Cited by 49

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Household waste management in Singapore and Shanghai: Experiences, challenges and opportunities from the perspective of emerging megacities

Zhou, Jieyu, Li, Lanyu, Wang, Qingyi, Fan, Yee Van, Liu, Xiao, Klemeš, Jiří Jaromír, Wang, Xiaonan, Tong, Yen Wah, Jiang, Peng·2022·Waste Management

Abstract

Due to rapid economic development and urbanisation, emerging megacities with dense populations have witnessed a significant increase in waste generation. Megacities face challenges in developing sustainable waste management systems. Considerable heterogeneity exists across megacities in management strategies. The two selected emerging megacities, Singapore (a city-state) and Shanghai, have similar developmental characteristics, but their waste management modes differ strikingly. This study assessed the two modes in terms of management strategies, environmental effects, economic costs, and social outcomes. Environmental footprint analysis and cost quantification were employed for the assessment based on public data. The research results would permit a deeper understanding of the long-term sustainability of each mode while considering the feasibility of implementation across different contexts. It was found that the waste management system in Singapore had a relatively lower environmental impact than Shanghai before Shanghai's new waste segregation and recycling policy in 2019. However, when the effect of fossil fuel substitution is taken into account, the environmental burden in Shanghai can be lowered more substantially than the one in Singapore. Although Shanghai had more economic burden for the waste segregation at source, it tended to implement the circular economy principles (e.g., reduce, reuse, and recycling) better and improve its sense of community significantly. Base…

