IDEAS home Printed from https://ideas.repec.org/h/cnb/ocpubc/geo2020-1.html
   My bibliography  Save this book chapter

An alternative, satellite view of China

In: CNB Global Economic Outlook - January 2020

Author

Listed:
  • Tomas Adam
  • Sona Benecka

Abstract

Doubts about the quality of China's official GDP figures persist and cannot be expected to fade soon, despite considerable efforts made by the Chinese authorities. This creates space for unconventional approaches to measuring economic activity. Alongside the main alternative approaches (based, for example, on electricity consumption and railway cargo traffic), satellite imaging indicators are increasingly being used. We will focus in greater detail on SpaceKnow's Chinese Satellite Manufacturing Index (SMI). This tracks industrial activity in the manufacturing sector based on satellite data analysis. Its significant advantage is the timeliness and quality of the data provided, which make it a valuable input for understanding Chinese economic growth. The SMI currently indicates a slight slowdown in Chinese manufacturing.

Suggested Citation

  • Tomas Adam & Sona Benecka, 2020. "An alternative, satellite view of China," Occasional Publications - Chapters in Edited Volumes, in: CNB Global Economic Outlook - January 2020, pages 14-17, Czech National Bank.
    • Handle: RePEc:cnb:ocpubc:geo2020/1
    as

    Download full text from publisher

    File URL: https://www.cnb.cz/export/sites/cnb/en/monetary-policy/.galleries/geo/geo_2020/gev_2020_01_en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fernald, John G. & Hsu, Eric & Spiegel, Mark M., 2021. "Is China fudging its GDP figures? Evidence from trading partner data," Journal of International Money and Finance, Elsevier, vol. 110(C).
    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. 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).
    2. Yujia, Li & Zixiang, Zhu & Ming, Che, 2024. "Exploring the relationship between China's economic policy uncertainty and business cycles: Exogenous impulse or endogenous responses?," Emerging Markets Review, Elsevier, vol. 58(C).
    3. Eswar Prasad, 2023. "Has China's Growth Gone from Miracle to Malady?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 54(1 (Spring), pages 243-270.
    4. William Barcelona & Danilo Cascaldi-Garcia & Jasper Hoek & Eva Van Leemput, 2022. "What Happens in China Does Not Stay in China," International Finance Discussion Papers 1360, Board of Governors of the Federal Reserve System (U.S.).
    5. Chen, Hongyi & Tillmann, Peter, 2021. "Monetary policy uncertainty in China," Journal of International Money and Finance, Elsevier, vol. 110(C).
    6. Wang, Xi & Liu, Ying & Chen, Zhongfei, 2022. "Monetary policy dysregulation with data distortion," Economic Modelling, Elsevier, vol. 116(C).
    7. John Ammer & John H. Rogers & Gang Wang & Yang Yu, 2022. "Visible Hands: Professional Asset Managers' Expectations and the Stock Market in China," International Finance Discussion Papers 1362, Board of Governors of the Federal Reserve System (U.S.).
    8. Lai, Pingyao & Zhu, Tian, 2022. "Deflating China's nominal GDP: 2004–2018," China Economic Review, Elsevier, vol. 71(C).
    9. Corneli, Flavia & Ferriani, Fabrizio & Gazzani, Andrea, 2023. "Macroeconomic news, the financial cycle and the commodity cycle: The Chinese footprint," Economics Letters, Elsevier, vol. 231(C).
    10. Bruno Deschamps & Tianlun Fei & Ying Jiang & Xiaoquan Liu, 2022. "Procyclical volatility in Chinese stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 1117-1144, April.
    11. Al-Haschimi, Alexander & Apostolou, Apostolos & Azqueta-Gavaldon, Andres & Ricci, Martino, 2023. "Using machine learning to measure financial risk in China," Working Paper Series 2767, European Central Bank.
    12. Yu Lu & Fanbin Kong & Luchen Huang & Kai Xiong & Caiyao Xu & Ben Wang, 2021. "Evaluation of the Implementation Effect of the Ecological Compensation Policy in the Poyang Lake River Basin Based on Difference-in-Difference Method," Sustainability, MDPI, vol. 13(15), pages 1-14, August.

    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:cnb:ocpubc:geo2020/1. 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: Jan Babecky (email available below). General contact details of provider: https://edirc.repec.org/data/cnbgvcz.html .

    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.