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Evaluation of food security based on DEA method: a case study of Heihe River Basin

Author

Listed:
  • Jinyan Zhan

    (Beijing Normal University)

  • Fan Zhang

    (Beijing Normal University)

  • Zhihui Li

    (Chinese Academy of Sciences
    Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Yue Zhang

    (Capital Normal University)

  • Wei Qi

    (Chinese Academy of Sciences
    Chinese Academy of Sciences)

Abstract

Food security has always been a major issue for most regions or nations across the world. Its complete definition covers productivity, ability and accessibility. In remote and less developed areas, food supply mainly depends on self-sufficiency rather than regional commercial trade. Given limited resources, it is necessary to evaluate agricultural production in this kind of area, so as to improve long-term and stable food production to achieve food security. Heihe River Basin (HRB) is famous for its arid and semi-arid climate, as it is located in the inland of Northwest China. Taking the Heihe River Basin as case study area, we analyzed the total factor productivity of 11 counties of the HRB over 1990–2012. Further, agricultural production efficiency was estimated based on Data Envelopment Analysis and the Malmquist index, in which four input indicators (sown area, agriculture and farm labor, general agricultural machine power and fertilizer) and one output indicator (gross agricultural production) were taken into consideration. The results showed that agricultural production was unbalanced in the HRB for the entire period between 1990 and 2012. The agricultural scale efficiency remained basically unchanged in the HRB, and technical change was the main influencing factor on agricultural production.

Suggested Citation

  • Jinyan Zhan & Fan Zhang & Zhihui Li & Yue Zhang & Wei Qi, 2020. "Evaluation of food security based on DEA method: a case study of Heihe River Basin," Annals of Operations Research, Springer, vol. 290(1), pages 697-706, July.
    • Handle: RePEc:spr:annopr:v:290:y:2020:i:1:d:10.1007_s10479-018-2889-9
    DOI: 10.1007/s10479-018-2889-9
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    References listed on IDEAS

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    Cited by:

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    3. Nomita Pachar & Jyoti Dhingra Darbari & Kannan Govindan & P. C. Jha, 2022. "Sustainable performance measurement of Indian retail chain using two-stage network DEA," Annals of Operations Research, Springer, vol. 315(2), pages 1477-1515, August.

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