Abstract
Plastic waste management is needed to prevent environmental damage. Recycling plastic waste is encouraged to continue using plastics while reducing environmental impact. These include the vast volume of plastic waste (p-waste) generated and discarded, the non-biodegradability of most plastic waste, the persistence of plastic waste in health, and the environmental risks of micro- and nano-plastics. Therefore, this study extended the valence theory (VT) model with openness to change, environmental concerns, and the convenience of accessible recycling infrastructure to examine residents' p-waste recycling intentions and behavior in Ghana. The main aim of this research is to assess the moderating role of age, gender, and education level in detecting Ghanaians' p-waste recycling intention-behaviors. Based on 390 survey responses, hypothetical claims were examined utilizing partial least square structural equation modeling (PLS-SEM). The findings are: (1) Perceived benefit, openness to change, environmental concerns, and convenience positively influence residents' p-waste recycling behavior through recycling intention in Ghana. (2) The study found that gender moderates the link between openness to change (OTC) and plastic waste recycling intention, while educational level moderates the link between OTC and recycling behavior. (3) Perceived benefit, openness to change, environmental concerns, perceived risk, and convenience positively affect residents' p-waste recycling intention. (4) Openness to change and convenience of accessible recycling infrastructure positively influence residents' p-waste recycling behavior. To reduce p-waste recycling complexity and maintain consistent practices, identical recycling systems and facilities must be installed in all waste generation scenarios. Waste planners and policymakers could use the results of this research to develop effective waste management structures that are helpful to circular economy projects.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Aapola, S. (2002). Exploring dimensions of age in young people’s lives: A discourse analytical approach. Time & Society, 11(3), 295–314. https://doi.org/10.1177/0961463X02011002007
Adam, I., Walker, T. R., Clayton, C. A., & Carlos Bezerra, J. (2021). Attitudinal and behavioural segments on single-use plastics in Ghana: Implications for reducing marine plastic pollution. Environmental Challenges, 4, 100185. https://doi.org/10.1016/j.envc.2021.100185
Adler, E., & Clark, R. (2006). Invitation to social research. Cengage Learning.
Adu-Gyamfi, G., Song, H., Obuobi, B., Nketiah, E., Wang, H., & Cudjoe, D. (2022). Who will adopt? Investigating the adoption intention for battery swap technology for electric vehicles. Renewable and Sustainable Energy Reviews, 156, 111979. https://doi.org/10.1016/j.rser.2021.111979
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Akram, U., Hui, P., Khan, M. K., Hashim, M., & Rasheed, S. (2016). Impact of store atmosphere on impulse buying behaviour: Moderating effect of demographic variables. International Journal of u- and e- Service, Science and Technology, 9(7), 43–60. https://doi.org/10.14257/ijunesst.2016.9.7.05
Alhassan, H., Kwakwa, P. A., & Owusu-Sekyere, E. (2020). Households’ source separation behaviour and solid waste disposal options in Ghana’s Millennium City. Journal of Environmental Management, 259, 110055. https://doi.org/10.1016/j.jenvman.2019.110055
Ali, F., Rasoolimanesh, S. M., Sarstedt, M., Ringle, C. M., & Ryu, K. (2018). An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research. International Journal of Contemporary Hospitality Management, 30(1), 514–538. https://doi.org/10.1108/IJCHM-10-2016-0568
Ando, A. W., & Gosselin, A. Y. (2005). Recycling in multifamily dwellings: Does convenience matter? Economic Inquiry, 43(2), 426–438. https://doi.org/10.1093/ei/cbi029
Appiah, J. K., Berko-Boateng, V. N., & Tagbor, T. A. (2017). Use of waste plastic materials for road construction in Ghana. Case Studies in Construction Materials, 6, 1–7. https://doi.org/10.1016/j.cscm.2016.11.001
