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How Stable Is China’s Growth? Shedding Light on Sparse Data

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Abstract

Policymakers, academics, and market participants have raised many questions in recent years over the accuracy of China’s official economic growth rates, both in terms of levels and volatility. This issue is of considerable importance for policymakers because fluctuations in China’s economic activity can have significant impacts on growth, employment, inflation, and other policy objectives, given China’s large shares of world output, trade, and commodity demand, and its rapidly growing role in global financial markets. This study addresses the question of growth volatility using a set of alternative growth indicators and concludes that China’s official growth rate most likely has been implausibly smooth. Moreover, growth slowdowns during 2014-15 and 2017-19 were about twice as large as officially reported, while a growth rebound in 2016 was scarcely reported at all; the 2017-19 downturn was also shallower than that of 2014-15, by alternative measures. We argue that this picture fits reasonably well with other indicators of the global economy, China’s own domestic data, and policy developments in China. Economic cycles in the period after the global financial crises have shown much shorter upturns and much longer downturns compared with the first decade after China joined the World Trade Organization. These cycles are likely to continue around a substantial slowdown in trend growth.

Suggested Citation

  • Hunter L. Clark & Jeffrey B. Dawson & Maxim L. Pinkovskiy, 2020. "How Stable Is China’s Growth? Shedding Light on Sparse Data," Economic Policy Review, Federal Reserve Bank of New York, vol. 26(4), pages 1-38, October.
  • Handle: RePEc:fip:fednep:89898
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    References listed on IDEAS

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    1. Matthew Higgins, 2020. "China's Growth Outlook: Is High-Income Status in Reach?," Economic Policy Review, Federal Reserve Bank of New York, vol. 26(4), pages 69-97, October.
    2. Michael Biggs & Thomas Mayer & Andreas Pick, 2009. "Credit and economic recovery," DNB Working Papers 218, Netherlands Central Bank, Research Department.
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    4. repec:zbw:bofitp:2015_029 is not listed on IDEAS
    5. Kilian, Lutz & Zhou, Xiaoqing, 2018. "Modeling fluctuations in the global demand for commodities," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 54-78.
    6. Clark, Hunter & Pinkovskiy, Maxim & Sala-i-Martin, Xavier, 2020. "China's GDP growth may be understated," China Economic Review, Elsevier, vol. 62(C).
    7. repec:zbw:bofitp:2018_023 is not listed on IDEAS
    8. Hunter L. Clark & Jeffrey B. Dawson, 2019. "Could Rising Household Debt Undercut China’s Economy?," Liberty Street Economics 20190213, Federal Reserve Bank of New York.
    9. Doll, Christopher N.H. & Muller, Jan-Peter & Morley, Jeremy G., 2006. "Mapping regional economic activity from night-time light satellite imagery," Ecological Economics, Elsevier, vol. 57(1), pages 75-92, April.
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    Cited by:

    1. Jan J. J. Groen & Michael Nattinger, 2020. "Alternative Indicators for Chinese Economic Activity Using Sparse PLS Regression," Economic Policy Review, Federal Reserve Bank of New York, vol. 26(4), pages 39-68, October.

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    More about this item

    Keywords

    China; growth volatility; growth rates;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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