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综合灌溉用水效率研究——以河北省成安县为例
引用本文:韩宇平,周雯晶,代小平,张嘉彧,仵峰,刘社教. 综合灌溉用水效率研究——以河北省成安县为例[J]. 灌溉排水学报, 2017, 36(8). DOI: 10.13522/j.cnki.ggps.2017.08.015
作者姓名:韩宇平  周雯晶  代小平  张嘉彧  仵峰  刘社教
作者单位:1. 华北水利水电大学水利学院,郑州450045;水资源高效利用与保障工程河南省协同创新中心,郑州450045;2. 华北水利水电大学水利学院,郑州,450045;3. 华北水利水电大学水利学院,郑州450045;水资源高效利用与保障工程河南省协同创新中心,郑州450045;河南省节水农业重点实验室,郑州450045;4. 河南省陆浑水库管理局,河南洛阳,471000
摘    要:灌溉用水效率评价是提高灌溉水资源利用效率的基础。为克服传统的灌溉用水效率评价将相对评价和绝对评价分离的缺点,基于农户的灌溉用水生产技术效率(灌溉用水技术效率)和水分生产率,兹提出了综合灌溉用水效率的概念。以河北省成安县为例,基于问卷调查数据,测算了农户的灌溉用水技术效率和水分生产率,分析了农户的综合灌溉用水效率和节水潜力,并基于Tobit模型研究了影响农户灌溉用水效率的因素。结果表明,农户的平均灌溉用水技术效率为68.36%,平均作物水分生产率为1.38 kg/m3,综合灌溉用水效率为0.62。农户的年龄、文化程度、灌溉电价、农户的主要收入来源都对灌溉用水效率有显著的影响。

关 键 词:灌溉用水效率  作物水分生产率  随机前沿分析方法  影响因素

Integrative Irrigation Efficiency: Taking Chengan County in Hebei Province as An Example
HAN Yuping,ZHOU Wenjing,DAI Xiaoping,ZHANG Jiayu,WU Feng,LIU Shejiao. Integrative Irrigation Efficiency: Taking Chengan County in Hebei Province as An Example[J]. Journal of Irrigation and Drainage, 2017, 36(8). DOI: 10.13522/j.cnki.ggps.2017.08.015
Authors:HAN Yuping  ZHOU Wenjing  DAI Xiaoping  ZHANG Jiayu  WU Feng  LIU Shejiao
Abstract:Improving irrigation efficiency is essential to water resources management,and its evaluation traditionally treated relative evaluation and absolute evaluation separately.This paper proposedanintegrative irrigation efficiency (IIE) based on irrigation technical efficiency (ITE) and water use efficiency (WUE).The ITE,WUE and IIE of individual farmers were calculated using household survey data obtained from Chengan County in Hebei Province,from which we analyzed the Farmers' water saving potential for irrigation.Factors that impact the farmers' ITE were also studied using the Tobit model.Results showed that the average ITE,WUE and IIE of the farmers were 68.36%,1.38 kg/m3 and 0.62 respectively.The ITE of farmers depends largely on their age,education and incomes,as well as the costs of electricity for irrigation.
Keywords:irrigation technical efficiency  water use efficiency (WUE)  stochastic frontier analysis (SFA)  impacting factors
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