EPC Green Premium in Two Different European Climate Zones: A Comparative Study between Barcelona and Turin

Dell’Anna, Federico; Bravi, Marina; Duarte, Carlos Ramiro Marmolejo; Bottero, Marta Carla; Ai, Chen

doi:10.3390/su11205605

Cited by 38 publications

(32 citation statements)

References 49 publications

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“…In general, the results of the analyses performed on the complete sample allow to argue that the effects of the EPC, as mandatory by law, are starting to impact on the real estate market prices, in line with some international studies [8][9][10][11]. More precisely, the results of the analyses on the whole sample show that, in comparison to some previous studies on the Turin's real estate market [12,13], the EPC label effect on prices is slightly increasing.…”

Section: Introductionsupporting

confidence: 70%

“…In a study by Dell'Anna et al [11], a comparison between two European cities belonging to two different climate zones, Barcelona (Spain) and Turin (Italy), is presented. Methodologically, datasets of listing prices in the residential market are analyzed with the Hedonic Price Method and Spatial Econometric Models (specifically, Spatial Autoregressive Model and Spatial Error Model), for detecting the contribution (in terms of marginal price) of green attributes, and, contextually, for controlling the spatial correlation among the prices.…”

Section: The Energy Performance Certificate Effects On Housing Pricesmentioning

confidence: 99%

“…For example, Chen and Marmolejo-Duarte highlighted that in Barcelona, an energy performance improvement from label G to label A brought in a growth of 8.6% of housing prices in 2014, and an increase of 10.6% from label G to label B in 2016 [75]. Moreover, Dell'Anna et al estimated an increase given by the EPC of 6.33% for each rating level from G to A in Turin for the 2014-2018 time period [11].…”

Section: Hedonic Regression Modelsmentioning

confidence: 99%

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EPC Labels and Building Features: Spatial Implications over Housing Prices

2021

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The influence of building or dwelling energy performance on the real estate market dynamics and pricing processes is deeply explored, due to the fact that energy efficiency improvement is one of the fundamental reasons for retrofitting the existing housing stock. Nevertheless, the joint effect produced by the building energy performance and the architectural, typological, and physical-technical attributes seems poorly studied. Thus, the aim of this work is to investigate the influence of both energy performance and diverse features on property prices, by performing spatial analyses on a sample of housing properties listed on Turin’s real estate market and on different sub-samples. In particular, Exploratory Spatial Data Analyses (ESDA) statistics, standard hedonic price models (Ordinary Least Squares—OLS) and Spatial Error Models (SEM) are firstly applied on the whole data sample, and then on three different sub-samples: two territorial clusters and a sub-sample representative of the most energy inefficient buildings constructed between 1946 and 1990. Results demonstrate that Energy Performance Certificate (EPC) labels are gaining power in influencing price variations, contrary to the empirical evidence that emerged in some previous studies. Furthermore, the presence of the spatial effects reveals that the impact of energy attributes changes in different sub-markets and thus has to be spatially analysed.

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Section: Introductionsupporting

confidence: 70%

Section: The Energy Performance Certificate Effects On Housing Pricesmentioning

confidence: 99%

Section: Hedonic Regression Modelsmentioning

confidence: 99%

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EPC Labels and Building Features: Spatial Implications over Housing Prices

2021

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“…• Integration refers to the capability of DMs to integrate different techniques and evaluation methodologies. For instance, the considered dynamic models are a suitable tool to being integrated with Multicriteria Analysis (MCA) [75], as well as with the Agent-Based Models (ABM) [94] and Hedonic Price Model (HPM) [95]. Specifically, MCA can be used at two different phases: (1) at the beginning, to support the problem articulation and the identification of the variables to be included in the model; (2) after the scenarios' simulation to support the evaluation of the different performances through final score calculation or ranking elaboration.…”

