徐州市商品住宅价格微观影响因素研究

摘要房地产市场是人们老生常谈的一个话题。在过去的2015年中，楼市在低迷的市场环境下经历了五次降息、六次降准。在徐州市房产库存压力大、消化周期长的背景下，徐州市住宅价格微观影响因素的研究对政府及时把握市场动态、做出完备的调控政策具有积极作用。72302

本文选取徐州市区61个小区的61套住宅作为研究样本，从建筑因素、区域因素和邻里因素中选取房龄、供求稀缺性、装修情况、容积率、绿化率、区域繁华程度、所属商业圈等级、物业管理水平、物业费9个因子作为评价指标。在定性分析的基础上，基于SPSS10。0软件采用多元回归分析方法对商品住宅价格进行量化分析。分析结果表明：供求稀缺性、装修情况、绿化率、区域繁华程度、物业管理水平、物业费与徐州房价呈正相关；房龄、容积率、所属商业圈等级与徐州房价呈负相关。其中，对徐州房价影响程度较大的因素有区域繁华程度、装修情况、供求稀缺性和物业费。建立的价格模型于下：

P=3746。765+1258。034 1-45。395 2+719。546 3-64。828 4+7。327 5+49。441 6 + 494。645 7-536。878 8+484。216 9

毕业论文关键词：徐州市住宅价格微观影响因素多元线性回归

Xuzhou city commodity housing price microcosmic Factors research

Abstract The real estate market are a topic of cliches。 In the past 2015 years, the housing market downturn in the market environment has experienced five times the rate cut, six times。 In xuzhou city housing inventory pressure, under the background of the digestive cycle long, the research of the microscopic factors affecting xuzhou housing price government timely grasp the market dynamics, a complete regulation policy has a positive role。

This article selects xuzhou city 61 district 61 sets of residence as the research sample, from the construction factors, regional factors and neighborhood selection room age, the scarcity of supply and demand, decorate, plot ratio, degree of afforestation, regional prosperity, belongs to the commercial circle grade, property management, property management fee nine factors as evaluation indexes。 On the basis of qualitative analysis, based on the SPSS10。0 software USES the multiple regression analysis method for quantitative analysis of commodity housing price。 Analysis results show that the scarcity of supply and demand, decorate, extent of afforestation, regional prosperity, property management, property management fee and xuzhou house prices were positively correlated; That, plot ratio, belongs to the commercial circle grades and negatively correlated with xuzhou housing prices。 Among them, the xuzhou house prices factors affecting degree is larger with the regional flourishing degree, decorate, the scarcity of supply and demand and property costs。 The price of the model below:

P=3746。765+1258。034 1-45。395 2+719。546 3-64。828 4+7。327 5+49。441 6 + 494。645 7-536。878 8+484。216 9

Key Words: Xuzhou city Housing price The micro factors MLR

摘要Ⅰ

Abstract-Ⅱ

目录Ⅲ

图清单Ⅳ

表清单Ⅳ

1 绪论1

1。1选题背景及研究意义--1

1。2国内研究进展--2

1。3研究内容与方法--3

2 徐州市商品住宅价格微观影响因素分析3

2。1徐州市概况--3

2。2影响因素分析--7

3 徐州市商品住宅价格微观影响因素定量研究8

3。1变量的选取与量化--8

3。2量化过程及结果--9

3。3多元线性回归分析-13

3。4主成分分析确定权重-15

4 结论17

4。1研究结论-17

4。2研究不足及研究展望-18 徐州市商品住宅价格微观影响因素研究:http://www.youerw.com/jingji/lunwen_82250.html