From Waste to Wealth: Factors Influencing the Adoption of Upcycled Foods in China
Abstract
1. Introduction
2. Literature Review and Hypothesis Development
2.1. Research on Upcycled Food Consumption
2.1.1. Psychological Factors and Consumer Trust
2.1.2. Consumer Innovativeness and Food Technology Neophobia (FTN)
2.1.3. Perceived Risks
2.1.4. Cultural Influences
2.2. Theoretical Background
2.2.1. Introduction to the Theory of Planned Behaviour
2.2.2. Application of TPB in Food Industry Contexts
2.2.3. TPB’s Extended Applications
2.2.4. Empirical Support and Challenges
2.3. Consumer Trust, and Attitude
2.4. Consumer Innovativeness, Attitude, and Perceived Behavioural Control
2.5. Food Technology Neophobia, Attitude and Perceived Behavioural Control
2.6. Perceived Risk, Attitude and Perceived Behavioural Control
2.7. Frugality, Attitude, Subjective Norms, and Perceived Behavioural Control
2.8. Collectivism, Attitude, Subjective Norms, and Perceived Behavioural Control
2.9. Environmental Awareness, Attitude, and Perceived Behaviour Control
2.10. Health Awareness, Attitude, and Perceived Behavioural Control
2.11. Attitude, Perceived Behavioural Control, Subjective Norms and Purchase Intention
3. Methodology
3.1. Ensuring Research Ethics in Survey Practices
3.1.1. Ethical Considerations and Participant Rights
3.1.2. Data Use and Dissemination
3.1.3. Survey Instructions and Consent
3.1.4. Withdrawal Mechanism
3.2. Questionnaire Design and Pre-Testing Study
3.3. Sample Size Calculation and Study Sample
3.4. Sampling and Data Collection
3.5. Statistical Analysis
4. Results
4.1. Measurement Model
4.2. Structural Model
4.3. Hypothesis Testing
4.3.1. Consumer Trust and Innovativeness
4.3.2. Food Technology Neophobia and Perceived Risk
4.3.3. Frugality and Collectivism
4.3.4. Health and Environmental Awareness
4.3.5. Attitude, Perceived Behavioural Control, and Subjective Norms
4.4. Structural Model Evaluation
4.4.1. Collinearity Assessment
4.4.2. Model Fit Assessment
4.4.3. Final Structural Model
5. Discussion and Conclusions
6. Implications
6.1. Theoretical Implications
6.2. Managerial Implications
7. Limitation and Future Directions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
| Variable Name | Title Number | Evaluation Content | Source |
|---|---|---|---|
| Consumer Trust | CT1 | I trust that upcycled foods are high quality. | Lassoued et al. [153] |
| CT2 | I trust that upcycled foods are safe. | Ariyawardana et al. [154] | |
| CT3 | Upcycled foods are accurately labelled. | Benson et al. [155] | |
| CT4 | Upcycled foods have integrity. | ||
| CT5 | Upcycled foods are trustworthy. | ||
| Consumer Innovativeness | CI1 | Do you tend to try the latest products on the market, even before they become mainstream? | Heidenreich et al. [156] Roehrich [157] |
| CI2 | I would like to be the first to own new products. | ||
| CI3 | I wish I am an early adopter of new products. | ||
| CI4 | It is important for me to become the first person to buy new products. | ||
| CI5 | Do you tend to avoid trying unknown or unproven products, even though they may have potential benefits? | ||
| CI6 | It makes me uncomfortable to buy unfamiliar products like upcycled foods just for something different. | ||
| Food Technology Neophobia | FTN1 | New products like upcycled foods are not healthier than traditional foods. | Cox and Evans [158]; Wendt and Weinrich [159] |
| FTN2 | The benefits of new foods like upcycled foods technologies are often grossly overstated. | ||
| FTN3 | New food like upcycled foods technologies decrease the natural quality of food. | ||