Section: Availabilitymentioning

confidence: 99%

Dynamic Models for Exploring the Resilience in Territorial Scenarios

et al. 2019

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The present paper focuses on the role covered by dynamic models as support for the decision-making process in the evaluation of policies and actions for increasing the resilience of cities and territories. In recent decades, urban resilience has been recognized as a dynamic and multidimensional phenomenon that characterizes urban and metropolitan area dynamics. Therefore, it may be considered a fundamental aspect of urban and territorial planning. The employment of quantitative methods, such as dynamic models, is useful for the prediction of the dynamic behavior of territories and of their resilience. The present work discusses the system dynamics model and the Lotka-Volterra cooperative systems and shows how these models can aid technicians in resilience assessment and also decision makers in the definition of policies and actions, especially if integrated in wide evaluation frameworks for urban resilience achievements. This paper aims to provide an epistemological perspective of the application of dynamic models in resilience assessment, underlying the possible contribution to this issue through the analysis of a real case study and methodological framework. The main objective of this work is to lay the basis for future compared applications of these two models to the same case study.in order to underline dynamic model (DM) features that are closely related to the decision-making process in territorial and urban planning [11]. DMs are recognized as suitable tools to evaluate policies and actions aimed at increasing urban resilience [12][13][14]. This property is related to the fact that these models are built and grounded on dimensions related to both urban systems and urban resilience. In fact, during the construction of the model, it is necessary to select and identify which aspects of a territorial system have to be included with reference to the evaluation goal, from the environmental to the economic dimension [11,12,15]. In this sense, DMs are able to reveal both the dynamic behavior of urban and territorial systems and the impacts of policies on the key variables identified.Specifically, the main aim of this work is to study the principal characteristics of the system dynamics model (SDM) and Lotka-Volterra models (LV) in order to apply both to the same case study. The final purpose of this investigation is to understand the importance of the modelling approach in the field of resilience evaluation.The paper is structured as follows: Section 2 describes the current state of the art of resilience and urban resilience; Section 3 explains the role of dynamic models-the system dynamic models (SDM) and Lotka-Volterra models (LV)-in the decision-making process and summarizes their methodological background, state of art and some illustrative examples; Section 4 explains how the SDM models and LV models could contribute to urban planning; a comparative matrix is developed to investigate the utility of the considered models in predicting support in the design of future transformation scenarios; and Section 5 incl...

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“…In fact, EPC is mandatory for new buildings or when selling or renting for the owners. But, a certain level of flexibility in reaching these goals is tolerated [10]. In this sense, the proposed methodology could define a new environmental performance metric useful for encouraging and promoting sustainability.…”

Section: Introductionmentioning

confidence: 99%

Toward Energy Savings in Campus Buildings under a Life Cycle Thinking Approach

et al. 2020

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Recent studies have identified that buildings all over the world are great contributors to energy consumption and greenhouse gas emissions. The relationship between the building industry and environmental pollution is continuously discussed. The building industry includes many phases: extraction of raw materials, manufacturing, construction, use, and demolition. Each phase consumes a large amount of energy, and subsequent emissions are released. The life cycle energy assessment (LCEA) is a simplified version of the life cycle assessment (LCA) that focuses only on the evaluation of energy inputs for different phases of the life cycle. Operational energy is the energy required for day-to-day operation processes of buildings, such as heating, cooling and ventilation systems, lighting, as well as appliances. This use phase accounts for the largest portion of energy consumption of the life cycle of conventional buildings. In addition, energy performance certification of buildings is an obligation under current European legislation, which promotes efficient energy use, so it is necessary to ensure that the energy performance of the building is upgraded to meet minimum requirements. For this purpose, this work proposes the consideration of the energy impacts and material resources used in the operation phase of a building to calculate the contribution of these energy impacts as new variables for the energy performance certification. The application of this new approach to the evaluation of university buildings has been selected as a case study. From a methodological point of view, the approach relied on the energy consumption records obtained from energy and materials audit exercises with the aid of LCA databases. Taking into practice the proposed methodology, the primary energy impact and the related emissions were assessed to simplify the decision-making process for the energy certification of buildings. From the results obtained, it was concluded that the consumption of water and other consumable items (paper) are important from energy and environmental perspectives.

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EPC Green Premium in Two Different European Climate Zones: A Comparative Study between Barcelona and Turin

Cited by 38 publications

References 49 publications

EPC Labels and Building Features: Spatial Implications over Housing Prices

EPC Labels and Building Features: Spatial Implications over Housing Prices

Dynamic Models for Exploring the Resilience in Territorial Scenarios

Toward Energy Savings in Campus Buildings under a Life Cycle Thinking Approach

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