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Applying the Theory of Planned Behavior to recycling behavior in South Africa

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dc.contributor.author Strydom, Wilma F
dc.date.accessioned 2018-09-20T14:14:38Z
dc.date.available 2018-09-20T14:14:38Z
dc.date.issued 2018-09
dc.identifier.citation Strydom, W.F. 2018. Applying the Theory of Planned Behavior to recycling behavior in South Africa. Recycling, vol. 3(3): 1-20 en_US
dc.identifier.issn 2313-4321
dc.identifier.uri http://www.mdpi.com/2313-4321/3/3/43
dc.identifier.uri https://doi.org/10.3390/recycling3030043
dc.identifier.uri http://hdl.handle.net/10204/10411
dc.description This is an Open Access article. en_US
dc.description.abstract This paper reports on an application of the Theory of Planned Behavior to understand the relationships between the determinants (latent variables) comprising the Theory of Planned Behavior and, based on these findings, to guide decision-making related to household recycling in South Africa. Data from a representative sample of respondents in large urban areas (n = 2004) was analyzed using Structural Equation Modeling (SEM). The results of the SEM analysis showed a good fit of the survey data to the Theory of Planned Behavior theoretical model. The Theory of Planned Behavior explains 26.4% of the variance in recycling behavior and 46.4% of the variance in intention to recycle. Only 3.3% of South Africans in large urban areas show dedicated recycling behavior, considering the recycling of five materials: paper, plastic, glass, metal, and compostable organic waste. The recycling frequency item in the recycling behavior construct is the most likely to be over-reported. South Africans lack sufficient knowledge, positive attitudes, social pressure, and perceived control that would encourage recycling behavior. Awareness drives containing moral values (injunctive norms) and information about available recycling schemes, combined with the provision of a curbside collection service for recyclables, have the greatest chance to positively influence recycling behavior amongst South Africa’s city dwellers. en_US
dc.language.iso en en_US
dc.publisher MDPI AG en_US
dc.relation.ispartofseries Worklist;21321
dc.subject Recycling behavior en_US
dc.subject Theory of Planned Behavior en_US
dc.subject TPB en_US
dc.subject Structural Equation Modeling en_US
dc.subject SEM en_US
dc.subject South Africa en_US
dc.title Applying the Theory of Planned Behavior to recycling behavior in South Africa en_US
dc.type Article en_US
dc.identifier.apacitation Strydom, W. F. (2018). Applying the Theory of Planned Behavior to recycling behavior in South Africa. http://hdl.handle.net/10204/10411 en_ZA
dc.identifier.chicagocitation Strydom, Wilma F "Applying the Theory of Planned Behavior to recycling behavior in South Africa." (2018) http://hdl.handle.net/10204/10411 en_ZA
dc.identifier.vancouvercitation Strydom WF. Applying the Theory of Planned Behavior to recycling behavior in South Africa. 2018; http://hdl.handle.net/10204/10411. en_ZA
dc.identifier.ris TY - Article AU - Strydom, Wilma F AB - This paper reports on an application of the Theory of Planned Behavior to understand the relationships between the determinants (latent variables) comprising the Theory of Planned Behavior and, based on these findings, to guide decision-making related to household recycling in South Africa. Data from a representative sample of respondents in large urban areas (n = 2004) was analyzed using Structural Equation Modeling (SEM). The results of the SEM analysis showed a good fit of the survey data to the Theory of Planned Behavior theoretical model. The Theory of Planned Behavior explains 26.4% of the variance in recycling behavior and 46.4% of the variance in intention to recycle. Only 3.3% of South Africans in large urban areas show dedicated recycling behavior, considering the recycling of five materials: paper, plastic, glass, metal, and compostable organic waste. The recycling frequency item in the recycling behavior construct is the most likely to be over-reported. South Africans lack sufficient knowledge, positive attitudes, social pressure, and perceived control that would encourage recycling behavior. Awareness drives containing moral values (injunctive norms) and information about available recycling schemes, combined with the provision of a curbside collection service for recyclables, have the greatest chance to positively influence recycling behavior amongst South Africa’s city dwellers. DA - 2018-09 DB - ResearchSpace DP - CSIR KW - Recycling behavior KW - Theory of Planned Behavior KW - TPB KW - Structural Equation Modeling KW - SEM KW - South Africa LK - https://researchspace.csir.co.za PY - 2018 SM - 2313-4321 T1 - Applying the Theory of Planned Behavior to recycling behavior in South Africa TI - Applying the Theory of Planned Behavior to recycling behavior in South Africa UR - http://hdl.handle.net/10204/10411 ER - en_ZA


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