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Institutions and Economic Performance in Sub-Saharan Africa: A Dynamic Panel Data Analysis

Author

Listed:
  • A. A. Kilishi
  • H. I. Mobolaji
  • M. A. Yaru
  • A. T. Yakubu

Abstract

There is growing emphasis on the role of institutions and governance on explaining Africa's economic growth. However, it is not clear which of the institutions matter most. Therefore ,the objective of this paper is to answer two separate questions: (i) Do institutions rea lly matter in Sub-Saharan Africa?, (ii) If institutions matter, which of them matters most? Arellano and Bond first difference and Blundell-Bond System Generalize d Method of Moment (GMM) estimators were used to estimate the specified models. Our results show that, institutions really matter for Sub-Saharan Africa's economic performance, among which regulatory quality appeared to be the most important. Thus the economic performance of the region could be enhanced by improving regulatory quality.

Suggested Citation

  • A. A. Kilishi & H. I. Mobolaji & M. A. Yaru & A. T. Yakubu, 2013. "Institutions and Economic Performance in Sub-Saharan Africa: A Dynamic Panel Data Analysis," Journal of African Development, African Finance and Economic Association (AFEA), vol. 15(2), pages 91-120.
    • Handle: RePEc:afe:journl:v:15:y:2013:i:1:p:91-120
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    Citations

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    Cited by:

    1. Jonathan E. Ogbuabor & Anthony Orji & Charles O. Manasseh & Onyinye I. Anthony-Orji, 2020. "Institutional Quality and Growth in West Africa: What Happened after the Great Recession?," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 26(4), pages 343-361, November.
    2. Okosu, Napoleon David, 2021. "Institutions and Economic Performance: A Critical Evaluation of the Nigeria Economy," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 5(10), pages 746-755, October.
    3. Dinkneh Gebre Borojo & Yushi Jiang, 2016. "The Impact of Africa-China Trade Openness on Technology Transfer and Economic Growth for Africa: A Dynamic Panel Data Approach," Annals of Economics and Finance, Society for AEF, vol. 17(2), pages 403-431, November.
    4. Maham Mushtaq & Danish Ahmed Siddiqui, 2020. "Exploring the Nexus Between Culture, Values, Institutions, Happiness and Philanthropy: A Global Evidence," International Journal of Social Work, Macrothink Institute, vol. 7(1), pages 16-55, June.
    5. Amine Hammadi & Marshall Mills & Nelson Sobrinho & Mr. Vimal V Thakoor & Ricardo Velloso, 2019. "A Governance Dividend for Sub-Saharan Africa?," IMF Working Papers 2019/001, International Monetary Fund.
    6. Clement Olalekan Olaniyi & Olufemi Bodunde Obembe & Emmanuel Oluwole Oni, 2017. "Analysis of the Nexus between CEO Pay and Performance of Non-Financial Listed Firms in Nigeria," African Development Review, African Development Bank, vol. 29(3), pages 429-445, September.
    7. Helena Barnard & Kenneth Amaeshi & Paul M. Vaaler, 2023. "Theorizing international business in Africa: A roadmap," Journal of International Business Policy, Palgrave Macmillan, vol. 6(4), pages 389-407, December.
    8. Nderitu Kingori, 2016. "Market Structure, Macroeconomic Shocks, and Banking Risk in Kenya," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 1(2), pages 81-113, December.
    9. Appiah, Michael & Karim, Sitara & Naeem, Muhammad Abubakr & Lucey, Brian M., 2022. "Do institutional affiliation affect the renewable energy-growth nexus in the Sub-Saharan Africa: Evidence from a multi-quantitative approach," Renewable Energy, Elsevier, vol. 191(C), pages 785-795.

    More about this item

    Keywords

    Institutions; Dynamic Panel; Africa and Economic Growth;
    All these keywords.

    JEL classification:

    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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