| FTN4 | It can be risky to switch to new food technologies like upcycled food technologies too quickly. | ||
| FTN5 | New food technologies like upcycled food technologies may have long term negative environmental effects. | ||
| Perceived risk | PR1 | Upcycled food is made from unqualified materials. | Zhang et al. [160] |
| PR2 | There are illegal or excessive additives in upcycled food. | ||
| PR3 | I am concerned about the health risk associated with upcycled food. | ||
| PR4 | Upcycled food with quality problems will damage my health. | ||
| Frugality | FRU1 | I believe in being careful how I spend my money. | Lastovicka et al. [161]; Evers et al. [162] |
| FRU2 | I discipline myself to get the most from my money. | ||
| FRU3 | There are things I resist buying today so I can save for tomorrow. | ||
| FRU4 | If you can reuse an item, you already have, there’s no sense in buying something new. | ||
| FRU5 | There are many things that are normally thrown away that are still quite useful. | ||
| Collectivism | COL1 | I work hard for the goals of a group, even if it does not result in personal recognition. | McCarty and Shrum [163]; Zhang et al. [20] |
| COL2 | I am a cooperative participant in group activities. | ||
| COL3 | I readily help others in need of help. | ||
| COL4 | I do what is good for most of the people in the group, even if it means that I will receive less. | ||
| COL5 | I often share items and moments with others. | ||
| Environmental Awareness | EA1 | I am worried about the state of the global environment and its impact on my future and even on the next generation. | Chin et al. [164]; Jain and Kaur [165] |
| EA2 | I would be willing to change my lifestyle if that could bring reduction to pollution. | ||
| EA3 | I am willing to pay a bit more for products that do not harm the environment. | Gonçalves-Dias et al. [166]; De Toni et al. [167] | |
| EA4 | I stop purchasing products from a company that disrespects the environment. | ||
| EA5 | I have already convinced other people not to buy products that harm the environment. | ||
| Health Awareness | HA1 | I reflect about my health a lot. | Gould [168]; Parasharet et al. [169] |
| HA2 | I am very self-conscious about my health. | ||
| HA3 | I am generally attentive to my inner feelings about my health. | ||
| HA4 | I regularly check my health and remain attentive to any changes in my condition. | ||
| Perceived behaviour control | PBC1 | If I wanted to, I would not have problems purchasing upcycled foods. | Rex [170]; Yadav and Pathak [171] |
| PBC2 | I have full control over whether I purchase upcycled foods. | ||
| PBC3 | I have the time to purchase upcycled foods. | ||
| PBC4 | I have the opportunities to purchase upcycled foods. | ||
| PBC5 | I have the resources to purchase upcycled foods. | ||
| Subjective norms | SN1 | People who are important to me think that I should use environmentally friendly products like upcycled foods. | Alzubaidi et al. [61] |
| SN2 | People who influence my behaviour think that I should use environmentally friendly products like upcycled foods. | ||
| SN3 | People whose opinions that I value prefer that I use environmentally friendly products like upcycled foods. | ||
| Attitudes | ATT1 | It makes perfect sense to reuse wasted foods for human consumption. | Davis [172]; Hellali and Korai [27] |
| ATT2 | Considering the potential environmental and health benefits of upcycled foods, can you imagine yourself incorporating such products into your daily diet? | ||
| ATT3 | My attitude toward purchasing upcycled foods is very positive. | ||
