中國35個大中城市住宅價格差異研究
本文關(guān)鍵詞: 住宅價格差異 形成機制 影響因素 出處:《吉林大學》2013年碩士論文 論文類型:學位論文
【摘要】:近年來我國商品住宅價格持續(xù)走高,不同地區(qū)住宅價格差異越來越大,這種住宅價格的區(qū)域差異使得政府出臺的為了控制住宅價格過快增長的宏觀調(diào)控政策在不同地區(qū)產(chǎn)生了不同的效果,住宅價格的區(qū)域不平衡給居民生活帶來了較大影響。目前國內(nèi)對住宅價格的學術(shù)研究主要集中在住宅價格形成機制、住宅價格波動以及住宅價格波動影響因素等方面,對于住宅價格差異的研究較少,理論研究的不足導致政府出臺的相關(guān)政策缺乏有效的科學依據(jù)和技術(shù)支撐,因此研究住宅價格差異是十分有意義的。本文旨在研究哪些因素影響了住宅價格差異,從供給與需求的角度入手,以住宅價格為研究對象,分析了住宅價格形成機制和住宅價格的影響因素,進一步通過對我國35個大中城市住宅價格進行實證研究得出結(jié)論并提出相應(yīng)的政策建議。本文得出結(jié)論如下:我國35個大中城市住宅價格存在顯著的區(qū)域差異,其中影響住宅價格的供給方因素主要有房地產(chǎn)土地開發(fā)面積與房屋竣工面積,二者與住宅價格呈負相關(guān);影響住宅價格的需求方因素主要是城鎮(zhèn)居民人均可支配收入、住宅銷售面積、前三期住宅價格增長率(預(yù)期因素)以及就業(yè)率,其中需求方因素對于住宅價格的影響要大于供給方因素對住宅價格的影響。 本文主要分為五大部分,第一部分為概念解釋與文獻綜述,,首先對住宅價格這一概念進行了相關(guān)界定,并介紹了國內(nèi)外學者關(guān)于住宅價格影響因素的相關(guān)研究成果。第二部分為我國各城市住宅價格現(xiàn)狀分析,針對全國35個大中城市住宅價格進行了定性的比較與描述性分析,發(fā)現(xiàn)住宅價格存在明顯的區(qū)域不平衡。第三部分從生產(chǎn)價格機制理論以及供求價格機制理論兩方面分析了住宅價格的形成機制,并根據(jù)供求價格機制理論進一步分析了住宅價格差異的影響因素。第四部分以第三部分的分析為基礎(chǔ),分別從供給、需求與區(qū)域性因素三方面選取了13個影響住宅價格的變量,建立了Panel Data模型,對全國35個大中城市2002年至2010年的住宅市場相關(guān)數(shù)據(jù)進行了實證分析。第五部分為結(jié)論與政策建議。
[Abstract]:In recent years, the prices of commercial housing in China have continued to rise, and the differences between the prices of housing in different regions have become larger and greater. This regional difference in housing prices has made the government's macro-control policies to control the rapid growth of housing prices have had different effects in different regions. The regional imbalance of housing price has brought great influence to the resident's life. At present, the domestic academic research on housing price mainly focuses on the formation mechanism of housing price, the fluctuation of housing price and the influencing factors of housing price fluctuation, etc. There is little research on the difference of housing price, and the lack of theoretical research leads to the lack of effective scientific basis and technical support for the relevant policies issued by the government. Therefore, it is very meaningful to study the housing price difference. This paper aims to study which factors affect the housing price difference, starting from the point of view of supply and demand, taking the housing price as the research object. The forming mechanism of housing price and the influencing factors of housing price are analyzed. Through the empirical study of housing prices in 35 large and medium-sized cities in China, the paper draws a conclusion and puts forward corresponding policy recommendations. The conclusions are as follows: there are significant regional differences in housing prices in 35 large and medium-sized cities in China. The main supply-side factors affecting housing price are real estate land development area and housing completed area, both of which are negatively correlated with housing price, and the demand-side factors affecting housing price are mainly the per capita disposable income of urban residents. Housing sales area, the first three periods of housing price growth rate (expected factors) and the employment rate, in which the demand side of the impact on housing prices is greater than the supply side of the impact on housing prices. This paper is divided into five parts, the first part is the concept of interpretation and literature review, first of all, the concept of housing price is defined. The second part is the analysis of the current situation of housing prices in various cities in China, and the qualitative comparison and descriptive analysis of housing prices in 35 large and medium-sized cities in China. The third part analyzes the formation mechanism of housing price from two aspects: the production price mechanism theory and the supply and demand price mechanism theory. According to the theory of price mechanism of supply and demand, the paper further analyzes the influencing factors of housing price difference. Part 4th, based on the analysis of the third part, selects 13 variables that affect housing price from three aspects of supply, demand and regional factors, respectively. The Panel Data model is established, and the data related to the housing market in 35 large and medium-sized cities in China from 2002 to 2010 are analyzed empirically. Part 5th is the conclusion and policy recommendations.
【學位授予單位】:吉林大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:F299.23;F224
【參考文獻】
相關(guān)期刊論文 前10條
1 邱雅;;地區(qū)商品房價格的計量分析[J];北京工商大學學報(社會科學版);2009年06期
2 郭斌;王瑩;;基于動態(tài)計量經(jīng)濟學模型的城市房價影響因素研究[J];商業(yè)研究;2010年11期
3 周京奎;貨幣政策、銀行貸款與住宅價格——對中國4個直轄市的實證研究[J];財貿(mào)經(jīng)濟;2005年05期
4 李宏瑾;房地產(chǎn)市場、銀行信貸與經(jīng)濟增長——基于面板數(shù)據(jù)的經(jīng)驗研究[J];國際金融研究;2005年07期
5 梁云芳;高鐵梅;;我國商品住宅銷售價格波動成因的實證分析[J];管理世界;2006年08期
6 王成成;王曉輝;;宏觀經(jīng)濟對房地產(chǎn)價格的影響——基于中國省際的動態(tài)面板數(shù)據(jù)[J];經(jīng)濟管理;2011年09期
7 肖磊;肖佳文;辜佳新;李麗;;房價影響因素與地區(qū)房價差異分析——基于30個省會城市的截面數(shù)據(jù)[J];經(jīng)濟研究導刊;2011年35期
8 沈悅,劉洪玉;住宅價格與經(jīng)濟基本面:1995—2002年中國14城市的實證研究[J];經(jīng)濟研究;2004年06期
9 梁云芳;高鐵梅;;中國房地產(chǎn)價格波動區(qū)域差異的實證分析[J];經(jīng)濟研究;2007年08期
10 況偉大;;預(yù)期、投機與中國城市房價波動[J];經(jīng)濟研究;2010年09期
相關(guān)博士學位論文 前1條
1 孔煜;城市住宅價格變動的影響因素研究[D];重慶大學;2006年
相關(guān)碩士學位論文 前1條
1 馬立軍;住宅價格形成機制研究[D];河北農(nóng)業(yè)大學;2006年
本文編號:1533151
本文鏈接:http://sikaile.net/jingjilunwen/fangdichanjingjilunwen/1533151.html