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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
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    More about this item

    Keywords

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

    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

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