Measuring the price premium of energy efficiency: A two-step analysis in the Italian housing market

Bisello, Adriano; Antoniucci, Valentina; Marella, Giuliano

doi:10.1016/j.enbuild.2019.109670

Cited by 56 publications

(42 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

Section: From Theory To Practice: Three Assessment Exercisesmentioning

confidence: 99%

“…The following Sections 3.1-3.3 offer a major summary and answer these questions, while the full descriptions are available in dedicated research works, respectively [75][76][77]. In particular, the co-benefits "users' awareness of energy-related issues increased" and "professional skills development" rose in ranking, while skepticism arose about the possibility to promote "innovation in technology development and adoption" among the project partners.…”

Section: From Theory To Practice: Three Assessment Exercisesmentioning

confidence: 99%

See 1 more Smart Citation

Assessing Multiple Benefits of Housing Regeneration and Smart City Development: The European Project SINFONIA

Bisello

2020

Sustainability

Self Cite

View full text Add to dashboard Cite

The urban energy transition towards more sustainable energy production and consumption systems is at the top of the European Union political agenda. Several demonstration projects are dealing with the deep-energy retrofit of real-estate assets to show how technological and societal innovation can provide new investment opportunities while enhancing citizens’ quality of life by delivering multiple benefits. In this framework, the EU smart city project SINFONIA has developed and tested a new comprehensive framework to define, identify, and evaluate the main multiple benefits expected from similar initiatives. The present contribution reviews the three assessment exercises carried out in the lighthouse city of Bolzano during the project execution, consisting of an investigation of the users’ stated preferences, an evaluation of consumers‘ revealed preferences and a multicriteria analysis of homeowners’ priorities. It offers an overview of the main achievements and sheds light on further investigatory paths applicable to Positive Energy Districts assessment.

show abstract

Section: From Theory To Practice: Three Assessment Exercisesmentioning

confidence: 99%

Section: From Theory To Practice: Three Assessment Exercisesmentioning

confidence: 99%

Assessing Multiple Benefits of Housing Regeneration and Smart City Development: The European Project SINFONIA

Bisello

2020

Sustainability

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, there is a huge literature probing how "energy efficiency" is becoming a relevant characteristic contributing to the overall value of the property (in both the rental market and the sales market). For the Italian housing market, e.g., see Bisello, et al [8] and Bottero, et al [9] ].     The first operation to be performed is to integrate the dataset with the observations that are related to the four OMI zones under consideration in the analysis.…”

Section: The Empirical Analysismentioning

confidence: 99%

Measuring the Effect of Location on House Prices in Italy

Lisi

Iacobini

2020

REDR

View full text Add to dashboard Cite

The Italian housing market is characterised by both a strong heterogeneity of real estate assets and a reduced number of property sales. These features, indeed, hamper the use of the hedonic price method, namely, the method that is mostly used for assessing the house prices and for estimating the monetary value of housing characteristics. In this paper, therefore, a hedonic model with dummy variables that identify housing submarkets is used to achieve two important results: enabling greater use of multiple regression analysis in the study of the Italian real estate market, and catching, in the simplest possible manner, the effect of location on house price. Indeed, the house's location is, together with the area in square metres, the housing characteristic that most influences the house price.

show abstract

“…The present paper provides an empirical analysis of the features affecting electricity consumption in the residential sector with a focus on the urban form. We adopt traditional variables such as population density to describe cities' morphologies (Burton 2002;Del Giudice et al 2019b), and also recently added indicators related to the built environment already tested in Italy (Antoniucci and Marella 2016;Bisello et al 2020). Moreover, we test our analysis with economic variables relevant to the energy consumption, according to the existing literature on the topic (Bianco et al 2013;Giuffrida et al 2018;Bencardino and Nesticò 2019), and we add other variables helpful in defining the consumption of residential building stock.…”

Section: Introductionmentioning

confidence: 99%

Urban Density and Household-Electricity Consumption: An Analysis of the Italian Residential Building Stock

Antoniucci

Bisello

Marella

2021

Smart and Sustainable Planning for Cities and Regions

Self Cite

View full text Add to dashboard Cite

The influence of urban density on household electricity consumption is still scarcely investigated, despite the growing attention to building energy performance and the electrification of heating systems advocated at the European level. While the positive correlation between urban sprawl developments and the increasing of marginal costs of public infrastructures, services, amenities, public, and private transports are known, there has been little research on the relationship between urban form and electricity consumption in residential building stock. The present work aims to contribute to filling the gap in the existing literature, presenting the early results of ongoing research on the role of urban form in the household electricity consumption in Italy and, consequently, the related energy costs. The building typology and, in general, the structure of urban dwellings, is crucial to forecasting the electricity requirements, taking into account single housing units and their spatial composition in multi-family homes and neighborhoods. After a brief literature review on the topic, the contribution presents empirical research on the electricity consumption at the municipal level in 140 Italian cities, analyzing the diverse consumption patterns under different conditions of urban density to verify whether there exists a significant statistical correlation between them. The analysis confirms that there is a statistically negative correlation between urban density and the log of electricity consumption, even if its incidence is very limited. Further investigation may highlight whether there exists a threshold for which this relationship would be reversed, explaining the higher electricity consumption in dense metropolitan areas.

show abstract

Measuring the price premium of energy efficiency: A two-step analysis in the Italian housing market

Cited by 56 publications

References 42 publications

Assessing Multiple Benefits of Housing Regeneration and Smart City Development: The European Project SINFONIA

Assessing Multiple Benefits of Housing Regeneration and Smart City Development: The European Project SINFONIA

Measuring the Effect of Location on House Prices in Italy

Urban Density and Household-Electricity Consumption: An Analysis of the Italian Residential Building Stock

Contact Info

Product

Resources

About