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Pathways to reduce the environmental footprints of water and energy inputs in food production

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Author Info

  • Khan, S.
  • Khan, M.A.
  • Hanjra, M.A.
  • Mu, J.
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    Abstract

    With climate change and population growth, the pathways for reducing the environmental footprint of food production are increasingly sought, but poorly understood. This paper sketches the environmental footprints of water and energy use in food production systems. The main objective is to present an empirical application, to help identify the main pathways to reducing the footprints. The agricultural system of rice, wheat, and barley production on selected farms in the southern Murray Darling Basin in Australia is used as a case study. Further insights are gained through a review of the data published in pre eminent journals. Together the analysis indicates that boosting water productivity and improving energy use efficiency in crop production operations are the two possible pathways to reducing the environmental footprints of water and energy inputs in food production. These generic conclusions have implications for water, food and environment policy.

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    Bibliographic Info

    Article provided by Elsevier in its journal Food Policy.

    Volume (Year): 34 (2009)
    Issue (Month): 2 (April)
    Pages: 141-149

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    Handle: RePEc:eee:jfpoli:v:34:y:2009:i:2:p:141-149

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    Web page: http://www.elsevier.com/locate/foodpol

    Related research

    Keywords: Food security Water productivity Irrigation Energy efficiency Energy ratio;

    References

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    1. Zhang, Xiaoyong & Dagevos, Hans & He, Yuna & van der Lans, Ivo & Zhai, Fengying, 2008. "Consumption and corpulence in China: A consumer segmentation study based on the food perspective," Food Policy, Elsevier, vol. 33(1), pages 37-47, February.
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    Citations

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    Cited by:
    1. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach," Applied Energy, Elsevier, vol. 88(11), pages 3765-3772.
    2. Lybbert, Travis J. & Sumner, Daniel A., 2012. "Agricultural technologies for climate change in developing countries: Policy options for innovation and technology diffusion," Food Policy, Elsevier, vol. 37(1), pages 114-123.
    3. Jackson, T.M. & Hanjra, Munir A. & Khan, S. & Hafeez, M.M., 2011. "Building a climate resilient farm: A risk based approach for understanding water, energy and emissions in irrigated agriculture," Agricultural Systems, Elsevier, vol. 104(9), pages 729-745.
    4. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein & Rajaeifar, Mohammad Ali, 2014. "Application of artificial neural networks for prediction of output energy and GHG emissions in potato production in Iran," Agricultural Systems, Elsevier, vol. 123(C), pages 120-127.
    5. Jackson, Tamara M. & Khan, Shahbaz & Hafeez, Mohsin, 2010. "A comparative analysis of water application and energy consumption at the irrigated field level," Agricultural Water Management, Elsevier, vol. 97(10), pages 1477-1485, October.
    6. Bradbear, Catherine & Friel, Sharon, 2013. "Integrating climate change, food prices and population health," Food Policy, Elsevier, vol. 43(C), pages 56-66.
    7. Wu, H. & Tassou, S.A. & Karayiannis, T.G., 2013. "Modelling and control approaches for energy reduction in continuous frying systems," Applied Energy, Elsevier, vol. 112(C), pages 939-948.

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