中国二手房交易个人所得税对房价的影响

发布时间：2018-01-10 07:04

本文关键词：中国二手房交易个人所得税对房价的影响　出处：《南京大学》2014年硕士论文　论文类型：学位论文

【摘要】：2013年年初,“新国五条”重磅出击,强制要求二手房交易过程中征收20%个人增值所得税,一时引起轩然大波。本文首先构建二手房市场的一般均衡理论模型,通过供需平衡发现二手房交易个税的上升将导致二手房房价的上涨,同时引起二手房交易量的降低。通过税赋转嫁理论,买方将承担更大的税负。之后从整个房地产市场的供需均衡来看,二手房交易个税的上升,会产生二手房市场对新房市场的挤出效应,引起新房市场价格与交易量的同时上涨。进一步,本文分别构建住房作为消费品和投资品模型。在住房作为消费品模型中,税率的上涨会导致新房和二手房的价格同时上涨,同时导致二手房交易量的下跌,但反而会引起新房交易量的上涨。在住房作为投资品模型中,税率的上涨会导致无论新房还是二手房的价格与交易量同时下降,在该模型中,二手房交易个税起到其遏制房价的作用。随后,本文用2003-2012年全国35个大中城市的面板数据进行回归,实证检验结果表明当前二手房交易个税并不能明显使房价下跌,但能使房价的上涨幅度减缓,可见我国目前房地产市场仍为需求主导。在回归结果中,东、中、西部呈现不同现象,其中二手房交易个税对西部的抑制作用最为明显,表明目前西部市场的投机行为要强于东部市场。而对于其他因素,文章模型和实证均表明抵押贷款利率能够有效遏制房价的快速上涨,但东部效果最为明显。此外,实证结果显示,空置面积、人均收入及住房成本均对房价有显著影响。文章最后一部分结合了前文模型和实证的结果给出了相应的结论与政策建议。现阶段我国地区间差异较大,政策制定者应根据当地实际情况有效地通过二手房交易个税、抵押贷款利率等方式调控房地产市场。
[Abstract]:In 2013, the "new five" hit, mandatory second-hand housing transactions in the collection of 20% people value-added income tax. This paper first constructs the general equilibrium theory model of second-hand housing market, and finds that the rise of second-hand housing transaction tax will lead to the rise of second-hand housing prices through the balance of supply and demand. Through the tax transfer theory, the buyer will bear a greater tax burden. Then, from the balance of supply and demand of the whole real estate market, the secondary housing transaction tax rises. Will produce the second-hand housing market to the new housing market extrusion effect, causing the new housing market prices and trading volume at the same time rise. In the model of housing as consumer goods, the increase of tax rate will cause the price of new house and second-hand house to rise at the same time, at the same time, it will lead to the decline of the trading volume of second-hand housing. In the model of housing as investment goods, the increase of tax rate will result in both the new house and the second-hand housing prices and the volume of transactions falling at the same time, in this model. Second hand housing transaction tax plays a role in curbing house prices. Then, this paper uses the panel data of 35 large and medium-sized cities in 2003-2012 to regression. Empirical test results show that the current second-hand housing transaction tax can not significantly reduce the housing price, but can slow down the rise of housing prices, so that the current real estate market in China is still demand-led. In the regression results, East, Middle. There are different phenomena in the west, in which the second-hand housing transaction tax has the most obvious inhibitory effect on the west, indicating that the speculative behavior of the western market is stronger than that of the eastern market, and for other factors. Both the model and the empirical results show that mortgage interest rate can effectively curb the rapid rise of house prices, but the effect is most obvious in the east. In addition, the empirical results show that the empty area. The per capita income and housing cost have a significant impact on housing prices. The last part of the article combined with the previous model and empirical results to give the corresponding conclusions and policy recommendations. Policy makers should effectively regulate the real estate market through second-hand housing transaction tax, mortgage rate and so on.
【学位授予单位】：南京大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F299.23;F812.42

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