TY - JOUR
T1 - Assessing how load-shedding affects the generation of household food waste in Merafong City Local Municipality, South Africa
AU - Dlamini, N. S.
AU - Rampedi, I. T.
AU - Kwenda, P. R.
N1 - Publisher Copyright:
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024
Y1 - 2024
N2 - 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 < 0.05, Cramer’s V = 0.355), monthly income (χ2= 76.0, p = <0.001 < 0.05, Cramer’s V = 0.381), and the number of people living in the household (χ2= 38.8, p = 0.029 < 0.05, Cramer’s V = 0.304) with the contribution of load-shedding to household food waste. Overall, the study has identified the contribution of loadshedding on food waste generation. It is thus imperative for future studies to not only quantify the impact of loadshedding on food waste generation in Merafong but to also develop strategies to mitigate these negative effects on communities.
AB - 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 < 0.05, Cramer’s V = 0.355), monthly income (χ2= 76.0, p = <0.001 < 0.05, Cramer’s V = 0.381), and the number of people living in the household (χ2= 38.8, p = 0.029 < 0.05, Cramer’s V = 0.304) with the contribution of load-shedding to household food waste. Overall, the study has identified the contribution of loadshedding on food waste generation. It is thus imperative for future studies to not only quantify the impact of loadshedding on food waste generation in Merafong but to also develop strategies to mitigate these negative effects on communities.
KW - food loss
KW - Food waste
KW - load-shedding
KW - socio-economic factors
KW - survey
UR - http://www.scopus.com/inward/record.url?scp=85205685866&partnerID=8YFLogxK
U2 - 10.1080/0376835X.2024.2408364
DO - 10.1080/0376835X.2024.2408364
M3 - Article
AN - SCOPUS:85205685866
SN - 0376-835X
JO - Development Southern Africa
JF - Development Southern Africa
ER -