Astrachan, C. B., Patel, V. K., & Wanzenried, G. (2014). A comparative study of CB-SEM and PLS-SEM for theory development in family firm research. Journal of Family Business Strategy, 5(1), 116–128. https://doi.org/10.1016/j.jfbs.2013.12.002
Badoe, C. (2014). The challenges of waste management in Ghana EPA’s perspective - Today Newspaper, 1–5. http://www.todaygh.com/challenges-waste-management-ghana-epas-perspective/
Bagozzi, R. P., Dholakia, U. M., & Basuroy, S. (2003). How effortful decisions get enacted: The motivating role of decision processes, desires, and anticipated emotions. Journal of Behavioral Decision Making, 16(4), 273–295. https://doi.org/10.1002/bdm.446
Bamberg, S. (2003). How does environmental concern influence specific environmentally related behaviors? A new answer to an old question. Journal of Environmental Psychology, 23(1), 21–32. https://doi.org/10.1016/S0272-4944(02)00078-6
Banu, J. R., Sharmila, V. G., Ushani, U., Amudha, V., & Kumar, G. (2020). Impervious and influence in the liquid fuel production from municipal plastic waste through thermo-chemical biomass conversion technologies - A review. Science of the Total Environment, 718, 137287. https://doi.org/10.1016/j.scitotenv.2020.137287
Barbarossa, C., De Pelsmacker, P., & Moons, I. (2017). Personal values, green self-identity and electric car adoption. Ecological Economics, 140, 190–200. https://doi.org/10.1016/j.ecolecon.2017.05.015
Bening, C. R., Kahlert, S., & Asiedu, E. (2022). The true cost of solving the plastic waste challenge in developing countries: The case of Ghana. Journal of Cleaner Production, 330, 129649. https://doi.org/10.1016/j.jclepro.2021.129649
Bernstad, A. (2014). Household food waste separation behavior and the importance of convenience. Waste Management, 34(7), 1317–1323. https://doi.org/10.1016/j.wasman.2014.03.013
Bilkey, W. J. (1953). A psychological approach to consumer behavior analysis. Journal of Marketing, 18(1), 18. https://doi.org/10.2307/1246865
Bissing-Olson, M. J., Fielding, K. S., & Iyer, A. (2016). Experiences of pride, not guilt, predict pro-environmental behavior when pro-environmental descriptive norms are more positive. Journal of Environmental Psychology, 45, 145–153. https://doi.org/10.1016/j.jenvp.2016.01.001
Cai, R., Leung, X. Y., & Chi, C. G. Q. (2022). Ghost kitchens on the rise: Effects of knowledge and perceived benefit-risk on customers’ behavioral intentions. International Journal of Hospitality Management, 101, 103110. https://doi.org/10.1016/j.ijhm.2021.103110
Charlesworth, J., Mullan, B., Howell, J., Tan, H., Abbott, B., & Potter, A. (2022). Exploring the role of perceived risk and habit in safe food-handling behaviour change. Food Control, 134, 108754. https://doi.org/10.1016/j.foodcont.2021.108754
Chatterjee, S., Chaudhuri, R., Vrontis, D., & Piccolo, R. (2021). Enterprise social network for knowledge sharing in MNCs: Examining the role of knowledge contributors and knowledge seekers for cross-country collaboration. Journal of International Management, 27(1), 100827. https://doi.org/10.1016/j.intman.2021.100827
Chatterjee, S., Chaudhuri, R., Vrontis, D., & Thrassou, A. (2022). SME entrepreneurship and digitalization – the potentialities and moderating role of demographic factors. Technological Forecasting and Social Change, 179, 121648. https://doi.org/10.1016/j.techfore.2022.121648
Chen, Y. F., & Wang, R. Y. (2016). Are humans rational? Exploring factors influencing impulse buying intention and continuous impulse buying intention. Journal of Consumer Behaviour, 15(2), 186–197. https://doi.org/10.1002/cb.1563
Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. Statistical Strategies for Small Sample Research, 1(1), 307–341.
Chin, W. W. (2010). Handbook of partial least squares. Handbook of partial least squares (pp. 655–656). https://doi.org/10.1007/978-3-540-32827-8
Chiras. (2004). Environmental science: Creating a sustainable future. Jones & Bartlett Learning.
