Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/57183

TitleCarbon (CI) and energy intensity (EI) dataset for retail stores
Author(s)Ferreira, A.
Pinheiro, M. D.
Brito, J.
Mateus, Ricardo
Keywordsbenchmarks
carbon
Dataset
Energy
retail buildings
Sustainability
Issue dateNov-2018
PublisherElsevier
JournalData in Brief
CitationFerreira A., Pinheiro M. D., Brito J., Mateus R. Carbon (CI) and energy intensity (EI) dataset for retail stores, Data in Brief, Vol. 21, pp. 1329-1333, doi:10.1016/j.dib.2018.10.080, 2018
Abstract(s)This data article presents data collected from the 250 highest revenue retailers around the world, assessed according to publicly available data from the fiscal year 2016, in order to determine retailer?s overall carbon intensity (CI) and energy intensity (EI). Data collection included additional variables such as retailers? revenue rank, operational typology, number of stores, store sales area and number of workers. CI and EI benchmarks were calculated for food and non-food retailers, applying the statistic function first quartile (Q1) for the best practice, second (Q2) and third (Q3) quartiles for conventional practice and fourth quartile (Q4) for worst practice. Correlations were tested between the variables "EI", "CI" and "retailer revenue", applying the statistic function CORREL. Finally, a cluster analysis was performed for food and non-food retailers, to identify possible segmentation patterns between the variables ?EI?, ?CI? and ?retailer revenue?. The information provided in this data article is useful for furthering research developments on the influence of isolated variables on retail EI and CI and in assisting retailers, architects, engineers, and policy makers in establishing optimal energy performance goals for the design and operation of retail stores. For further data interpretation and discussion, see the article ?Combined carbon and energy intensity benchmarks for sustainable retail stores?[1], of the same authors.
TypeArticle
DescriptionTransparency data associated with this article can be found in the online version at: https://doi.org/10.1016/j.dib.2018.10.080
URIhttp://hdl.handle.net/1822/57183
DOI10.1016/j.dib.2018.10.080
ISSN2352-3409
Publisher versionhttps://www.sciencedirect.com/science/article/pii/S2352340918312976
Peer-Reviewedyes
AccessOpen access
Appears in Collections:C-TAC - Artigos em Revistas Internacionais

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