甘肃农业大学 管理学院,甘肃,兰州,730070
纸质出版:2018
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程文仕, 黄鑫, 刘洋, 等. 基于土地整治绩效空间差异和潜力分级的投入优先序研究[J]. 水土保持通报, 2018,38(1):192-197.
CHENG Wenshi, HUANG Xin, LIU Yang, et al. Input Priority of Spatial Difference and Potential Classification Based on Land Remediation Performance[J]. Bulletin of Soiland Water Conservation, 2018, 38(1): 192-197.
程文仕, 黄鑫, 刘洋, 等. 基于土地整治绩效空间差异和潜力分级的投入优先序研究[J]. 水土保持通报, 2018,38(1):192-197. DOI: 10.13961/j.cnki.stbctb.2018.01.034.
CHENG Wenshi, HUANG Xin, LIU Yang, et al. Input Priority of Spatial Difference and Potential Classification Based on Land Remediation Performance[J]. Bulletin of Soiland Water Conservation, 2018, 38(1): 192-197. DOI: 10.13961/j.cnki.stbctb.2018.01.034.
[目的]分析评价土地整治绩效和潜力分级现状,确定土地整治投入优先序的依据和标准。[方法]采用数据包络分析模型(DEA)对甘肃省华池县已实施的36个土地整治项目绩效评价的基础上,通过对各乡(镇)土地整治的生态潜力、数量潜力和质量潜力的比较,确定各乡镇土地整治优先序。[结果]①华池县土地整治的技术效率、规模效率和综合效率较高,分别为0.984,0.984,0.969,各乡(镇)的空间差异不大;②土地整治的数量潜力、质量潜力和生态潜力则差异较大;③将全县划分为2个优先投入区、5个次优先投入区、3个一般投入区、5个投入紧缩区。[结论]结合土地整治绩效空间差异和潜力分级确定的投入优先序科学合理,是一种理想的方法。
[Objective] To analyze and evaluate the status of land remediation performance and potential grading
we aim to determine the basis and standard of land remediation input priority.[Methods] Using the data envelopment analysis model (DEA)
the performance of 36 land remediation projects implemented in Huachi County of Gansu Province was evaluated. By comparing the ecological potential
quantity potential and the quality potential of different townships (towns)
the input priority of the land remediation was determined.[Results] ① The technical
scale and comprehensive efficiency of land remediation in Huachi County was relatively high
which was 0.984
0.984 and 0.969
respectively
and there were no obvious spatial differences among different townships (towns). ② There were large differences among the quantitative potential
the quality potential and the ecological potential of land remediation. ③ The county could be divided into 2 priority input areas
5 secondary priority input areas
3 general input areas and 5 tightening input areas.[Conclusion] It is an ideal method to combine the spatial difference and potential of the performance of land remediation to determine the input priority.
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