Clapp, J., & Swanston, L. (2009). Doing away with plastic shopping bags: International patterns of norm emergence and policy implementation. Environmental Politics, 18(3), 315–332. https://doi.org/10.1080/09644010902823717
Costa Pinto, D., Nique, W. M., Maurer Herter, M., & Borges, A. (2016). Green consumers and their identities: How identities change the motivation for green consumption. International Journal of Consumer Studies, 40(6), 742–753. https://doi.org/10.1111/ijcs.12282
Cudjoe, D., Nketiah, E., Obuobi, B., Adjei, M., Zhu, B., & Adu-Gyamfi, G. (2022). Predicting waste sorting intention of residents of Jiangsu Province, China. Journal of Cleaner Production, 366, 132838. https://doi.org/10.1016/j.jclepro.2022.132838
Dhir, A., Malodia, S., Awan, U., Sakashita, M., & Kaur, P. (2021). Extended valence theory perspective on consumers’ e-waste recycling intentions in Japan. Journal of Cleaner Production, 312, 127443. https://doi.org/10.1016/j.jclepro.2021.127443
Dias, P., Bernardes, A. M., & Huda, N. (2018). Waste electrical and electronic equipment (WEEE) management: An analysis on the australian e-waste recycling scheme. Journal of Cleaner Production, 197, 750–764. https://doi.org/10.1016/j.jclepro.2018.06.161
DiGiacomo, A., Wu, D. W. L., Lenkic, P., Fraser, B., Zhao, J., & Kingstone, A. (2018). Convenience improves composting and recycling rates in high-density residential buildings. Journal of Environmental Planning and Management, 61(2), 309–331. https://doi.org/10.1080/09640568.2017.1305332
Dwivedy, M., & Mittal, R. K. (2013). Willingness of residents to participate in e-waste recycling in India. Environmental Development, 6(1), 48–68. https://doi.org/10.1016/j.envdev.2013.03.001
Fan, B., Yang, W., & Shen, X. (2019). A comparison study of ‘motivation–intention–behavior’ model on household solid waste sorting in China and Singapore. Journal of Cleaner Production, 211, 442–454. https://doi.org/10.1016/j.jclepro.2018.11.168
Fobil, J., & Hogarh, J. (2009). The dilemmas of plastic wastes in a developing economy: Proposals for a sustainable management approach for Ghana. West African Journal of Applied Ecology, 10(1). https://doi.org/10.4314/wajae.v10i1.45716
Fu, L., Sun, Z., Zha, L., Liu, F., He, L., Sun, X., & Jing, X. (2020). Environmental awareness and pro-environmental behavior within China’s road freight transportation industry: Moderating role of perceived policy effectiveness. Journal of Cleaner Production, 252, 119796. https://doi.org/10.1016/j.jclepro.2019.119796
Gorgievski, M. J., Stephan, U., Laguna, M., & Moriano, J. A. (2018). Predicting entrepreneurial career intentions: Values and the theory of planned behavior. Journal of Career Assessment, 26(3), 457–475. https://doi.org/10.1177/1069072717714541
Hair, J., Black, W., Babin, B., & Anderson, R. (2009). Multivariate data analysis. Prentice Hall.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-sem). Sage Publications.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
Hair, J. F., Jr., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017a). A primer on partial least squares structural equation modeling (PLS-SEM). Sage.
