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我国房价与城市规模的相关性研究 [2]

论文作者:www.51lunwen.org论文属性:作业 Assignment登出时间:2013-09-06编辑:yangcheng点击率:3284

论文字数:1400论文编号:org201309061219189936语种:英语 English地区:中国价格:免费论文

关键词:房价公共事业管理房地产管理

摘要:自改革开放以来,我国经济得到了发展。中国的房价跟随国家经济的不断发展,呈现出整体上升的趋势。但由于城市规模发展不平衡,不同规模城市的房价存在着巨大的差异。

Is what causes the difference in price ? How do we solve ? This paper studies the urban scale and price correlation to tap the law where prices .

Housing prices related to people's livelihood, related to a country 's economic development. In recent years , due to the bad real estate development , housing prices has also become a focus of attention . Liu Qiang and Sun Li in "Urbanization boost our real estate and economic development," an article on the mentioned, due to China's large cities have such as financial capital , information resources, public services and other advantages, is often easier to attract people to the cities concentrated . The small towns due to small scale of the surplus labor less attractive , so the level of urbanization lags behind the economic, social and industrial development. This situation affected the further development of China's economy . Ma Lili and Zhang in " China's urban scale and price correlation between empirical research " in a combination of data and empirical analysis of the price scale relationship with the city , pointing out that for cities of different sizes , population density, economies of scale and purchasing ability to affect real estate prices around the important factors .

Comprehensive view of the above-mentioned study , for the price correlation with the urban scale awareness include: First, the urbanization process is different for different demographic and investment attractiveness , leading to city size and economic development gap ; second city size of economies of scale and rates intrinsically linked .

In this paper, several Chinese cities of different sizes as the research object , to understand the concepts of city size , the use of literature and data , diagrams and comparative examples , several decisions on the urban scale in an important indicator of price analysis , to know what impact prices, in order to identify measures to address the high prices .
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