IDEAS home Printed from https://ideas.repec.org/a/oup/indcch/v24y2015i3p539-563..html
   My bibliography  Save this article

The patterns of Chinese firm growth: a conditional estimation approach of the asymmetric exponential power density

Author

Listed:
  • Matthias Duschl
  • Shi-Shu Peng

Abstract

This article investigates the impact of ownership type on the entire growth rate distributional mass of Chinese firms, using a conditional estimation approach of the asymmetric exponential power density that goes beyond simple location-shift analysis. We first find a Chinese growth puzzle, i.e. a deviation from the stylized fact of the variance-scaling relationship commonly observed in Western European economies. We then find that the ownership type mainly affects growth rates far-off the mean value. Our results also indicate that barriers to becoming a high growth firm, such as financial constraints, are especially prevalent in the Chinese private sector.

Suggested Citation

  • Matthias Duschl & Shi-Shu Peng, 2015. "The patterns of Chinese firm growth: a conditional estimation approach of the asymmetric exponential power density," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(3), pages 539-563.
    • Handle: RePEc:oup:indcch:v:24:y:2015:i:3:p:539-563.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/icc/dtv006
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Heinrich, Torsten & Dai, Shuanping, 2016. "Diversity of firm sizes, complexity, and industry structure in the Chinese economy," Structural Change and Economic Dynamics, Elsevier, vol. 37(C), pages 90-106.
    2. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2020. "Levels of structural change: An analysis of China's development push 1998-2014," Papers 2005.01882, arXiv.org, revised Sep 2020.
    3. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2022. "Levels of structural change," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 35-86, January.
    4. Richard Harris & Nigar Hashimzade & Sai Ding, 2016. "Political Connections, State Ownership and Productivity in China," CESifo Working Paper Series 6236, CESifo.
    5. Alex Coad & Marc Cowling & Josh Siepel, 2017. "Growth processes of high-growth firms as a four-dimensional chicken and egg," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(4), pages 537-554.
    6. Vitezić Vanja & Srhoj Stjepan & Perić Marko, 2018. "Investigating Industry Dynamics in a Recessionary Transition Economy," South East European Journal of Economics and Business, Sciendo, vol. 13(1), pages 43-67, June.

    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:oup:indcch:v:24:y:2015:i:3:p:539-563.. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/icc .

    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.