本文選題：土地供應調(diào)控　切入點：商品住宅價格　出處：《云南財經(jīng)大學》2014年碩士論文

【摘要】：1998年實行住房市場化改革以來，我國商品住宅市場快速發(fā)展，城市商品住宅價格上漲幅度過快，甚至出現(xiàn)了畸形的房價。房價就像脫韁的野馬，一路飆升，針對商品住宅的銷售價格較快增長的事實，政府自2003年以來出臺了一系列的宏觀調(diào)控政策，但結果不甚明顯。本文以十個代表城市為例，，研究土地供應調(diào)控對城市商品住宅價格的影響，結合土地供需、房地產(chǎn)供需與價格、土地供應與住宅價格傳導機制、地租和低價等理論研究，分別從土地供應面積和住宅用地價格兩個方面入手研究土地供應調(diào)控對商品住宅價格的影響程度，收集和分析我國三類城市類型中十個代表城市土地供應調(diào)控、商品住宅市場波動的數(shù)據(jù)，利用Eviews軟件進行面板數(shù)據(jù)模型回歸檢驗，最終得出結論由于三類城市市場化水平程度的高低不同及其受政府調(diào)控力度強弱的影響，土地供應調(diào)控對三類城市商品住宅價格影響是需要依據(jù)城市實際情況區(qū)分研究和制定相應的調(diào)控政策。 本文在結合現(xiàn)有文獻研究結果的基礎上，將范圍確定在我國具有代表性的十個城市，分別是北京、廣州、深圳、上海、武漢、成都、西安、鄭州、昆明、貴陽，將這十個代表城市按城市經(jīng)濟發(fā)展水平及市場化程度的高低劃分為了三種不同類型，考慮對三類城市進行對比分析研究土地供應調(diào)控對城市商品住宅價格影響。其次搜集我國三類、十個代表城市自1998--2012年跨度15年的年度數(shù)據(jù)，選取影響商品住宅價格變動的主要因素，建立面板數(shù)據(jù)回歸模型對三類城市數(shù)據(jù)做實證研究，將回歸結果進行對比分析及論證，分析了城市土地供應面積、居住用地價格對商品住宅價格的影響程度，及為未來土地規(guī)劃提供建議。 通過模型回歸論證，得出結論政府應該依城市實際發(fā)展情況區(qū)分研究土地供應調(diào)控對三類城市商品住宅價格影響。依據(jù)城市自身發(fā)展特色及發(fā)展程度，制定合理的土地調(diào)控策略及規(guī)劃，未來更應結合不同城市情況制定相應調(diào)控政策。
[Abstract]:Since the reform of housing marketization was carried out in 1998, the commodity housing market in China has developed rapidly, the price of urban commercial housing has risen too fast, and even abnormal housing prices have appeared.House prices are running wild, soaring, and the government has introduced a series of macroeconomic controls since 2003 in response to the fact that sales prices of commodity homes have risen faster, but the results have not been obvious.This paper takes ten representative cities as an example to study the influence of land supply regulation on urban commodity housing price, combining the theoretical research of land supply and demand, real estate supply and price, land supply and housing price transmission mechanism, land rent and low price.From two aspects of land supply area and residential land price, this paper studies the influence of land supply regulation on commodity housing price, and collects and analyzes the land supply regulation and control of ten representative cities in three types of cities in China.The data of the fluctuation of commodity housing market are tested by panel data model regression test with Eviews software. Finally, the conclusion is drawn that the level of marketization of the three cities is different and affected by the intensity of government regulation and control.The impact of land supply regulation on the price of three kinds of urban commercial housing needs to be differentiated according to the actual situation of the city and the corresponding regulation and control policies should be formulated.Based on the research results of the existing literature, this paper determines the scope of ten representative cities in China, namely, Beijing, Guangzhou, Shenzhen, Shanghai, Wuhan, Chengdu, Xi'an, Zhengzhou, Kunming, Guiyang.The ten representative cities are divided into three different types according to the level of urban economic development and the degree of marketization.Secondly, collect the annual data of three kinds of cities, ten representative cities from 1998 to 2012, select the main factors that affect the change of commodity housing price, and establish panel data regression model to do empirical research on the three kinds of urban data.By comparing and analyzing the regression results, the paper analyzes the influence of urban land supply area and residential land price on the commodity housing price, and provides some suggestions for the future land planning.Through the regression analysis of the model, it is concluded that the government should study the effect of land supply regulation on the price of three kinds of urban commercial housing according to the actual development of the city.According to the characteristics and degree of urban development, rational land regulation and control strategies and plans should be formulated in the future, which should be combined with different urban conditions.
【學位授予單位】：云南財經(jīng)大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F301.2;F299.23

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