长江流域资源与环境 >> 2016, Vol. 25 >> Issue (06): 913-924.doi: 10.11870/cjlyzyyhj201606007

•　自然资源　• 上一篇    下一篇

环境约束下大都市城郊土地利用结构评价——基于信息熵和非期望产出模型分析

任国平1,2, 刘黎明1, 付永虎1, 袁承程1   

  1. 1. 中国农业大学资源与环境学院, 北京 100193;
    2. 湖南城市学院城市管理学院, 湖南 益阳 413000
  • 收稿日期:2015-09-14 修回日期:2015-12-02 出版日期:2016-06-20
  • 通讯作者: 刘黎明 E-mail:liulm@cau.edu.cn
  • 作者简介:任国平(1982~),男,博士研究生,主要研究方向为土地可持续发展和乡村景观规划.E-mail:renguoping82@163.com
  • 基金资助:
    国家自然科学基金项目(41471455)

EVALUATION OF LAND USE STRUCTURE UNDER THE ENVIRONMENTAL RESTRICTION IN METROPOLITAN SUBURBS——BASED ON INFORMATION ENTROPY AND SBM-UNDESIRABLE MODLE

REN Guo-ping1,2, LIU Li-ming1, FU Yong-hu1, YUAN Cheng-cheng1   

  1. 1. College of Resources and Environment, China Agricultural University, Beijing 100193, China;
    2. College of Urban Management, Hunan City University, Yiyang 413000, China
  • Received:2015-09-14 Revised:2015-12-02 Online:2016-06-20
  • Supported by:
    National Natural Science Foundation of China (Grant No. 41471455)

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摘要： 土地利用过程中会产生期望和非期望产出,针对以往土地利用结构评价中忽略环境产生的非期望产出而影响土地利用结构效率真实性问题,以大都市城郊的上海青浦区为例,宏观上,运用信息熵模型对该区2005~2014年土地利用结构有序性进行评价;微观上,运用非期望产出模型测算青浦区研究期间土地利用结构效率,为寻求区域土地利用结构效率损失的原因及改善途径提供参考。结果表明:(1)2005~2014年青浦区土地利用结构信息熵值时序上呈现"M"形变化趋势,空间上由中部向东西两翼递减;(2)2005~2014年青浦区土地利用结构效率变化趋势在时间序列上呈现"W"形变化趋势,空间上由中部的中心城区向东西两翼递减格局;(3)将环境的负产出纳入非期望产出模型进行土地利用结构效率评价,能更加准确的反映土地利用结构效率的真实性;(4)影响青浦区土地利用结构效率水平变化的主要因素为纯技术效率的变化,资源过度消耗和环境污染物排放过量是制约青浦区土地利用结构效率提升的主要原因。针对土地利用结构效率损失的原因及区域差异提出效率提升途径。研究结果可为青浦区土地利用结构优化和可持续发展提供科学借鉴。

关键词: 土地利用结构, 土地利用结构效率, 非期望产出模型, 信息熵, 青浦区

Abstract: Land using procession will produce the expected and unexpected output. In the past, evaluation of land use structure ignored the unexpected output which was produced by environment. In this paper, we used the information entropy model to evaluate the land use structure in Qingpu District of Shanghai city during 2005–2014, and used the SBMUndesirable model to evaluate the land use structure efficiency in this area. On the basis of that, we try to find the reasons for the loss of regional land use structure efficiency and the improving ways. The results showed as follows. (1)The land use structure information entropy in Qingpu District was significantly different from that in the central to East and West. The land use structure information entropy sequence showed "M" trend and fluctuation obviously during 2005–2014. The value of spatial information entropy declined from the city center in the middle to the two sizes, the value of spatial information entropy in the western region was lower than that in the Eastern region. (2)Land use structure efficiency in Qingpu District was significantly different from that in the central to East and West. The Land use structure efficiency sequence showed "W" trend and fluctuation obviously during 2005–2014. The value of spatial Land use structure efficiency declined from the city center in the middle to the two sizes, and the value of Land use structure efficiency in the eastern region was lower than that in the western region. (3)If putting the negative output of the environment into the SBMUndesirable model to evaluate the land use structure efficiency, it could more accurately reflect the authenticity of the land use structure of the efficiency. (4)The key factor of affecting the land use structure change efficiency in Qingpu District was the pure technical efficiency, and superfluous resource consumption and environmental pollutant emissions were the main reasons for the improvement of land use efficiency in Qingpu District. Excessive consumption of resources and environmental pollutant emissions were the main reasons for the improvement of the efficiency of land use structure in Qingpu district. Aiming at the reasons for the loss of land use structure and regional differences, the efficiency of the proposed method was put forward. The research results could provide scientific reference for the optimization of land use structure and sustainable development in Qingpu District.

Key words: land use structure, land use structure efficiency, SBM-Undesirable Model, information entropy, Qingpu District

中图分类号: 

  • F301
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