东北大学学报(社会科学版) ›› 2016, Vol. 18 ›› Issue (6): 593-598.DOI: 10.15936/j.cnki.1008-3758.2016.06.007

• 经济与管理研究 • 上一篇    下一篇

沈阳市土地供应绩效评价与影响因素研究

李静   

  1. (东北大学工商管理学院,辽宁沈阳110819)
  • 收稿日期:2016-03-18 修回日期:2016-03-18 出版日期:2016-11-25 发布日期:2016-11-18
  • 通讯作者: 李静
  • 作者简介:李静(1973-),女,辽宁沈阳人,东北大学讲师,经济学博士,主要从事区域经济学研究。
  • 基金资助:
    辽宁省社会科学规划基金资助项目(L12BJL019);辽宁省社会科学联合会资助项目(2013lslktzijjx-19)。

On the Evaluation and Influential Factors of Land Supply Performance in Shenyang

LI Jing   

  1. (School of Business Administration, Northeastern University, Shenyang 110819, China)
  • Received:2016-03-18 Revised:2016-03-18 Online:2016-11-25 Published:2016-11-18
  • Contact: -
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摘要: 以优化土地资源配置为目的, 针对当前沈阳城市土地供应中存在的总量偏大、结构不合理等问题,采用2006—2015年的数据,以土地供应面积、固定资产投资等为输入单元, 以GDP、土地出让收益等为输出单元,运用DEA数据包络分析方法对土地供应的总体效率进行了评价,发现沈阳市土地供应综合技术效率不高,其中既有纯技术效率的影响也有规模效率的影响,土地的规模收益有相当年份都表现为规模报酬递减,说明沈阳市经济发展过程中土地供应很多时候超过了最优规模。进一步通过回归分析,得出影响沈阳市土地供应绩效的几个主要因素为:经济发展水平、产业结构升级、城镇化水平等,为提高城市未来土地供应绩效提供借鉴。

关键词: 沈阳市, 土地供应, 绩效评价, DEA方法

Abstract: To optimize the allocation of land resources and solve such problems as the oversupply and the imperfect structure of Shenyangs gross area of urban land, the DEA method was applied to evaluate the overall efficiency of land supply in Shenyang by taking land supply area and fixed assets investment as the input unit and land-grant fee and GDP as the output unit. Based on the data from 2006 to 2015, it was shown that the overall technological efficiency of land supply in Shenyang is not high, which is affected by both pure technological efficiency and scale efficiency. The land scale return has decreased for many years, which indicates that Shenyangs land supply well exceeds the optimal scale in its economic development. A further regression analysis found that the main influential factors of land supply efficiency are the level of economic development, the industrial structure upgrading, the level of urbanization, and soon. The findings may provide reference for improving the performance of urban land supply in the future.

Key words: Shenyang, land supply, performance evaluation, DEA method

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