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<p>In this paper, we study the impact (if any) of governance quality on economic growth in Africa, using a panel dataset of fifty countries during the period 2008–2017. For this purpose, we use the Ibrahim Index of African Governance (IIAG), which consists of four component indicators related to the (i) safety and rule of law, (ii) participation rights and inclusion, (iii) sustainable economic opportunity and (iv) human development. Instead of simply using its original formulation, which is based on equal weights, we also construct weighted average variants of the IIAG using four distance-based methods and Shannon entropy for such purpose. We then use these variants of the IIAG, including the equal weights formulation, to estimate alternative specifications of an econometric model relating governance quality and economic growth, conditional on several control variables, using fixed effects, linear and nonlinear and dynamic GMM. The results from the linear and dynamic GMM show that, regardless of the aggregation weights used for the IIAG, governance seems to have a significant positive impact on economic growth. On the other hand, in the fixed effects model, we find evidence for a non-monotonic relation, taking a U-shaped (convex) form indicating that countries may benefit from misgovernance.</p>

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Governance and economic growth in Africa: evidence from linear, nonlinear and dynamic panel analysis

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  • 发表日期：

    2025年3月18日

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  • Giannis Karagiannis,
  • Suzanna-Maria Paleologou

摘要

In this paper, we study the impact (if any) of governance quality on economic growth in Africa, using a panel dataset of fifty countries during the period 2008–2017. For this purpose, we use the Ibrahim Index of African Governance (IIAG), which consists of four component indicators related to the (i) safety and rule of law, (ii) participation rights and inclusion, (iii) sustainable economic opportunity and (iv) human development. Instead of simply using its original formulation, which is based on equal weights, we also construct weighted average variants of the IIAG using four distance-based methods and Shannon entropy for such purpose. We then use these variants of the IIAG, including the equal weights formulation, to estimate alternative specifications of an econometric model relating governance quality and economic growth, conditional on several control variables, using fixed effects, linear and nonlinear and dynamic GMM. The results from the linear and dynamic GMM show that, regardless of the aggregation weights used for the IIAG, governance seems to have a significant positive impact on economic growth. On the other hand, in the fixed effects model, we find evidence for a non-monotonic relation, taking a U-shaped (convex) form indicating that countries may benefit from misgovernance.