Hair, J. F., Jr., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017b). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107. https://doi.org/10.1504/ijmda.2017.10008574
Hair, J. F., Sarstedt, M., & Ringle, C. M. (2019). Rethinking some of the rethinking of partial least squares. European Journal of Marketing, 53(4), 566–584. https://doi.org/10.1108/EJM-10-2018-0665
Han, H., Meng, B., & Kim, W. (2017). Emerging bicycle tourism and the theory of planned behavior. Journal of Sustainable Tourism, 25(2), 292–309. https://doi.org/10.1080/09669582.2016.1202955
He, X., Zhan, W., & Hu, Y. (2018). Consumer purchase intention of electric vehicles in China: The roles of perception and personality. Journal of Cleaner Production, 204, 1060–1069. https://doi.org/10.1016/j.jclepro.2018.08.260
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Hinshaw, D. (2015). Ghana’s growth spurs uncontrollable trash. The Wall Street Journal. https://www.wsj.com/articles/ghanas-growth-spurs-uncontrollable-trash-1434928945
Holt, D. T., Armenakis, A. A., Harris, S. G., & Feild, H. S. (2007). Toward a comprehensive definition of readiness for change: A review of research and instrumentation. Research in Organizational Change and Development, 16, 289–336. https://doi.org/10.1016/S0897-3016(06)16009-7
Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. https://doi.org/10.1037/1082-989X.3.4.424
Kaur, P., Dhir, A., Singh, N., Sahu, G., & Almotairi, M. (2020). An innovation resistance theory perspective on mobile payment solutions. Journal of Retailing and Consumer Services, 55, 102059. https://doi.org/10.1016/j.jretconser.2020.102059
Kautish, P., & Sharma, R. (2019). Value orientation, green attitude and green behavioral intentions: An empirical investigation among young consumers. Young Consumers, 20(4), 338–358. https://doi.org/10.1108/YC-11-2018-0881
Kim, J. (2016). An extended technology acceptance model in behavioral intention toward hotel tablet apps with moderating effects of gender and age. International Journal of Contemporary Hospitality Management, 28(8), 1535–1553. https://doi.org/10.1108/IJCHM-06-2015-0289
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101
Krause, M. S., & Matzdorf, B. (2019). The intention of companies to invest in biodiversity and ecosystem services credits through an online-marketplace. Ecosystem Services, 40, 101026. https://doi.org/10.1016/j.ecoser.2019.101026
Kristiansen, S., & Indarti, N. (2004). Entrepreneurial intention among Indonesian and Norwegian students. Journal of Enterprising Culture, 12(01), 55–78. https://doi.org/10.1142/s021849580400004x
Kruse, P., Wach, D., Costa, S., & Moriano, J. A. (2019). Values matter, don’t they?–Combining theory of planned behavior and personal values as predictors of social entrepreneurial intention. Journal of Social Entrepreneurship, 10(1), 55–83. https://doi.org/10.1080/19420676.2018.1541003
Kumar, A. (2019). Exploring young adults’ e-waste recycling behaviour using an extended theory of planned behaviour model: A cross-cultural study. Resources, Conservation and Recycling, 141, 378–389. https://doi.org/10.1016/j.resconrec.2018.10.013
Lee, G., & Xia, W. (2010). Toward agile: An integrated analysis of quantitative and qualitative field data on software development agility. MIS Quarterly: Management Information Systems, 34(1), 87–114. https://doi.org/10.2307/20721416
Leguina, A. (2015). A primer on partial least squares structural equation modeling (PLS-SEM). International Journal of Research & Method in Education, 38(2), 220–221. https://doi.org/10.1080/1743727x.2015.1005806
Li, Y., Shi, X., Emrouznejad, A., & Liang, L. (2018). Environmental performance evaluation of Chinese industrial systems: A network SBM approach. Journal of the Operational Research Society, 69(6), 825–839. https://doi.org/10.1057/s41274-017-0257-9
