2001-2010年南京市区土地出让价格的影响因素
Influencing factors of land price in Nanjing Proper during 2001-2010
查看参考文献64篇
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文摘
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土地价格作为土地市场中最具代表性和敏感性的要素,一直是土地市场运行的核心。为进一步厘清城市发展过程中不同类型土地出让价格的主要影响因素,在土地供需理论基础上,构建了土地价格影响因素的理论分析研究框架;并以南京市区96个乡(镇、街道)为基本研究单元,借鉴特征价格模型分析方法,利用2001-2010年土地出让数据,对住宅、工业、商服3种不同用地类型的价格分布影响因素进行分析。结果表明,以经济、人口、区位及配套设施为核心的需求要素,以及以地质地貌与自然景观为核心的供给要素,共同对土地价格产生影响。不同用地类型的价格空间分布特征及影响因素存在一定差异:住宅用地更多受需求要素影响,人口规模越大,经济发展潜力越好,区位条件越优越,其地价越高;工业用地受需求要素影响相对较小,而供给要素对其价格影响相对较大;商服用地规模门槛较高,环境影响较小,因此其价格主要受需求要素中地方经济水平、人口规模,以及到CBD的距离等交通条件的影响,而受供给因素影响不显著。 |
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其他语种文摘
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As one of the most representative and sensitive elements, land price has always been the core of the land market and the focus of the studies. Especially in recent years the land finance provides important support for rapid urbanization in China, which has made the land market and the pricing mechanism a focus of academic research. Current studies have achieved a lot, but most of these studies are based on either a single type, or a single year. Also, most of these studies lack scientific theoretical frameworks. In order to further affirm the main factors influencing the different types of land prices during the developmental process, this paper builds an analysis framework for influencing factors of land price based on the theory of supply and demand. In a perfectly competitive market, the curve of supply-and-demand has great effects on the land pricing process together with its corresponding supply-and-demand amount. From a geographical perspective, the demand amount of urban land is mainly affected by the factors such as market, location, facilities and so on, whereas the natural supply amount of urban land is mainly affected by the factors such as local landscapes, geological features and any other natural conditions. Meanwhile, monopoly behaviors, government regulation controls also have impacts on urban land prices all the time. In this paper, we take the 96 towns of Nanjing Proper as basic analysis units, and use the transaction data of residential, industrial, commercial land during 2001-2010 to simulate the main factors influencing the three different types of land prices with the Hedonic model. The results demonstrate that the demand factors such as economic, demographic, location and facilities, as well as the supply factors such as geological features and natural landscape, both have impacts on the land prices. But the impacts on the different types of land prices are not the same: the residential land price is more affected by demand factors. The larger the population size, the better the potential for economic development, the more favorable geographic conditions, the more opportunities to have higher residential land prices; the industrial land is relatively weakly influenced by the demand factors, and more influenced by the supply factors; the commercial activities require a relatively higher scale, but with less environmental impact. So the commercial land price is mainly affected by the level of demand factors, such as the local economy, population size, distance to the CBD and other traffic conditions, and the supply factors had no significant effects. Compared with the previous studies focusing on natural and geographic conditions, this study considers more humanity factors. And the theoretical framework built in our study may be of great significance for urban land pricing both in theory and in practice. One drawback is that we just take the towns as the basic analysis units. So, we cannot take the land area of each transaction into account. As a result, the scale benefit might be ignored. And that is just what should be taken into consideration in our future work. |
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来源
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地理科学进展
,2014,33(2):211-221 【核心库】
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关键词
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城市土地价格
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供需理论
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影响因素
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南京市区
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地址
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中国科学院南京地理与湖泊研究所, 南京, 210008
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1007-6301 |
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学科
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社会科学总论 |
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基金
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国家自然科学基金项目
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林肯土地政策研究院基金项目
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文献收藏号
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CSCD:5062852
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参考文献 共
64
共4页
|
|
1.
曹天邦. 南京市主城区住宅地价的时空演变.
地理研究,2012,31(6):1029-1038
|
被引
20
次
|
|
|
|
|
2.
常疆. 长沙市区地价的空间分布特征及其影响因素.
地理研究,2011,30(10):1901-1909
|
被引
19
次
|
|
|
|
|
3.
常可.
长沙市城区住宅地价空间分布特征及其影响因素研究,2010
|
被引
1
次
|
|
|
|
|
4.
陈浮. 城市地价空间分布图式的地统计学分析.
南京大学学报: 自然科学版,1999,35(6):719-723
|
被引
18
次
|
|
|
|
|
5.
陈浮. 区域城镇土地价格体系研究——南京市域城镇案例分析.
地理科学,1998,18(5):449-456
|
被引
8
次
|
|
|
|
|
6.
陈江龙. 大都市区建设用地空间扩展机理研究——以南京市区为例.
地理科学,2013,33(6):676-684
|
被引
17
次
|
|
|
|
|
7.
陈思源. GIS空间分析支持下的城市地价分布研究--以江苏省镇江市为例.
南京农业大学学报,2005,28(3):119-122
|
被引
7
次
|
|
|
|
|
8.
崔步礼. 基于DEM的山地丘陵区土地利用/覆被研究---以青海湖流域为例.
自然资源学报,2011,26(5):871-880
|
被引
41
次
|
|
|
|
|
9.
邓羽. 基于协同克里格的基准地价评估及空间结构分析.
地理科学进展,2009,28(3):403-408
|
被引
13
次
|
|
|
|
|
10.
杜德斌. 影响上海市地价空间分布的区位因子分布.
地理学报,1997,52(5):403-411
|
被引
21
次
|
|
|
|
|
11.
冯昌中. 地价杠杆在城市经营中的调控作用: 以南京市为例.
经济地理,2002,22(1):51-55
|
被引
2
次
|
|
|
|
|
12.
高金龙. 南京市城市土地价格空间分布特征.
地理科学进展,2013,32(3):361-371
|
被引
11
次
|
|
|
|
|
13.
谷一桢. 轨道交通对住宅价格和土地开发强度的影响——以北京市13号线为例.
地理学报,2010,65(2):213-223
|
被引
46
次
|
|
|
|
|
14.
韩荡. 城中村改造的理论框架及案例研究.
规划师,2004,20(5):13-15
|
被引
2
次
|
|
|
|
|
15.
洪国志. 基于房地产价格空间溢出的广州城市内部边界效应.
地理学报,2011,66(4):468-476
|
被引
5
次
|
|
|
|
|
16.
黄大全. 福建省工业用地效率分析与集约利用评价.
地理学报,2009,64(4):479-486
|
被引
24
次
|
|
|
|
|
17.
李平. 我国现阶段土地利用变化驱动力的宏观分析.
地理研究,2001,20(2):129-138
|
被引
187
次
|
|
|
|
|
18.
李志. 基于GWR模型的南京市住宅地价影响因素及其边际价格作用研究.
中国土地科学,2009,23(10):20-25
|
被引
22
次
|
|
|
|
|
19.
林勇.
经济发达地区土地市场发展的经济驱动因素研究,2008
|
被引
1
次
|
|
|
|
|
20.
刘守英. 土地融资与财政和金融风险--来自东部一个发达地区的个案.
中国土地科学,2005,19(5):3-9
|
被引
19
次
|
|
|
|
|
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