IDEAS home Printed from https://ideas.repec.org/a/pid/journl/v51y2012i4p277-287.html
   My bibliography  Save this article

Agricultural Productivity Impact of a Mini-Dam: A Case Study of Ziarat, Balochistan

Author

Listed:
  • Zohaib Saeed

    (Mazars Consulting, Pakistan)

  • Usman Mustafa

    (Pakistan Institute of Development Economics (PIDE), Islamabad)

  • Hafsa Hina

    (Pakistan Institute of Development Economics (PIDE), Islamabad)

  • Shazia Saeed

    (Department of Botany, University of Balochistan, Pakistan)

Abstract

Water scarcity in Balochistan is more severe as of Pakistan. Ground water level is depleting day by day. One of the solutions for such problem is to store water through mini-dams. This study is conducted to find an impact of mini-dam on agricultural productivity in Ziarat, taking apple as the main crop. Primary data of 80 households are collected from two villages (one having a dam and other without having a dam) namely Kawas and Verchoom through stratified random sampling. Cobb-Douglas production function is utilised to form the production function for apple and estimated by using OLS technique. Nine explanatory variables are used for finding the impact over apple yield i.e. farm size, farmer education, farming experience, tree age, fertiliser, irrigation number, pruning and dummy (for capturing the importance of dam). Results revealed that all variables are found significant except farming experience, pruning and tree age. It is concluded that mini-dam played an important role in increasing agricultural productivity, livelihood of the community and contribute positively in improving their living standard.

Suggested Citation

  • Zohaib Saeed & Usman Mustafa & Hafsa Hina & Shazia Saeed, 2012. "Agricultural Productivity Impact of a Mini-Dam: A Case Study of Ziarat, Balochistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 51(4), pages 277-287.
  • Handle: RePEc:pid:journl:v:51:y:2012:i:4:p:277-287
    as

    Download full text from publisher

    File URL: http://www.pide.org.pk/pdf/PDR/2012/Volume4/277-287.pdf
    Download Restriction: no

    More about this item

    Keywords

    Mini-dam; Agricultural Productivity; Stratified Random Sampling; Cobb-Douglas Production Function; Ordinary Least Squares (OLS) Technique;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q29 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Other

    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:pid:journl:v:51:y:2012:i:4:p:277-287. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Khurram Iqbal). General contact details of provider: http://edirc.repec.org/data/pideipk.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.