Li, L., Long, X., Laubayeva, A., Cai, X., & Zhu, B. (2020). Behavioral intention of environmentally friendly agricultural food: The role of policy, perceived value, subjective norm. Environmental Science and Pollution Research, 27(15), 18949–18961. https://doi.org/10.1007/s11356-020-08261-x
Liao, C., Hong, J., & Zhao, D. (2019). Understanding corporate surplus food donation in China: Testing the roles of environmental concern, altruism, past experience, and perceived risk. Environmental Science and Pollution Research, 26(16), 16628–16640. https://doi.org/10.1007/s11356-019-05058-5
Mainardes, E. W., de Araujo, D. V. B., Lasso, S., & Andrade, D. M. (2017). Influences on the intention to buy organic food in an emerging market. Marketing Intelligence and Planning, 35(7), 858–876. https://doi.org/10.1108/MIP-04-2017-0067
Matiiuk, Y., & Liobikienė, G. (2021). The impact of informational, social, convenience and financial tools on waste sorting behavior: Assumptions and reflections of the real situation. Journal of Environmental Management, 297, 113323. https://doi.org/10.1016/j.jenvman.2021.113323
McDonald, S., & Ball, R. (1998). Public participation in plastics recycling schemes. Resources, Conservation and Recycling, 22(3–4), 123–141. https://doi.org/10.1016/S0921-3449(97)00044-X
Mohammadkhah, F., Shamsalinia, A., Shirinkam, F., Daneshnia, M., Mahmoudian, A., Rafiei, N., et al. (2021). Exploring COVID-19 anxiety in Iranian adult based on health literacy by moderating demographic variables: A structural equation model. Heliyon, 7(6), e07336. https://doi.org/10.1016/j.heliyon.2021.e07336
Molinillo, S., Aguilar-Illescas, R., Anaya-Sánchez, R., & Liébana-Cabanillas, F. (2021). Social commerce website design, perceived value and loyalty behavior intentions: The moderating roles of gender, age and frequency of use. Journal of Retailing and Consumer Services, 63, 102404. https://doi.org/10.1016/j.jretconser.2020.102404
Moss, E., Eidson, A., & Jambeck, J. (2017). Sea of opportunity: Supply chain investment opportunities to address marine plastic pollution (pp. 1–25). Encourage Capital on behalf of Vulcan Inc.
Nazir, M. U., Yasin, I., & Tat, H. H. (2021). Destination image’s mediating role between perceived risks, perceived constraints, and behavioral intention. Heliyon, 7(7), e07613. https://doi.org/10.1016/j.heliyon.2021.e07613
Nnorom, I. C., Ohakwe, J., & Osibanjo, O. (2009). Survey of willingness of residents to participate in electronic waste recycling in Nigeria - A case study of mobile phone recycling. Journal of Cleaner Production, 17(18), 1629–1637. https://doi.org/10.1016/j.jclepro.2009.08.009
Obuobi, B., Zhang, Y., Adu-Gyamfi, G., Nketiah, E., Grant, M. K., Adjei, M., & Cudjoe, D. (2022). Fruits and vegetable waste management behavior among retailers in Kumasi, Ghana. Journal of Retailing and Consumer Services, 67, 102971. https://doi.org/10.1016/j.jretconser.2022.102971
Oke, A., McDonald, S., & Korobilis-Magas, E. (2021). Demystifying the complexity and heterogeneity of recycling behavior in organizational settings: A mixed-methods approach. Waste Management, 136, 337–347. https://doi.org/10.1016/j.wasman.2021.10.020
Ozturk, A. B., Bilgihan, A., Salehi-Esfahani, S., & Hua, N. (2017). Understanding the mobile payment technology acceptance based on valence theory: A case of restaurant transactions. International Journal of Contemporary Hospitality Management, 29(8), 2027–2049. https://doi.org/10.1108/IJCHM-04-2016-0192
Panda, A. K., Singh, R. K., & Mishra, D. K. (2010). Thermolysis of waste plastics to liquid fuel. A suitable method for plastic waste management and manufacture of value added products-A world prospective. Renewable and Sustainable Energy Reviews, 14(1), 233–248. https://doi.org/10.1016/j.rser.2009.07.005
Park, J., Hong, E. P., & Le, H. T. (2021). Adopting autonomous vehicles: The moderating effects of demographic variables. Journal of Retailing and Consumer Services, 63, 102687. https://doi.org/10.1016/j.jretconser.2021.102687
