CoChat
Sign Up
Cited by 45

The DOI matches its Crossref record.

Investigating the influencing factors of incentive-based household waste recycling using structural equation modelling

Yang, Jin, Jiang, Peng, Zheng, Meimei, Zhou, Jieyu, Liu, Xiao·2022·Waste Management
DOI 10.1016/j.wasman.2022.02.014
Open this paper in CoChat — free account

Abstract

Household waste recycling management is one of the primary challenges of urban development. Incentive-based recycling systems have been used worldwide to increase the willingness of residents to take part in waste recycling. However, the factors that influence the amount of recyclables collected under the current incentive-based recycling systems have not been investigated thoroughly. In this study, the relationships between influencing factors and recycling behaviour were analysed using partial least squares structural equation modelling under a proposed analysis framework. A real-world case study in Shanghai of China was employed to demonstrate the framework's effectiveness. Six major observations were uncovered based on the studied communities: (1) The amount of recyclables collected increased by 190.9% during the pilot period of the new incentive-based recycling policy. (2) The recycling promotion effect of the new policy reached a peak after approximately three months during the pilot period. (3) Recycling motivation and publicity efforts improved recycling behaviour significantly, but the sense of community belonging and exogenous factors like rainy days and holidays did not necessarily have direct impacts on recycling behaviour. (4) Recycling motivation significantly mediated the relationship between the sense of community belonging and waste recycling behaviour. (5) Although publicity efforts in the studied communities did not necessarily enhance recycling motivation,…

Overview

Integrity signals

Registry

Crossref · 10.1016/j.wasman.2022.02.014

Cites

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

No references could be resolved yet.

