IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v94y2024ics0038012124001502.html
   My bibliography  Save this article

Revisiting the critical success factors of entrepreneurship to promote Chinese agriculture systems: A multi-criteria decision-making approach

Author

Listed:
  • Tao, Yongming
  • Muneeb, Farhan Muhammad
  • Wanke, Peter Fernandes
  • Tan, Yong
  • Yazdi, Amir Karbassi

Abstract

In recent times, as markets undergo rapid evolution, agriculture systems encounter multifaceted challenges and require vibrant critical success factors (CSFs) to enhance productivity, efficiency, and performance. This study aims to examine entrepreneurship-based CSFs and uncover how they impact on Chinese agriculture systems. We identified and prioritized 12 CSFs among a pool of 18 CSFs using the Delphi method. Drawing on a comprehensive review of the state-of-the-art literature and validated by expert opinions, we collected six Chinese-listed agriculture firms sample. Subsequently to analyze our data, we employed multi-criteria decision-making (MCDM), step-wise weight assessment ratio analysis (SWARA), and additive ratio assessment (ARAS), utilizing Lingo V.18 and MATLAB. Results suggest that entrepreneurial mindset (coefficient weight >0.97), farmer entrepreneurial awareness (coefficient weight >0.87), and entrepreneurial technology transfer (coefficient weight >0.84) are symbiotic and significantly impact the growth and development of Chinese agriculture system. Moreover, this study provides timely policy recommendations by unveiling the identified CSFs, offering new strategies poised to foster socio-economic growth and development in Chinese rural regions.

Suggested Citation

  • Tao, Yongming & Muneeb, Farhan Muhammad & Wanke, Peter Fernandes & Tan, Yong & Yazdi, Amir Karbassi, 2024. "Revisiting the critical success factors of entrepreneurship to promote Chinese agriculture systems: A multi-criteria decision-making approach," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
  • Handle: RePEc:eee:soceps:v:94:y:2024:i:c:s0038012124001502
    DOI: 10.1016/j.seps.2024.101951
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012124001502
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.seps.2024.101951?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.

    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:eee:soceps:v:94:y:2024:i:c:s0038012124001502. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    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.