摘要
为探求更合适的开发区土地集约利用评价方法,文章以南京市11个典型开发区为例,运用模糊物元分析法和灰色关联分析法对开发区土地集约利用水平进行评价,并与多因素综合评价法进行比较分析。研究结果表明:南京各开发区之间的集约用地水平呈现出明显的差异,只有南京高新技术产业开发区、南京经济技术开发区的土地集约利用级别为"高度集约级",其余的开发区土地集约利用级别为"中度集约级"和"轻度集约级";南京各开发区集约用地主要限制因子各不相同,但主要为综合容积率、工业用地综合容积率、工业用地固定资产投入强度、工业用地产出强度等;与多因素综合评价法相比,采用模糊物元模型不仅能反映评价对象的综合集约等级,也能反映评价对象单项指标的集约等级,还能反映评价对象或评价对象单项指标在所属集约等级的稳定状态和转化趋势,反映的信息更丰富,是一种更适应土地集约利用评价的方法。
In order to explore a more suitable land intensive use evaluation method, this paper evaluated11 typical development zone land intensive use with the theory of gray and matter element model, and the results were compared with that by comprehensive evaluation method. The results show that: Nanjing Development Zones intensive land level shows a significant difference, only the Nanjing high tech Industrial Development Zone, Nanjing economic and Technological Development Zone intensive land use level is "highly intensive level ", the rest of development zones intensive land use level is "moderate intensive level" and "light intensive level"; The main limiting factors of intensive land use in Nanjing development zones are different, but the main factors are comprehensive volume ratio, comprehensive volume ratio of industrial land, fixed assets investment intensity of industrial land, industrial output intensity, and so on; Compared with multi-factor comprehensive evaluation method, the mater-element model not only can reflect comprehensive intensive level of evaluation objects, also can reflect intensive level of single index of evaluation objects, and also can reflect the steady state level and transformation trend of evaluation object and its single index. Due to matter-element model can reflect more abundant information, so it is a valuable method in land intensive use assessment.
出处
《重庆大学学报（社会科学版）》
CSSCI
北大核心
2018年第1期11-21,共11页
Journal of Chongqing University(Social Science Edition)
基金
国家社会科学基金项目"我国耕地保护的障碍因素与政策创新研究"(09BZZ023)
南京市国土资源局项目"南京市国土资源节约集约利用综合评价"
关键词
开发区
土地集约利用
模糊物元模型
南京市
development zone
intensive of land
matter element model
Nanjing city
