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The role of China in the world economy: evidence from global VAR model

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  • Anna Sznajderska

    (Warsaw School of Economics, Narodowy Bank Polski)

Abstract

Since the 1980’s China has experienced very high economic growth and its share in global trade has increased rapidly. Nowadays, however, the Chinese economy is rebalancing and its growth is slowing. The paper investigates the spillover effects of a negative demand shock and negative stock price shock in the Chinese economy on other countries. We apply a GVAR model, that enables us to model international linkages between countries. Our results show that a one percent negative China GDP shock reduces global growth by 0.22% in the short run. We find that GDP shock affects emerging economies more strongly than advanced economies. We also show that stock prices shock affects only emerging economies and does not affect advanced economies.

Suggested Citation

  • Anna Sznajderska, 2017. "The role of China in the world economy: evidence from global VAR model," NBP Working Papers 270, Narodowy Bank Polski.
    • Handle: RePEc:nbp:nbpmis:270
    Note: The author is grateful for helpful comments and discussions seminar participants at 27th International Trade and Finance Conference in Poznań and 9th Economic Challenges in Enlarged Europe Conference in Tallin.
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    Cited by:

    1. Considine, Jennifer & Galkin, Phillip & Hatipoglu, Emre & Aldayel, Abdullah, 2023. "The effects of a shock to critical minerals prices on the world oil price and inflation," Energy Economics, Elsevier, vol. 127(PB).
    2. Anna Sznajderska & Mariusz Kapuściński, 2020. "Macroeconomic spillover effects of the Chinese economy," Review of International Economics, Wiley Blackwell, vol. 28(4), pages 992-1019, September.
    3. Anna Sznajderska, 2021. "The Impact of Foreign Shocks on the Polish Economy," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 33-52.
    4. Moinak Maiti & Darko Vukovic & Yaroslav Vyklyuk & Zoran Grubisic, 2022. "BRICS Capital Markets Co-Movement Analysis and Forecasting," Risks, MDPI, vol. 10(5), pages 1-13, April.
    5. Mala Raghavan & Faisal Khan & Evelyn S. Devadason, 2024. "Agri‐food trade channel and the ASEAN macroeconomic impacts from output and price shocks," Agricultural Economics, International Association of Agricultural Economists, vol. 55(1), pages 5-26, January.
    6. Berry A. Harahap & Pakasa Bary & Anggita Cinditya M. Kusuma, 2020. "The Determinants of Indonesia’s Business Cycle," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(special i), pages 215-235.
    7. Mpoha, Salifya & Bonga-Bonga, Lumengo, 2021. "Spillover effects from China and the US to global emerging markets: a dynamic analysis," MPRA Paper 109349, University Library of Munich, Germany.
    8. Anna Sznajderska & Mariusz Kapuściński, 2019. "The spillover effects of Chinese economy on Southeast Asia and Oceania," NBP Working Papers 315, Narodowy Bank Polski.

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    More about this item

    Keywords

    global VAR; China’s slowdown; spillovers;
    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F10 - International Economics - - Trade - - - General
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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