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The Nexus between Government Revenue and Macroeconomic Indicators in South Africa

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  • Thomas Habanabakize

    (North-West University, South Africa)

  • Lerato Mothib

    (North-West University, South Africa)

  • Precious Mncayi

    (North-West University, South Africa)

Abstract

Government revenue plays a paramount role in any country’s development and citizen welfare. This is done through government provision of crucial services related to development which include but not limited to finances or subsidies to business entities and citizens through the national wealth distribution. The importance of government revenue is directly correlated with other equally important outcomes. Hence, there exist an interdependence or interaction between macroeconomic variables and government revenue. Therefore, understanding the relationship between government revenue and macroeconomic variables can assist in improving a country’s economy and the development of its people. The core objective of this study was to analyze the effect of some macroeconomic variables on the South African government revenue from 1994 to 2021. Both short-run and long run relationships amongst variables were analyzed using the autoregressive distributed lag (ARDL) model. The long-run and short-run findings indicated that the level of government revenue depends on performance of the analyzed macroeconomic variables namely; balance of payments, economic growth, employment and real effective exchange rate. Employment and economic growth were found to be the major determinants of government revenue. Consequently, the study suggests that the introduction and implementation of policies and strategies that enhance employment opportunities and promote economic growth would be a fundamental way to increase government revenue and improve economic and social well-being.

Suggested Citation

  • Thomas Habanabakize & Lerato Mothib & Precious Mncayi, 2021. "The Nexus between Government Revenue and Macroeconomic Indicators in South Africa," Eurasian Journal of Business and Management, Eurasian Publications, vol. 9(4), pages 258-267.
    • Handle: RePEc:ejn:ejbmjr:v:9:y:2021:i:4:p:258-267
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    References listed on IDEAS

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    1. César Calderón, 2004. "Trade Openness And Real Exchange Rate Volatility: Panel Data Evidence," Working Papers Central Bank of Chile 294, Central Bank of Chile.
    2. Isaac Kwesi Ofori & Camara Kwasi Obeng & Mark Kojo Armah, 2018. "Exchange rate volatility and tax revenue: Evidence from Ghana," Cogent Economics & Finance, Taylor & Francis Journals, vol. 6(1), pages 1537822-153, January.
    3. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    4. Virginia Fierro & Helmut Reisen, 1990. "Tax Revenue Implications of the Real Exchange Rate: Econometric Evidence from Korea and Mexico," OECD Development Centre Working Papers 12, OECD Publishing.
    5. J. Michael Finger, 2008. "Developing Countries in the WTO System: Applying Robert Hudec's Analysis to the Doha Round," The World Economy, Wiley Blackwell, vol. 31(7), pages 887-904, July.
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