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A Forensic Examination of China's National Accounts

Author

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  • 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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    References listed on IDEAS

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    1. Liangjun Su & Zhentao Shi & Peter C. B. Phillips, 2016. "Identifying Latent Structures in Panel Data," Econometrica, Econometric Society, vol. 84, pages 2215-2264, November.
    2. Chong-en Bai & Chang-Tai Hsieh & Zheng Song, 2020. "Special Deals with Chinese Characteristics," NBER Macroeconomics Annual, University of Chicago Press, vol. 34(1), pages 341-379.
    3. Emi Nakamura & Jón Steinsson & Miao Liu, 2016. "Are Chinese Growth and Inflation Too Smooth? Evidence from Engel Curves," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(3), pages 113-144, July.
    4. Lei Zhang & Yuyu Chen & Zongyan He, 2018. "The effect of investment tax incentives: evidence from China’s value-added tax reform," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 25(4), pages 913-945, August.
    5. Zhao Chen & Xian Jiang & Zhikuo Liu & Juan Carlos Suárez Serrato & Daniel Yi Xu, 2023. "Tax Policy and Lumpy Investment Behaviour: Evidence from China’s VAT Reform," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(2), pages 634-674.
    6. Nicholas R. Lardy, 2014. "Markets over Mao: The Rise of Private Business in China," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 6932, October.
    7. Chong-En Bai & Chang-Tai Hsieh & Yingyi Qian, 2006. "The Return to Capital in China," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 37(2), pages 61-102.
    8. repec:zbw:bofitp:urn:nbn:fi:bof-201511031430 is not listed on IDEAS
    9. Lyu, Changjiang & Wang, Kemin & Zhang, Frank & Zhang, Xin, 2018. "GDP management to meet or beat growth targets," Journal of Accounting and Economics, Elsevier, vol. 66(1), pages 318-338.
    10. repec:zbw:bofitp:2015_029 is not listed on IDEAS
    11. Ma, Ben & Song, Guojun & Zhang, Lei & Sonnenfeld, David A., 2014. "Explaining sectoral discrepancies between national and provincial statistics in China," China Economic Review, Elsevier, vol. 30(C), pages 353-369.
    12. Wei Xiong, 2018. "The Mandarin Model of Growth," NBER Working Papers 25296, National Bureau of Economic Research, Inc.
    13. Fernald, John & Hsu, Eric & Spiegel, Mark M., 2015. "Is China fudging its figures? Evidence from trading partner data," BOFIT Discussion Papers 29/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    14. repec:zbw:bofitp:2018_001 is not listed on IDEAS
    15. Holz, Carsten A., 2014. "The quality of China's GDP statistics," China Economic Review, Elsevier, vol. 30(C), pages 309-338.
    16. Chong-En Bai & Chang-Tai Hsieh & Zheng Michael Song, 2016. "The Long Shadow of a Fiscal Expansion," NBER Working Papers 22801, National Bureau of Economic Research, Inc.
    17. Fang Liu & Jun Zhang & Tian Zhu, 2016. "How much can we trust China’s investment statistics?," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 14(3), pages 215-228, July.
    18. Zheng Michael Song & Wei Xiong, 2018. "Risks in China’s Financial System," NBER Working Papers 24230, National Bureau of Economic Research, Inc.
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    Cited by:

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    3. Mali Chivakul & Bernhard Kassner, 2019. "Can Consumption Growth in China Keep Up as Investment Slows?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 61(3), pages 381-412, September.
    4. 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.
    5. 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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    9. Liao, Junmin, 2020. "The rise of the service sector in China," China Economic Review, Elsevier, vol. 59(C).
    10. Boeing, Philipp, 2020. "Innovative China: R&D subsidies, patent measures, and productivity," ZEW Expert Briefs 20-15, ZEW - Leibniz Centre for European Economic Research.
    11. Lawson, Jeremy & Watt, Abigail & Martinez, Carolina & Fu, Rong, 2019. "Chinese Financial Conditions and their Spillovers to the Global Economy and Markets," CEPR Discussion Papers 14065, C.E.P.R. Discussion Papers.

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    More about this item

    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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