摘要
农业是用水大户,但用水效率偏低,分析区域农业用水效率及其影响因素有助于采取合理的措施来提高用水效率。采用SE-SBM模型和Malmquist指数,对2011-2022年云南省农业用水效率及其构成进行了测算,并利用面板Tobit模型分析了影响农业用水效率的关键因素。结果表明,云南省农业用水效率整体呈波动下降趋势,区域差异较大。技术进步是推动农业用水效率提升的主要动力,而纯技术效率和规模效率的下降则制约了效率的进一步提升。用水结构和经济发展水平对效率具有显著的负向作用,而水资源丰沛程度、城镇化水平和科技水平对农业用水效率的作用不显著。为提高农业用水效率,建议加强节水技术研发与推广、优化农业种植结构、优化水资源配置以及完善农业用水管理制度。
Agriculture is the water use sector,but the agricultural water use efficiency is relatively low.Analyzing the regional water use efficiency and its main influencing factors is helpful to propose appropriate measures to increase the efficiency.This study used the SuperEfficiency Slacks-Based Measure(SE-SBM)model and the Malmquist index to estimate the agricultural water use efficiency and its decomposition components in Yunnan Province from 2011 to 2022.Subsequently,a panel Tobit model was utilized to examine the key factors influencing agricultural water use efficiency.Results indicate that the agricultural water use efficiency in Yunnan Province showed an overall fluctuating downward trend with significant regional disparities.Technological progress was identified as the primary driver for improving agricultural water use efficiency,while the declines in pure technical efficiency and scale efficiency have hindered its further improvement.Water use structure and economic development level had significant negative effects on efficiency,while the abundance of water resources,urbanization level and level of science and technology had no significant impact on agricultural water use efficiency.To improve agricultural water use efficiency,it is recommended to strengthen the research and development as well as the promotion of water-saving technologies,optimize the agricultural planting structure,improve the allocation of water resources,and perfect the management system for agricultural water use.
作者
熊一惠
尚松浩
XIONG Yi-hui;SHANG Song-hao(Department of Hydraulic Engineering,Tsinghua University,Beijing 100084,China)
出处
《节水灌溉》
北大核心
2025年第7期108-114,119,共8页
Water Saving Irrigation
基金
云南省重点研发计划项目(202203AA080010)
2024年大学生创新训练计划(S202410003009)。
