Impacts of COVID-19 on Diverse Farm Systems in Tanzania and South Africa

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.

Impacts of COVID-19 on Diverse Farm Systems in Tanzania and South Africa

Emerging information on the interactions between the COVID-19 pandemic and global food systems has 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.

Determinants of corporate social responsibility among farms in Russia and Kazakhstan: a multilevel approach using survey data

Building on the institutional theory of corporate social responsibility (CSR) and research on CSR in the agriculture of post-Soviet transition economies, the present paper investigates the institutional, organizational and individual factors of farm engagement in CSR activities. Based on a survey of 800 farms in Russia and Kazakhstan, the interaction between the farms’ social role and multilevel institutional characteristics is addressed. We observe notable positive effects of local labor sourcing, insecure land use conditions and farm size (in terms of land area) on farms’ CSR engagement. Individually owned farms, as opposed to corporate farms, tend to be more CSR affine. In addition, we find weak statistical evidence of CSR engagement among the farms affiliated with agroholdings. We discuss the results in the context of different levels of CSR analysis.

A typology of corporate and family dairy farms in eastern Goiás, Brazil

ABSTRACT: This study aimed to identify a typology of corporate and family dairy farms in eastern Goiás, Brazil. A semi-structured questionnaire was administered to 170 farm operators in the municipalities of Cristalina, Luziânia, and Silvânia. Dairy farms were categorized into two groups, corporate and family farms. Data were analyzed by exploratory factor analysis using principal component analysis extraction. Four factors were identified: Milking management (F1), Production scale (F2), Productivity (F3), and Sociodemographic characteristics (F4). Corporate and family farms were then compared in terms of factor scores. Corporate farms scored higher on F1 and F2 and were characterized by larger production scale, greater adoption of milking management and hygiene practices; and consequently, greater alignment with institutional and market demands. These results indicated that corporate dairy farms in eastern Goiás have higher sustainability and are more likely to remain in business than family dairy farms.

Employment and income effects of Nigeria’s Agricultural Transformation Agenda

Purpose The purpose of this paper is to investigate how the development of cattle value chain can influence employment creation and income of both cattle farmers and merchants. The study focusses on cattle farmers in Lagos, Ogun and Oyo States where there are the largest cattle farms and live cattle merchants in Southern Nigeria. Design/methodology/approach It employs a research approach that uses key informant interviews and structured questionnaire in garnering needed information from cattle farms, abattoirs and merchant. Findings The results suggest that with some minimal supports, employment creation and income generation can be improved. Originality/value None of the reviewed empirical studies is specific to the cattle value chain in South Western Nigeria. Among other values, the study identifies employment and income opportunities in corporate and non-corporate farms in the cattle value chain in South Western Nigeria.

On the diversity of the effects of the state support for agriculture

In this paper, we assess the effects of agricultural state support of corporate farms on their revenues from agricultural production sales in 14 Russian regions that differ in technology, environment and institutional conditions. In addition to the direct effect of the state support, the indirect effects via labor and capital are revealed. For this purpose, we identify production functions and statistical models of production factors for each of these regions separately. We find out diverse effects of the state support on revenues among the regions. Positive effects prevail. Negative effects are mainly caused by labor reductions that follow subsidy inflows. Another cause of negative effects is the soft budget constraints phenomenon.

Farm productivity and agroholdings membership: Farm-level evidence from the Russian Far East

Does business-group affiliation matter for productivity in Russian agriculture? To address this question we use farm-level data from the Amur region for 2008-2014. We find that total factor productivity is higher for independent corporate farms compared to agro-holdings members. Our findings are robust to the choice of the production functional form as well as to the choice of resource measures.

Agency costs and organizational architecture of large corporate farms: evidence from Brazil

Drawing inspiration from American institutionalism and new institutional economics, this paper discusses the rise of large corporate farms as the transition from the classic capitalist firm to the corporate form of organization based on the separation of ownership and control. Three case studies from the Brazilian cerrado show the rise of large corporate farms to be enabled and impelled by the advance of agricultural production technologies and the search for scale economies. The key finding from the case studies is that complex technology not only necessitates large-scale farming but also generates technical and organizational solutions to the potentially pervasive agency problems. In addition to the use of sound corporate governance practices, these solutions include organizational architecture encompassing computer-aided accounting and budgeting systems, incentive-based compensation, clear definition of performance goals, and delegation of operational decisions to farm managers. Furthermore, organizational architecture has been shown to promote a culture of trust and accountability, which counteract the opportunistic tendencies of farm managers and workers.