Academic Wits Research Outputs (All submissions)
Permanent URI for this collectionhttps://hdl.handle.net/10539/36827
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Item The Machamba is for life: navigating a precarious labour market in rural Mozambique(Southern Centre For Inequality Studies (SCIS), 2022-12-01) Castel-Branco, RuthThere is significant debate about the class dynamics of agrarian change in Africa. In his seminal work, Maidens, Meal, and Money: Capitalism and the Domestic Community, Meillassoux (1981) [1975] predicted the cannibalisation of the peasantry with the growing dominance of capitalist relations in the countryside. Yet, nearly half a century on, evidence points to the continued relevance of the peasantry as a social, economic, and political construct. Drawing on the case of Mozambique – where two thirds of the economically active population still identify as camponês or peasant – this paper explores the contradictory meanings of the peasantry under contemporary capitalism. The first section traces the making of the proletarian-peasant in Southern Africa, critically engaging Meillassoux’s seminal work on the ‘domestic community’. The second explores the differentiated ways in which camponeses improvise a livelihood through the vignettes of a nearly landless labourer, a petty commodity producer and an emerging capitalist farmer. The third unpacks the significance of the machamba or field in navigating labour insecurity, focusing on the following dimensions of meaning: sustenance, autonomy, and social recognition. Ultimately, the paper concludes, the peasantry embodies a contradictory set of meanings which reflect processes of commodity production rather than a precapitalist past. While the cultivation of the machamba offers an autonomous source of livelihood, it is characterised by drudgery and insecurity; while it provides a reservation wage, it subsidises a system of accumulation based on widespread precarity; while it represents a victory against land dispossession, it can further entrench neoliberalism. Nevertheless, land struggles continue to be the primary driver of contentious politics in Mozambique.Item Variation by Geographic Scale in the Migration-Environment Association: Evidence from Rural South Africa(Federal Institute for Population Research, 2017) Hunter, L.M.; Leyk, S.; Maclaurin, G.J.; Nawrotzki, R.; Twine, W.; Erasmus, B.F.N.; Collinson, M.Scholarly understanding of human migration’s environmental dimensions has greatly advanced in the past several years, motivated in large part by public and policy dialogue around “climate migrants”. The research presented here advances current demographic scholarship both through its substantive interpretations and conclusions, as well as its methodological approach. We examine temporary rural South African outmigration as related to household-level availability of proximate natural resources. Such “natural capital” is central to livelihoods in the region, both for sustenance and as materials for market-bound products. The results demonstrate that the association between local environmental resource availability and outmigration is, in general, positive: households with higher levels of proximate natural capital are more likely to engage in temporary migration. In this way, the general findings support the “environmental surplus” hypothesis that resource security provides a foundation from which households can invest in migration as a livelihood strategy. Such insight stands in contrast to popular dialogue, which tends to view migration as a last resort undertaken only by the most vulnerable households. As another important insight, our findings demonstrate important spatial variation, complicating attempts to generalize migration-environment findings across spatial scales. In our rural South African study site, the positive association between migration and proximate resources is actually highly localized, varying from strongly positive in some villages to strongly negative in others. We explore the socio-demographic factors underlying this “operational scale sensitivity”. The cross-scale methodologies applied here offer nuance unavailable within more commonly used global regression models, although also introducing complexity that complicates story-telling and inhibits generalizability.