Published December 1, 2022 | Version v1
Dataset Open

Dataset and R script for the analysis in the article "Food waste between environmental education, peers, and family influence. Insights from primary school students in Northern Italy", Journal of Cleaner Production

  • 1. Social, Economic & Geographical Sciences, The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH, Scotland, United Kingdom
  • 2. Department of Economics, Ca' Foscari University of Venice, Fondamenta San Giobbe 873, 30121 Venezia, Italy
  • 3. Department of Statistics "Paolo Fortunati", Alma Mater Studiorum University of Bologna, Via Belle Arti 41, 40126 Bologna, Italy
  • 4. Department of Agricultural and Food Sciences, Alma Mater Studiorum University of Bologna, Viale Giuseppe Fanin 50, 40127 Bologna, Italy

Description

We hereby publish the dataset (with metadata) and the R script (R Core team, 2018) used for implementing the analysis presented in the paper "Food waste between environmental education, peers, and family influence. Insights from primary school students in Northern Italy", Journal of Cleaner Production (Piras et al., 2023). The dataset is provided in csv format with semicolons as separators and "NA" for missing data. The dataset includes all the variables used in at least one of the models presented in the paper, either in the main text or in the Supplementary Material. Other variables gathered by means of the questionnaires included as Supplementary Material of the paper have been removed. The dataset includes inputted values for missing data on independent variables. These were inputted using two approaches: last observation carried forward (LOCF) - preferred when possible - and last observation carried backward (LOCB). The metadata are presented as a PDF file.

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Dataset_final.csv

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Additional details

Related works

Is cited by
Journal article: 10.1016/j.jclepro.2022.135461 (DOI)

Funding

European Commission
LOWINFOOD - Multi-actor design of low-waste food value chains through the demonstration of innovative solutions to reduce food loss and waste 101000439

References

  • R Core Team (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
  • Piras, S., Righi, S., Banchelli, F., Giordano, C., Setti, M. (2023). Food waste between environmental education, peers, and family influence. Insights from primary school students in Northern Italy, Journal of Cleaner Production, doi: https://doi.org/10.1016/j.jclepro.2022.135461