IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v55y2019i11p2544-2565.html
   My bibliography  Save this article

Determinants of Exports in China’s Meat Industry: A Gravity Model Analysis

Author

Listed:
  • Saleh Shahriar
  • Lu Qian
  • Sokvibol Kea

Abstract

What are the major determinants of China’s meat exports flows? In addressing this question, we propose a commodity-specific gravity model. This study has employed a unique dataset of 20 years (1997–2016) for China’s pork exports flows to its 31 regular trading partners to estimate the commodity-specific gravity model. The PPML and Heckman selection models are simultaneously estimated to confirm the robustness of the findings. The results reveal that GDP, exchange rate, common language, and country land area are the significant factors affecting the Chinese pork exports flows. Moreover, China’s WTO membership, the ‘Belt & Road’ Initiative, and the common borders have a positive significant impact on its exports of pork.

Suggested Citation

  • Saleh Shahriar & Lu Qian & Sokvibol Kea, 2019. "Determinants of Exports in China’s Meat Industry: A Gravity Model Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(11), pages 2544-2565, September.
  • Handle: RePEc:mes:emfitr:v:55:y:2019:i:11:p:2544-2565
    DOI: 10.1080/1540496X.2019.1578647
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1540496X.2019.1578647
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1540496X.2019.1578647?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Leng, Zhihui & Shuai, Jing & Sun, Han & Shi, Zhiyao & Wang, Zihan, 2020. "Do China's wind energy products have potentials for trade with the “Belt and Road” countries? -- A gravity model approach," Energy Policy, Elsevier, vol. 137(C).
    2. Wenshou Yan & Yan Cai & Xuan Guo, 2023. "How can trade partners be chosen when facing food scandals? China's milk scandal as a natural experiment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 603-635, October.

    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:mes:emfitr:v:55:y:2019:i:11:p:2544-2565. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MREE20 .

    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.