and public forests (c and d) and apartment/house prices in Curitiba.
Figure 2: Spatial autocorrelation of the bivariate global Moran's I between the distance to public parks (a and b) and public forests (c and d) and apartment/house prices in Curitiba.
Figure 3: Relation between the distance to the Airumã PNHR and apartment/house prices in Curitiba (a and b) and bivariate global spatial autocorrelation between Airumã and apartment/house prices in Curitiba (c and d). In the measurement of the variables in relation to the Teresa Urban Ecological Station (Figure 4) and the urban green area of Repar (Figure 5), there is a positive linear correlation and a positive bivariate global spatial dependence between the price of apartments and houses and the distance from the properties of the conservation unit. The closer a property is located to these units, the lower its price, as well as the properties located in or around its vicinity. Moran's I's bivariate global autocorrelation between real estate prices and the distances of both the Teresa Urban Ecological Station and the urban green area of Repar is positive (negative effect) and significant at 1%.
Figure 4: Relation between the distance to the Teresa Urban Ecological Station and apartment/house prices in Curitiba (a and b) and bivariate global spatial autocorrelation between the Teresa Urban Ecological Station and apartment/house prices in Curitiba (c and d).
Figure 5: Relation between the distance to the Repar green area and apartment/house prices in Curitiba (a and b) and bivariate global spatial autocorrelation between the Repar green area and apartment/house prices in Curitiba (c and d).

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Urban green areas and real estate prices in Curitiba, Brazil
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July 2020

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Revista Ibero-Americana de Ciências Ambientais

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Camila Fossa Balbinot

We attempted to identify to which extent the implicit ecosystem service values of urban green areas impact real estate values in the city of Curitiba, Brazil. The study is based on spatial econometrics techniques and hedonic price theory applied to 43 urban green areas, highlighting three units: the Airumã Private Natural Heritage Reserve, the Teresa Urban Ecological Station, and the President Getulio Vargas Refinery. Information was obtained on the structural characteristics of more than 5,300 apartments and houses. The results of exploratory spatial data analysis (ESDA) and estimates from hedonic regression model parameters show that the presence of urban green areas contribute to the final property prices. The effects of proximity to urban green areas on the price of urban residential property are not homogeneous and stationary throughout urban spaces and can generate distinct spatial clusters of real estate prices: high-high and low-low. The used methodology proved to be efficient to assess the value of urban green areas with regard to the use of information, processing, data analysis, and results generated. Furthermore, it measured the impact of these areas on property prices and provided easily interpretable data that can be relevant for payments for ecosystem services policies at the local level.

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