2017
DOI: 10.1016/j.apenergy.2017.08.047
|View full text |Cite
|
Sign up to set email alerts
|

Energy efficiency in U.S. residential rental housing: Adoption rates and impact on rent

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
19
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 38 publications
(19 citation statements)
references
References 30 publications
0
19
0
Order By: Relevance
“…But the built environment emits GHGs through energy use [13.2], consumes large volumes of water [6.4] and generates waste [12.4] (Zheng et al 2012). For example, out of 159,000 rental properties in 10 U.S. cities just 5.3% to 21.6% had energy efficiency features, though these drive up the rent by 6% to 14% (Im et al 2017).…”
Section: Synthesising Interactions Between Economic Activities and Sdmentioning
confidence: 99%
“…But the built environment emits GHGs through energy use [13.2], consumes large volumes of water [6.4] and generates waste [12.4] (Zheng et al 2012). For example, out of 159,000 rental properties in 10 U.S. cities just 5.3% to 21.6% had energy efficiency features, though these drive up the rent by 6% to 14% (Im et al 2017).…”
Section: Synthesising Interactions Between Economic Activities and Sdmentioning
confidence: 99%
“…After reading the documents, it was found that in each study one or more registries existed to determine the price premium (a register corresponds to a specification of a regression model). The existence of more than one registry depended on the following: (1) The price premium was analyzed based on the commercialization generating one model for sales and another for rental (for example, [25][26][27]); (2) the price premium of data sets from distinct years was analyzed, thereby generating a registry for each year [28][29][30][31]; (3) the models examined the price premium in distinct cities [26,32,33]; (4) the price premium of the housing was analyzed based on construction type (single or multi-family) [34][35][36]; (5) within the study, distinct types of EPC were analyzed [32,37,38]; (6) different qualification groups were analyzed [31,39]; and (7) the price premium was analyzed by comparing whether or not it had certification [40][41][42][43][44], and furthermore, the premium generated upon changing from one value to another within the EPC value scale was analyzed [25,36,45].…”
Section: Selection Criteriamentioning
confidence: 99%
“…The issue of using energy-efficient measures in residential buildings in the United States and determining their impact on the cost of housing is presented in Im J., Seo Y., Cetin K.S., Singh J. (2017) [1]. The economic efficiency of investment in energy efficiency in the affordable housing market in the Netherlands is determined by Chegut A., Eichholtz P., Holtermans R. (2016) [2].…”
Section: An Overview Of Recent Research Sources and Publicationsmentioning
confidence: 99%