基准地价变化及其驱动因子分析研究——以天水市秦州区为例

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英文篇名：Analysis on driving forces of standard land price based on the principal component analysis——taking Qinzhou District,Tianshui City as a case 作者：闫炳舟 ; 陈英 英文作者：YAN Bing-zhou;CHEN Ying;College of Resources and Environmental Sciences,Gansu Agricultural University; 关键词：基准地价 ; 驱动因子 ; 内部结构比率 ; 主成分分析 ; 天水市秦州区 英文关键词：standard land price;;driving factor;;ratio of internal structure;;principal component analysis;;Qinzhou District,Tianshui City 中文刊名：GSND 英文刊名：Journal of Gansu Agricultural University 机构：甘肃农业大学资源与环境学院; 出版日期：2015-04-15 出版单位：甘肃农业大学学报 年：2015 期：v.50;No.188 语种：中文; 页：GSND201502023 页数：9 CN：02 ISSN：62-1055/S 分类号：139-147

摘要

根据天水市秦州区2007年和2013年基准地价的更新成果,通过计算同级各类地价比率指数、同级各类地价环比指数、同类各级地价比率指数、同类各级地价环比指数在内的基准地价内部结构比率关系,并在计算结果分析比较的基础上,采用主成分分析法对影响天水市秦州区基准地价变化的驱动因子进行分析.结果表明:秦州区各类用地的地价均处于上升阶段,其中各级土地均为商业地价大于住宅地价大于工业地价;居住用地价格近些年增长较快,尤其在Ⅰ、Ⅱ级地上;工业用地的Ⅴ、Ⅵ级地价较其他级增长显著,反映出秦州区工业向城市周围转移的趋势.主成分分析中第1、第2主成分的累计贡献率高达96.263%,其中第1主成分的贡献率为86.768%,第2主成分的贡献率为9.496%.研究结果表明,引起天水市秦州区基准地价动态变化的主要内在驱动因子为经济发展水平、城市规模、基础设施完善度和交通便捷性.
        This paper analyzed the standard land price variation from 2007 to 2013in Qinzhou District,Tianshui City.The price data,land price ratio index and various land price ratio chain index at the same level were calculated as well as the same kind of level price rate index and level land price ratio chain index.This paper studied the driving forces of standard land price changing in Qinzhou District,Tianshui City by using principal component analysis.The results showed that the land price of various types were rising in Qinzhou District,the price of commercial land was much higher than that of the residential land and industrial land in each level.Residential land price increased rapidly in recent years,especially in the I and II class ground;V and VI class of industrial land premium were significantly higher that of the other classes,this reflecting the industrial transfer to the surrounding city.In principal component analysis,the first and the second principal component cumulative contribution rate was up to 96.263%,of which the contribution of the first principal component was 86.768%,while that of the second principal component was 9.496%.The results revealed that fundamental inner driving factors were the level of economic development,city size,in-frastructure improvement and convenient transportation.

引文

[1]黄鑫,陈英,张仁陟.西部卫星型小城镇工业用地基准地价测算方法研究:以兰州市皋兰县为例[J].甘肃农业大学学报,2011,46(4):105-111
    [2]张裕风,李静.呼和浩特市旗县城镇基准地价及其影响因素比较分析[J].地理研究,2007,26(3):373-382
    [3]葛京凤,黄志英,张文忠.大连基准地价评估的容积率内涵及其修正系数的确定-以石家庄市为例[J].地理与地理信息科学,2003,19(3):98-108
    [4]沈晶,吴群.我国基准地价评估方法研究[J].资源与产业,2007,9(2):74-76
    [5]张秋玲.城镇土地级别与基准地价更新调整研究-以新郑市为例[D].郑州:河南农业大学,2009
    [6]刘海龙,张仁陟,陈英.兰州市基准地价变化成因分析[J].黑龙江农业学,2011(5):99-101
    [7]周瑞平.呼和浩特市城市基准地价变化的驱动因子分析[J].干旱区资源与环境2004,18(9)126-129
    [8]乔云.基于GIS的城镇土地定级与基准地价更新研究[D].呼和浩特:内蒙古师范大学,2008
    [9]贺心刚.基于GIS和RS的城镇土地定级与基准地价更新研究[D].面昌:江西农业学,2011
    [10]甄江红,赵明,苏根成等.呼和浩特市区基准地价结构变动分析[J].干旱区资源与环境,2004,18(5):93-98
    [11]井元霞.农安县基准地价更新方法及其动态发展研究[D].长春:吉林大学,2007
    [12]李元铭,张仁陟,陈英.张掖市基准地价的动态分析[J].黑龙江农业科学,2010(7):128-131
    [13]王国梁,何晓群.多变量经济数据统计分析[M].陕西:陕西科学技术出版社,1993
    [14]谢先全,宋晓波.厦门市城市基准地价的动态变化[J].集美大学学报,2009,14(2):213-217
    [15]徐建华.现代地理学中的数学方法[M].北京:高等教育出版社,2002
    [16]胡小飞.丰顺县城地价时空变化及其驱动机制研究[D].长沙:中南林业科技大学,2010