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Impact of Irrigation Water Scarcity on Rural Household Food Security, Income and Poverty Levels in Pakistan

Author

Listed:
  • Rahut, Dil Bahadur
  • Ali, Akhter
  • Behera, Bhagirath
  • Aryal, Jeetendra

Abstract

Pakistan is currently facing severe shortage of irrigation water. Current study is based on comprehensive cross sectional data set collected from 950 farmers from all the four major provinces of Pakistan. The paper analyzes the determinants of water scarcity and its impact on cereal crops yield (wheat, maize and rice), household income, food security and poverty levels by employing the propensity score matching approach. The empirical analysis indicated that farmers with water scarcity problem have lower yield (wheat, maize and rice) and household income and are food insecure. Poverty levels were higher in the range of 7-12% for the household facing water scarcity problem. Policy implications of the study is that public and private sector in Pakistan needs to invest in irrigation water management to maintain the productivity of cereal crops which is important for household food security and poverty reduction.

Suggested Citation

  • Rahut, Dil Bahadur & Ali, Akhter & Behera, Bhagirath & Aryal, Jeetendra, 2015. "Impact of Irrigation Water Scarcity on Rural Household Food Security, Income and Poverty Levels in Pakistan," 2015 Conference, August 9-14, 2015, Milan, Italy 212696, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae15:212696
    DOI: 10.22004/ag.econ.212696
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    References listed on IDEAS

    as
    1. Jalan, Jyotsna & Ravallion, Martin, 2003. "Does piped water reduce diarrhea for children in rural India?," Journal of Econometrics, Elsevier, vol. 112(1), pages 153-173, January.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    4. repec:iwt:bosers:h040193 is not listed on IDEAS
    5. repec:iwt:bosers:h040195 is not listed on IDEAS
    6. Akhter Ali & Awudu Abdulai, 2010. "The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 175-192, February.
    7. repec:iwt:bosers:h041260 is not listed on IDEAS
    8. Charles Michalopoulos & Howard S. Bloom & Carolyn J. Hill, 2004. "Can Propensity-Score Methods Match the Findings from a Random Assignment Evaluation of Mandatory Welfare-to-Work Programs?," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 156-179, February.
    9. repec:iwt:bosers:h039769 is not listed on IDEAS
    10. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Baohui Men & Libo Han & Changqing Meng, 2021. "Evaluation and Simulation of Water Security in the Circum-Bohai Sea Region of China," Sustainability, MDPI, vol. 13(21), pages 1-19, October.

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