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Trade Shocks from BRIC to South Africa: A Global VAR Analysis

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  • Mustafa Yavuz Cakir
  • Alain Kabundi

Abstract

This paper studies the trade linkages between South Africa and the BRIC (Brazil, Russia, India, and China) countries. We apply a global vector autoregressive model (global VAR) to investigate the degree of trade linkages and shock transmission between South Africa and the BRIC countries over the period 1995Q1-2009Q4. The model contains 32 countries and has two different estimations: the first one consists of 24 countries and one region, with the 8 countries in the euroarea treated as a single economy; and the second estimation contains 20 countries and two regions, with the BRIC and the euro area countries respectively treated as a single economy. The results suggest that trade linkages exist between our focus economies; however the magnitude differs between countries. Shocks from each BRIC country are shown to have considerable impact on South African real imports and output.

Suggested Citation

  • Mustafa Yavuz Cakir & Alain Kabundi, 2011. "Trade Shocks from BRIC to South Africa: A Global VAR Analysis," Working Papers 250, Economic Research Southern Africa.
  • Handle: RePEc:rza:wpaper:250
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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. Rudkin, Simon & Wong, Sen Min, 2015. "South East Asian Financial Linkages and the Changing Role of China: Insights from a Global VAR," MPRA Paper 65001, University Library of Munich, Germany.
    3. repec:bla:sajeco:v:85:y:2017:i:3:p:430-454 is not listed on IDEAS
    4. Mustafa Çakir & Alain Kabundi, 2014. "Working Paper – WP/14/05- Transmission of China’s Shocks to the BRIS Countries," Papers 6345, South African Reserve Bank.
    5. Adrino Mazenda, 2016. "The Effect of BRICS Trade Relations on South Africa’s Growth," EERI Research Paper Series EERI RP 2016/11, Economics and Econometrics Research Institute (EERI), Brussels.
    6. Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Tsionas, Efthymios G. & Minou, Chrysanthi, 2015. "System estimation of GVAR with two dominants and network theory: Evidence for BRICs," Economic Modelling, Elsevier, vol. 51(C), pages 604-616.
    7. Daniel Zerfu Gurara & Mthuli Ncube, 2013. "Working Paper 183 - Global Economic Spillovers to Africa- A GVAR Approach," Working Paper Series 981, African Development Bank.
    8. 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.
    9. Annari de Waal & Renee van Eyden, 2013. "The impact of economic shocks in the rest of the world on South Africa: Evidence from a global VAR," Working Papers 201328, University of Pretoria, Department of Economics.
    10. Mustafa Çakir & Alain Kabundi, 2017. "Transmission of China's Shocks to the BRIS Countries," South African Journal of Economics, Economic Society of South Africa, vol. 85(3), pages 430-454, September.

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    Keywords

    BRICS; Trade Linkages; Global VAR;

    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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

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