Wits School of Governance - African Governance in the Digital Age (Working papers)

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    Entrepreneurship, digitalisation and productivity Evidence from sub-Saharan African region
    (University of the Witwatersrand, Johannesburg, 2023-09) Edeh, Jude
    Economic growth in Sub-Saharan Africa has been slow and the region has been struggling to address the mounting challenges, ranging from unemployment to poverty. While research, especially from advanced economies, suggests that entrepreneurship is regarded as a major driver of productivity growth, it is still unclear whether and how entrepreneurship promotes productivity in Sub-Saharan Africa. This paper fills the gap by examining the interconnected impact of entrepreneurship and digital infrastructure on productivity, using panel data from Sub-Saharan African countries. The econometric estimates reveal that digital infrastructure has moderating effects on the entrepreneurship—productivity nexus. Thus, these results imply that entrepreneurship does not promote productivity, except through the enabling effect of digital infrastructure. The study provides policy implications for governments and policymakers in the Sub-Saharan African countries.
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    Governance of digital for transformative change in Africa
    (University of the Witwatersrand, Johannesburg, 2023-09) Daniels, Chux
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    Governance and Africa's financial development amid sustainable digitalisation
    (University of the Witwatersrand, Johannesburg, 2023-09) Ejemeyovwi, Jeremiah O; Osabuohien, Evans S; Bowale, Ebenezer I K
    The technological revolution presents opportunities for financial development in Africa. However, the opportunities need to be supplemented with good governance to ensure efficiency and optimal welfare gains. It is therefore worth investigating whether governance, as well as digitalisation shocks, are crucial for the relatively underdeveloped nature of the financial system of such countries and regions. This study therefore examines the impact of governance and digitalisation shocks on financial development in Africa. Specifically, the study tests out the triple-helix model on five uniquely selected African regional representative countries, namely Botswana, Democratic Republic of Congo (DRC), Nigeria, Rwanda and Tunisia for robust and comparative policy estimates. Notably, the study utilised data from the World Development Indicators of the World Bank Group (2023). It adopts the Bayesian Vector Auto-Regressive (VAR) empirical modelling to achieve this objective. The technique was utilised after the model stability test was carried out, using the auto-regressive roots test. The impulse response function across Africa is inferred from the model simulation. The study's findings and recommendations contribute to the literature and economic agents (such as multinationals), empirical evidence of the theoretical reflections of digitalisation and governance on financial development in Africa.