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Re-examining international spillovers: An Asian perspective

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  • Magkonis, Georgios
  • Rudkin, Simon
  • Zhang, Shuonan

Abstract

This study investigates the transmission and the business cycle implications of Chinese export shocks to other Asian economies. Based on a panel vector autoregression (PVAR) model, we provide evidence that a positive export shock originating from China simultaneously stimulates aggregate demands for both China and other Asian economies. The PVAR model takes into account three main sources of potential interactions among ten Asian economies. Simulations from a two-country DSGE model featuring endogenous trade links suggest that positive trade spillover is essential to explain the macroeconomic comovement pattern. Our findings further indicate the importance of the Chinese economy to business cycle synchronization.

Suggested Citation

  • Magkonis, Georgios & Rudkin, Simon & Zhang, Shuonan, 2024. "Re-examining international spillovers: An Asian perspective," International Review of Economics & Finance, Elsevier, vol. 96(PB).
  • Handle: RePEc:eee:reveco:v:96:y:2024:i:pb:s1059056024005732
    DOI: 10.1016/j.iref.2024.103581
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    as
    1. Koop, Gary & Korobilis, Dimitris, 2016. "Model uncertainty in Panel Vector Autoregressive models," European Economic Review, Elsevier, vol. 81(C), pages 115-131.
    2. Pang, Ke & Siklos, Pierre L., 2016. "Macroeconomic consequences of the real-financial nexus: Imbalances and spillovers between China and the U.S," Journal of International Money and Finance, Elsevier, vol. 65(C), pages 195-212.
    3. Mumtaz, Haroon & Theodoridis, Konstantinos, 2017. "Common and country specific economic uncertainty," Journal of International Economics, Elsevier, vol. 105(C), pages 205-216.
    4. Fabio Canova & Matteo Ciccarelli, 2009. "Estimating Multicountry Var Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 929-959, August.
    5. Inoue,Tomoo & Kaya,Demet & Ohshige,Hitoshi, 2015. "The impact of China?s slowdown on the Asia Pacific region : an application of the GVAR model," Policy Research Working Paper Series 7442, The World Bank.
    6. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    7. Alessandro Rebucci & Ambrogio Cesa-Bianchi & M. Hashem Pesaran & TengTeng Xu, 2012. "China's Emergence in the World Economy and Business Cycles in Latin America," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 1-75, January.
    8. Chang, Chun & Liu, Zheng & Spiegel, Mark M., 2015. "Capital controls and optimal Chinese monetary policy," Journal of Monetary Economics, Elsevier, vol. 74(C), pages 1-15.
    9. Li Dai & Patrick Minford & Peng Zhou, 2015. "A DSGE model of China," Applied Economics, Taylor & Francis Journals, vol. 47(59), pages 6438-6460, December.
    10. Pedro Cavalcanti Ferreira & Alberto Trejos, 2022. "Trade and the propagation of global shocks," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1663-1680, October.
    11. Arezki, Rabah & Liu, Yang, 2020. "On the (Changing) asymmetry of global spillovers: Emerging markets vs. advanced economies," Journal of International Money and Finance, Elsevier, vol. 107(C).
    12. Cashin, Paul & Mohaddes, Kamiar & Raissi, Maziar & Raissi, Mehdi, 2014. "The differential effects of oil demand and supply shocks on the global economy," Energy Economics, Elsevier, vol. 44(C), pages 113-134.
    13. Li, Bing & Liu, Qing, 2017. "On the choice of monetary policy rules for China: A Bayesian DSGE approach," China Economic Review, Elsevier, vol. 44(C), pages 166-185.
    14. Caporale, Guglielmo Maria & Helmi, Mohamad Husam & Çatık, Abdurrahman Nazif & Menla Ali, Faek & Akdeniz, Coşkun, 2018. "Monetary policy rules in emerging countries: Is there an augmented nonlinear taylor rule?," Economic Modelling, Elsevier, vol. 72(C), pages 306-319.
    15. 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.
    16. Poutineau, Jean-Christophe & Vermandel, Gauthier, 2015. "Cross-border banking flows spillovers in the Eurozone: Evidence from an estimated DSGE model," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 378-403.
    17. Moura, Marcelo L. & de Carvalho, Alexandre, 2010. "What can Taylor rules say about monetary policy in Latin America?," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 392-404, March.
    18. Gregory De Walque & Thomas Lejeune & Yuliya Rychalovska & Rafael Wouters, 2017. "An estimated two-country EA-US model with limited exchange rate pass-through," Working Paper Research 317, National Bank of Belgium.
    19. Jackson, Karen & Shepotylo, Oleksandr, 2021. "Belt and road: The China dream?," China Economic Review, Elsevier, vol. 67(C).
    20. Bhattarai, Keshab & Mallick, Sushanta K. & Yang, Bo, 2021. "Are global spillovers complementary or competitive? Need for international policy coordination," Journal of International Money and Finance, Elsevier, vol. 110(C).
    21. Martin Feldkircher & Iikka Korhonen, 2014. "The Rise of China and Its Implications for the Global Economy: Evidence from a Global Vector Autoregressive Model," Pacific Economic Review, Wiley Blackwell, vol. 19(1), pages 61-89, February.
    22. Chang, Chun & Liu, Zheng & Spiegel, Mark M. & Zhang, Jingyi, 2019. "Reserve requirements and optimal Chinese stabilization policy," Journal of Monetary Economics, Elsevier, vol. 103(C), pages 33-51.
    23. Wei Jiang & Yunong Li & Shajuan Zhang, 2019. "Business cycle synchronisation in East Asia: The role of value‐added trade," The World Economy, Wiley Blackwell, vol. 42(1), pages 226-241, January.
    24. Yujiang Bi & Guangyi Xin, 2021. "Analysis of Economic Shock Effects between China and ASEAN: An Empirical Study Based on Multinational VAR," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(8), pages 2290-2306, June.
    25. George, Edward I. & Sun, Dongchu & Ni, Shawn, 2008. "Bayesian stochastic search for VAR model restrictions," Journal of Econometrics, Elsevier, vol. 142(1), pages 553-580, January.
    26. Biao Gu & Jianfeng Wang & Jingfei Wu, 2014. "Business Cycles in an Estimated DSGE Model of China," China Economic Journal, Taylor & Francis Journals, vol. 7(3), pages 361-381, September.
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    More about this item

    Keywords

    Export shock; Panel VAR; DSGE model; Spillover effect;
    All these keywords.

    JEL classification:

    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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