湖北农业科学 ›› 2023, Vol. 62 ›› Issue (4): 69-76.doi: 10.14088/j.cnki.issn0439-8114.2023.04.012

• 资源·环境 • 上一篇    下一篇

长江经济带农业用水效率评价及时空演变——基于SBM-Malmquist模型

缪徐菲1, 李昂2, 俞圆梦1, 苏美1   

  1. 1.河海大学商学院,江苏 常州 213022;
    2.中国水利水电科学研究院,北京 100038
  • 收稿日期:2022-03-28 出版日期:2023-04-25 发布日期:2023-05-12
  • 作者简介:缪徐菲(2000-),女,江苏南通人,在读本科生,(电话)18068620058(电子信箱)1963510121@hhu.edu.cn。
  • 基金资助:
    国家自然科学基金青年科学基金项目(2017-324); 中央高校基本科研业务费项目(B210202158)

Evaluation and spatiotemporal evolution of agricultural water use efficiency in the Yangtze River Economic Belt——Based on SBM-Malmquist model

MIAO Xu-fei1, LI Ang2, YU Yuan-meng1, SU Mei1   

  1. 1. Business School of Hohai University, Changzhou 213022, Jiangsu, China;
    2. China Institute of Water Resources and Hydropower Research, Beijing 100038, China
  • Received:2022-03-28 Online:2023-04-25 Published:2023-05-12

摘要: 利用SBM模型、Malmquist指数法对长江经济带11个省(市)的农业用水效率进行分析,基于核密度分析工具分析其时空演变趋势。结果表明,2011—2020年长江经济带11个省(市)农业用水效率整体未达到有效状态,农业用水效率平均值排序为下游地区>上游地区>中游地区;技术进步和中性无偏绿色技术进步是推动效率提升的主要力量;随时序变化全要素生产效率的省际分化集中程度逐渐减弱;依空间分异全要素生产效率变化指数排序为中游地区>上游地区>下游地区。未来应协调区域治理需求和发展目标,推动水资源结构升级,加强科技投入和科技创新,为农业用水效率提升提供动力。

关键词: 农业用水效率, SBM模型, Malmquist指数, 时空演变, 长江经济带

Abstract: Using the SBM model and Malmquist index method, the agricultural water use efficiency of 11 provinces (cities) in the Yangtze River Economic Belt and its spatiotemporal evolution trend based on nuclear density analysis tools were analyzed. The results showed that from 2011 to 2020, the overall agricultural water use efficiency of 11 provinces (cities) in the Yangtze River Economic Belt did not reach an effective state, and the average agricultural water use efficiency ranked in the following order: downstream region>upstream region>midstream region;technological progress and neutral and unbiased green technological progress were the main forces driving efficiency improvement;the concentration degree of inter-provincial differentiation of total factor production efficiency gradually weakened due to sequential changes at any time;according to spatial differentiation, the change index of total factor productivity was ranked in the order of midstream region>upstream region>downstream region. In the future, it was necessary to coordinate regional governance needs and development goals, promote the upgrading of water resources structure, strengthen scientific and technological investment and innovation, and provide impetus for improving agricultural water efficiency.

Key words: agricultural water use efficiency, SBM model, Malmquist index, spatiotemporal evolution, Yangtze River Economic Belt

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