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Pension funds as fuel for overall investment level and economic growth: An empirical insight from South African economy

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  • Kazeem Abimbola Sanusi
  • Forget Mingiri Kapingura

Abstract

This study explores the impact of accumulated pension funds on the investment level and economic growth in South Africa using Bayesian Linear Regression (BLR) model. Time series data on Gross Domestic Product (GDP), total official pension funds and gross fixed capital formation (as a proxy for total investment level) from 1990(Q1) to 2019(Q3) were employed. The study makes use of MCMC (Markov Chain Monte Carlo) algorithm to obtain regression model parameters. The empirical findings from Bayesian Linear Regression estimation suggest that the mean effects of pension funds on economic growth and investment level in South Africa are approximately zero. The empirical conclusion is further corroborated by FMOLS results, which show that accumulated pension funds have no significant impact on the overall investment level and economic growth in South African economy. The study recommends that policy makers and the pension funds regulators have to come up with workable means by which pension funds can be invested to significantly benefit the economy; at the same time, ensuring the safety of the invested funds so as not to jeopardize the interest of pension funds owners.

Suggested Citation

  • Kazeem Abimbola Sanusi & Forget Mingiri Kapingura, 2021. "Pension funds as fuel for overall investment level and economic growth: An empirical insight from South African economy," Cogent Business & Management, Taylor & Francis Journals, vol. 8(1), pages 1935661-193, January.
    • Handle: RePEc:taf:oabmxx:v:8:y:2021:i:1:p:1935661
    DOI: 10.1080/23311975.2021.1935661
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    Cited by:

    1. Moses Tunde Oyerinde & Dr. Folake Feyisayo Olowokudejo & Prof Musa Adebayo Obalola, 2024. "Assets Liability Management, Macro-Economic Factors and Performance of Pension Funds Administration in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(6), pages 2429-2440, June.

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