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Low-income countries’ linkages to BRICS: Are there growth spillovers?

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  • Samake, Issouf
  • Yang, Yongzheng

Abstract

This paper employs a global vector autoregression (GVAR) model to investigate business cycle transmission from BRICS (Brazil, Russia, India, China, and South Africa) to LICs through trade, FDI, technology, and exchange rates channels. Trade and financial ties between low-income countries (LICs) and BRICS have expanded rapidly in recent years. This gives rise to the potential for growth to spill over from the latter to the former. The estimation results show that there are indeed significant direct spillovers from BRICS to LICs.

Suggested Citation

  • Samake, Issouf & Yang, Yongzheng, 2014. "Low-income countries’ linkages to BRICS: Are there growth spillovers?," Journal of Asian Economics, Elsevier, vol. 30(C), pages 1-14.
  • Handle: RePEc:eee:asieco:v:30:y:2014:i:c:p:1-14
    DOI: 10.1016/j.asieco.2013.09.002
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    Cited by:

    1. KARGI, Bilal, 2014. "The Effects of BRICS and MATIK Countries on World Economy and Cointegration Analysis The Long Term Relation G-7 Growth Rates (1962-2012)," MPRA Paper 55693, University Library of Munich, Germany.
    2. Sanjay Kumar Rout & Hrushikesh Mallick, 2021. "International interdependency of macroeconomic activities: a multivariate empirical analysis," International Economics and Economic Policy, Springer, vol. 18(2), pages 425-450, May.
    3. Oyenyinka Sunday Omoshoro‐Jones & Lumengo Bonga‐Bonga, 2022. "Intra‐regional spillovers from Nigeria and South Africa to the rest of Africa: New evidence from a FAVAR model," The World Economy, Wiley Blackwell, vol. 45(1), pages 251-275, January.
    4. Samargandi, Nahla & Kutan, Ali M. & Sohag, Kazi & Alqahtani, Faisal, 2020. "Equity market and money supply spillovers and economic growth in BRICS economies: A global vector autoregressive approach," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    5. OlaOluwa S. Yaya & Fumitaka Furuoka & Kiew Ling Pui & Ray Ikechukwu Jacob & Chinyere M. Ezeoke, 2020. "Investigating Asian regional income convergence using Fourier Unit Root test with Break," International Economics, CEPII research center, issue 161, pages 120-129.
    6. Oumar Diallo & Sampawende J.-A. Tapsoba, 2016. "Rising BRIC and Changes in Sub-Saharan Africa's Business Cycle Patterns," The World Economy, Wiley Blackwell, vol. 39(2), pages 260-284, February.
    7. Nina Biljanovska & Alexis Meyer-Cirkel, 2016. "Testing Shock Transmission Channels to Low-Income Developing Countries," IMF Working Papers 2016/102, International Monetary Fund.
    8. Zhao, Jingfeng & Tang, Jianmin, 2018. "Industrial structure change and economic growth: A China-Russia comparison," China Economic Review, Elsevier, vol. 47(C), pages 219-233.
    9. KARGI, Bilal, 2014. "Structural Breakage and Long Term Cointegration Analysis for Economic Growth in G-7, BRICS and MATIK Countries (1962-2012)," MPRA Paper 57106, University Library of Munich, Germany.
    10. Samargandi, Nahla & Kutan, Ali M., 2016. "Private credit spillovers and economic growth: Evidence from BRICS countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 56-84.
    11. Kargi, Bilal, 2014. "Structural Breakage and Long-term Cointegration Analysis for Economic Growth in G-7, BRICS and MATIK Countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 13(4), pages 431-442.

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    More about this item

    Keywords

    Spillovers; Low-income countries; BRICS; Global VAR;
    All these keywords.

    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
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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