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A Revival of Budget Deficit and Economic Growth

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  • Elisha Mavodyo

Abstract

South Africa has experienced high budget deficits accompanied by sluggish economic growth over the years. Fears mount that such a trend may worsen due to the advent of the Covid-19. Yet, the effect of budget deficit on economic growth remains one of the widely debated topics in economics. This article gives empirical evidence on the budget deficit-economic growth nexus and the deficit spending channels that are growth stimulating in South Africa over the period 1980 to 2018. Relying on the Dynamic Ordinary Least Squares (DOLS), results show that budget deficit is growth promoting and that budget deficit is growth stimulating if it is channelled towards export-oriented industrialisation of ores and metals.

Suggested Citation

  • Elisha Mavodyo, 2020. "A Revival of Budget Deficit and Economic Growth," EERI Research Paper Series EERI RP 2020/04, Economics and Econometrics Research Institute (EERI), Brussels.
  • Handle: RePEc:eei:rpaper:eeri_rp_2020_04
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    File URL: http://www.eeri.eu/documents/wp/EERI_RP_2020_04.pdf
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    Cited by:

    1. Raymond Osi Alenoghena & Samuel David Adebisi & Ayobola Olufolake Charles, 2022. "Fiscal Policy and Macroeconomic Variables in Africa: A Bayesian VAR Approach," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(12), pages 731-741, December.

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    More about this item

    Keywords

    DOLS; endogeneity; budget deficit; economic growth; export-oriented industrialisation;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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