Research works printed but not linked: 77

  1. Amirudin, 2019, Impact of perceived food accessibility on household food waste behaviors: a case of the Klang Valley, Malaysia, Resour. Conserv. Recycl., 151, 104335, 10.1016/j.resconrec.2019.05.011 · DOI
  2. Anshassi, 2019, Approaches to integrate sustainable materials management into waste management planning and policy, Resour. Conserv. Recycl., 148, 55, 10.1016/j.resconrec.2019.04.011 · DOI
  3. Anton, 2016, The relationship between place attachment, the theory of planned behaviour and residents' response to place change, J. Environ. Psychol., 47, 145, 10.1016/j.jenvp.2016.05.010 · DOI
  4. Aprile, 2019, Intrinsic incentives in household waste recycling: the case of Italy in the year 1998, J. Cleaner Prod., 227, 98, 10.1016/j.jclepro.2019.04.184 · DOI
  5. Arain, 2020, Analysis of e-waste recycling behavior based on survey at a Midwestern US University, Waste Manage., 105, 119, 10.1016/j.wasman.2020.02.002 · DOI · Paper page
  6. Arantes, 2020, Coping with waste: A government-NGO collaborative governance approach in Shanghai, J. Environ. Manage., 259, 109653, 10.1016/j.jenvman.2019.109653 · DOI · Paper page
  7. Burgess, 2021, The future of UK plastics recycling: One Bin to Rule Them All, Resour. Conserv. Recycl., 164, 105191, 10.1016/j.resconrec.2020.105191 · DOI
  8. Denafas, 2014, Seasonal variation of municipal solid waste generation and composition in four East European cities, Resour. Conserv. Recycl., 89, 22, 10.1016/j.resconrec.2014.06.001 · DOI
  9. Edjabou, 2019, Temporal and geographical patterns of solid waste collected at recycling centres, J. Environ. Manage., 245, 384, 10.1016/j.jenvman.2019.05.059 · DOI
  10. 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
  11. Ferrer, 2019, BIN-CT: Urban waste collection based on predicting the container fill level, Biosystems, 186, 103962, 10.1016/j.biosystems.2019.04.006 · DOI
  12. Gajalakshmi, 2008, Solid waste management by composting: state of the art, Crit. Rev. Environ. Sci. Technol., 38, 311, 10.1080/10643380701413633 · DOI
  13. Gómez, 2009, Seasonal characterisation of municipal solid waste (MSW) in the city of Chihuahua, Mexico. Waste Manage., 29, 2018
  14. Grazhdani, 2016, Assessing the variables affecting on the rate of solid waste generation and recycling: an empirical analysis in Prespa Park, Waste Manage., 48, 3, 10.1016/j.wasman.2015.09.028 · DOI
  15. Gu, 2018, Quantising, recognising, and characterising the recycling potential of recyclable waste in China: a field tracking study of Suzhou, J. Cleaner Prod., 201, 948, 10.1016/j.jclepro.2018.08.085 · DOI
  16. Hage, 2009, Norms and economic motivation in household recycling: empirical evidence from sweden, Resour. Conserv. Recycl., 53, 155, 10.1016/j.resconrec.2008.11.003 · DOI
  17. Hair, J.F., Hult, G.T.M., Ringle, C., Sarstedt, M., 2016. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), second ed., Sage Publications.
  18. Hair, 2019, When to use and how to report the results of PLS-SEM, Eur. Business Rev., 31, 2, 10.1108/EBR-11-2018-0203 · DOI · Paper page
  19. He, 2021, Why does waste separation policy vary across different Chinese cities? A configurational analysis of the pilot scheme, J. Cleaner Prod., 283, 124613, 10.1016/j.jclepro.2020.124613 · DOI
  20. Huang, 2020, Identifying the socioeconomic drivers of solid waste recycling in China for the period 2005–2017, Sci. Total Environ., 725, 138137, 10.1016/j.scitotenv.2020.138137 · DOI
  21. 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
  22. Jiang, 2021, Data analytics of social media publicity to enhance household waste management, Resour. Conserv. Recycl., 164, 105146, 10.1016/j.resconrec.2020.105146 · DOI · Paper page
  23. Jiang, 2021, Data analysis of resident engagement and sentiments in social media enables better household waste segregation and recycling, J. Cleaner Prod., 319, 128809, 10.1016/j.jclepro.2021.128809 · DOI · Paper page
  24. Johnson, 2017, Patterns of waste generation: a gradient boosting model for short-term waste prediction in New York City, Waste Manage., 62, 3, 10.1016/j.wasman.2017.01.037 · DOI
  25. Kattoua, 2019, Barriers on the propagation of household solid waste recycling practices in developing countries: State of Palestine example, J. Mater. Cycles Waste Manage., 21, 774, 10.1007/s10163-019-00833-5 · DOI
  26. 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
  27. Khan, 2019, Understanding consumers' behavior intentions towards dealing with the plastic waste: perspective of a developing country, Resour. Conserv. Recycl., 142, 49, 10.1016/j.resconrec.2018.11.020 · DOI
  28. Khan, 2020, Assessing the determinants of intentions and behaviors of organisations towards a circular economy for plastics, Resour. Conserv. Recycl., 163, 10.1016/j.resconrec.2020.105069 · DOI
