IDEAS home Printed from https://ideas.repec.org/a/ags/reowae/410361.html

Estimating Labor and Total Factor Productivity in the Jordanian Agricultural Sector

Author

Listed:
  • Ahmad, Al‑Majali

Abstract

This study investigates the Jordanian agricultural sector's labor productivity, technical efficiency, and total factor productivity from 1990 to 2023. It studies the interaction between agricultural output and the factors of production, including labor, capital, and land, while emphasizing the role of economic policy in maximizing output per unit of input. In terms of methodology, the study applied econometric models, including the growth accounting methodology and the vector error correction model (VECM) to analyze the long-run relationship and the data envelopment analysis (DEA) to measure technical efficiency. The results showed that labor productivity and total factor productivity (TFP) in the Jordanian agricultural sector went through three phases. The first was a noticeable decline in the 1990s, followed by an improvement during the period 2000–2011, and then a renewed slowdown after 2011, which was attributed to several factors, including a decline in agricultural investments, restrictions on foreign labor, and rising production costs. The VECM model results indicated a long-term relationship between agricultural output and each of capital, labor, and cultivated land, with labor showing greater importance than the other factors. On the other hand, the results of the DEA showed an improvement in technical efficiency up to 2011, followed by a decline due to the underutilization of economies of scale and weak resource use. The study recommends focusing on policies that support investment in agricultural technologies; It also recommends promoting local labor training and developing agricultural infrastructure to improve efficiency and achieve sustainable productivity growth.

Suggested Citation

  • Ahmad, Al‑Majali, 2025. "Estimating Labor and Total Factor Productivity in the Jordanian Agricultural Sector," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 6(2), May.
  • Handle: RePEc:ags:reowae:410361
    DOI: 10.22004/ag.econ.410361
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/410361/files/6821b7257401f.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.410361?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
    ---><---

    More about this item

    Keywords

    ;

    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:ags:reowae:410361. 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: AgEcon Search (email available below). General contact details of provider: http://www.nassg.org/ .

    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.