Drivers of Household Recycling Behavior in the City of Johannesburg, South Africa
Bibliographic Data
| ID | 15464263 |
|---|---|
| Authors | Thea Schoeman (0000-0002-5831-4550, University of Johannesburg), Isaac T Rampedi (0000-0002-1868-8486, University of Johannesburg, corresponding author) |
| Year | 2022 |
| Volume | 19 |
| Issue | 10 |
| Pages | 6229-6229 |
| Publication date | 2022-05-20 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph19106229 |
| PMID | 35627763 |
| OpenAlex | W4280539335 |
| Language | EN |
| Citations received | 3 |
| References cited | 54 |
This paper has assessed the relationship between recycling behavior and socio-demographic variables for households in Johannesburg, South Africa. The research also identified the underlying driving factors that motivate recyclers to separate their household waste for recycling. These objectives were addressed by means of a quantitative survey research design as well as descriptive and inferential statistical methods. Based on the results, the statements that represented attitudes, subjective norms, perceived control, moral norms, situational factors, outcomes, and consequences of recycling were highly agreed to by respondents. Three factors influencing household recycling behavior were identified, namely, recycling benefits, perceived control, and situational variables. The recycling benefits construct explained 45.6% of the variance, followed by the perceived control construct (12%) and the situational variables construct explained 11% of the variance. However, the results of the EFA and multiple regression identified the situational variable as the greatest single driver of household participation in recycling. It is therefore important to overcome situational barriers that the residents of Johannesburg are currently facing if the current household waste separating program is to become successful. This would require simplifying the process of household recycling by providing appropriate knowledge, infrastructure, and the space for waste sorting and its collection
Business · Construct (python library · Control (management · Descriptive statistics · Economics · Household waste · Regression analysis · Situational ethics · Socioeconomics · Statistics · Theory of planned behavior · Variable (mathematics · Variables · Variance (accounting · Computer Science · Engineering · Environmental Education and Sustainability · Healthcare and Environmental Waste Management · Mathematics · Municipal Solid Waste Management · Psychology · Social Psychology · Marketing
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| Citations per year | 1.5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |