Analysing food security among rural households of Capricorn and Mopani Districts, Limpopo Province , South Africa

Abstract

Regardless of the various measures implemented by the South African government to curb food insecurity, majority of rural households are still experiencing food insecurity at the household level. This could be because of the high unemployment rate that the rural households are experiencing, especially in the Limpopo Province. Despite rural household members exerting frantic efforts to acquire education, most of them still find it difficult to secure jobs, which results in them depending on social grants for a living. Still, social grant money alone is not enough to meet their entire families’ needs, including food acquisition. The aim of the study was to analyse food security looking at four dimensions, namely, food availability, access, utilisation, and stability among rural households of Capricorn and Mopani Districts in the Limpopo Province of South Africa. Only two district municipalities in the Limpopo Province, namely, Mopani and Capricorn Districts, were chosen as areas of study. The two district municipalities were chosen because, previous studies and reviews reported that these municipalities are the most affected districts by food insecurity shocks in the Limpopo Province. The study used a cross-sectional survey, where a Multistage sampling procedure was employed. The villages were selected based on probability proportionate to size. The study considered a total of 346 rural households, comprising 173 rural households in each district municipality. A structured questionnaire was used as an instrument to collect data from rural households in the study area. In addition, the collected data was captured using Excel 16. Thereafter, the data was exported to SPSS Version 27 for analysis. Furthermore, to profile the socio-economic characteristics of households, assess food consumption patterns and identify the strategies employed to enhance household food security, descriptive statistics was used. To determine the food security status of rural households in the study areas, the four dimensions of food security were analysed separately. For instance, food availability was analysed using descriptive statistics whereas food accessibility was analysed using Household Food Insecurity Access Scale [HFIAS]. The HFIAS was also used to identify the food security status while Household Dietary Diversity Score [HDDS] was used to measure food utilisation. To measure food stability, a Likert Scale [LS] and descriptive statistics were used. Multiple Linear Regression Models [MRM] were used to determine the factors that influenced rural households’ food security status. On the other hand, the Multinomial Logistic Regression Model [MLRM] was used to examine the determinants of food security among rural households of Capricorn and Mopani district municipalities. The descriptive results established that most rural households from both Mopani District Municipality [MDM] and Capricorn District Municipality [CDM] consume different food groups. In this regard, a minority of rural households are classified as dietary diverse whereas a majority of rural households are still characterised as less dietary diverse due to the limited consumption of different food groups. This reveals that these households range from less food secure to moderate food secure, as illustrated by the food security results. Moreover, the descriptive results also indicated that a majority of rural households in MDM are classified as severely food insecure and that food stability was the component contributing to these households being severely food insecure. As for CDM rural households, the results showed that a majority of these rural households were moderately food insecure with food availability and food stability being the contributing component at CDM. The Multiple linear Regression Model [MRM] results in MDM revealed that the age of the household head, remittances, and access to credit positively influenced food security status. On the other hand, the Multinomial Logistic Regression Model [MLRM] results in MDM revealed that the age of household head, household income greater than R1000, household income between R1099 to R1999, household income between R4000 to R4999, income from salary and access to credit, negatively influence food insecurity status. The Multiple Linear Regression Model confirmed that the male headed households, age of household head, wages, employment status and household income negatively influence food security status in CDM. On the contrary, MLRM results revealed that gender of household head, income from wages, income from salary, old age pension grant, child support grant, household income above R1000 and access to credit for borrowing money positively influenced the food security status of rural households in CDM. In light of this, the study recommends that health practitioners should educate rural households about healthy eating habits and that having a variety of nutritious food type may increase food security. The Department of Agriculture should advise rural households to participate primarily in subsistence farming and that they should focus their agriculture on crops and livestock. This will enable them to enjoy diverse and balanced diets. In addition, the government should empower rural households to participate in development programmes. This may assist households to improve their livelihoods and may also lead to diverse sources of income, which may enhance food security. Furthermore, the government can further assist rural households by providing production inputs (such as seeds/seedlings, fertilizers, and water for irrigation), which may promote food availability, utilisation and accessibility.