| ATT4 | I think purchasing upcycled foods is very favourable for me. | Preuit and Yan [173] | |
| ATT5 | I think purchasing upcycled foods is a pleasant choice. | ||
| Purchase Intention | PI1 | I will consider buying upcycled foods. | Preuit and Yan [173]; Lobo and Greenland [174] |
| PI2 | In the future, I will tell my friends about the upcycled foods. | ||
| PI3 | I am willing to buy upcycled foods instead of conventional foods while shopping. | ||
| PI4 | I intend to purchase upcycled foods. |
Appendix B
| VIF | |
|---|---|
| ATT1 | 3.191 |
| ATT2 | 3.296 |
| ATT3 | 3.083 |
| ATT4 | 3.116 |
| ATT5 | 3.022 |
| CI1 | 3.195 |
| CI2 | 3.276 |
| CI3 | 3.173 |
| CI4 | 3.248 |
| CI5 | 3.267 |
| CI6 | 2.73 |
| COL1 | 3.168 |
| COL2 | 2.92 |
| COL3 | 3.139 |
| COL4 | 2.798 |
| COL5 | 3.238 |
| CT1 | 3.228 |
| CT2 | 3.096 |
| CT3 | 3.134 |
| CT4 | 3.104 |
| CT5 | 3.275 |
| EA1 | 2.789 |
| EA2 | 3.13 |
| EA3 | 3.037 |
| EA4 | 3.197 |
| EA5 | 3.239 |
| FRU1 | 3.029 |
| FRU2 | 2.894 |
| FRU3 | 3.25 |
| FRU4 | 3.123 |
| FRU5 | 3.276 |
| FTN1 | 3.039 |
| FTN2 | 3.117 |
| FTN3 | 3.193 |
| FTN4 | 3.247 |
| FTN5 | 3.259 |
| HA1 | 3.216 |
| HA2 | 3.067 |
| HA3 | 3.027 |
| HA4 | 3.13 |
| PBC1 | 2.956 |
| PBC2 | 3.161 |
| PBC3 | 3.221 |
| PBC4 | 3.099 |
| PBC5 | 3.142 |
| PI1 | 3.247 |
| PI2 | 3.295 |
| PI3 | 3.077 |
| PI4 | 3.138 |
| PR1 | 3.13 |
| PR2 | 3.229 |
| PR3 | 3.057 |
| PR4 | 3.184 |
| SN1 | 3.09 |
| SN2 | 2.675 |
| SN3 | 3.121 |
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| Characteristic | Categories | N | % |
|---|---|---|---|
| Gender | Male | 286 | 46.7 |
| Female | 326 | 53.3 | |
| Age | 18–25 | 98 | 16.0 |
| 26–35 | 119 | 19.4 | |
| 36–45 | 175 | 28.6 | |
| 46–55 | 120 | 19.6 | |
| 56–65 | 100 | 16.3 | |
| >65 | 3 | 0.4 | |
| Income | 0–3000 | 298 | 48.7 |
| 3001–5000 | 174 | 28.4 | |
| 5001–8000 | 104 | 17 | |
| 8001–10,000 | 27 | 4.4 | |
| 10,001 and above | 9 | 1.5 | |
| Education Level | Junior High School | 214 | 35 |
| Senior High School | 195 | 31.9 | |
| College diploma | 133 | 21.7 | |
| Bachelor’s degree | 60 | 9.8 | |
| Master’s degree | 10 | 1.6 | |
| Occupation | Current Students | 52 | 8.5 |
| Civil Servants | 56 | 9.2 | |
| Business Managers | 47 | 7.7 | |
| Office Workers | 106 | 17.3 | |
| Professionals | 17 | 2.8 | |
| Factory Workers | 102 | 16.7 | |
| Service Workers | 11 | 1.8 | |
| Sole Proprietor | 17 | 2.8 | |
| Freelancer | 93 | 15.2 | |
| Agricultural Workers | 23 | 3.8 | |
| Retire | 54 | 8.8 | |
| No Occupation yet | 34 | 5.6 |
| Construct | Items | Factor Loadings | Cronbach’s Alpha | CR | AVE |
|---|---|---|---|---|---|
| CT | CT1 | 0.897 | 0.941 | 0.955 | 0.808 |
| CT2 | 0.904 | ||||
| CT3 | 0.896 | ||||
| CT4 | 0.898 | ||||
| CT5 | 0.9 | ||||
| CI | CI1 | 0.897 | 0.945 | 0.956 | 0.784 |
| CI2 | 0.887 | ||||
| CI3 | 0.896 | ||||
| CI4 | 0.89 | ||||
| CI5 | 0.884 | ||||
| CI6 | 0.858 | ||||
| FTN | FTN1 | 0.887 | 0.936 | 0.951 | 0.795 |
| FTN2 | 0.888 | ||||
| FTN3 | 0.899 | ||||
| FTN4 | 0.892 | ||||
| FTN5 | 0.892 | ||||
| PR | PR1 | 0.9 | 0.927 | 0.948 | 0.819 |
| PR2 | 0.916 | ||||
| PR3 | 0.902 | ||||
| PR4 | 0.903 | ||||
| FRU | FRU1 | 0.895 | 0.935 | 0.95 | 0.793 |
| FRU2 | 0.877 | ||||
| FRU3 | 0.894 | ||||
| FRU4 | 0.888 | ||||
| FRU5 | 0.897 | ||||
| COL | COL1 | 0.9 | 0.93 | 0.947 | 0.782 |
| COL2 | 0.879 | ||||
| COL3 | 0.878 | ||||
| COL4 | 0.872 | ||||
| COL5 | 0.893 | ||||
| EA | EA1 | 0.87 | 0.938 | 0.953 | 0.802 |
| EA2 | 0.908 | ||||
| EA3 | 0.911 | ||||
| EA4 | 0.889 | ||||
| EA5 | 0.897 | ||||
| HA | HA1 | 0.911 | 0.929 | 0.95 | 0.825 |
