IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v83y2001i2p378-388.html
   My bibliography  Save this article

Estimating Crop-Specific Production Technologies in Chinese Agriculture: A Generalized Maximum Entropy Approach

Author

Listed:
  • Xiaobo Zhang
  • Shenggen Fan

Abstract

A generalized maximum entropy approach is adapted to empirically estimate crop-specific production technologies in Chinese agriculture. Despite a modest behavioral assumption about equal marginal returns of nonland inputs among crops, this method does not require price information, which is usually distorted in a centrally planned economy such as China. A multi-output technology for Chinese agriculture is estimated and input allocations for each province are recovered simultaneously. The estimated multi-output production technology and input allocations imply that China may have greater grain production potentials than previously thought. Copyright 2001, Oxford University Press.

Suggested Citation

  • Xiaobo Zhang & Shenggen Fan, 2001. "Estimating Crop-Specific Production Technologies in Chinese Agriculture: A Generalized Maximum Entropy Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 378-388.
  • Handle: RePEc:oup:ajagec:v:83:y:2001:i:2:p:378-388
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/0002-9092.00163
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Other versions of this item:

    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:ajagec:v:83:y:2001:i:2:p:378-388. 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://edirc.repec.org/data/aaeaaea.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.