Overview

Integrity signals

Registry

Crossref · 10.1016/j.wasman.2022.03.029

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 1 references

Research works printed but not linked: 51

  1. Abdallah, 2020, Artificial intelligence applications in solid waste management: A systematic research review, Waste Manage., 109, 231, 10.1016/j.wasman.2020.04.057 · DOI
  2. Aljerf, 2016, Sustainable development in Damascus University: a survey of internal stakeholder views, J. Environ. Stud., 2, 1
  3. Arantes, 2020, Coping with waste: A government-NGO collaborative governance approach in Shanghai, J. Environ. Manage., 259, 10.1016/j.jenvman.2019.109653 · DOI · Paper page
  4. Aslam, 2020, Review of construction and demolition waste management in China and USA, J. Environ. Manage., 264, 10.1016/j.jenvman.2020.110445 · DOI
  5. Ayodele, 2018, Recyclable resources from municipal solid waste: Assessment of its energy, economic and environmental benefits in Nigeria, Resour. Conserv. Recycl., 134, 165, 10.1016/j.resconrec.2018.03.017 · DOI
  6. Bare, 2000, Midpoints versus endpoints: the sacrifices and benefits, The International Journal of Life Cycle Assessment, 5, 319, 10.1007/BF02978665 · DOI
  7. Chien, 2021, Industry 3.5 for sustainable migration and total resource management, Resour. Conserv. Recycl., 169, 10.1016/j.resconrec.2021.105505 · DOI
  8. Chu, 2021, The potential value of recycling municipal household solid waste in Shanghai, China. J. Air Waste Manage. Assoc., 71, 285, 10.1080/10962247.2019.1705435 · DOI
  9. Fan, 2019, A comparison study of 'motivation–intention–behavior'model on household solid waste sorting in China and Singapore, J. Cleaner Prod., 211, 442, 10.1016/j.jclepro.2018.11.168 · DOI
  10. Fan, 2021, An update of COVID-19 influence on waste management, Sci. Total Environ., 754, 10.1016/j.scitotenv.2020.142014 · DOI
  11. Fan, 2021, Integrated regional waste management to minimise the environmental footprints in circular economy transition, Resour. Conserv. Recycl., 168, 10.1016/j.resconrec.2020.105292 · DOI
  12. Feng, 2017, Geotechnical properties of municipal solid waste at Laogang Landfill, China, Waste Manage., 63, 354, 10.1016/j.wasman.2016.09.016 · DOI
  13. Giannis, 2017, Application of system dynamics modeling for evaluation of different recycling scenarios in Singapore, J. Mater. Cycles Waste Manage., 19, 1177, 10.1007/s10163-016-0503-2 · DOI
  14. Giovanis, 2015, Relationship between recycling rate and air pollution: Waste management in the state of Massachusetts, Waste Manage., 40, 192, 10.1016/j.wasman.2015.03.006 · DOI
  15. Gu, 2021, The recyclable waste recycling potential towards zero waste cities-A comparison of three cities in China, J. Cleaner Prod., 295, 10.1016/j.jclepro.2021.126358 · DOI
  16. Hamidi, 2020, Does density aggravate the COVID-19 pandemic? Early findings and lessons for planners, J. Am. Planning Assoc., 86, 495, 10.1080/01944363.2020.1777891 · DOI
  17. Jiang, 2020, Data-driven analytical framework for waste-dumping behaviour analysis to facilitate policy regulations, Waste Manage., 103, 285, 10.1016/j.wasman.2019.12.041 · DOI
  18. Jiang, 2021, Data analytics of social media publicity to enhance household waste management, Resour. Conserv. Recycl., 164, 10.1016/j.resconrec.2020.105146 · DOI · Paper page
  19. Jiang, 2021, Spatial-temporal potential exposure risk analytics and urban sustainability impacts related to COVID-19 mitigation: a perspective from car mobility behaviour, J. Cleaner Prod., 279, 10.1016/j.jclepro.2020.123673 · DOI
  20. Jiang, 2021, Data analysis of resident engagement and sentiments in social media enables better household waste segregation and recycling, J. Cleaner Production, 319, 10.1016/j.jclepro.2021.128809 · DOI · Paper page
  21. Kaza, S., Yao, L., Bhada-Tata, P., Van Woerden, F., 2018. What a waste 2.0: a global snapshot of solid waste management to 2050. World Bank Publications. · DOI · Paper page
  22. Kerdlap, 2019, Zero waste manufacturing: Aframework and review of technology, research, and implementation barriers for enabling a circular economy transition in Singapore, Resour. Conserv. Recycl., 151, 10.1016/j.resconrec.2019.104438 · DOI
  23. Klemeš, 2020, Minimising the present and future plastic waste, energy and environmental footprints related to COVID-19, Renew. Sustain. Energy Rev., 127, 10.1016/j.rser.2020.109883 · DOI
  24. Klemeš, 2021, COVID-19 pandemics Stage II – Energy and environmental impacts of vaccination, Renew. Sustain. Energy Rev., 150, 10.1016/j.rser.2021.111400 · DOI
  25. Liu, 2020, Food waste in Bangkok: Current situation, trends and key challenges, Resour. Conserv. Recycl., 157, 10.1016/j.resconrec.2020.104779 · DOI
  26. Malinauskaite, 2017, Municipal solid waste management and waste-to-energy in the context of a circular economy and energy recycling in Europe, Energy, 141, 2013, 10.1016/j.energy.2017.11.128 · DOI · Paper page
  27. Milios, 2021, Towards a Circular Economy Taxation Framework: Expectations and Challenges of Implementation, Circular Econ. Sustainability, 1
