土地集约利用空间分异研究中指标标准化方法研究

doi:10.11870/cjlyzyyhj201510020

长江流域资源与环境 >> 2015, Vol. 24 >> Issue (10): 1771-1778.doi: 10.11870/cjlyzyyhj201510020

土地集约利用空间分异研究中指标标准化方法研究

李仕川¹, 郭欢欢^2,3, 侯鹰⁴, 张孝成^2,3, 庞静^2,3

1. 重庆市国土资源和房屋管理局, 重庆 400015;
2. 重庆市国土资源和房屋勘测规划院, 重庆 400020;
3. 重庆市土地利用与遥感监测工程技术研究中心, 重庆 400020;
4. 中国科学院生态环境研究中心, 城市与区域生态国家重点实验室, 北京 100085

收稿日期:2015-05-06 修回日期:2015-06-30 出版日期:2015-10-20
通讯作者: 郭欢欢,E-mail:guohuan2009@126.com E-mail:guohuan2009@126.com
作者简介:李仕川(1966~),男,正高级工程师,主要研究方向为土地资源管理.
基金资助:
国土资源部公益性行业科研专项资助(201311006)

METHODS OF INDICATOR NORMALIZATION IN THE EVALUATION OF SPATIAL VARIATION OF INTENSIVE LAND USE

LI Shi-chuan¹, GUO Huan-huan^2,3, HOU Ying⁴, ZHANG Xiao-cheng^2,3, PANG Jing^2,3

1. Chongqing Administration of Land, Resources and Housing, Chongqing 400015, China;
2. Chongqing Land Resources and Housing Surveying & Planning Institute, Chongqing 400020, China;
3. Chongqing Land Use and Remote Sensing Engineering Research Center, Chongqing 400020, Chongqing, China;
4. State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China

Received:2015-05-06 Revised:2015-06-30 Online:2015-10-20

摘要/Abstract

摘要： 土地集约利用空间分异研究中指标标准化通常采用极差标准化等方法,这类方法默认各区域集约临界值相同,从而使得评价中区位好的区域土地集约水平高于区位差的区域。基于级差地租Ⅰ和级差地租Ⅱ理论提出新的指标标准化方法,指出传统指标标准化方法的问题,并以重庆市耕地集约利用空间分异为例进行实证比较。研究充分考虑了不同区域因禀赋差异造成的单项指标理想值(临界值)的差异,弥补了传统指标标准化方法的不足,有助于完善土地集约利用空间分异的研究。研究表明:土地利用集约度是一个相对概念,其参照物为区域土地集约临界点,理论基础是级差地租Ⅱ;区位不同导致区域间土地利用强度存在差异,它是级差地租Ⅰ的一类现象,这类差异可称为"禀赋差异";每个区位点适度指标标准化值Y与该区位指标现状值x₁₁和集约临界点x₁有关,与其他区位指标现状值无关;传统标准化方法将指标现状值或现状平均值设为集约临界值,没有考虑不同区位集约临界点差异,因而空间分异结果更符合土地收益空间分异规律;重庆市耕地集约利用度空间分异研究表明该方法在空间分异、集约度绝对值和区县集约度比较等方面优于传统方法,更符合不同区县耕地利用实际。

关键词: 指标标准化, 土地集约评价, 空间分异, 地租理论, 重庆市

Abstract: The traditional methods of indicator normalization such as maximum difference normalization were used in the research of spatial variation of intensive land use. These methods seldom considered the effect of location differences and assumed the same critical point of intensive level at different locations, leading to higher land use intensive levels at better locations. This paper pointed out the shortcomings of the traditional normalization methods and built a theoretical model of spatial variation of land use intensive level based on the theory of differential rent I and differential rent II, and tested the model by assessing the spatial variation of the intensive level of the cultivated land Chongqing. This study considered the difference of the ideal value (critical value) of a single indicator caused by endowment variation of different regions. Therefore, it may overcome the shortcomings of the traditional indicator normalization methods and improve the research on the spatial variation of intensive land use. The results showed that: the land use intensive level is a relative concept, the reference frame of which is the critical point of regional land use intensive level and the theory basis is differential rent II. The location differences cause the differences of regional land use intensity, which is a type of differential rent I and can be called "endowment variation". The normalized value Y of a moderate indicator of one location has relationship with the actual value and the critical point of intensive level of this location, which has no relationship with the actual values of other locations. The traditional normalization methods set actual value or actual average value as the critical point of intensive level, leading to the consistence of the result with the spatial variation of land reward. The spatial variation assessment of the cultivated land intensive level of Chongqing showed that the theoretical model is better than traditional methods in the investigation of spatial variation, intensive level of land use and the comparison between counties. The theoretical model more conforms to the real cultivated land use of different counties than traditional methods.

