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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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    Cited by:

    1. Maxwell Ekor & Oluwatosin Adeniyi & Jimoh Saka, 2014. "The BRICS and Nigeria’s Economic Performance: A Trade Intensity Analysis," Economy, Asian Online Journal Publishing Group, vol. 1(2), pages 37-53.
    2. 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.
    3. Konstantakis, Konstantinos N. & Soklis, George & Michaelides, Panayotis G., 2017. "Tourism expenditures and crisis transmission: A general equilibrium GVAR analysis with network theory," Annals of Tourism Research, Elsevier, vol. 66(C), pages 74-94.
    4. Deniz Sevinc & Edgar Mata Flores & Simon Collinson, 2020. "Are there inequality spillovers? Evidence through a modified inequality measure and European dynamics of inequality," Working Papers 545, ECINEQ, Society for the Study of Economic Inequality.
    5. Kinfack, Emilie & Bonga-Bonga, Lumengo, 2020. "Trade Linkages and Business Cycle Co-movement: Analysis of Trade between African Economies and their Main Trading partners," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 73(2), pages 275-306.
    6. 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.
    7. 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.
    8. Alain Kabundi & Eric Schaling & Modeste Some, 2014. "Wp 140 1," Working Papers 6107, South African Reserve Bank.
    9. Ekor, Maxwell & Adeniyi, Oluwatosin & Saka, Jimoh, 2015. "Trade Intensity Analysis of South Africa-BRIC Economic Relations," MPRA Paper 82632, University Library of Munich, Germany.
    10. 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.
    11. Hany Abdel-Latif & Tapas Mishra & Anita Staneva, 2019. "Arab Countries between Winter and Spring: Where Democracy Shock Goes Next!," Economies, MDPI, Open Access Journal, vol. 7(1), pages 1-1, March.
    12. 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.
    13. Daniel Zerfu Gurara & Mthuli Ncube, 2013. "We develop a global vector autoregressive model (GVAR) to analyze the global growth spillover effects on Africa. The model contains 46 African countries and 30 developed and emerging market countries,," Working Paper Series 981, African Development Bank.
    14. Sinha, Avik & Sen, Sudipta, 2016. "Atmospheric consequences of trade and human development: A case of BRIC countries," MPRA Paper 100011, University Library of Munich, Germany.
    15. 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.
    16. Bhattacharya, Mita & Inekwe, John Nkwoma & Valenzuela, Maria Rebecca, 2018. "Financial integration in Africa: New evidence using network approach," Economic Modelling, Elsevier, vol. 72(C), pages 379-390.
    17. 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.
    18. Khan, Nazmus Sadat, 2020. "Spillover Effects of Trade Shocks in the Central and Eastern European and Baltic Countries," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 35(1), pages 39-68.

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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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