| HA2 | 0.915 | ||||
| HA3 | 0.895 | ||||
| HA4 | 0.912 | ||||
| ATT | ATT1 | 0.898 | 0.946 | 0.958 | 0.822 |
| ATT2 | 0.913 | ||||
| ATT3 | 0.914 | ||||
| ATT4 | 0.893 | ||||
| ATT5 | 0.914 | ||||
| PBC | PBC1 | 0.88 | 0.936 | 0.951 | 0.795 |
| PBC2 | 0.892 | ||||
| PBC3 | 0.903 | ||||
| PBC4 | 0.886 | ||||
| PBC5 | 0.896 | ||||
| SN | SN1 | 0.922 | 0.905 | 0.941 | 0.841 |
| SN2 | 0.908 | ||||
| SN3 | 0.922 | ||||
| PI | PI1 | 0.918 | 0.934 | 0.953 | 0.835 |
| PI2 | 0.906 | ||||
| PI3 | 0.922 | ||||
| PI4 | 0.908 |
| ATT | CI | COL | CT | EA | FRU | FTN | HA | PBC | PI | PR | SN | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ATT | ||||||||||||
| CI | 0.887 | |||||||||||
| COL | 0.824 | 0.86 | ||||||||||
| CT | 0.849 | 0.84 | 0.87 | |||||||||
| EA | 0.895 | 0.87 | 0.884 | 0.842 | ||||||||
| FRU | 0.879 | 0.89 | 0.886 | 0.863 | 0.874 | |||||||
| FTN | 0.881 | 0.85 | 0.829 | 0.869 | 0.816 | 0.836 | ||||||
| HA | 0.896 | 0.88 | 0.864 | 0.862 | 0.891 | 0.859 | 0.848 | |||||
| PBC | 0.865 | 0.89 | 0.857 | 0.871 | 0.856 | 0.831 | 0.898 | 0.877 | ||||
| PI | 0.897 | 0.89 | 0.889 | 0.851 | 0.868 | 0.872 | 0.866 | 0.87 | 0.855 | |||
| PR | 0.854 | 0.87 | 0.818 | 0.802 | 0.801 | 0.828 | 0.875 | 0.873 | 0.892 | 0.827 | ||
| SN | 0.878 | 0.89 | 0.817 | 0.854 | 0.812 | 0.809 | 0.888 | 0.825 | 0.885 | 0.867 | 0.862 |
| Hypothesis Number | Path | Path Coefficient | T-Statistic | p-Value | LLCI (5.00%) | ULCI (95.00%) | Supported |
|---|---|---|---|---|---|---|---|
| H1 | CT → ATT | 0.056 | 0.81 | 0.209 | −0.049 | 0.18 | NO |
| H2 | CI → ATT | 0.242 | 2.949 | 0.002 | 0.107 | 0.374 | YES |
| H3 | CI → PBC | 0.167 | 3.09 | 0.001 | 0.079 | 0.257 | YES |
| H4 | FTN → ATT | 0.028 | 0.29 | 0.386 | −0.137 | 0.177 | NO |
| H5 | FTN → PBC | −0.043 | 0.601 | 0.274 | −0.167 | 0.07 | NO |
| H6 | PR → ATT | 0.051 | 0.534 | 0.297 | −0.09 | 0.222 | NO |
| H7 | PR → PBC | 0.133 | 1.779 | 0.037 | 0.015 | 0.288 | YES |
| H8 | FRU → ATT | 0.248 | 3.008 | 0.001 | 0.1 | 0.373 | YES |
| H9 | FRU → PBC | 0.031 | 0.425 | 0.335 | −0.094 | 0.149 | NO |
| H10 | FRU → SN | 0.276 | 2.695 | 0.004 | 0.106 | 0.441 | YES |
| H11 | COL → ATT | 0.239 | 3.256 | 0.001 | 0.12 | 0.36 | YES |
| H12 | COL → PBC | 0.249 | 3.973 | 0 | 0.146 | 0.351 | YES |
| H13 | COL → SN | 0.302 | 4.362 | 0 | 0.192 | 0.419 | YES |
| H14 | EA → ATT | 0.125 | 1.529 | 0.063 | −0.003 | 0.265 | NO |
| H15 | EA → PBC | 0.31 | 2.928 | 0.002 | 0.134 | 0.485 | YES |
| H16 | HA → ATT | 0.121 | 1.75 | 0.04 | 0.009 | 0.253 | YES |
| H17 | HA → PBC | 0.365 | 5.208 | 0 | 0.248 | 0.478 | YES |
| H18 | ATT → PI | 0.64 | 8.041 | 0 | 0.495 | 0.759 | YES |
| H19 | PBC → PI | 0.144 | 2.303 | 0.011 | 0.059 | 0.266 | YES |
| H20 | SN → PI | 0.184 | 2.533 | 0.006 | 0.065 | 0.301 | YES |
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Fu, K.; Jin, X.; Omar, A. From Waste to Wealth: Factors Influencing the Adoption of Upcycled Foods in China. Sustainability 2026, 18, 4195. https://doi.org/10.3390/su18094195
Fu K, Jin X, Omar A. From Waste to Wealth: Factors Influencing the Adoption of Upcycled Foods in China. Sustainability. 2026; 18(9):4195. https://doi.org/10.3390/su18094195
Chicago/Turabian StyleFu, Kai, Xiaofang Jin, and Azizah Omar. 2026. "From Waste to Wealth: Factors Influencing the Adoption of Upcycled Foods in China" Sustainability 18, no. 9: 4195. https://doi.org/10.3390/su18094195
APA StyleFu, K., Jin, X., & Omar, A. (2026). From Waste to Wealth: Factors Influencing the Adoption of Upcycled Foods in China. Sustainability, 18(9), 4195. https://doi.org/10.3390/su18094195

