水保所知识产出(1956---)知识库

为了科学评判农业生产水平，实现资源优化配置，该文运用数据包络分析（data envelopment analysis，
DEA），同时考虑蓝水、绿水等多种要素，分析了河套灌区5 个区域2000－2008 年的农业生产相对效率，并对非
DEA 有效决策单元（decision making unit，DMU）提出建议。结果表明：各区域农业生产综合效率差异不显著。
杭后和五原效率的提高主要取决于能否有效利用生产技术，而生产规模是影响前旗效率的主要因素。为实现DEA
有效，21 个非DEA 有效DMU 的各投入平均调整幅度分别为16.66%（蓝水），22.23%（绿水），19.46%（盐渍化
灌溉面积），20.66%（非盐渍化灌溉面积）和23.82%（农业人口）。灌区应该调整产业结构，改善灌溉设施，加强
土地管理，同时在现有绿水资源利用情况下，建立节水高效型种植结构。该研究为探寻河套灌区农业高效生产模
式，指导其他灌区农业系统改善提供参考。

The assessment of agricultural production efficiency of Hetao irrigation district of Inner Mongolia, an
important agricultural production area of China, is of great significance in guaranteeing national food security.
Much attention has been paid to blue water (surface and groundwater), while the use of green water (rainwater
insofar as it does not become run-off) is rarely included in the agricultural production analysis. Compared to blue
water, the cost of green water is less, but its environmental impact is concerned . Consequently, this paper
analyzed agricultural productive efficiency of five counties in the Hetao irrigation district during 2000-2008 using
data envelopment analysis (DEA) by considering blue water, green water, and other indicators. First, the
technology efficiency, pure technology efficiency, and scale efficiency were analyzed combining CCR-I and
BCC-I models and then some suggestions about how to adjust the amount of input resources were provided for
ineffective decision making units (DMU). Results show that: among the 45 DMUs, there were 24 DMUs that
were DEA-effective. The values of technology efficiency, pure technology efficiency, and scale efficiency of five
counties during the period of 2005-2008 were greater than those during the period of 2000-2004. The differences
of technology efficiency in different counties were not significant and the value for Qianqi (0.878) was smaller
than the other four counties, which were larger than 0.9. The agricultural productivity efficiency of Qianqi was
mainly influenced by production scale and it was the application of technology for Hanghou and Wuyuan. In
order to be DEA-effective, the inputs of 21 DMUs should be decreased and the decreasing proportions were
16.66% (blue water), 22.23% (green water), 19.46% (irrigation areas with salinization problem), 20.66%
(irrigation areas without salinization problem) and 23.82% (agricultural population). The use of different
resources was inefficient and would have an adverse effect on the development of the irrigation district. To some
extent, the redundancy of water and land resources in agricultural production may be related to the characteristics
of green water. The rainfall in the Hetao irrigation district was uneven both temporally and spatially. Local
farmers would increase the use of blue water and land resources when they were not sure about the amount of
green water that the crops could use to achieve a better harvest. As a result, the use efficiency of blue water and
land resources would decrease when the grain production was lower than the expectation value, which was mainly
caused by the litter rainfall. The use efficiency of green water would decrease when the expectation green water
was larger than actual value. In the future, the rational distribution of labor among agricultural production and
other industries would be helpful in achieving a more effective agricultural production pattern for the Hetao
irrigation district. Besides, the improvements of irrigation frustration and land resources management were also
needed for the Hetao irrigation district. hift of cropping pattern to crops with lower irrigation water input and
higher output would also be suggested considering the difficulty in decreasing the redundancy for green water.
This study could provide some suggestions for the efficient agricultural production in the Hetao irrigation district
and the improvement of the agricultural production system in other irrigation districts.