Emerging information on the interactions between the COVID-19 pandemic and global food systems have highlighted how the pandemic is accentuating food crises across Africa. Less clear, however, are how the impacts differ between farming systems. Drawing on 50 key informant interviews with farmers, village leaders and extension officers in South Africa and Tanzania, we identify the effects of COVID-19 and associated measures to curb the spread of the disease on farming production systems, the coping mechanisms adopted by farmers, and explore their longer-term plans for adaptation. We focus on a diverse range of production systems, from small-scale mixed farming systems in Tanzania to large-scale corporate farms in South Africa. Our findings highlight how COVID-19 restrictions have interrupted the supply chains of agricultural inputs and commodities, increasing the storage time for produce, decreasing income and purchasing power, and reducing labour availability. Farmers’ responses were heterogeneous, with highly diverse small-scale farming systems and those less engaged with international markets least affected by the associated COVID-19 measures. Large-scale farmers were most able to access capital to buffer short-term impacts, whereas smaller-scale farms shared labour, diversified to subsistence produce and sold assets. However, compounded shocks, such as recent extreme climate events, limited the available coping options, particularly for smaller-scale and emerging farmers. The study highlights the need to understand the characteristics of farm systems to better equip and support farmers, particularly in contexts of uncertainty. We propose that policy actions should focus on (i) providing temporary relief and social support and protection to financially vulnerable stakeholders, (ii) job assurance for farmworkers and engaging an alternative workforce in farming, (iii) investing in farming infrastructure, such as storage facilities, digital communication tools and extension services, and (iv) supporting diversified agroecological farming systems.
Indigenous crops, through their high nutritional value and hardy attributes, offer potential trade opportunities for rural farmers. There is a niche market that can be explored for these indigenous crops particularly with the growing demand for high nutritional value food in the country. These crops are mostly produced by rural households or gathered from the wild by rural farmers. Thus, the purpose of this study was to identify potential markets for African leafy vegetables (ALVs) by farmers in Limpopo Province. Sixty households producing ALVs were selected with the composition of 54 women and six men, with this selection done using a purposive sampling procedure. Of the total production, 50–60% of the produce was sold in the informal market. It was evident that local rural markets constituted a greater portion of the total market at 73% and 20% allocated to hawkers in town. As a result, urban and periurban consumers present potential buyers since these areas are populated with the middle-class population which is susceptible to changing consumption trends. Because of this potential, supermarkets and township hawkers are proposed as the potential channel for ALVs targeting the identified population. Thus, it is suggested that, in order to create a synergy between economic improvement of rural farmers and trending consumer demands, the Department of Agriculture in Limpopo Province creates a conducive environment through which ALV farmers can be connected with supermarkets and township marketers.
Climate change will put millions more people in Africa at risk of food and nutrition insecurity by 2050. Integrated assessments of food systems tend to be limited by either heavy reliance on models or a lack of information on food and nutrition security. Accordingly, we developed a novel integrated assessment framework that combines models with in-country knowledge and expert academic judgement to explore climate-smart and nutrition-secure food system futures: the integrated Future Estimator for Emissions and Diets (iFEED). Here, we describe iFEED and present its application in Malawi, South Africa, Tanzania and Zambia. The iFEED process begins with a participatory scenario workshop. In-country stakeholders identify two key drivers of food system change, and from these, four possible scenarios are defined. These scenarios provide the underlying narratives of change to the food system. Integrated modeling of climate change, food production and greenhouse gas emissions is then used to explore nutrition security and climate-smart agriculture outcomes for each scenario. Model results are summarized using calibrated statements—quantitative statements of model outcomes and our confidence in them. These include statements about the way in which different trade futures interact with climate change and domestic production in determining nutrition security at the national level. To understand what the model results mean for food systems, the calibrated statements are expanded upon using implication statements. The implications rely on input from a wide range of academic experts—including agro-ecologists and social scientists. A series of workshops are used to incorporate in-country expertise, identifying any gaps in knowledge and summarizing information for country-level recommendations. iFEED stakeholder champions help throughout by providing in-country expertise and disseminating knowledge to policy makers. iFEED has numerous novel aspects that can be used and developed in future work. It provides information to support evidence-based decisions for a climate-smart and nutrition-secure future. In particular, iFEED: (i) employs novel and inclusive reporting of model results and associated in-country food system activities, with comprehensive reporting of uncertainty; (ii) includes climate change mitigation alongside adaptation measures; and (iii) quantifies future population-level nutrition security, as opposed to simply assessing future production and food security implications.
The objective of this study was to determine factors affecting smallholder cattle farmers’ participation in high-value cattle markets in the Ngaka Modiri Molema District, South Africa. A total of 109 smallholder cattle farmers were randomly selected and interviewed by using structured questionnaire. Descriptive and probit regression analysis were performed using the Statistical Package for Social Science. The results revealed that the majority of the farmers: were males, married, not formally educated, had less than 10years of cattle farming experience, did not participate in the most rewarding channels, used informal markets, received higher prices from the cattle markets nearer and regularly used. The statistically significant variables found to influence the cattle farmers’ participation in the high value formal markets from the probit regression analyses were number of heifers (Z=2.742: Sig. 0.006), keep farm-records (Z=2.611: Sig. 0.009), years in cattle farming (Z=-2.451: Sig. 0.014), and slaughtering cattle and selling as carcass (Z=-1.899: Sig. 0.054)
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