Consumer Food Waste Behavior among Emerging Adults: Evidence from China
Abstract
:1. Introduction
1.1. Research Background and Motives
1.2. Research Purpose
1.3. Research Scope
2. Relevant Studies
2.1. Environmental Concerns and Environmental Education
2.1.1. Environmental Concerns
2.1.2. Environmental Education
2.2. Emerging Adulthood and Food Waste Behavior
2.3. Theory of Planned Behavior (TPB)
3. Research Method and Hypothesis
3.1. Research Structure
3.2. Research Process and Method
3.3. Research Hypothesis
3.4. Definition and Measure of the Variables
4. Research Results and Discussion
4.1. Sample Selection
4.2. Descriptive Analysis of Demographic Variables
4.3. Convergent Validity and Discriminant Validity
4.4. Convergent Validity and Discriminant Validity
4.5. Structural Model Fit Text
4.6. Discussion
5. Conclusions and Suggestions
5.1. Conclusions
5.2. Research Limitations and Future Research Suggestions
- This study explored the determinants of the food waste behavior of consumers at the early stage of adulthood (college students), but did not discuss young adults from higher education institutes or other consumers. Future researchers could explore the related factors of food waste among different groups.
- This study established a research model based on the theory of planned behavior and environmental concerns. However, the explanatory power of the model is still inadequate, and there may be other unknown dimensions that are not discussed in this study. In the future, researchers can introduce different theories for research. For the follow-up study, we could thoroughly analyze the internal influence factors, such as the emotions and thoughts of early adulthood consumers, and add new dimensions based on this study, including second-order dimensions and intermediary variables, to improve the explanatory power of the model and perfect it;
- Due to the limitations of time and resources, this study only collected questionnaires from Jiangsu, China. Consumers in other regions may have different views on the subject of this study due to the differences between China’s regions. In the future, researchers could explore the situations in different regions and provide a reference for governments, schools, and related enterprises.
- Finally, we think that with direct questioning, social desirability bias may influence the answers of participants. Subsequent researchers may be able to use interviews and other methods to specifically verify the true ideas of consumers.
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Research Variable | Operability Definition | Code | Questions | Reference Scale |
---|---|---|---|---|
Environmental concerns | Environmental concerns refer to the individual’s views or concerns about environmental issues, which may affect the individual’s attitude or behavior. | EC1 | Humans are seriously abusing the environment, and the garbage problem is getting worse | [71,78] |
EC2 | For the sake of their own future, humans have to live in harmony with nature | |||
EC3 | I’m worried about the global environment condition and how it may impact my future | |||
Attitude toward behavior | The attitude towards behavior is the attitude used to measure the positive and negative results of food waste behavior; that is, the actual attitude and evaluation of the food waste behavior of emerging adulthood consumers. | ATB1 | I believe reducing food waste will have a positive effect on environment protection | [51,67,68] |