Key words: normalization methods, evaluation of intensive land use, spatial variation, land rent theory, Chongqing

中图分类号:

U260

李仕川, 郭欢欢, 侯鹰, 张孝成, 庞静. 土地集约利用空间分异研究中指标标准化方法研究[J]. 长江流域资源与环境, 2015, 24(10): 1771-1778.

LI Shi-chuan, GUO Huan-huan, HOU Ying, ZHANG Xiao-cheng, PANG Jing. METHODS OF INDICATOR NORMALIZATION IN THE EVALUATION OF SPATIAL VARIATION OF INTENSIVE LAND USE[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2015, 24(10): 1771-1778.

参考文献

[1] 梁流涛,赵庆良,陈聪.中国城市土地利用效率空间分异特征及优化路径分析——基于287个地级以上城市的实证研究[J].中国土地科学,2013,27(7):48-54.
[2] 于尚云,郭建科.辽宁省城市土地利用集约度测定及其时空差异[J].经济地理,2014,34(11):140-145.
[3] 王成新,刘洪颜,史佳璐,等.山东省省级以上开发区土地集约利用评价研究[J].中国人口·资源与环境,2014,24(6):128-133.
[4] 朱一中,曹裕.基于PSR模型的广东省城市土地集约利用空间差异分析[J].经济地理,2011,31(8):1375-1380.
[5] 曹银贵,郑新奇,胡业翠.区域建设用地集约利用评价研究——以济南市为例[J].经济地理,2010,30(6):1016-1020.
[6] 张杨,严金明,石义.武汉市东湖风景区旅游用地的集约利用评价及管控对策[J].中国土地科学,2014,28(4):33-45.
[7] 李昌峰,武清华,张落成.土地集约利用与经济发展的空间差异研究——以长江三角洲为例[J].经济地理,2011,31(2):294-299.
[8] 国土资源部.建设用地节约集约利用评价规程[S].TD/T 1018-2008.
[9] ZHENG X,XUE C,YUAN Z.Intensive variable and its application[M].Springer Briefs in Geography,2014.
[10] 兰玲.马克思与李嘉图的地租理论比较研究[J].改革与战略,2010,26(4):14-17.
[11] 卫新东,王筛妮,员学锋.农用地集约利用变化过程研究——以陕西省扶风县为例[J].水土保持研究,2011,18(3):243-246.
[12] 杨吾扬.区位论原理[M].兰州:甘肃人民出版社,1989.
[13] 卫新东,王筛妮,员学锋.宝鸡市农村居民点土地集约利用评价及潜力分析[J].水土保持通报,2011,31(4):223-226.
[14] 高鸿业.西方经济学(微观部分)[M].(4版).北京:中国人民大学出版社,2007.
[15] 翟文侠,黄贤金,张强,等.开发区土地集约利用研究——以江苏省为例[J].地域研究与开发,2006,25(1):101-105.
[16] 王成新,张本利,姚士谋.山东省土地集约利用评价及其时空差异研究[J].中国人口资源与环境,2012,22(7):109-113.
[17] 周克昊,刘艳芳,谭荣辉,等.区域建设用地节约集约利用评价理想值确定——以武汉市为例[J].国土资源科技管理,2013,30(1):57-64.
[18] 罗洁琼.基于空间数据挖掘的重庆土地集约利用空间分异分析[J].湖北农业科学,2013,52(2):295-298.
[19] 王国刚,刘彦随,陈秧分.中国省域耕地集约利用态势与驱动力分析[J].地理学报,2014,69(7):907-915.
[20] 朱会义,孙明慧.土地利用集约化研究的回顾与未来工作重点[J].地理学报,2014,69(9):1346-1357.
[21] ERB K,HABERL H,JEPSEN M,et al.A conceptual framework for analyzing and measuring land-use intensity[J].Current Opinion in Environmental Sustainability,2013,5:464-470.
[22] 王雪,杨庆媛,何春燕,等.基于P-S-R模型的生态涵养发展型区域土地生态安全评价——以重庆市丰都县为例[J].水土保持研究,2014,21(3):169-175.
[23] 刘涓,谢谦,倪九派,等.基于农业面源污染分区的三峡库区生态农业园建设研究[J].生态学报,2014,34(9):2431-2441.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed