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A Forensic Examination of China's National Accounts

Author

Listed:
  • Wei Chen
  • Xilu Chen
  • Chang-Tai Hsieh
  • Zheng Song

Abstract

China’s national accounts are based on data collected by local governments. However, since local governments are rewarded for meeting growth and investment targets, they have an incentive to skew local statistics. China’s National Bureau of Statistics (NBS) adjusts the data provided by local governments to calculate GDP at the national level. The adjustments made by the NBS average 5% of GDP since the mid-2000s. On the production side, the discrepancy between local and aggregate GDP is entirely driven by the gap between local and national estimates of industrial output. On the expenditure side, the gap is in investment. Local statistics increasingly misrepresent the true numbers after 2008, but there was no corresponding change in the adjustment made by the NBS. Using publicly available data, we provide revised estimates of local and national GDP by re-estimating output of industrial, construction, wholesale and retail firms using data on value-added taxes. We also use several local economic indicators that are less likely to be manipulated by local governments to estimate local and aggregate GDP. The estimates also suggest that the adjustments by the NBS were insufficient after 2008. Relative to the official numbers, we estimate that GDP growth from 2010-2016 is 1.8 percentage points lower and the investment and savings rate in 2016 is 7 percentage points lower.

Suggested Citation

  • Wei Chen & Xilu Chen & Chang-Tai Hsieh & Zheng Song, 2019. "A Forensic Examination of China's National Accounts," NBER Working Papers 25754, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:25754
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    6. Chen, Kaiji & Higgins, Patrick & Zha, Tao, 2024. "Constructing quarterly Chinese time series usable for macroeconomic analysis," Journal of International Money and Finance, Elsevier, vol. 143(C).
    7. Michael Beckley, 2020. "China's Economy Is Not Overtaking America's," Journal of Applied Corporate Finance, Morgan Stanley, vol. 32(2), pages 10-23, June.
    8. Chen, Shuo & Qiao, Xue & Zhu, Zhitao, 2021. "Chasing or cheating? Theory and evidence on China's GDP manipulation," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 657-671.
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    10. Shuonan Zhang, 2020. "State-owned enterprises and entrusted lending: A DSGE analysis for growth and business cycles in China," Working Papers in Economics & Finance 2020-01, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    11. Benguria, Felipe & Choi, Jaerim & Swenson, Deborah L. & Xu, Mingzhi (Jimmy), 2022. "Anxiety or pain? The impact of tariffs and uncertainty on Chinese firms in the trade war," Journal of International Economics, Elsevier, vol. 137(C).
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    15. Liu, Jianhua & Liu, Jingjun & Tang, Zhenyang & Xu, Yue, 2024. "Provincial economic growth and firm excess investment: Evidence from China," Economic Modelling, Elsevier, vol. 137(C).

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    JEL classification:

    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts

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