ATB2 | I think reducing food waste is helpful to improve the quality of life | |||
ATB3 | I believe it is a wise move to reduce food waste | |||
ATB4 | I’m willing to reduce the damages to the environment through my own actions | |||
Subject norm | The subject norm refers to the degree to which the significant reference objects (individuals or groups) of emerging adulthood consumers regulate them. | SN1 | For me, the opinions of families, friends, and peers on food waste are important | [51,67,68] |
SN2 | I’ll change my behavior by following the opinions on food waste of families, friends, and peers that have influence over me | |||
SN3 | For me, the opinions of mass media, government policy, online information, experts, and salesmen on food waste are important | |||
SN4 | I’ll change my behavior by following the opinions on food waste of mass media, government policy, online information, experts, and salesmen that have influence over me | |||
Perceived behavioral control | Perceived behavioral control is used to measure the degree of behavioral control of subjects’ food waste behavior in most situations; that is, the degree of behavior execution under subjective judgment. | PBC1 | Whether to waste food fully depends on me | [51,67,68] |
PBC2 | For me, I won’t leave food, even if I don’t like it | |||
PBC3 | When I’m having meals with family, friends, and peers that have influence over me, they may stop me from wasting food | |||
Behavioral intention | Behavioral intention refers to the possibility of food waste by subjects in the future. In this study, the time span of behavioral intention is one month. | BI1 | For environmental reasons, I have a strong desire to reduce food waste | [51,67,68] |
BI2 | I’ll reduce my food waste in the following month | |||
BI3 | Reducing food waste delights me | |||
BI4 | I’ll spread the word to others to reduce food waste |
Sample | Category | Number | Percentage |
---|---|---|---|
Gender | Male | 179 | 48.64% |
Female | 189 | 51.36% | |
Grade | Freshman | 43 | 11.68% |
Sophomore | 106 | 28.8% | |
Junior | 132 | 35.87% | |
Senior | 87 | 23.64% | |
Location (multiple choice) | Cafeteria | 265 | 72.01% |
Take-out | 224 | 60.87% | |
Restaurant | 58 | 15.76% | |
Is there leftover food? | Quite a lot | 66 | 17.94% |
Few | 214 | 58.15% | |
Nearly no leftovers | 88 | 23.91% | |
How do you deal with leftover food? (multiple choices) | Keep it for the next meal | 55 | 14.95% |
Discard as trash | 323 | 87.78% | |
Feed it to pets or stray animals | 41 | 11.14% | |
Others | 59 | 16.03% | |
Do you feel guilty when you throw away the food? | Yes | 258 | 70.1% |
A little guilty | 81 | 22.01% | |
Hardly minded | 14 | 3.8% | |
Did not mind at all | 15 | 4.08% |
Dimension | Question | Cronbach’s α | Correlation Coefficient with the Total Scale Score | The p-Value in t-Test on an Independent Sample |
---|---|---|---|---|
Environmental concerns (ECs) Cronbach’s α = 0.803 | EC1 | 0.747 | 0.635 | 0.000 |
EC2 | 0.724 | 0.657 | 0.000 | |
EC3 | 0.723 | 0.658 | 0.000 | |
Attitude toward behavior (ATB) Cronbach’s α = 0.940 | ATB1 | 0.936 | 0.813 | 0.000 |
ATB2 | 0.915 | 0.876 | 0.000 | |
ATB3 | 0.911 | 0.895 | 0.000 | |
ATB4 | 0.924 | 0.849 | 0.000 | |
Subjective norm (SN) Cronbach’s α = 0.902 | SN1 | 0.890 | 0.736 | 0.000 |
SN2 | 0.886 | 0.756 | 0.000 | |
SN3 | 0.852 | 0.841 | 0.000 | |
