Applying the Theory of Planned Behavior to Recycling Behavior in South Africa
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 fro...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-09-01
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| Series: | Recycling |
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| Online Access: | http://www.mdpi.com/2313-4321/3/3/43 |
| _version_ | 1819142144072351744 |
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| author | Wilma F. Strydom |
| author_facet | Wilma F. Strydom |
| author_sort | Wilma F. Strydom |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T12:05:40Z |
| format | Article |
| id | doaj.art-b7761be757d240c8a9190043c736c920 |
| institution | Directory Open Access Journal |
| issn | 2313-4321 |
| language | English |
| last_indexed | 2024-12-22T12:05:40Z |
| publishDate | 2018-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Recycling |
| spelling | doaj.art-b7761be757d240c8a9190043c736c9202022-12-21T18:26:27ZengMDPI AGRecycling2313-43212018-09-013343010.3390/recycling3030043recycling3030043Applying the Theory of Planned Behavior to Recycling Behavior in South AfricaWilma F. Strydom0Natural Resources and the Environment, Council for Scientific and Industrial Research, P.O. Box 395, Pretoria 0001, South AfricaThis 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.http://www.mdpi.com/2313-4321/3/3/43recycling behaviorTheory of Planned Behavior (TPB)Structural Equation Modeling (SEM)South Africa |
| spellingShingle | Wilma F. Strydom Applying the Theory of Planned Behavior to Recycling Behavior in South Africa Recycling recycling behavior Theory of Planned Behavior (TPB) Structural Equation Modeling (SEM) South Africa |
| title | Applying the Theory of Planned Behavior to Recycling Behavior in South Africa |
| title_full | Applying the Theory of Planned Behavior to Recycling Behavior in South Africa |
| title_fullStr | Applying the Theory of Planned Behavior to Recycling Behavior in South Africa |
| title_full_unstemmed | Applying the Theory of Planned Behavior to Recycling Behavior in South Africa |
| title_short | Applying the Theory of Planned Behavior to Recycling Behavior in South Africa |
| title_sort | applying the theory of planned behavior to recycling behavior in south africa |
| topic | recycling behavior Theory of Planned Behavior (TPB) Structural Equation Modeling (SEM) South Africa |
| url | http://www.mdpi.com/2313-4321/3/3/43 |
| work_keys_str_mv | AT wilmafstrydom applyingthetheoryofplannedbehaviortorecyclingbehaviorinsouthafrica |