利用长沙市2003~2009年上半年的土地交易资料,采用GIS空间分析和计量经济学相结合的方法,得出长沙市区商业、住宅和工业出让地价分布的空间结构图,分析三类用地地价的空间分布特征及其影响因素。结果表明:(1)土地用途不同,其地价的空间分布也不同,商业地价对商服繁华度要求较高,高值区集聚在市中心(以五一广场为中心);住宅地价对环境质量要求较高,高值区相对商业地价集聚度有所下降;工业地价由于有较高的对外交通条件要求,其空间分布相对比较分散、均匀。(2)作为典型的单一中心城市,长沙各类地价空间变化的影响因素,因土地用途而异,但商服中心影响度对三类地价都存在显著影响。
Based on the land transaction data in Changsha from 2003 to the first half of 2009, GIS and econometrics methods were used to compile three spatial structure maps on the distribution of commercial, residential and industrial land prices. Then this paper analyzed the spatial distribution of the three types of land prices and its influencing factors in Changsha. The results are shown as follows. First, the spatial distribution of land price is different in terms of land use types. Commercial land price calls more for the degree of CBD, and the high value areas are concentrated near the center of the city—Wuyi square. Residential land price is consistent with the level of environment quality, and compared with commercial land price, the degree of aggregation for areas with high values comes down to some extent. Industrial land price, which depends more on external traffic factors, is relatively sparsely and evenly distributed in space. Second, the factors affecting the spatial variation of the three types of land are different due to different usages of the land. Degree of CBD is the most important factor among the factors affecting spatial land change in the single central city—Changsha land price, which also has significant influence on the three types of land use.
[1] Diana Weinhold,Eustaqiuo Reis. Transportation costs and the spatial distribution of land use in the Brazilian Amazon. Global Environmental Change,2008,18(1):54~68.
[2] Ademola K Braimoh, Takashi Onishi. Spatial determinants of urban land use change in Lagos, Nigeria. Land Use Policy, 2007, 24(2):502~515.
[3] Asao Ando,Ryuichi Uchida.The space-time structure of land prices in Japanese metropolitan areas.The Annals of Regional Science, 2004, 38(4):655~674.
[4] Joachim Mller.Regional variations in the price of building land: A spatial econometrics approach for West Germany.The Annals of Regional Science, 2009, 43(1):113~132.
[5] Chihiro Shimizu,Kiyohiko G Nishimura.Pricing structure in Tokyo metropolitan land markets and its structural changes: Pre-bubble, bubble, and post-bubble periods.The Journal of Real Estate Finance and Economics, 2007, (4):475~496.
[6] 杨继瑞.影响城市地价的因素体系探析.城市规划汇刊,1994,(5):14~19.
[7] 倪绍祥,王玲霞. 城市土地综合基准地价评估方法探讨.地理研究,1994,13(4):36~42.
[8] 郑新奇,王家耀,阎弘文, 等. 数字地价模型在城市地价时空分析中的应用.资源科学,2004,26(1):14~21.
[9] 王 真,郭怀成,何成杰, 等.基于统计学的北京城市居住用地价格驱动力分析.地理学报,2009,64 (10):1214~1220.
[10] 武文杰,刘志林,张文忠.基于结构方程模型的北京居住用地价格影响因素评价.地理学报,2010,65(6):676~684.
[11] 张丽芳,濮励杰,张 静, 等.基于 Hedonic 模型的城市地价空间结构分析——以湖南省娄底市为例.经济地理,2009,29(9):1475~1480.
[12] 张洪,金杰.城市地价空间的计量经济分析——以昆明市为例.资源科学,2007,(4):25~32.
[13] 刘娟,傅兆君.南京市城市地价分布特征与区位影响因素研究.南京审计学院学报,2009,(1):19~26.
[14] 张裕凤,李静. 呼和浩特市旗县城镇基准地价及影响因素比较分析.地理研究,2007,26(2):373~382.
[15] 王春芝,仲少云.区位因素对商业用地地价的影响—以烟台市为例.鲁东大学学报: 哲学社会科学版, 2009,26(2):25~28.
[16] 张鸿辉,曾永年,金晓斌.南京市城市地价空间自相关分析.南京大学学报: 自然科学版, 2009,45(6):821~830.
[17] 徐勋光,周晓艳,关兴良.基于Surfer软件与GIS空间分析方法的中小城镇住宅地价空间分布规律的研究——以福建省德化县为例.华中农业大学学报: 社会科学版, 2008,(5):34~39.
[18] 吕萍,甄辉.基于 GWR 模型的北京市住宅用地价格影响因素及其空间规律研究. 经济地理,2010, 30(3):472~478.
[18] 黄小兰,杨小雄,冯小丽.城市土地价格变化影响因素分析——以桂平市为例. 广西师范学院学报: 自然科学版,2008,25(3):89~93.
[19] 严星,林增杰.城市地产评估(上、下册). 北京:中国人民大学出版社, 1993.
[20] 周刚华.城市土地价格的微观影响因素及其实证研究. 浙江:浙江大学博士学位论文,2004.
[21] 葛京风.地产价格评估原理与方法. 北京:中国环境科学出版社, 2002.