Planning for green infrastructure: The spatial effects of parks, forests, and fields on Helsinki's apartment prices

Votsis, Athanasios

doi:10.1016/j.ecolecon.2016.09.029

Cited by 78 publications

(40 citation statements)

References 36 publications

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“…Results from European studies are generally in line with the US literature. Examples include empirical research from Austria (Herath, Choumert, & Maier, 2015), Finland (Tyrväinen & Miettinen, 2000;Votsis, 2017), Germany (Ahlfeldt & Maennig, 2013;Kolbe & Wüstemann, 2014), Israel (Cohen, 2016), Poland (Czembrowski & Kronenberg, 2016;Trojanek, Głuszak, & Tanaś, 2018) and Portugal (Franco & Macdonald, 2016). This overwhelming consistent picture is confirmed in empirical studies in major metropolitan areas in Asia.…”

Section: Externalities and Real Estate Valuementioning

confidence: 89%

Externalities and House Prices: A Stated Preferences Approach

Głuszak¹

2018

EBER

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Section: Externalities and Real Estate Valuementioning

confidence: 89%

Externalities and House Prices: A Stated Preferences Approach

Głuszak¹

2018

EBER

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“…The economical dimensions of GI can affect business productivity, the GDP, employment, personal income, and global affordability. Additionally, GI has the ability to integrate natural resources and environmental services into national income and wealth accounts (Victora & Jackson, ; Votsis, ). The aspect of research novelty was verified by the search result in the Web of Science (eight articles) using three keywords, namely, infrastructure, economics, and green in the title from 1991 until recently, which were mostly related to environmental and urban space.…”

Section: Literature Reviewmentioning

confidence: 99%

Contribution of green infrastructure to the implementation of green economy in the context of sustainable development

Khoshnava

Rostami

Zin

et al. 2019

Sustainable Development

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The green term, as the concurrence of opinion between infrastructure and economy, has the ability to integrate natural resources and environmental services into the national income and wealth account. However, the mutual effects of green infrastructure (GI) and green economy (GE) are not always clear. This study aims to develop the influences of GI criteria into the implementation of GE in the context of sustainable development (SD) through using novel hybrid methods: the decisionmaking trial and evaluation laboratory (DEMATEL) method was used to examine the efficiency and interrelationship among GI criteria; the analytical network process (ANP) was used to prioritize GI criteria based on their influences on three GE indicators; and the remaining two stages applied the hybridization and integration methods, with MATLAB software, to finalize the results. Results from the hybridization method showed that the weights of the GI criteria differed based on three GE indicators.Affordability is a prime GI criteria at 61% based on the socio-economic indicator.However, this prime weight was at 43% based on the eco-environment indicator, and at 32% based on resource efficiency plus 31% based on socio-environment indicator. The final results were finalized with integration method, which demonstrated the contribution GI criteria made to GE implementation. The highest weight percentages appertained to affordability (61%) and resource efficiency (21%), while the minority weight of 18% went to the rest of the GI criteria. Primarily, the affordability and resource efficiency categories were found to empower green infrastructure for the implementation of green economy in the SD context. K E Y W O R D Saffordability, green economy, green infrastructure, resource efficiency, sustainable development

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“…Studies have either focused on one specific local context [18,19], or compared various local environments ranging over wide territorial areas to estimate the effect of the proximity to natural attractions [20][21][22], or big infrastructures such as airports [23]. More recently, the assessment of the benefits and co-benefits of environmental amenities or green infrastructures [24], or the exposure to environmental hazards [25] has received major attention.…”

Section: The Use Of Hedonic Approach For the Assessment Or Urban Qualitymentioning

confidence: 99%

Assessing the Impact of Urban Improvement on Housing Values: A Hedonic Pricing and Multi-Attribute Analysis Model for the Historic Centre of Venice

et al. 2017

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Abstract:The Hedonic Pricing Method is one of the principal assessment methods for evaluating services and resources not normally exchanged on the market. However, the method is often unable to account for the great variety of qualities in an urban context and faces scarce and heterogeneous market data. This paper presents a model for the valuation of benefits generated by environmental and urban improvement investments adopting a mixed hedonic-multi-attribute procedure for modeling a value function of urban real estate values. The peculiarity of the model is that the independent variables are aggregated indicators, which synthetize more detailed characteristics. Using the expertise of real estate agents, all relevant variables influencing real estate values were weighted and synthetized in a set of cardinal indicators. Next, market prices were used to calibrate a hedonic function that transforms the cardinal indicators into real estate values. The valuation model was integrated into a GIS for mapping the housing value, and its variation induced by urban investment. The proposed model pointed out plausible and robust results, in particular, the possibility to use any available information, such as location, position, technical and economic characteristics of buildings, and organize it in a flexible and transparent way, and to keep evident the role of each characteristic through the hierarchical structure of the model. The model was applied to the real estate market of Venice to test the effects of the MOSE project (Electromechanical Experimental Module) for the protection of Venice from high tides. The results of the application showed a relevant increase in real estate values in the center of Venice, especially related to property in ground floor units, of about 1.4 billion €.

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Planning for green infrastructure: The spatial effects of parks, forests, and fields on Helsinki's apartment prices

Cited by 78 publications

References 36 publications

Externalities and House Prices: A Stated Preferences Approach

Externalities and House Prices: A Stated Preferences Approach

Contribution of green infrastructure to the implementation of green economy in the context of sustainable development

Assessing the Impact of Urban Improvement on Housing Values: A Hedonic Pricing and Multi-Attribute Analysis Model for the Historic Centre of Venice

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