基于HEDONIC模型的滨海旅游地产价格影响因素研究

发布时间：2018-08-31 17:08

【摘要】：随着国家政策对房地产业的调控，旅游房地产这一由房地产业和旅游业相互融合产生的边缘性产业迎来了国内的投资热潮，国内居民生活水平的提高以及对生活品质提升的追求使得旅游房地产进入了大众的视野，其中滨海旅游房地产颇受消费者青睐，因此对其价格影响因素进行研究无论是在理论还是实践上都变得尤为必要。本文按照提出问题分析理论基础构建特征价格模型实证研究得到结论的研究思路展开了研究，研究的主要内容有以下几点：（1）通过对Hedonic理论在国内外发展情况、使用条件以及理论基础等问题的梳理总结，确定能否采用特征价格模型分析滨海旅游房地产的价格影响因素。（2）选取滨海旅游房地产的价格特征指标体系，构建滨海旅游房地产的价格模型。结合国内外研究成果，在综合考虑三亚滨海旅游房地产各种影响因素的实际情况后，选取影响滨海旅游房地产价格的特征变量，构建其价格特征的指标体系，并得到特征价格的基本模型。（3）确定滨海旅游房地产特征价格模型的最优函数形式。以三亚38个滨海旅游房地产项目1583个样本数据为例进行实证研究。运用SPSS18.0对样本数据进行分析处理，比较线性模型、对数模型和半对数模型三种模型的统计结果，选取滨海旅游房地产特征价格模型的最佳函数形式。（4）分析滨海旅游房地产的价格影响因素。借助得到的滨海旅游房地产的特征价格模型确定滨海旅游房地产价格的显著性影响因素。本文以特征价格模型的相关理论为基础，构建出滨海旅游房地产的特征价格模型，并选取三亚滨海旅游房地产市场作为实例，最终确定了滨海旅游房地产特征价格模型的函数形式和主要价格影响因素。通过对以上几个方面的问题研究，，最终得到了如下结论：（1）因滨海旅游房地产市场满足特征价格模型的适用条件，故可以采用特征价格模型对滨海旅游房地产的价格进行研究。（2）结合国内外研究成果，筛选出影响滨海旅游房地产价格的14个特征变量，构成了滨海旅游房地产的特征变量指标体系。（3）在对线性模型、半对数模型以及对数模型进行统计分析和检验对比的基础上，确定了滨海旅游房地产特征价格模型的函数形式——对数模型，并得到了滨海旅游房地产的特征价格方程。（4）确定了滨海旅游房地产价格的显著性影响因素共有9个，分别为：建筑面积、项目升值潜力、海景品质、配套设施、装修程度、周边旅游资源/景点数目、房龄、绿化率、容积率。
[Abstract]:With the regulation of the real estate industry by national policies, tourism real estate, a marginal industry produced by the integration of the real estate industry and the tourism industry, has ushered in a domestic investment boom. With the improvement of living standard and the pursuit of improving the quality of life, the tourism real estate has entered the public view, among which the coastal tourism real estate is favored by the consumers. Therefore, it is necessary to study the influencing factors of price both in theory and practice. In this paper, according to the theoretical basis of problem analysis, the conclusion of the empirical study of characteristic price model is studied. The main contents of the research are as follows: (1) through combing and summarizing the development of Hedonic theory at home and abroad, the conditions of use and the theoretical basis, etc. Determine whether the characteristic price model can be used to analyze the factors affecting the price of coastal tourism real estate. (2) select the price characteristic index system of coastal tourism real estate, and construct the price model of coastal tourism real estate. Combined with the domestic and foreign research results, after considering the actual situation of various influencing factors of the coastal tourism real estate in Sanya, this paper selects the characteristic variables that affect the price of the coastal tourism real estate, and constructs the index system of the price characteristics of the coastal tourism real estate. The basic model of characteristic price is obtained. (3) the optimal function of the characteristic price model of coastal tourism real estate is determined. Taking 38 coastal tourism real estate projects in Sanya as an example, 1583 sample data are taken as an example. The statistical results of linear model, logarithmic model and semi-logarithmic model are compared by using SPSS18.0 to analyze and process the sample data. Select the best function form of the characteristic price model of coastal tourism real estate. (4) analyze the influencing factors of the price of coastal tourism real estate. With the help of the characteristic price model of coastal tourism real estate, the significant factors affecting the price of coastal tourism real estate are determined. Based on the theory of characteristic price model, this paper constructs the characteristic price model of coastal tourism real estate, and selects Sanya Binhai tourism real estate market as an example. Finally, the function form and main price influencing factors of coastal tourism real estate characteristic price model are determined. Through the study of the above aspects, the following conclusions are obtained: (1) because the coastal tourism real estate market meets the applicable conditions of the characteristic price model, So we can use the characteristic price model to study the price of coastal tourism real estate. (2) combined with the domestic and foreign research results, we can screen out 14 characteristic variables that affect the price of coastal tourism real estate. The characteristic variable index system of coastal tourism real estate is constructed. (3) on the basis of statistical analysis and comparison of linear model, semi-logarithmic model and logarithmic model, The logarithmic model of the characteristic price model of coastal tourism real estate is determined, and the characteristic price equation of coastal tourism real estate is obtained. (4) there are nine significant factors affecting the price of coastal tourism real estate. They are: building area, project appreciation potential, sea view quality, supporting facilities, decoration degree, the number of surrounding tourist resources / scenic spots, housing age, green rate, volume ratio.
【学位授予单位】：上海大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F299.27;F224

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