Parrey, S. H., Hakim, I. A., & Rather, R. A. (2019). Mediating role of government initiatives and media influence between perceived risks and destination image: A study of conflict zone. International Journal of Tourism Cities, 5(1), 90–106. https://doi.org/10.1108/IJTC-02-2018-0019
Peter, J. P., & Tarpey, L. X., Sr. (1975). A comparative analysis of three consumer decision strategies. Journal of Consumer Research, 2(1), 29. https://doi.org/10.1086/208613
Proudlove, R., Finch, S., & Thomas, S. (2020). Factors influencing intention to invest in a community owned renewable energy initiative in Queensland, Australia. Energy Policy, 140, 111441. https://doi.org/10.1016/j.enpol.2020.111441
Raman, M., McLaughlin, K., Violato, C., Rostom, A., Allard, J. P., & Coderre, S. (2010). Teaching in small portions dispersed over time enhances long-term knowledge retention. Medical Teacher, 32(3), 250–255. https://doi.org/10.3109/01421590903197019
Ramasamy, S., Dara Singh, K. S., Amran, A., & Nejati, M. (2020). Linking human values to consumer CSR perception: The moderating role of consumer skepticism. Corporate Social Responsibility and Environmental Management, 27(4), 1958–1971. https://doi.org/10.1002/csr.1939
Ramayah, T., Lee, J. W. C., & Lim, S. (2012). Sustaining the environment through recycling: An empirical study. Journal of Environmental Management, 102(6), 141–147. https://doi.org/10.1016/j.jenvman.2012.02.025
Rasoolimanesh, S. M., Roldán, J. L., Jaafar, M., & Ramayah, T. (2017). Factors influencing residents’ perceptions toward tourism development: Differences across rural and urban world heritage sites. Journal of Travel Research, 56(6), 760–775. https://doi.org/10.1177/0047287516662354
Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). A critical look at the use of PLS-SEM in MIS quarterly. MIS Quarterly: Management Information Systems, 36(1), iii. https://doi.org/10.2307/41410402
Sang, Y. N., & Bekhet, H. A. (2015). Modelling electric vehicle usage intentions: An empirical study in Malaysia. Journal of Cleaner Production, 92, 75–83. https://doi.org/10.1016/j.jclepro.2014.12.045
Sarstedt, M., Hair, J. F., Cheah, J. H., Becker, J. M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197–211. https://doi.org/10.1016/j.ausmj.2019.05.003
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2022). Partial least squares structural equation modeling. Handbook of market research. Springer International Publishing. https://doi.org/10.1007/978-3-319-57413-4_15
Schuitema, G., Anable, J., Skippon, S., & Kinnear, N. (2013). The role of instrumental, hedonic and symbolic attributes in the intention to adopt electric vehicles. Transportation Research Part A: Policy and Practice, 48, 39–49. https://doi.org/10.1016/j.tra.2012.10.004
Schwartz, S. H. (1992). Universals in the content and structure of values: Theoretical advances and empirical tests in 20 countries. In Advances in experimental social psychology (Vol. 25, pp. 1–65). https://doi.org/10.1016/S0065-2601(08)60281-6
Schwartz, S. H. (2012). An overview of the Schwartz theory of basic values. Online Readings in Psychology and Culture, 2(1). https://doi.org/10.9707/2307-0919.1116
Shi, Jg., Xu, K., Si, H., Song, L., & Duan, K. (2021). Investigating intention and behaviour towards sorting household waste in Chinese rural and urban–rural integration areas. Journal of Cleaner Production, 298, 126827. https://doi.org/10.1016/j.jclepro.2021.126827
Sidique, S. F., Joshi, S. V., & Lupi, F. (2010). Factors influencing the rate of recycling: An analysis of Minnesota counties. Resources, Conservation and Recycling, 54(4), 242–249. https://doi.org/10.1016/j.resconrec.2009.08.006
Singh, M. P., Chakraborty, A., & Roy, M. (2018). Developing an extended theory of planned behavior model to explore circular economy readiness in manufacturing MSMEs, India. Resources, Conservation and Recycling, 135, 313–322. https://doi.org/10.1016/j.resconrec.2017.07.015
Souhrada, L. (1988). Reusables revisited as medical waste adds up. Hospitals, 62(20), 82.
