A Cluster Analysis of Cooperative Recycling Behaviors for Post-Consumer Plastic Waste in Urban Areas: A Case Study on Sendai, Kawasaki, and Kyoto City in Japan
Abstract
1. Introduction
2. Literature Review
3. Method and Materials
3.1. Data Collection
3.2. Data Analysis
3.3. Sample Characteristics
4. Results
4.1. Main Findings
4.2. Other Findings
5. Discussion
5.1. Consumer Segmentation and Behavioral Characteristics
5.2. Policy Implications
- For “Fully Engaged Consumers,” local municipal policies should focus on how to maintain their enthusiasm. For example, through community publicity and recognition, increase their social recognition. Alternatively, let them become environmental advocates, influencing and guiding those around them to participate actively and practice plastic-related environmental protection activities, as well as use recycling boxes effectively.
- For “Knowledge-Driven Consumers,” policies should focus on filling the gap between attitudes and behavior. According to their responses in Table 4, more direct incentives should be taken to increase their participation. For example, improving the accessibility of recycling boxes and offering more direct incentives (such as points, coupon rewards).
- For “Passively Engaged Consumers,” interventions should prioritize strengthening environmental education to enhance their environmental awareness and understanding of plastic pollution and related laws and policies. The improvement of knowledge and awareness does not necessarily mean that behavior can be changed directly [71]. However, environmental education can still promote more environmentally friendly attitudes and further reduce plastic pollution, making it crucial [72,73].
6. Conclusions and Future Task
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Categories | Variables | Code | Description |
---|---|---|---|
Recycling behavior | Municipality recycling route | MR | 1 = Use, 0 = Not use |
Retailer recycling route (use of recycling boxes) | RR | 1 = Use, 0 = Not use | |
Knowledge and attitudes | Knowledge and attitudes towards the New Plastic Law | NPL | 1 = I know it, and I think it is good 2 = I know it, but I do not care about it 3 = I know it, but I think it is not good 4 = I do not know it |
Knowledge and attitudes towards different plastic recycling methods | PRM | 1 = I am familiar with various plastic recycling methods. 0 = I do not know or care about the plastic recycling methods | |
Pro-environmental practices | Frequency of washing plastic waste | FWP | 1 = Always 2 = Often 3 = Sometimes 4 = Rarely 5 = Never |
Practices of reducing single-use plastics | RSP | We listed six ways to reduce single-use plastics, and respondents will earn 1 score for each practice they checked. | |
Attitudes and practices towards environmental protection activities | AEPA | 1 = I have never participated, and I am not interested 2 = I have never participated, but I am interested 3 = I have participated | |
Willingness to pay | Willingness to pay for the premium of eco-friendly packaging | WTP 1 | 1 = Don’t want to pay 2 = Less than 5% of the product price 3 = 5–10% of the product price 4 = 11–20% of the product price 5 = 21–25% of the product price 6 = More than 26% of the product price |
Willingness to pay for designated garbage bags | WTP 2 | 1 = Free 2 = under 15 yen per bag 3 = 15–30 yen per bag 4 = 31–45 yen per bag 5 = 46–60 yen per bag 6 = Over 60 yen per bag | |
Socio-demographic characteristics | Gender | Gender | 1 = Male, 2 = Female |
Age | Age | Age of respondents (consecutive integer) | |
Education level | Education | 1 = Elementary school or below 2 = Middle school 3 = High school 4 = University/vocational school 5 = Graduate school or above | |
Personal annual income | Income | 1 = 3 million yen or less 2 = 3 million−5 million yen 3 = 5 million−7 million yen 4 = 7 million−10 million yen 5 = 10 million yen or more | |
Household size | HS | Number of family members of the respondent (consecutive integer) | |
Housing type | HT | 1 = Detached house, 0 = Communal house | |
Employment status | Employment | 1 = Employed, 0 = Unemployed |
Socio-Demographic Characteristics | Sendai (n = 248) | Kawasaki (n = 258) | Kyoto (n = 252) | Total (n = 758) | |
---|---|---|---|---|---|
Age | 20 to 29 | 12% | 12% | 12% | 12% |
30 to 39 | 12% | 12% | 12% | 12% | |
40 to 49 | 13% | 14% | 13% | 13% | |