  29. Klesel, 2019, A test for multi-group comparison using partial least squares path modeling, Internet Res., 29, 464, 10.1108/IntR-11-2017-0418 · DOI
  30. Knickmeyer, 2020, Social factors influencing household waste separation: a literature review on good practices to improve the recycling performance of urban areas, J. Cleaner Prod., 245, 118605, 10.1016/j.jclepro.2019.118605 · DOI · Paper page
  31. Kumar, 2019, Exploring young adults'e-waste recycling behaviour using an extended theory of planned behaviour model: a cross-cultural study, Resour. Conserv. Recycl., 141, 378, 10.1016/j.resconrec.2018.10.013 · DOI · Paper page
  32. Kuo, 2021, Toward a circular economy: a system dynamic model of recycling framework for aseptic paper packaging waste in Indonesia, J. Cleaner Prod., 301, 126901, 10.1016/j.jclepro.2021.126901 · DOI
  33. Lakhan, 2015, Differences in self reported recycling behavior of first and second generation South Asians in Ontario, Canada, Resour. Conserv. Recycl., 97, 31, 10.1016/j.resconrec.2015.02.006 · DOI
  34. Lange, 2014, Wasting ways: perceived distance to the recycling facilities predicts pro-environmental behavior, Resour. Conserv. Recycl., 92, 246, 10.1016/j.resconrec.2014.07.008 · DOI
  35. Levasseur, 2017, Associations between resilience, community belonging, and social participation among community-dwelling older adults: results from the eastern townships population health survey, Arch. Phys. Med. Rehabil., 98, 2422, 10.1016/j.apmr.2017.03.025 · DOI
  36. Li, 2017, Incentives for food waste diversion: exploration of a long term successful Chinese city residential scheme, J. Cleaner Prod., 156, 491, 10.1016/j.jclepro.2017.03.198 · DOI
  37. Li, 2020, The impact of mandatory policies on residents' willingness to separate household waste: a moderated mediation model, J. Environ. Manage., 275, 111226, 10.1016/j.jenvman.2020.111226 · DOI
  38. Li, 2020, Distance is a barrier to recycling–or is it? Surprises from a clean test, Waste Manage., 108, 183, 10.1016/j.wasman.2020.04.022 · DOI
  39. Lu, 2019, Sorting out a problem: a co-production approach to household waste management in Shanghai, China, Waste Manage., 95, 271, 10.1016/j.wasman.2019.06.020 · DOI · Paper page
  40. Macias, 2016, Know your neighbors, save the planet: Social capital and the widening wedge of pro-environmental outcomes, Environ. Behav., 48, 391, 10.1177/0013916514540458 · DOI
  41. Matter, 2015, Impacts of policy and market incentives for solid waste recycling in Dhaka, Bangladesh, Waste Manage., 39, 321, 10.1016/j.wasman.2015.01.032 · DOI · Paper page
  42. Medjahed, 2019, Characterisation of solid waste from commercial activities and services in the municipality of Annaba, Algeria, J. Air Waste Manag. Assoc., 69, 1293, 10.1080/10962247.2019.1655112 · DOI
  43. Meng, 2019, Investigation on decision-making mechanism of residents' household solid waste classification and recycling behaviors, Resour. Conserv. Recycl., 140, 224, 10.1016/j.resconrec.2018.09.021 · DOI
  44. Ng, 2019, Predicting multi-family dwelling recycling behaviors using structural equation modelling: a case study of Hong Kong, Resour. Conserv. Recycl., 149, 468, 10.1016/j.resconrec.2019.06.007 · DOI
  45. Othman, 2013, Review on life cycle assessment of integrated solid waste management in some Asian countries, J. Cleaner Prod., 41, 251, 10.1016/j.jclepro.2012.09.043 · DOI
  46. Pei, 2019, Roles of neighborhood ties, community attachment and local identity in residents' household waste recycling intention, J. Cleaner Prod., 241, 118217, 10.1016/j.jclepro.2019.118217 · DOI
  47. Pinkster, 2016, Narratives of neighbourhood change and loss of belonging in an urban garden village, Soc. Cultural Geogr., 17, 871, 10.1080/14649365.2016.1139169 · DOI
  48. Poudel, 2018, Youth driven change, Nepalese J. Participatory Dev., 18, 43
  49. Qin, 2021, Social forces and street-level governance in Shanghai: from compliance to participation in recycling regulations, China Q., 248, 1081, 10.1017/S0305741021000114 · DOI
  50. Rafiee, 2018, The impact of various festivals and events on recycling potential of municipal solid waste in Tehran, Iran. J. Cleaner Prod., 183, 77, 10.1016/j.jclepro.2018.02.118 · DOI
  51. Rajapaksa, 2019, Do monetary and non-monetary incentives influence environmental attitudes and behavior? Evidence from an experimental analysis, Resour. Conserv. Recycl., 149, 168, 10.1016/j.resconrec.2019.05.034 · DOI
  52. Salami, 2019, Sense of community belonging among immigrants: perspective of immigrant service providers, Public Health, 167, 28, 10.1016/j.puhe.2018.10.017 · DOI
  53. Shan, 2020, Mobile app-aided risks, attitudes, norms, abilities and self-regulation (RANAS) approach for recycling behavioral change in Singapore, Resour. Conserv. Recycl., 162, 105049, 10.1016/j.resconrec.2020.105049 · DOI
