| Literature DB >> 31871979 |
Belén Derqui1, Didier Grimaldi2.
Abstract
This paper presents data from a survey administered to 548 public and private school headteachers in Catalonia (Spain) in 2018 on sustainability practices and food waste management. Raw data were collected through a standardised and structured questionnaire (For more information refer to Building and managing sustainable schools: The case of food waste [1]). The variables of the dataset include items relative to the canteen management system, the school sustainability profile and perceptions on food waste generation and management. Additionally, data on the level of implementation and interest on a wide range of potential initiatives to fight against food waste are provided within this article. School-level attributes (e.g. size, infrastructure) are also included.Entities:
Keywords: Canteen management; Cohesion policy; Food waste; Sustainable schools; Waste reduction initiatives
Year: 2019 PMID: 31871979 PMCID: PMC6909035 DOI: 10.1016/j.dib.2019.104825
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Sample profile (in %).
| Canteen Business Model | Respondent Role at School | Size of Schools (Number of Primary Students) | Size of Schools (Number of Secondary students) | |||
|---|---|---|---|---|---|---|
| In situ kitchen | 48% | Top Management | 83% | Mean | 175 | 373 |
| Cooked outside | 28% | Administration | 11% | Up to 200 | 49% | 30% |
| % Own a Sustainability Certificate: | Canteen Manager | 6% | Over 400 | 13% | 38% | |
| 200–400 | 38% | 32% | ||||
Graph 1Sustainability profile by school size.
Graph 2Perceived level of engagement and responsibility for food waste reduction.
Graph 3Relationship between engagement and food waste generation.
Graph 4Relationship between Food Waste measurement and Execution of Initiatives.
Graph 5Acceptance rate of food waste reduction initiatives.
Graph 6Acceptance rate of food waste reduction initiatives by school sustainability certification.
Graph 7Correlation between food waste reduction initiatives.
Specifications Table
| Subject Area | Business, Management and Accounting: |
| Specific subject area | Strategy and Management |
| Type of data | Table and graphs |
| How data were acquired | Data were acquired from an email survey answered by 548 school headteachers in Catalonia, Spain (420 offering canteen service). The complete questionnaire can be found in the referred article, |
| Data format | Raw, calculated |
| Parameters for data collection | The data collection includes 4 mandatory parameters: school general and demographic data, canteen management data, school sustainability data and food waste data. |
| Description of Data Collection | The data were collected responding to a structured questionnaire asking headteachers to express their perception about the efforts and the initiatives realised by the school in terms of sustainability and the food waste management |
| Experimental factors | The raw data collected were organised in a spreadsheet. The information was organised by alphabetic order, using the name of the School as sorting criterion. |
| Experimental features | Raw data relative to the school profile and food waste management efforts and initiatives were used to calculate statistical indicators and visualised in different graphs. |
| Data source location | Catalonia (Spain) |
| Data accessibility | Raw data was deposited at Mendeley dataset website with the following address: |
| Related Research Article | Derqui, B.; Grimaldi, D.; Fernandez, V; Building and managing sustainable schools: The case of food waste, Journal of Cleaner Production, Volume 243, January 2020, 118533. |
These data can be used to analyse the sustainability profile of primary and secondary schools in Catalonia, Spain. The data present an overall benchmarking between different school canteen management systems. The dataset makes it possible to identify and evaluate school food waste management efforts based on the initiatives that are put forward. The data can be processed by implementing a variety of statistical techniques (i.e., descriptive statistics, multivariate regression, cluster analysis). Policy makers and other stakeholders can benefit from these data to set and assess best practices for the improvement of the sustainable performance of schools. The data can be used to calculate new indicators on the level of execution (and interest) of initiatives aiming to minimise food waste at school canteens. |