50 to 64 | 38% | 39% | 38% | 38% | |
65 and above | 25% | 24% | 26% | 25% | |
Gender | Male | 49% | 48% | 47% | 52% |
Female | 51% | 52% | 53% | 48% | |
Education level | Elementary school or below | 0% | 0% | 0% | 0% |
Middle school | 1% | 2% | 2% | 1% | |
High school | 33% | 20% | 25% | 26% | |
University/vocational school | 59% | 74% | 67% | 67% | |
Graduate school or above | 7% | 4% | 6% | 6% | |
Occupation | Self-employed | 3% | 4% | 12% | 6% |
Professional (lawyer, doctor, teacher, etc.) | 3% | 2% | 6% | 4% | |
Civil servant/organization employee | 7% | 4% | 4% | 5% | |
Company employee | 35% | 41% | 31% | 36% | |
Part-time/casual worker | 13% | 14% | 15% | 14% | |
Housewife/househusband | 13% | 17% | 13% | 14% | |
Student | 2% | 1% | 1% | 1% | |
Retired | 8% | 7% | 6% | 7% | |
Unemployed | 13% | 10% | 12% | 12% | |
Other | 2% | 1% | 1% | 1% | |
Individual annual income | 3 million yen or less | 60% | 57% | 60% | 59% |
3 million−5 million yen | 21% | 16% | 22% | 20% | |
5 million−7 million yen | 9% | 14% | 10% | 11% | |
7 million−10 million yen | 7% | 9% | 5% | 7% | |
10 million yen or more | 4% | 5% | 3% | 4% | |
Household size | 1 person | 24% | 24% | 25% | 25% |
2–3 people | 60% | 61% | 60% | 60% | |
4–6 people | 16% | 14% | 15% | 15% | |
Housing type | Detached house | 44% | 31% | 50% | 42% |
Communal house | 55% | 68% | 48% | 57% | |
Other | 1% | 1% | 2% | 1% |
Cluster 1 | Cluster 2 | Cluster 3 | |
---|---|---|---|
MR | +0.24 | +0.12 | −0.32 |
RR | +0.42 | +0.18 | −0.54 |
NPL | +0.16 | +0.46 | −0.62 |
PRM | +0.40 | +0.49 | −0.85 |
FWP | +0.45 | +0.37 | −0.76 |
RSP | +0.51 | +0.16 | −0.59 |
AEPA | +0.45 | +0.31 | −0.70 |
WTP1 | +0.12 | +0.34 | −0.46 |
WTP2 | +0.15 | +0.33 | −0.76 |
Gender | +0.39 | −0.25 | −0.07 |
Age | +0.71 | −0.04 | −0.55 |
Education | −0.06 | +0.17 | −0.13 |
Income | −0.97 | +0.66 | +0.12 |
HS | −0.13 | +0.11 | +0.00 |
HT | +0.21 | −0.03 | −0.15 |
Employment | −1.30 | +0.72 | +0.33 |
Questions and Responses | Cluster 1 | Cluster 2 | Cluster 3 | |
---|---|---|---|---|
Age | Average age | 64 | 52 | 44 |
Reasons for using the retailer recycling route | Close to home. | 27% | 19% | 2% |
Throw waste anytime. | 26% | 17% | 2% | |
Environmentally friendly. | 17% | 12% | 2% | |
Save money. | 16% | 13% | 1% | |
Reduce municipal waste disposal costs. | 9% | 8% | 0% | |
Special benefits (points, coupons). | 8% | 6% | 0% | |
Reasons for not using the retailer recycling route | Far from home. | 30% | 31% | 49% |
Strict separation rules. | 6% | 9% | 13% | |
Do not want to wash plastic waste. | 4% | 9% | 17% | |
Fewer types of plastic waste can be collected. | 11% | 16% | 26% | |
Preference for improvement measures | Municipalities introduce more convenient separation policies. | 58% | 51% | 38% |
Offer incentives to consumers, such as points awarded for using recycling boxes. | 45% | 51% | 28% | |
Governments and universities conduct education and awareness-raising activities on plastic issues. | 15% | 17% | 8% | |
Supermarkets and recycling companies set up more recycling stations/boxes. | 54% | 41% | 17% | |
Research and development of recycling technology. | 47% | 33% | 39% |
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Yu, Z.; Liu, X.; Yu, J.; Sujauddin, M.; Manago, G. A Cluster Analysis of Cooperative Recycling Behaviors for Post-Consumer Plastic Waste in Urban Areas: A Case Study on Sendai, Kawasaki, and Kyoto City in Japan. Sustainability 2025, 17, 7939. https://doi.org/10.3390/su17177939
Yu Z, Liu X, Yu J, Sujauddin M, Manago G. A Cluster Analysis of Cooperative Recycling Behaviors for Post-Consumer Plastic Waste in Urban Areas: A Case Study on Sendai, Kawasaki, and Kyoto City in Japan. Sustainability. 2025; 17(17):7939. https://doi.org/10.3390/su17177939
Chicago/Turabian StyleYu, Zhuojiao, Xiaoyue Liu, Jeongsoo Yu, Mohammad Sujauddin, and Gaku Manago. 2025. "A Cluster Analysis of Cooperative Recycling Behaviors for Post-Consumer Plastic Waste in Urban Areas: A Case Study on Sendai, Kawasaki, and Kyoto City in Japan" Sustainability 17, no. 17: 7939. https://doi.org/10.3390/su17177939
APA StyleYu, Z., Liu, X., Yu, J., Sujauddin, M., & Manago, G. (2025). A Cluster Analysis of Cooperative Recycling Behaviors for Post-Consumer Plastic Waste in Urban Areas: A Case Study on Sendai, Kawasaki, and Kyoto City in Japan. Sustainability, 17(17), 7939. https://doi.org/10.3390/su17177939