Clustering and spatial dynamics of informal trading in Zimbabwe during the COVID-19 pandemic

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dc.contributor.authorNdlovu, Meshach
dc.date.accessioned2025-07-10T10:30:48Z
dc.date.available2025-07-10T10:30:48Z
dc.date.issued2025-03-22
dc.description.abstractThe COVID-19 pandemic led to significant disruptions across various sectors, with Zimbabwe's informal economy being acutely impacted. In response, the Zimbabwean government implemented measures to mitigate the economic challenges faced by informal traders, including the establishment of new trading spaces such as Nkulumane Sekusile in Bulawayo. This study investigates the spatial dynamics, understood as the clustering and grouping of different types of traders within Sekusile market during the pandemic. The research examines how the influx of traders from various regions altered the market's structure and competition. By employing advanced statistical clustering methods—such as hotspot analysis, the K-means algorithm, ordinary kriging, and persistence diagrams—this study provides critical insights into these spatial variations, informing policy recommendations aimed at enhancing the socio-economic resilience of informal traders.
dc.identifier.citationNdlovu, M. (2025). Clustering and spatial dynamics of informal trading in Zimbabwe during the COVID-19 pandemic. Scientific African, 28, e02662. https://doi.org/10.1016/j.sciaf.2025.e02662
dc.identifier.urihttps://doi.org/10.1016/j.sciaf.2025.e02662
dc.identifier.urihttp://ir.gsu.ac.zw:4000/handle/123456789/766
dc.language.isoen
dc.publisherElsevier B.V
dc.relation.ispartofseriesScientific African; Volume 28
dc.subjectSpatial dynamics
dc.subjectInformal financial market
dc.subjectGeostatistics
dc.subjectPersistence diagram
dc.subjectTopological data analysis
dc.titleClustering and spatial dynamics of informal trading in Zimbabwe during the COVID-19 pandemic
dc.typeArticle

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