摘要
首次从商品房性质的角度,研究其性质对商品房价格的影响。首先,通过面板协整检验证明商品房屋销售面积、人均可支配收入、商品房平均销售价格、利率之间存在长期均衡关系,并以变系数固定效应模型构建了长期需求模型。其次,利用长江三角洲地区的面板数据及长期需求模型得出了长江三角洲地区商品房的性质。实证结果表明:在长期中,江苏省的商品房为正常商品,上海市商品房是低档商品,浙江省的商品房是吉芬商品。通过实证结果,针对上海市、浙江省、江苏省具有不同性质的商品房给出了具体建议措施如下:限购、限购同时提高居民的可支配收入、增加投资渠道及政府给予市民合理商品房价格预期的信号。研究结果对房地产市场目前高房价状态到政府预期的状态起到更好的调节作用。
The research focus on its influence on the price of commercial residential building from the aspect of the properties of commercial residential building for the first time.First of all,it proves the existence of long-term equilibrium relationship among factors that are sales and price of the real estate,residents＇ disposable incomes,and interest rates by panel co-integration testing,and builds a long-term demand model by applying the variable coefficient model.Secondly,it makes use of the panel data of the Yangtze River Delta and long-term demand model to figure out the properties of commercial residential buildings in the region of the Yangtze River Delta.It concludes that commercial residential buildings in Jiangsu Province,Shanghai and Zhejiang Province are normal goods,inferior goods and Giffen goods respectively.As thus,aiming at the different properties of commercial residential buildings in these three regions,this paper comes up with several specific measures and suggestions,such as restricting home-purchase,increasing residents＇ disposable income while restricting home-purchase,expanding investment channels,and government giving signals of reasonable house prices to citizens.The outcome of this study will better adjust the high prices state of the real estate market to the government＇s expectation.
出处
《科技和产业》
2017年第3期45-50,73,共7页
Science Technology and Industry
关键词
长江三角洲
商品性质
面板数据
the Yangtze river delta
properties of goods
panel data
