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基于数据包络分析法的吉林省土地利用生态效率时空演化规律研究
引用本文:谢曼曼,李秀霞.基于数据包络分析法的吉林省土地利用生态效率时空演化规律研究[J].水土保持通报,2015,35(3):225-230.
作者姓名:谢曼曼  李秀霞
作者单位:吉林师范大学旅游与地理科学学院
基金项目:吉林省科技厅项目“吉林省西部土地生态安全与土地资源利用优化研究”(201115086);吉林省科技厅项目(201201080);吉林省科技发展计划项目(20120691)
摘    要:目的]分析吉林省土地利用生态效率时空演化规律,提出土地利用优化方案。方法]利用数据包络分析(DEA)的CCR-I模型,对2002—2011年吉林省9个地市(州)的土地利用生态效率进行评价。结果](1)2002—2011年吉林省松原、白城、延边3个地市(州)土地利用生态效率均为DEA有效;而长春、吉林、四平、辽源、通化、白山这6个地市的土地生态效率呈波动式变化;(2)吉林省的土地利用生态效率呈现中部低而东、西部高的空间分布规律.结论]氨氮、COD、二氧化硫、废水、烟尘等排放量是影响土地利用生态效率低下的主要因素。

关 键 词:土地利用生态效率  数据包络分析(DEA)  时空演化  吉林省
收稿时间:2014/7/20 0:00:00
修稿时间:9/2/2014 12:00:00 AM

Research on Spatiotemporal Evolution Regulation of Eco-efficiency of Land Utilization in Jilin Province Based on Data Envelopment Analysis
XIE Manman and LI Xiuxia.Research on Spatiotemporal Evolution Regulation of Eco-efficiency of Land Utilization in Jilin Province Based on Data Envelopment Analysis[J].Bulletin of Soil and Water Conservation,2015,35(3):225-230.
Authors:XIE Manman and LI Xiuxia
Institution:XIE Manman;LI Xiuxia;Faculty of Tourism and Geographical Sciences,Jilin Normal University;
Abstract:Objective] To analyze the spatiotemporal evolution regulation of eco-efficiency of land utilization in order to put forward an optimization scheme on land utilization in Jilin Province. Methods] The eco-efficiency of land utilization of the nine cities and areas in Jilin Province during 2002 to 2011 were evaluated based on the CCR-1 model of the data envelopment analysis(DEA). Results] (1) In terms of DEA, the eco-efficiency of land utilization in Songyuan, Baicheng, Yanbian of Jilin Province are all effective, while the data in Changchun, Siping, Jilin, Liaoyuan, Tonghua and Baishan cities of Jilin Province were fluctuant. (2) The eco-efficiency of land utilization in the center area of Jilin Province is low while the efficiency in the east and west area is relatively high. Conclusion] The emissions of ammonia nitrogen, COD, sulfur dioxide, waste water and dust are the main influencing factors related to the eco-efficiency of land utilization.
Keywords:eco-efficiency of land utilization  data envelopment analysis(DEA)  spatiotemporal evolution  Jilin Province
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