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The Impact of Economic Shocks in the Rest of the World on South Africa: Evidence from a Global VAR

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  • Annari De Waal
  • Reneé van Eyden

Abstract

The substantial change in South Africa’s trade patterns over the past two decades has affected the impact of economic shocks in major world economies on South Africa. To investigate the effect, we use a global vector autoregression (GVAR) model with time-varying trade weights to account for changing international trade linkages. We show that the long-term impact of a shock to Chinese GDP on South African GDP is much stronger in 2009 than in 1995, due to the substantial increase in South Africa’s trade with China since the mid-1990s. At the same time, the importance of the U.S. economy to South Africa diminished considerably. The results indicate one of the possible reasons why the recent global crisis did not affect South Africa as much as it affected developed economies. It also stresses the increased risk, to the South African and other economies, should China experience slower GDP growth.

Suggested Citation

  • Annari De Waal & Reneé van Eyden, 2016. "The Impact of Economic Shocks in the Rest of the World on South Africa: Evidence from a Global VAR," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(3), pages 557-573, March.
    • Handle: RePEc:mes:emfitr:v:52:y:2016:i:3:p:557-573
    DOI: 10.1080/1540496X.2015.1103141
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    Citations

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    Cited by:

    1. Zuzana Brixiova & Qingwei Meng & Mthuli Ncube, 2015. "Can Intra-Regional Trade Act as a Global Shock Absorber in Africa?," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 16(3), pages 141-162, July.
    2. Alexander Chudik & M. Hashem Pesaran, 2016. "Theory And Practice Of Gvar Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 165-197, February.
    3. Mthuli Ncube & Zuzana Brixiova & Meng Qingwei, 2014. "Working Paper 198 - Can Intra-Regional Trade Act as a Global Shock Absorber in Africa?," Working Paper Series 2104, African Development Bank.
    4. Houssa, Romain & Mohimont, Jolan & Otrok, Christopher, 2023. "Commodity exports, financial frictions, and international spillovers," European Economic Review, Elsevier, vol. 158(C).
    5. Annari De Waal & Rene頖an Eyden & Rangan Gupta, 2015. "Do we need a global VAR model to forecast inflation and output in South Africa?," Applied Economics, Taylor & Francis Journals, vol. 47(25), pages 2649-2670, May.
    6. Khwazi Magubane, 2025. "The Stability of the Financial Cycle: Insights from a Markov Switching Regression in South Africa," JRFM, MDPI, vol. 18(2), pages 1-30, February.
    7. Thanda Sithole & Beatrice D. Simo-Kengne & Modeste Some, 2017. "The role of financial conditions in transmitting external shocks to South Africa," International Economics, CEPII research center, issue 150, pages 36-56.
    8. Faryna, Oleksandr & Simola, Heli, 2021. "The transmission of international shocks to CIS economies: A global VAR approach," Economic Systems, Elsevier, vol. 45(2).
    9. Johnson Worlanyo Ahiadorme, 2022. "On the aggregate effects of global uncertainty: Evidence from an emerging economy," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 390-407, September.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa

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