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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Economic assessment of indigenous leafy vegetables (ILVs) production for income generation and food income generation and food security in the Eastern Cape Province, South Africa

Mayekiso, Anele January 2021 (has links)
Thesis (Ph.D. (Agricultural Economics )) -- University of Limpopo, 2021 / Regardless of the strategies adopted globally and nationwide to fight food insecurity within communities, particularly in the rural context, poverty becomes a major constituent which translates to most rural households experiencing food insecurity shocks. Given the high unemployment rate in South Africa which triggers several household’s vulnerability to food insecurity, the country has diverse natural resources which include indigenous plants such as Indigenous Leafy Vegetables (ILVs), which can be used as food and for business purposes by its residents. Irrespective of the diversity of ILVs in South Africa, there is a significant decline in the production and consumption of ILVs particularly in rural areas where these vegetables are mostly available. In addition, production and consumption of ILVs may not only address food insecurity but these vegetables may benefit households through the income obtained from their sales. The income generated from sales of ILVs may therefore assist towards improving and sustaining rural livelihood needs. Given this background information, the study aimed at assessing ILV production for income generation and food security among rural households in the Eastern Cape Province (ECP) of South Africa. The study was conducted within the three district municipalities of the ECP which were selected because statistics report these districts to be the most affected areas by poverty within the province. These districts are OR Tambo District Municipality (ORTDM), Alfred Nzo District Municipality (ANDM) and Joe Gqabi District Municipality (JGDM). Multistage and proportional random sampling procedures were employed to select households which could participate in the study. Thus, 407 households within these three (3) districts municipalities were used for the purposes of the study. The study also included interviewing role players within the ILV production value chain, thus a snowball sampling procedure was used to select role players. Sixteen hawkers and three input suppliers were interviewed from the three district municipalities. In addition, from the 407 households that were interviewed, 260 households from the three district municipalities reported to be producers of ILVs. A structured questionnaire was therefore used to collect pertaining data allied in achieving the aim of the study. The collected data was captured using Excel 2016, after data cleaning, it was then exported to Statistical Package for Social Sciences (SPSS) version 25 for analysis. Numerous analytical models were used from SPSS 25. For instance, to identify and describe socio-economic characteristics of households, to assess the most produced ILVs from the study areas and to identify role players within the ILV production value chain, descriptive statistics in a form of means, percentages, frequencies, and standard deviation was used. To determine factors which influence production of ILVs, a Binary Logistic Regression Model was used. A Multinomial Logistic Regression model was used to determine factors which influence different uses of ILVs by households and to determine factors influencing food security status among households. A gross margin analysis was used to estimate viability from each ILV produced, harvested and sold, while Household Food Insecurity Access Scale (HFIAS) was used to measure food security status among households. Lastly, a correlation matrix was also used to determine the relationship between the role players and their functions among the ILV production value chain. Based on the results, the study therefore concluded that, from the three district municipalities used in the study, there are various ILVs growing naturally and produced. The production of ILVs from these municipalities is habituated by socio economic characteristics of households, wherein households use ILVs for various purposes which include these vegetables as source of food, medicine and livestock feed. The use of ILVs among households is influenced by socio-economic characteristics and seasonal availability of ILVs in ORTDM, while in ANDM and JGDM, the use of ILVs by households is conditioned by socio-economic characteristics of households, knowledge/ awareness related to nutrition and health benefits of ILVs and seasonal production of ILVs. Furthermore, this research concludes that, ILVs have a potential of diversifying diets and addressing food insecurity problems within rural parts of the three districts. Given the positive gross margins from the three districts, production and selling of ILVs has a potential to contribute to rural household income. Lastly, the study concludes that, the ILV production value chain system lacks governmental support in the form of institutional engagement since there is no evidence of extension officer support from these three district municipalities concerning ILVs production. To this end, the study recommends that, policy makers should further establish inclusion of ILVs in both farming and food systems. Also, government and related institutions which focus on sustainable rural development must intervene in promoting production of ILVs particularly within rural contexts since production of these vegetables may alleviate poverty through job creation, addressing food insecurity and income generation. Thus, a successful intervention of government and policy makers in ILV production would have a potential of translating to sustainable rural livelihoods / National Research Foundation (NRF)
2

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

Nengovhela, Rudzani January 2022 (has links)
Thesis (Ph.D. Agricultural (Agricultural Economics)) -- University of Limpopo, 2022 / 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. / NRF-DAAD

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