Related Experiment Video
Updated: Dec 25, 2025

A Standardized Protocol for Preference Testing to Assess Fish Welfare
Published on: February 22, 2020
Individual Preference Framework or Group Preference Framework? Which Will Regulate the Impact Path of Product
Feiyu Chen1, Fang Wang1, Jing Hou2
1School of Management, China University of Mining and Technology, No.1 Daxue Road, Xuzhou 221116, China.
Abstract:
To effectively deal with the waste management problems faced by cities, it is of great significance to promote the sorting and recycling of municipal solid waste. Given the correlation between individual behavior and psychological preferences and external situations, this study explored the mechanism of individual preference framework and group preference framework in the impact path of product facilities on residents' waste-sorting behavior. Based on a questionnaire survey (N = 1505), combined with correlation analysis, difference analysis, hierarchical regression analysis, sensitivity analysis, and other methods, the study found that differences in residents' age, education background, and monthly income lead to differences in residents' sorting behaviors, and individuals of young age and low monthly income have higher sorting behaviors than others. Interestingly, highly educated individuals did not show high sorting behavior. Both individual preference and group preference frameworks play a regulating role in the influence path of product facilities on waste-sorting behavior, but a group preference framework (including family preference, organizational preference and social preference) plays the more significant regulating role. Additionally, social preference variables are the most prominent regulatory factors and have a greater "amplifier" effect in the impact of product facilities on waste-sorting behavior. Based on these findings, this study identifies the corresponding policy implications.
Related Concept Videos
Framing Effects
Stereotype Content Model
Impact of Groups on Individuals
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
In- and Out-Groups
Naturalistic Observations

