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Spillovers to low-income countries: importance of systemic emerging markets

Author

Listed:
  • Era Dabla-Norris
  • Raphael Espinoza
  • Sarwat Jahan

Abstract

This article documents the expanding economic linkages between low-income countries (LICs) and a narrow group of 'Emerging Market (EM) leaders' that have become major players in international trade and financial flows. VAR models show that these linkages have increased the share of growth volatility that can be attributed to foreign shocks in LICs. Dynamic panel models further analyse the impact of LIC trade orientation and production structure on the sensitivity to foreign shocks. The empirical results demonstrate that the elasticity of growth to trading partners' growth is high for LICs in three out of the five regions: Asia, Latin America and the Caribbean, and Europe and Central Asia. However, for commodity-exporting LICs in Sub-Saharan Africa and the Middle East, terms of trade shocks and demand from the EM leaders are the main channels of transmission of foreign shocks

Suggested Citation

  • Era Dabla-Norris & Raphael Espinoza & Sarwat Jahan, 2015. "Spillovers to low-income countries: importance of systemic emerging markets," Applied Economics, Taylor & Francis Journals, vol. 47(53), pages 5707-5725, November.
    • Handle: RePEc:taf:applec:v:47:y:2015:i:53:p:5707-5725
    DOI: 10.1080/00036846.2015.1058903
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    Cited by:

    1. Gauvin, Ludovic & Rebillard, Cyril, 2013. "Towards Recoupling? Assessing the Impact of a Chinese Hard Landing on Commodity Exporters: Results from Conditional Forecast in a GVAR Model," MPRA Paper 65457, University Library of Munich, Germany.
    2. Francisco Arizala & Mr. Matthieu Bellon & Ms. Margaux MacDonald, 2019. "Regional Growth Spillovers in Sub-Saharan Africa," IMF Working Papers 2019/160, International Monetary Fund.
    3. Werner Kristjanpoller & Josephine E. Olson & Rodolfo I. Salazar, 2016. "Does the commodities boom support the export led growth hypothesis? Evidence from Latin American countries," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 25(1), pages 1-13, December.
    4. Feindouno, Sosso & Arcand, Jean-Louis & Guillaumont, Patrick, 2024. "COVID-19's death transfer to Sub-Saharan Africa," Social Science & Medicine, Elsevier, vol. 340(C).
    5. Knarik Ayvazyan & Ms. Teresa Daban Sanchez, 2015. "Spillovers from Global and Regional Shocks to Armenia," IMF Working Papers 2015/241, International Monetary Fund.
    6. Arzoumanian, Shant, 2024. "How does Russia's economy affect the region? Transmission channels and policy options," Emerging Markets Review, Elsevier, vol. 63(C).
    7. Mr. Jorge I Canales Kriljenko & Ms. Farayi Gwenhamo & Mr. Saji Thomas, 2013. "Inward and Outward Spillovers in the SACU Area," IMF Working Papers 2013/031, International Monetary Fund.
    8. 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.
    9. Aryo Dwi Harprayudi, 2024. "Challenges and Opportunities of Digital Learning: Pedagogical Approaches in Higher Business Education," GATR Journals gjbssr657, Global Academy of Training and Research (GATR) Enterprise.
    10. Ludovic Gauvin & Cyril C. Rebillard, 2018. "Towards recoupling? Assessing the global impact of a Chinese hard landing through trade and commodity price channels," The World Economy, Wiley Blackwell, vol. 41(12), pages 3379-3415, December.
    11. International Monetary Fund, 2014. "Uruguay: Staff Report for the 2013 Article IV Consultation," IMF Staff Country Reports 2014/006, International Monetary Fund.
    12. Almansour, Aseel & Aslam, Aqib & Bluedorn, John & Duttagupta, Rupa, 2015. "How vulnerable are emerging markets to external shocks?," Journal of Policy Modeling, Elsevier, vol. 37(3), pages 460-483.
    13. Mr. John C Bluedorn & Rupa Duttagupta & Mr. Jaime Guajardo & Miss Nkunde Mwase, 2013. "The Growth Comeback in Developing Economies: A New Hope or Back to the Future?," IMF Working Papers 2013/132, International Monetary Fund.

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F15 - International Economics - - Trade - - - Economic Integration
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies

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