IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0275859.html
   My bibliography  Save this article

An analysis of the impact of China’s macroeconomic performance on its trade partners: Evidence based on the GVAR model

Author

Listed:
  • Aftab Alam
  • Jingmei Ma
  • Ibrar Hussain
  • Rizwan Fazal

Abstract

Economic strategies and planning are critical to a country’s growth and development. China, like many other countries, is seeking the most cost-effective trade deals. Using the Global Vector Auto Regression (GVAR) model, this study examined the impact of a shock to China’s macroeconomic factors on trading economies. The major findings reveal that there is no co-movement between the shock in Chinese gross domestic product (GDP) and German macroeconomic indicators; however, the shock has a positive and substantial influence on Japan’s GDP and Unites States (US)’ exchange rate. It is also worth noting that a shock to Chinese trade volume is more susceptible and more disturbing than a shock to US trade volume since it reduces trade volume and causes the Ren Min Bi (RMB) to devalue permanently. Furthermore, the analysis shows that Chinese stock prices have a major influence on German economy since China’s GDP, trade volume, and currency appreciate over time when its stock price rises. Finally, the exchange rate shock is beneficial to Germany as it boosts GDP and trade volume but has a negative influence on US stock prices. The current study is, therefore, expected to be a suitable beginning point for the governments and policymakers of trading partners to design an effective trade policy to minimize the impact on major economic variables.

Suggested Citation

  • Aftab Alam & Jingmei Ma & Ibrar Hussain & Rizwan Fazal, 2023. "An analysis of the impact of China’s macroeconomic performance on its trade partners: Evidence based on the GVAR model," PLOS ONE, Public Library of Science, vol. 18(1), pages 1-23, January.
  • Handle: RePEc:plo:pone00:0275859
    DOI: 10.1371/journal.pone.0275859
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0275859
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0275859&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0275859?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. repec:osf:osfxxx:cwvqb_v1 is not listed on IDEAS
    2. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
    3. ABBAS, Shah & Nguyen, V.C. & YANFU, Zhu & Nguyen, Huu Tinh, 2020. "The Impact of China Exchange Rate Policy on its Trading Partners Evidence Based on the GVAR Model," OSF Preprints cwvqb, Center for Open Science.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huidan Xue & Chenguang Li & Liming Wang & Wen-Hao Su, 2021. "Spatial Price Transmission and Price Dynamics of Global Butter Export Market under Economic Shocks," Sustainability, MDPI, vol. 13(16), pages 1-24, August.
    2. Alam, Aftab & Ma, Jingmei & Hussain, Ibrar, 2024. "China’s macroeconomic performance affects trading partners: How can their policies respond?," Journal of Policy Modeling, Elsevier, vol. 46(2), pages 448-474.
    3. Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
    4. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August.
    5. Tan, Madeleine Sui-Lay, 2016. "Policy coordination among the ASEAN-5: A global VAR analysis," Journal of Asian Economics, Elsevier, vol. 44(C), pages 20-40.
    6. Fatma Erdem & Erdal Özmen, 2015. "Exchange Rate Regimes and Business Cycles: An Empirical Investigation," Open Economies Review, Springer, vol. 26(5), pages 1041-1058, November.
    7. Martin Feldkircher & Florian Huber & Gary Koop & Michael Pfarrhofer, 2022. "APPROXIMATE BAYESIAN INFERENCE AND FORECASTING IN HUGE‐DIMENSIONAL MULTICOUNTRY VARs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1625-1658, November.
    8. Adam Traczyk, 2013. "Financial integration and the term structure of interest rates," Empirical Economics, Springer, vol. 45(3), pages 1267-1305, December.
    9. Håvard Hungnes, 2016. "Using common factors to identify substitution possibilities in a factor demand system with technological changes," Discussion Papers 849, Statistics Norway, Research Department.
    10. Elisabetta Croci Angelini & Francesco Farina & Enzo Valentini, 2016. "Contagion across Eurozone’s sovereign spreads and the Core-Periphery divide," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(1), pages 197-213, February.
    11. Feldkircher, Martin, 2015. "A global macro model for emerging Europe," Journal of Comparative Economics, Elsevier, vol. 43(3), pages 706-726.
    12. Mr. Giovanni Ganelli & Nour Tawk, 2016. "Spillovers from Japan’s Unconventional Monetary Policy to Emerging Asia: a Global VAR approach," IMF Working Papers 2016/099, International Monetary Fund.
    13. Prelorentzos, Arsenios-Georgios N. & Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Xidonas, Panos & Goutte, Stephane & Thomakos, Dimitrios D., 2024. "Introducing the GVAR-GARCH model: Evidence from financial markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    14. M Boschi & S d'Addona & A Goenka, 2012. "Testing external habits in an asset pricing model," CAMA Working Papers 2012-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    15. Winkelried, Diego & Gutiérrez, José, 2012. "Dinámica inflacionaria regional y el esquema de metas de inflación en el Perú," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 24, pages 79-98.
    16. Khan,Nazmus Sadat, 2022. "Spillover Effects of China’s Trade and Growth Shocks on ASEAN countries : Evidence from aGVAR Model," Policy Research Working Paper Series 10225, The World Bank.
    17. Pesaran, M.H. & Smith, L.V. & Smith, R.P, 2005. "What if the UK has Joined the Euro in 1999? An Empirical Evaluation using a Global VAR," Cambridge Working Papers in Economics 0528, Faculty of Economics, University of Cambridge.
    18. Samuel F. Onipede & Nafiu A. Bashir & Jamaladeen Abubakar, 2023. "Small open economies and external shocks: an application of Bayesian global vector autoregression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1673-1699, April.
    19. Xu, T.T., 2012. "The role of credit in international business cycles," Cambridge Working Papers in Economics 1202, Faculty of Economics, University of Cambridge.
    20. Matías Mayor & Roberto Patuelli, 2015. "Spatial panel data forecasting over different horizons, cross-sectional and temporal dimensions," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(1), pages 149-180.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0275859. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.