IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v51y2019i7p711-721.html
   My bibliography  Save this article

Water Security and Irrigation Investment: Evidence from a Field Experiment in Rural Pakistan

Author

Listed:
  • Wenchao Xu
  • Man Li
  • Andrew Reid Bell

Abstract

This study examines the relationship between water security features and irrigation investment using data from a field survey with a choice experiment conducted in rural Pakistan. Our results generally support Besley’s framework on the link between property right and investment incentive with an application to irrigation, although not all aspects of water security features can significantly affect farmers’ investment in irrigation. Investment increases significantly with groundwater share, but there is insufficient evidence to support that farmers’ investment is significantly and positively affected by surface water reliability. Farmers who own land or who are located further down the watercourse tend to invest more than their peers do. Existing conditions on surface water reliability significantly affect this relationship. Overall, groundwater use dominates the decision-making of investment and the role of surface water source in securing irrigation water is relatively weak from a farmer’s perspective.

Suggested Citation

  • Wenchao Xu & Man Li & Andrew Reid Bell, 2019. "Water Security and Irrigation Investment: Evidence from a Field Experiment in Rural Pakistan," Applied Economics, Taylor & Francis Journals, vol. 51(7), pages 711-721, February.
  • Handle: RePEc:taf:applec:v:51:y:2019:i:7:p:711-721
    DOI: 10.1080/00036846.2018.1513634
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2018.1513634
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2018.1513634?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. Xin Deng & Zhongcheng Yan & Dingde Xu & Yanbin Qi, 2020. "Land Registration, Adjustment Experience, and Agricultural Machinery Adoption: Empirical Analysis from Rural China," Land, MDPI, vol. 9(3), pages 1-14, March.

    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:taf:applec:v:51:y:2019:i:7:p:711-721. 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/RAEC20 .

    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.