Description
The table present retrieved data of the highest revenue retailers for the research paper entitled "Water Intensity benchmarks for sustainable retail stores", according to the variables: "Water Intensity (WI)", “Company”, “Country of origin”, ”Dominant operational category”, ”Store typology”, ”Number of countries of operation”, “Retail revenue”, “Number of stores”, ”Average store sales area”, ”Total store sales area”, “Water intensity”, ”Average number of workers per store”, “Total number of workers” and “Revenue per store sales area”. Based on this data, a WI benchmark was performed, identifying average, minimum and maximum values for each food and non-food retail sub-type, and outliers were identified with the interquartile range and removed so as to reduce error in each category. A linear regression analysis was also performed in retail sub-types that had data from three or more retailers, in order to estimate the relationship between WI as a dependent variable and other independent variables. R-squared values (R²) were calculated for each independent variable, those scoring higher than 0.7 were considered to have a strong effect size on the prediction of WI.
Citations (1)
- https://doi.org/10.3390/su142315577OpenAlex
Cited on 23 November 2022
Weight: 1.36
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Publication Details
Subfield
Marketing
Field
Business, Management and Accounting
Domain
Social Sciences
Confidence Score
47%
Source
Scholar Data Model