dc.contributor.author |
Strydom, Wilma F
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|
dc.date.accessioned |
2018-09-20T14:14:38Z |
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dc.date.available |
2018-09-20T14:14:38Z |
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dc.date.issued |
2018-09 |
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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 |
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dc.identifier.uri |
http://www.mdpi.com/2313-4321/3/3/43
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|
dc.identifier.uri |
https://doi.org/10.3390/recycling3030043
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|
dc.identifier.uri |
http://hdl.handle.net/10204/10411
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|
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 -
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en_ZA |