Tan, L. P., Johnstone, M. L., & Yang, L. (2016). Barriers to green consumption behaviours: The roles of consumers’ green perceptions. Australasian Marketing Journal, 24(4), 288–299. https://doi.org/10.1016/j.ausmj.2016.08.001
Tewari, A., Mathur, S., Srivastava, S., & Gangwar, D. (2022). Examining the role of receptivity to green communication, altruism and openness to change on young consumers’ intention to purchase green apparel: A multi-analytical approach. Journal of Retailing and Consumer Services, 66, 102938. https://doi.org/10.1016/j.jretconser.2022.102938
Timlett, R. E., & Williams, I. D. (2009). The impact of transient populations on recycling behaviour in a densely populated urban environment. Resources, Conservation and Recycling, 53(9), 498–506. https://doi.org/10.1016/j.resconrec.2009.03.010
Tulashie, S. K., Boadu, E. K., & Dapaah, S. (2019). Plastic waste to fuel via pyrolysis: A key way to solving the severe plastic waste problem in Ghana. Thermal Science and Engineering Progress, 11, 417–424. https://doi.org/10.1016/j.tsep.2019.05.002
Tulashie, S. K., Boadu, E. K., Kotoka, F., & Mensah, D. (2020). Plastic wastes to pavement blocks: A significant alternative way to reducing plastic wastes generation and accumulation in Ghana. Construction and Building Materials, 241, 118044. https://doi.org/10.1016/j.conbuildmat.2020.118044
Tuokko, H. A., McGee, P., Gabriel, G., & Rhodes, R. E. (2007). Perception, attitudes and beliefs, and openness to change: Implications for older driver education. Accident Analysis and Prevention, 39(4), 812–817. https://doi.org/10.1016/j.aap.2006.12.002
Verma, V. K., Chandra, B., & Kumar, S. (2019). Values and ascribed responsibility to predict consumers’ attitude and concern towards green hotel visit intention. Journal of Business Research, 96, 206–216. https://doi.org/10.1016/j.jbusres.2018.11.021
Vert, M. (2011). Not any new functional polymer can be for medicine: What about artificial biopolymers? Macromolecular Bioscience, 11(12), 1653–1661. https://doi.org/10.1002/mabi.201100224
Wan, C., Shen, G. Q., & Choi, S. (2021). The place-based approach to recycling intention: Integrating place attachment into the extended theory of planned behavior. Resources, Conservation and Recycling, 169, 105549. https://doi.org/10.1016/j.resconrec.2021.105549
Wan, C., Shen, G. Q., & Choi, S. (2022). Pathways of place dependence and place identity influencing recycling in the extended theory of planned behavior. Journal of Environmental Psychology, 81, 101795. https://doi.org/10.1016/j.jenvp.2022.101795
Wang, Y., & Hazen, B. T. (2016). Consumer product knowledge and intention to purchase remanufactured products. International Journal of Production Economics, 181, 460–469. https://doi.org/10.1016/j.ijpe.2015.08.031
Wang, Q., Sun, X., Cobb, S., Lawson, G., & Sharples, S. (2016). 3D printing system: An innovation for small-scale manufacturing in home settings? – early adopters of 3D printing systems in China. International Journal of Production Research, 54(20), 6017–6032. https://doi.org/10.1080/00207543.2016.1154211
Xiong, X., Yu, I. K. M., Tsang, D. C. W., Bolan, N. S., Sik Ok, Y., Igalavithana, A. D., et al. (2019). Value-added chemicals from food supply chain wastes: State-of-the-art review and future prospects. Chemical Engineering Journal, 375, 121983. https://doi.org/10.1016/j.cej.2019.121983
Xu, X., Wang, S., & Yu, Y. (2020). Consumer’s intention to purchase green furniture: Do health consciousness and environmental awareness matter? Science of the Total Environment, 704, 135275. https://doi.org/10.1016/j.scitotenv.2019.135275
Yadav, R., & Pathak, G. S. (2017). Determinants of consumers’ green purchase behavior in a developing nation: Applying and extending the theory of planned behavior. Ecological Economics, 134, 114–122. https://doi.org/10.1016/j.ecolecon.2016.12.019
Yang, J., Bertram, J., Schettgen, T., Heitland, P., Fischer, D., Seidu, F., et al. (2020). Arsenic burden in e-waste recycling workers – A cross-sectional study at the Agbogbloshie e-waste recycling site, Ghana. Chemosphere, 261, 127712.