SN4 | 0.867 | 0.803 | 0.000 | |
Perceived behavioral control (PBC) Cronbach’s α = 0.740 | PBC1 | 0.710 | 0.528 | 0.000 |
PBC2 | 0.569 | 0.636 | 0.001 | |
PBC3 | 0.681 | 0.545 | 0.000 | |
Behavioral intention (BI) Cronbach’s α = 0.944 | BI1 | 0.937 | 0.833 | 0.000 |
BI2 | 0.916 | 0.900 | 0.000 | |
BI3 | 0.915 | 0.902 | 0.000 | |
BI4 | 0.938 | 0.831 | 0.000 |
Construct | Item | Significance of Estimated Parameters | Item Reliability | Construct Reliability | Convergence Validity | ||||
---|---|---|---|---|---|---|---|---|---|
Unstd. | S.E. | Unstd./S.E. | p-Value | Std. | SMC | CR | AVE | ||
EC | EC1 | 1.000 | 0.761 | 0.579 | 0.803 | 0.576 | |||
EC2 | 1.063 | 0.088 | 12.098 | 0.000 | 0.779 | 0.607 | |||
EC3 | 1.018 | 0.083 | 12.283 | 0.000 | 0.736 | 0.542 | |||
ATB | ATB1 | 1.000 | 0.835 | 0.697 | 0.941 | 0.800 | |||
ATB2 | 1.093 | 0.048 | 22.893 | 0.000 | 0.901 | 0.812 | |||
ATB3 | 1.047 | 0.044 | 23.956 | 0.000 | 0.941 | 0.885 | |||
ATB4 | 1.083 | 0.049 | 22.224 | 0.000 | 0.898 | 0.806 | |||
SN | SN1 | 1.000 | 0.782 | 0.612 | 0.905 | 0.705 | |||
SN2 | 1.141 | 0.070 | 16.295 | 0.000 | 0.789 | 0.623 | |||
SN3 | 1.184 | 0.061 | 19.375 | 0.000 | 0.912 | 0.832 | |||
SN4 | 1.099 | 0.061 | 18.132 | 0.000 | 0.869 | 0.755 | |||
PBC | PBC1 | 1.000 | 0.479 | 0.229 | 0.720 | 0.478 | |||
PBC2 | 1.191 | 0.146 | 8.148 | 0.000 | 0.634 | 0.402 | |||
PBC3 | 1.542 | 0.246 | 6.274 | 0.000 | 0.896 | 0.803 | |||
BI | BI1 | 1.000 | 0.854 | 0.729 | 0.945 | 0.811 | |||
BI2 | 1.082 | 0.041 | 26.544 | 0.000 | 0.947 | 0.897 | |||
BI3 | 1.092 | 0.041 | 26.343 | 0.000 | 0.947 | 0.897 | |||
BI4 | 1.016 | 0.047 | 21.531 | 0.000 | 0.849 | 0.721 |
AVE | EC | ATB | SN | PBC | BI | |
---|---|---|---|---|---|---|
EC | 0.576 | 0.759 | ||||
ATB | 0.800 | 0.516 | 0.894 | |||
SN | 0.705 | 0.459 | 0.237 | 0.84 | ||
PBC | 0.478 | 0.374 | 0.193 | 0.172 | 0.691 | |
BI | 0.811 | 0.376 | 0.448 | 0.257 | 0.396 | 0.901 |
Model Fit | Criteria | Model Fit of the Research |
---|---|---|
MLχ2 | The small the better | 401.140 |
DF | The large the better | 128.000 |
Normed Chi-sqr (χ2/DF) | 1 < χ2/DF < 3 | 3.134 |
RMSEA | <0.08 | 0.076 |
SRMR | <0.08 | 0.086 |
TLI (NNFI) | >0.9 | 0.934 |
CFI | >0.9 | 0.944 |
GFI | >0.9 | 0.921 |
AGFI | >0.9 | 0.905 |
DV | IV | Unstd. | S.E. | Unstd./S.E. | p-Value | Std. | R2 | Hypothesis | Text Results |
---|---|---|---|---|---|---|---|---|---|
ATB | EC | 0.581 | 0.070 | 8.313 | 0.000 | 0.516 | 0.266 | H4 | Yes |
SN | EC | 0.522 | 0.072 | 7.213 | 0.000 | 0.459 | 0.211 | H6 | Yes |
PBC | EC | 0.335 | 0.064 | 5.256 | 0.000 | 0.374 | 0.140 | H7 | Yes |
BI | EC | 0.043 | 0.079 | 0.542 | 0.588 | 0.038 | 0.314 | H5 | No |
ATB | 0.347 | 0.063 | 5.520 | 0.000 | 0.346 | H1 | Yes | ||
SN | 0.106 | 0.057 | 1.865 | 0.062 | 0.107 | H2 | No | ||
PBC | 0.375 | 0.108 | 3.462 | 0.001 | 0.297 | H3 | Yes |
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Share and Cite
Tsai, W.-C.; Chen, X.; Yang, C. Consumer Food Waste Behavior among Emerging Adults: Evidence from China. Foods 2020, 9, 961. https://doi.org/10.3390/foods9070961
Tsai W-C, Chen X, Yang C. Consumer Food Waste Behavior among Emerging Adults: Evidence from China. Foods. 2020; 9(7):961. https://doi.org/10.3390/foods9070961
Chicago/Turabian StyleTsai, Wang-Chin, Xuqi Chen, and Chun Yang. 2020. "Consumer Food Waste Behavior among Emerging Adults: Evidence from China" Foods 9, no. 7: 961. https://doi.org/10.3390/foods9070961