Is there an economic case for energy-efficient dwellings in the UK private rental market?

Fuerst, Franz; Haddad, Michel Ferreira Cardia; Adan, Hassan

doi:10.1016/j.jclepro.2019.118642

Cited by 35 publications

(21 citation statements)

References 36 publications

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“…The majority of scholars used hedonic models to discover that buildings with Energy Performance Certificates, eco-labelling or energy efficiency ratings would have a rental price premium (Fuerst et al, 2015;Fuerst & McAllister, 2011b, 2011aFuerst & Warren-Myers, 2018). Other methods were also chosen to study this topic, such as the Heckman selection technique (Hyland et al, 2013), the difference-in-differences estimation, the fixed-effects model approach (Reichardt et al, 2012), and the time-on-market model (Fuerst et al, 2020), etc.…”

Section: Comparison Of Research Topicsmentioning

confidence: 99%

Real estate rental market: a 10-year bibliometric-based review

Liu

Peilong²,

et al. 2020

Economic Research-Ekonomska Istraživanja

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Section: Comparison Of Research Topicsmentioning

confidence: 99%

Real estate rental market: a 10-year bibliometric-based review

Liu

Peilong²,

et al. 2020

Economic Research-Ekonomska Istraživanja

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“…The empirical analysis of Fuerst, et al. [1] on the economic case for energy-efficient dwellings in the UK private rented sector (PRS) is based on this dataset. Rental data which were obtained from HomeCo Internet Property Ltd for analysing the effects of energy efficiency on PRS properties in that article are proprietary and, therefore, not considered here.…”

Section: Data Descriptionmentioning

confidence: 99%

“…The empirical analysis of the economic case for energy-efficient dwellings in the UK private rental market performed in Fuerst, et al. [1] is based on this dataset.…”

mentioning

confidence: 99%

Real estate data to analyse the relationship between property prices, sustainability levels and socio-economic indicators

Fuerst

Haddad

2020

Data in Brief

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Recent studies have sought to explore the relationship between environmental and financial performance, in particular the relationship between the energy efficiency level of a building and its financial value. The present real estate dataset contains 43 variables of repeat sales transactions, energy performance certificate (EPC) rating, index of multiple deprivation (IMD), and geographical location of properties in England and Wales involved in a total of 4,201 transactions from 1995 to 2012. This dataset enables researchers and practitioners to further explore important questions regarding the nexus between the real estate industry, sustainability levels, and socio-economic aspects. Due to the scarcity of publicly available quality real estate data, the dataset detailed in this article may play a relevant role by becoming easily discoverable, clearly explained, and structured to be ready to be used by researchers, analysts, and policymakers. The empirical analysis of the economic case for energy-efficient dwellings in the UK private rental market performed in Fuerst, et al. [1] is based on this dataset.

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“…Recent studies about the real-estate market still use hedonic models, either alone or combined with spatial hedonic models, or with other novel techniques for different purposes. In England, hedonic models have been used to analyze the effect of housing unit's physical characteristics, energy performance certificates and neighborhood characteristics on house prices and the rental market [18]. In Istanbul, the spatial correlation problems that appeared in standard hedonic regression were reduced when controlling for factors of spatial dependence and district-level data, such as area, the total number of floors, construction process, share social services and high-rise residential complexes [19].…”

Section: Introductionmentioning

confidence: 99%

“…Nonetheless, home purchase-sale prices have been used in all models [2,5,12,14], and the few exceptions are home listing prices [20,24] when purchase-sale prices are not available, rent values [18,25] and cadastral values [26]. Listing data are readily available from platforms, but some data might not be very useful for predicting market values because they can be upwardly biased and wide variations may appear [20].…”

Section: Introductionmentioning

confidence: 99%

Influence of the Cadastral Value of the Urban Land and Neighborhood Characteristics on the Mean House Mortgage Appraisal

Olmeda

López

Iftimi

et al. 2021

Land

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As house mortgage appraisal values have played a leading role in the 2007–2012 financial crisis, it is important to develop robust mass appraisal models that correctly estimate these values. The present paper intends to propose a methodology to examine the spatial distribution of house mortgage appraisal values. To do so, we analyzed the effect that these values, cadastral urban land values, characteristics of houses, and socioeconomic conditions and services in neighborhoods, have on house mortgage appraisal values in the 70 boroughs of Valencia (Spain). Econometric and spatial models were used, and variables were calculated as the mean and weighted values per boroughs. Our results showed that the hierarchy of cadastral values impacted mortgage appraisal values. Conversely, not all the boroughs-related variables influenced the mean mortgage values of houses, although some did anomalously. We conclude that the spatial error or autoregressive models provided very good fit results, which somewhat improved the ordinary least square model. Moreover, house mortgage appraisal values may be influenced by not only cadastral values but also by some district characteristics like mean family property size, vehicle age, distance from a metro station or from infant or primary education centers.

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Is there an economic case for energy-efficient dwellings in the UK private rental market?

Cited by 35 publications

References 36 publications

Real estate rental market: a 10-year bibliometric-based review

Real estate rental market: a 10-year bibliometric-based review

Real estate data to analyse the relationship between property prices, sustainability levels and socio-economic indicators

Influence of the Cadastral Value of the Urban Land and Neighborhood Characteristics on the Mean House Mortgage Appraisal

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