Yu, T. K., Lin, F. Y., Kao, K. Y., Chao, C. M., & Yu, T. Y. (2019). An innovative environmental citizen behavior model: Recycling intention as climate change mitigation strategies. Journal of Environmental Management, 247, 499–508. https://doi.org/10.1016/j.jenvman.2019.06.101
Zhang, B., Lai, Kh., Wang, B., & Wang, Z. (2019). From intention to action: How do personal attitudes, facilities accessibility, and government stimulus matter for household waste sorting? Journal of Environmental Management, 233, 447–458. https://doi.org/10.1016/j.jenvman.2018.12.059
Zhu, M., Hu, X., Lin, Z., Li, J., Wang, S., & Wang, C. (2020). Intention to adopt bicycle-sharing in China: Introducing environmental concern into the theory of planned behavior model. Environmental Science and Pollution Research, 27(33), 41740–41750. https://doi.org/10.1007/s11356-020-10135-1
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix 1
Appendix 1
Variable | Measurement items | Citation | |
|---|---|---|---|
Openness to change | OTC1 | 1. I always look for new things and surprises in life | (Xu et al., 2020) |
OTC2 | 2. If I became aware I was engaging in unrecyclable habits, changing them could reduce environmental pollution | ||
OTC3 | 3. Changing when/where to recycle plastic waste is (possible, not possible because; recyclable areas are not available, recyclable areas are not convenient) | ||
Environmental concern | ENC1 | 1. I have read newsletters, magazines, or other publications written by environmental groups | |
ENC2 | 2. I have signed a petition in support of protecting the environment | ||
ENC3 | 3. I have given money to an environmental group | ||
ENC4 | 4. I have boycotted or avoided buying products from a company because I felt that company was harming the environment | ||
Perceived risk | PCR1 | 1. It is hard to find a plastic waste collection center | (Dhir et al., 2021; Nazir et al., 2021; Parrey et al., 2019) |
PCR2 | 2. Plastic waste recycling is inconvenient for me | ||
PCR3 | 3. Plastic waste recycling does not provide me with monetary benefits | ||
PCR4 | 4. Plastic waste recycling may lead to human health effects | ||
Perceived benefit | PCB1 | 1. I believe that recycling plastic waste will help improve environmental quality | |
PCB2 | 2. Plastic waste recycling will help to reduce demand for raw material | ||
PCB3 | 3 Plastic waste recycling helps in conserving natural resources | ||
PCB4 | 4. Plastic waste recycling helps tackle employment | ||
Convenience of available recycling infrastructure | COV1 | 1. I am familiar with my area's plastic waste recycling facilities | (Ramayah et al., 2012) |
COV2 | 2. I am familiar with the plastic waste accepted for recycling in the recycling facilities in my area | ||
COV3 | 3. For me, plastic waste recycling facilities in my area are not complicated | ||
COV4 | 4. It is easy to find plastic waste recycling facilities in my area | ||
Intention to recycle | INT1 | 1. I intend to put extra effort into recycling my plastic waste | |
INT2 | 2. I am willing to speak to my friends about appropriate methods of disposing of plastic waste | ||
INT3 | 3. I am willing to spend some time taking my plastic waste to be recycled | ||
INT4 | 4. I am interested in plastic waste recycling initiatives | ||
Recycling behavior | BHV1 | 1. I usually separate and dispose of all plastic waste materials | |
BHV2 | 2. I have high involvement in plastic waste recycling activities | ||
BHV3 | 3. I have a high adherence level to separation and disposable of plastic waste materials | ||
BHV4 | 4. Recycling has become an expected behavior to me | ||
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Adjei, M., Song, H., Nketiah, E. et al. Waste management: Forecasting residents’ plastic waste recycling intention and behavior in Ghana. Curr Psychol 42, 30987–31003 (2023). https://doi.org/10.1007/s12144-022-04056-0
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12144-022-04056-0