Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/251858 
Erscheinungsjahr: 
2022
Quellenangabe: 
[Journal:] Ambio [ISSN:] 1654-7209 [Volume:] 51 [Issue:] 6 [Publisher:] Springer Netherlands [Place:] Dordrecht [Year:] 2022 [Pages:] 1535-1551
Verlag: 
Springer Netherlands, Dordrecht
Zusammenfassung: 
Actor-level data on large-scale commercial agriculture in Sub-Saharan Africa are scarce. The peculiar choice of transnational investing in African land has, therefore, been subject to conjecture. Addressing this gap, we reconstructed the underlying logics of investment location choices in a Bayesian network, using firm- and actor-level interview and spatial data from 37 transnational agriculture and forestry investments across 121 sites in Mozambique, Zambia, Tanzania, and Ethiopia. We distinguish four investment locations across gradients of resource frontiers and agglomeration economies to derive the preferred locations of different investors with varied skillsets and market reach (i.e., track record). In contrast to newcomers, investors with extensive track records are more likely to expand the land use frontier, but they are also likely to survive the high transaction costs of the pre-commercial frontier. We highlight key comparative advantages of Southern and Eastern African frontiers and map the most probable categories of investment locations.
Schlagwörter: 
agricultural investments
Bayesian belief network
decision model
deforestation
large-scale land acquisition
land use change
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