  54. Shih, 2019, Recycling fund management for a cleaner environment through differentiated subsidy rates, J. Cleaner Prod., 240, 118146, 10.1016/j.jclepro.2019.118146 · DOI
  55. Stone, M.L., Gatotho, J.W., Graham, J.L., 2013. Model Documentation for Relations Between Continuous Real-time and Discrete Water-quality Constituents in Cheney Reservoir Near Cheney, Kansas, 2001--2009. US Department of the Interior, US Geological Survey. · DOI
  56. Tabernero, 2011, Self-efficacy and intrinsic motivation guiding environmental behavior, Environ. Behav., 43, 658, 10.1177/0013916510379759 · DOI
  57. Tanskanen, 2013, Management and recycling of electronic waste, Acta Mater., 61, 1001, 10.1016/j.actamat.2012.11.005 · DOI
  58. Tiew, 2019, Higher educational institutions recycling management in Malaysia, Int. J. Bus. Soc., 20, 277
  59. Tonglet, 2004, Using the theory of planned behaviour to investigate the determinants of recycling behaviour: a case study from Brixworth, UK, Resour. Conserv. Recycl., 41, 191, 10.1016/j.resconrec.2003.11.001 · DOI
  60. Udawatta, 2015, Improving waste management in construction projects: an Australian study, Resour. Conserv. Recycl., 101, 73, 10.1016/j.resconrec.2015.05.003 · DOI
  61. Wang, 2008, The collection system for residential recyclables in communities in Haidian District, Beijing: a possible approach for China recycling, Waste Manage., 28, 1672, 10.1016/j.wasman.2007.05.020 · DOI
  62. Wang, 2018, “Internet+” recyclable resources: a new recycling mode in China, Resour. Conserv. Recycl., 134, 44, 10.1016/j.resconrec.2018.03.006 · DOI
  63. Wang, 2020, Key factors influencing public awareness of household solid waste recycling in urban areas of China: a case study, Resour. Conserv. Recycl., 158, 104813, 10.1016/j.resconrec.2020.104813 · DOI
  64. Wang, 2019, Information publicity and resident's waste separation behavior: an empirical study based on the norm activation model, Waste Manage., 87, 33, 10.1016/j.wasman.2019.01.038 · DOI
  65. Wang, 2021, The influence of economic incentives on residents' intention to participate in online recycling: an experimental study from China, Resour. Conserv. Recycl., 169, 105497, 10.1016/j.resconrec.2021.105497 · DOI
  66. Wang, 2021, Intention in use recyclable express packaging in consumers' behavior: an empirical study, Resour. Conserv. Recycl., 164, 105115, 10.1016/j.resconrec.2020.105115 · DOI
  67. Whitmarsh, 2018, Waste reduction behaviors at home, at work, and on holiday: What influences behavioral consistency across contexts?, Front. Psychol., 9, 2447, 10.3389/fpsyg.2018.02447 · DOI
  68. Xia, 2021, Understanding waste sorting behavior and key influencing factors through internet of things: Evidence from college student community, Resour. Conserv. Recycl., 174, 105775, 10.1016/j.resconrec.2021.105775 · DOI
  69. Xu, 2018, Economic incentive and social influence to overcome household waste separation dilemma: a field intervention study, Waste Manage., 77, 522, 10.1016/j.wasman.2018.04.048 · DOI
  70. Yang, 2021, Willingness to participate in take-out packaging waste recycling: relationship among effort level, advertising effect, subsidy and penalty, Waste Manage., 121, 141, 10.1016/j.wasman.2020.12.005 · DOI
  71. Yau, 2010, Domestic waste recycling, collective action and economic incentive: the case in Hong Kong, Waste Manage., 30, 2440, 10.1016/j.wasman.2010.06.009 · DOI
  72. Zanbar, 2020, Sense of belonging and commitment as mediators of the effect of community features on active involvement in the community, City Community, 19, 617, 10.1111/cico.12420 · DOI
  73. Zhang, 2019, Motivation and challenges for e-commerce in e-waste recycling under “Big data” context: a perspective from household willingness in China, Technol. Forecast. Soc. Chang., 144, 436, 10.1016/j.techfore.2018.03.001 · DOI
  74. Zhang, 2021, Understanding consumers' behavior intention of recycling mobile phone through formal channels in China: the effect of privacy concern, Resour. Environ. Sustain., 5, 100027
  75. Zhang, 2016, What keeps Chinese from recycling: accessibility of recycling facilities and the behavior, Resour. Conserv. Recycl., 109, 176, 10.1016/j.resconrec.2016.02.008 · DOI
  76. Zhong, 2016, The empirical research on the consumers' willingness to participate in E-waste recycling with a points reward system, Energy Procedia, 104, 475, 10.1016/j.egypro.2016.12.080 · DOI
  77. 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

Metadata

Authors
Yang, J., Jiang, P., Zheng, M., Zhou, J., & Liu, X.
Venue
Waste Management
Publisher
Elsevier BV
Published
2022-04
Volume
142
Pages
120-131
ISSN
0956-053X
DOI
10.1016/j.wasman.2022.02.014
Cited by
45
References
0
Language
en
Licence
Funders
  • National Natural Science Foundation of China (72061127004)
  • Fundamental Research Funds for the Central Universities (YJ202138)

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