Journal of Agricultural Big Data ›› 2025, Vol. 7 ›› Issue (1): 90-95.doi: 10.19788/j.issn.2096-6369.100030

Previous Articles     Next Articles

Food Waste Behavior Survey Data Set Based on Photo Coding Method

REN JianChao(), WANG QingYe, HUANG ChunYan   

  1. Business School of Yangzhou University, Yangzhou 225127, Jiangsu, China
  • Received:2024-04-15 Accepted:2024-06-03 Online:2025-03-26 Published:2025-02-05

Abstract:

Food waste has negative impacts on society and the environment, making it a global issue that cannot be ignored. Practical social activities aimed at promoting food conservation have been launched by governments and civil society organizations, and have gained a positive response from all sectors of society. This dataset documents individual dining and food waste data before and after the Clear Your Plate Campaign. The purpose is to provide data support for the study of food waste behaviors and the impact of interventions on food waste behaviors. The photo-coding method was used to collect individual characteristic data of 722 college students and 16 976 cafeteria dining punch cards through a four-week tracking survey. The data on individual characteristics included information on students' and their families' typical eating habits, healthy eating behaviors, food waste behaviors, and subjective perceptions. The dining card data covered daily lunch and dinner dining scenes, food composition, dining satisfaction, spending, and food waste. The data underwent pre-survey and manual quality checks. Standardised procedures were employed to ensure scientific validity and accuracy, including the use of unified data formats and the elimination of erroneous data. This dataset provides scholars with data to analyse the impact of interventions on food waste behaviour from a dynamic perspective, such as Clear Your Plate Campaign. It also offers basic data and experimental paradigms for studying food waste behaviour using the photo-coding method.

Data summary:

Item Description
Dataset name Food waste behavior survey data set based on photo coding method
Specific subject area Agricultural Economic Management, Food Economics and Management
Time range May 17, 2021 - June 6, 2021, June 15, 2021 - June 21, 2021
Data type and technical formats *.dta
Dataset structure This dataset consists 2 dta files, wherein personal.dta file includes 722 records, which covers individual and family characteristics, normal eating habits, healthy eating behaviors, food waste behaviors and subjective perceptions. The clock_in.dta data includes 16976 records, which covers daily lunch and dinner scenes, food composition, meal satisfaction, spending and food waste
Volume of data 913.53 kB
Key index in dataset Individual and family characteristics, normal eating habits, healthy eating behaviors, food waste behaviors and subjective perception of food waste, scene of each meal, food composition, cost, satisfaction, and amount of food waste
Data accessibility CSTR: 31253.11.sciencedb.17978
DOI: 10.57760/sciencedb.17978
Financial support The Humanities and Social Sciences Planning Fund of the Ministry of Education (No. 23YJA790031); University Philosophy and Social Science Research Foundation of Jiangsu Province(No. 2018SJA1144); Yangzhou "Lvyang Jinfeng" Outstanding Doctoral Talents Program (2019).

Key words: food waste behavior, photo coding method, clear your plate campaign, follow-up investigation, panel data