IDEAS home Printed from https://ideas.repec.org/a/ids/ijidsc/v10y2018i3p235-248.html
   My bibliography  Save this article

Measuring economic and environmental efficiency for agricultural zones in Iraq using data envelopment analysis

Author

Listed:
  • Ibrahim Zeghaiton Chaloob
  • Razamin Ramli
  • Mohd Kamal Mohd Nawawi

Abstract

Data envelopment analysis (DEA) is a non-parametric linear programming based on method for evaluating performance of similar production units such as agricultural firms. Although the method is already extensively applied in many areas of economics, its use in environmental economics and related fields is still limited. The productivity of the agriculture sector in Iraq has yet to reach an acceptable level to control resources and increase production to meet the modern century requirements. The concept recognises the need to simultaneously raise yields, increase input use efficiency and reduce the negative environmental impacts of farming systems to secure future food production and to sustainably use the limited resources for agriculture. Accordingly, this paper proposes a novel approach to measure using DEA to evaluate five zones in production strategic crops. The significance of this objective lies in the fact that some of the zones have limitations while others adversely impact their environment. This paper also employs a model to determine the efficiency of one over zone over the others and to improve optimal mix of the resources and paths to improve the index of technical efficiency and eco efficiency. Incorporating provision of environmental goods as one of the outputs of the farm and reducing environmental pressures are also outlined.

Suggested Citation

  • Ibrahim Zeghaiton Chaloob & Razamin Ramli & Mohd Kamal Mohd Nawawi, 2018. "Measuring economic and environmental efficiency for agricultural zones in Iraq using data envelopment analysis," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 10(3), pages 235-248.
  • Handle: RePEc:ids:ijidsc:v:10:y:2018:i:3:p:235-248
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=93922
    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. Yunfei Feng & Yi Zhang & Zhaodan Wu & Quanliang Ye & Xinchun Cao, 2023. "Evaluation of Agricultural Eco-Efficiency and Its Spatiotemporal Differentiation in China, Considering Green Water Consumption and Carbon Emissions Based on Undesired Dynamic SBM-DEA," Sustainability, MDPI, vol. 15(4), pages 1-26, February.

    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:ids:ijidsc:v:10:y:2018:i:3:p:235-248. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=306 .

    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.