Assessing how load-shedding affects the generation of household food waste in Merafong City Local Municipality, South Africa

The present study investigated levels of awareness about the impact of loadshedding on the generation of household food wastes in Merafong City Local Municipality in South Africa. The research also assessed the statistical associations between socio-economic factors and food waste generation due to load-shedding. The stratified systematic sampling approach was used to select 105 survey participants. Face-to-face interviews were conducted by means of a questionnaire. The survey data were captured in Microsoft Excel (SPSS) and analysed using the Chi-squared (χ2) test and descriptive statistics. The study findings revealed a very strong association between type of settlement (χ2 = 39.8, p = 0.002

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Publication Details

Journal
Development Southern Africa
Published
2024-10-07
DOI
https://doi.org/10.1080/0376835x.2024.2408364
Citations
3
Primary Topic
Food Waste Reduction and Sustainability
Type
article
Field-Weighted Citation Impact
1.05
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article

Assessing how load-shedding affects the generation of household food waste in Merafong City Local Municipality, South Africa

Phyllis Rumbidzai Kwenda, N. S. Dlamini, Isaac Tebogo Rampedi
3 citations
Development Southern Africa
Food Waste Reduction and Sustainability
1.05
article

Assessing how load-shedding affects the generation of household food waste in Merafong City Local Municipality, South Africa

Phyllis Rumbidzai Kwenda, N. S. Dlamini, Isaac Tebogo Rampedi
article en
3 citations

Abstract

The present study investigated levels of awareness about the impact of loadshedding on the generation of household food wastes in Merafong City Local Municipality in South Africa. The research also assessed the statistical associations between socio-economic factors and food waste generation due to load-shedding. The stratified systematic sampling approach was used to select 105 survey participants. Face-to-face interviews were conducted by means of a questionnaire. The survey data were captured in Microsoft Excel (SPSS) and analysed using the Chi-squared (χ2) test and descriptive statistics. The study findings revealed a very strong association between type of settlement (χ2 = 39.8, p = 0.002

Development Southern AfricaVol. 42(1)
University of Johannesburg (ZA)
Zero hunger
Openalex Percentile: Top 23%
Food Waste Reduction and Sustainability
1.05
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