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3. Impact of energy efficiency on the residential buildings appraisalArb Govori, 2017 Abstract: Demand for integration of energy efficient feature in the buildings valuation methodologies has increased significantly in the last decades, by the residential buildings owners. However, energy efficient feature is still largely unseen on building's real estate appraisals, due to not inclusion as a relevant feature on the buildings evaluation methodologies. It is essential that professional appraisals and the relevant state authorities are confronted with a new reality in changing the perception of the value of the residential buildings and offers concrete recommendations how to integrate the energy efficiency feature at the very early stage of appraisal methodologies. The aim of this paper is to determine the contribution of residential buildings energy efficient improvements into residential buildings valuation approaches. A simple methodology, through Sales Comparison Approach (SCA), is proposed to be considered in the valuation of residential buildings, taking into consideration the integration of energy efficient improvements. The simplified SCA calculation of a case study has revealed that sale price effects from increased energy efficiency are significant and positive.
Found in: ključnih besedah
Keywords: residential buildings, energy efficiency, real estate, building valuation, sales price
Published: 12.07.2018; Views: 2504; Downloads: 157
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5. Unlocking sustainable commutingNemanja Lojanica, Sergej Gričar, Saša Obradović, Štefan Bojnec, 2023 Abstract: This paper examines normality in time series econometrics for a sustainable energy transition. By analysing data from January 1997 to December 2021, this study integrates macroeconomic, environmental, and energy data to gain insights into the potential changes in daily commuting patterns among Slovenians. Various methods, including unit root tests such as the augmented Dickey–Fuller (ADF), Kwiatkowski–Phillips–Schmidt–Shin (KPSS), and Zivot–Andrews (Z-A), as well as other tests, are employed. Additionally, the vector autoregressive (VAR) model, Granger Causality and regression analysis determine the impact. This paper contributes to uncovering valuable information within data from macrovariables using macroeconometric techniques. It also provides insights that can support evidence-based decision-making for sustainable energy transition policies in Slovenia. The results of the normality tests indicate that most macro variables are integrated; there is a need for a careful analysis of integration levels and appropriate testing methods. These findings have implications for policymakers, researchers, and practitioners in economics, the environment, and energy supply. At the same time, this research highlights that gross domestic product, unemployment, inflation, and carbon dioxide positively impact car usage among Slovenians, while gasoline prices and commuters have a negative one. While the recently investigated development of sustainable commuting does not work, the study highlights an innovation: the connection of time series econometrics, which offers a better understanding of future commuting patterns on energy consumption and their causalities.
Found in: ključnih besedah
Keywords: case study, commuting, energy-saving, VAR model
Published: 16.10.2023; Views: 511; Downloads: 17
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