景观价值在房产市场中的显性化研究.rar

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  • 更新时间:2014-05-08
  • 论文字数:15473
  • 课题出处:(julu1004)提供原创资料
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摘 要:随着居民生活水平的不断提高,人们购房的标准也越来越高。对大多数居民来说,住宅不仅仅要满足一般性居住的功能,尤其是对一些高收入的购房者来说,他们更青睐附近有优美景观的房子。由于需求的拉动,景观房一般比普通房价格较高,而且具有稀缺景观资源的房子与地处黄金地段的楼盘有相同的属性:交易价格上升空间大、抗跌能力强。虽然景观确实具有价值,但大多数景观效益是隐形的,其价值很难用货币价格直接测量。

   无锡地处长三角经济区,太湖之滨,惠山脚下,经济发达,房地产市场繁荣,景观资源丰富。论文建立在对无锡市景观住宅相关信息以及消费者意愿调查的基础上,剔除了非景观影响因素,选取绿化率和公园距离为自变量,实际成交价格为因变量,参照享乐模型,利用特征价格法建立了模型并进行了分析。论文意在通过楼市载体市场的价格规律,挖掘出公园和绿地景观的潜在价值,也有利于推进城市的生态建设。

关键词:景观价值;房产市场;价格

 

ABSTRACT:With the continuous improvement of people's living standards, the criterion of purchasing houses is also increasing. For most residents, dwellings are not just built for satisfying people’s general living functions. Instead, especially some high-income purchasers, find the houses with beautiful landscape and surroundings are more cater to their needs. Owing to the increasingly high demand, the price of houses with wonderful landscape is relatively much higher. And the houses which have scarce landscape resources and some prime real estate share the same general character: the larger house-market price rising space is, the stronger defensive ability they have. Although the landscape does have value, most of benefit of the landscape is invisible, it’s difficult to use direct measurement of currency.

   Wuxi is located in the Yangtze River Delta economic zone, a prosperous economy zone, where its real estate market is also very prosperous .Surrounded by Mount Huishan and Taihu Lake, Wuxi enjoys beautiful scenery with wonderful landscape. The paper is based on the relevant information of houses with good views in Wuxi and consumer willingness. Wished to establish models and carry out analysis with the reference to the hedonic model, I chose the greening rate and park distance as independent variables, and the actual transaction price as the dependent variable. The intention of the paper is to dig out the potential value of parks and green landscape and do some help to promote the city’s ecological construction. 

Keywords: the value of landscape; housing market; price


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