东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (11): 1657-1661.DOI: -

• 论著 • 上一篇    下一篇

沈阳城市土地供应效率的评价与优化

齐锡晶;戴子龙;邓李杰;胡乃龙;   

  1. 东北大学资源与土木工程学院;沈阳市房地产研究所;沈阳工程学院管理工程系;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-11-15 发布日期:2013-06-22
  • 通讯作者: Qi, X.-J.
  • 作者简介:-
  • 基金资助:
    辽宁省自然科学基金资助项目(20072010)

Evaluation and optimization of urban land supply efficiency in Shenyang

Qi, Xi-Jing (1); Dai, Zi-Long (2); Deng, Li-Jie (3); Hu, Nai-Long (1)   

  1. (1) School of Resources and Civil Engineering, Northeastern University, Shenyang 110004, China; (2) Shenyang Real Estate Institute, Shenyang 110041, China; (3) Department of Management Engineering, Shenyang Institute of Engineering, Shenyang 110163, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-11-15 Published:2013-06-22
  • Contact: Qi, X.-J.
  • About author:-
  • Supported by:
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摘要： 以优化资源配置、促进经济与房地产可持续发展为目的,针对当前沈阳城市土地供应中存在的总量偏大、空间配置不均衡、结构欠佳等问题,采用2002～2006年的数据,以供地面积、固定资产投资等为输入单元,以土地出让金、GDP等为输出单元,运用DEA数据包络分析(C2R模型)评价了土地供应的总体效率以及空间结构、用途结构等效率.并结合实例,测算出决策单元指标的投入冗余和产出不足值;同时就非DEA有效年份,利用投影理论提出了对应的改进建议,实现了改进后的效益预测.有关方法可以成为未来评价城市土地供应效率的重要工具.

关键词: 城市土地, 供应效率, 数据包络分析, 评价, 优化

Abstract: To optimize the allocation of resources and make the economic development especially the real estate sustainable in Shenyang, such existing problems as the gross area of urban land oversupplied and imbalance spatial allocation with imperfect structure have to be solved. Based on the data from 2002 to 2006 and taking the area of land supplied and investments in fixed assets as input units, with land-grant fee and GDP as output units, the DEA (data envelopment analysis) or C2R model was made to evaluate the overall efficiency and the efficiency of space/usage structure of land supply in accordance to an example, then the values of input redundancy and output deficiency of unit index in decision making were calculated. Furthermore, some suggestions were therefore offered about the improvement based on projection theory for the non-DEA effective years, thus realizing the benefit prediction after improvement. The method mentioned above will be of importance to the evaluation of urban.

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