  28. Ng, 2017, Municipal food waste management in Singapore: practices, challenges and recommendations, J. Mater. Cycles Waste Manage., 19, 560, 10.1007/s10163-015-0405-8 · DOI
  29. Nie, 2018, Is the finer the better for municipal solid waste (MSW) classification in view of recyclable constituents? A comprehensive social, economic and environmental analysis, Waste Manage., 79, 472, 10.1016/j.wasman.2018.08.016 · DOI
  30. Quek, 2018, Challenges in environmental sustainability of renewable energy options in Singapore, Energy Policy, 122, 388, 10.1016/j.enpol.2018.07.055 · DOI
  31. Sharma, 2020, Challenges, opportunities, and innovations for effective solid waste management during and post COVID-19 pandemic, Resources Conservation and Recycling, 105052, 10.1016/j.resconrec.2020.105052 · DOI
  32. Sheau-Ting, 2016, Preferred attributes of waste separation behaviour: An empirical study, Procedia Eng., 145, 738, 10.1016/j.proeng.2016.04.094 · DOI
  33. Shan, 2020, Mobile app-aided risks, attitudes, norms, abilities and self-regulation (RANAS) approach for recycling behavioral change in Singapore, Resour. Conserv. Recycl., 162, 10.1016/j.resconrec.2020.105049 · DOI
  34. Shanghai Municipal Statistical Bureau, 2020. 2019 Shanghai Statistical Yearbook. China Statistics Press. https://www.chinayearbooks.com/tags/shanghai-statistical-yearbook (accessed 28 August 2021).
  35. Tominac, 2021, Evaluating Landfill Diversion Strategies for Municipal Organic Waste Management Using Environmental and Economic Factors, ACS Sustainable Chem. Eng., 9, 489, 10.1021/acssuschemeng.0c07784 · DOI
  36. Tonini, 2018, Environmental impacts of food waste: Learnings and challenges from a case study on UK, Waste Manage., 76, 744, 10.1016/j.wasman.2018.03.032 · DOI
  37. Wang, 2018, “Internet+” recyclable resources: A new recycling mode in China, Resour. Conserv. Recycl., 134, 44, 10.1016/j.resconrec.2018.03.006 · DOI
  38. Wang, 2018, Solid Wastes Import Control in China: Recent Developments, Asia-Pacific J. Ocean Law Policy, 3, 116, 10.1163/24519391-00301006 · DOI
  39. Wang, 2021, Implementation effect of municipal solid waste mandatory sorting policy in Shanghai, J. Environ. Manage., 298, 10.1016/j.jenvman.2021.113512 · DOI · Paper page
  40. Xiao, 2020, An overview of the municipal solid waste management modes and innovations in Shanghai, China, Environ. Sci. Pollut. Res., 27, 29943, 10.1007/s11356-020-09398-5 · DOI · Paper page
  41. Xiao, 2020, Policy impacts on Municipal Solid Waste management in Shanghai: A system dynamics model analysis, J. Cleaner Prod., 262, 10.1016/j.jclepro.2020.121366 · DOI
  42. Xue, 2015, Municipal solid waste collection optimisation in Singapore, Appl. Geogr., 62, 182, 10.1016/j.apgeog.2015.04.002 · DOI
  43. Yang, 2022, Investigating the influencing factors of incentive-based household waste recycling using structural equation modelling, Waste Manage., 142, 120, 10.1016/j.wasman.2022.02.014 · DOI · Paper page
  44. Yang, 2015, Past, present and future of waste management in Korea, J. Mater. Cycles Waste Manage., 17, 207, 10.1007/s10163-014-0301-7 · DOI
  45. Ye, 2020, China's green future and household solid waste: Challenges and prospects, Waste Manage., 105, 328, 10.1016/j.wasman.2020.02.025 · DOI
  46. Yousefloo, 2020, Designing an integrated municipal solid waste management network: A case study, J. Cleaner Prod., 244, 10.1016/j.jclepro.2019.118824 · DOI
  47. Zhang, 2019, From intention to action: How do personal attitudes, facilities accessibility, and government stimulus matter for household waste sorting?, J. Environ. Manage., 233, 447, 10.1016/j.jenvman.2018.12.059 · DOI
  48. Zhang, 2010, A comparison of municipal solid waste management in Berlin and Singapore, Waste Manage., 30, 921, 10.1016/j.wasman.2009.11.017 · DOI
  49. Zhang, 2018, Characterisation of household food waste and strategies for its reduction: A Shenzhen City case study, Waste Manage., 78, 426, 10.1016/j.wasman.2018.06.010 · DOI
  50. Zheng, 2014, Preferential policies promote municipal solid waste (MSW) to energy in China: Current status and prospects, Renew. Sustain. Energy Rev., 36, 135, 10.1016/j.rser.2014.04.049 · DOI
  51. Zhou, 2021, Designing a smart incentive-based recycling system for household recyclable waste, Waste Manage., 123, 142, 10.1016/j.wasman.2021.01.030 · DOI

Cited by

Sorted by citations

See all 49

Metadata

Authors
Zhou, J., Li, L., Wang, Q., Fan, Y. V., Liu, X., Klemeš, J. J., Wang, X., Tong, Y. W., & Jiang, P.
Venue
Waste Management
Publisher
Elsevier BV
Published
2022-05
Volume
144
Pages
221-232
ISSN
0956-053X
Cited by
49
References
1
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Household waste management in Singapore and Shanghai: Experiences, challenges and opportunities from the perspective of emerging megacities. https://app.cochat.ai/papers/10.1016/j.wasman.2022.03.029
The paper
Zhou, J., Li, L., Wang, Q., Fan, Y. V., Liu, X., Klemeš, J. J., Wang, X., Tong, Y. W., & Jiang, P. (2022). Household waste management in Singapore and Shanghai: Experiences, challenges and opportunities from the perspective of emerging megacities. Waste Management. https://doi.org/10.1016/j.wasman.2022.03.029