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Efficient Water-Saving Irrigation, Space Efficiency and Agricultural Development — Study Based on Spatial Stochastic Frontier Model

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Abstract

Xinjiang’s agriculture is a typical irrigated agriculture for its agriculture water consumption accounts for 96% of the total water use. As a typical resource-deficient area, the key to Xinjiang’s agricultural development is saving water. This paper takes the high-efficient water-saving irrigation technology of 41 regions along the Tarim River from 2002 to 2013 as the research object, adopts spatial stochastic frontier model to measure the space efficiency of high-efficient water-saving irrigation technology, and analyzes the effect of water-saving irrigation technology on agricultural development. Results show that the water-saving irrigation technology has a spatial effect, if neglecting it, the error of missing variables will occur, and the average loss will be 6.98 percentage points. The spatial correlation effect promotes the improvement of the efficiency of water-saving irrigation technology. The spatial heterogeneity leads to the spatial imbalance of the efficiency of water-saving irrigation technology. The promotion of agricultural water-saving irrigation technology can increase production and the efficiency of agricultural development. Due to the technical heterogeneity of different types of water-saving irrigation technology, the contribution to the development of agriculture is also different. The study finds that water-saving irrigation technology of drip irrigation in the Tarim River contributes more to agricultural development.

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Correspondence to Aihua Han, Jian Huang, Xin Wang or Zhengyuan Zhu.

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The authors declare no conflict of interest.

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This research was supported by the National Social Science Fund under Grant No. 18BTJ010, Fundamental Research Projects of Central Universities Fund under Grant Nos. 31512211201, 31423211202, 31513111217 and 31712211202.

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Han, A., Huang, J., Wang, X. et al. Efficient Water-Saving Irrigation, Space Efficiency and Agricultural Development — Study Based on Spatial Stochastic Frontier Model. J Syst Sci Complex 36, 2559–2579 (2023). https://doi.org/10.1007/s11424-023-1383-x

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  • DOI: https://doi.org/10.1007/s11424-023-1383-x

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