Study on the Influence Factors of Real Estate Price Based on Regression Model — The Case of Jilin City

2011 ◽  
Vol 117-119 ◽  
pp. 1547-1551
Author(s):  
Xi Li Tan ◽  
Han Zhou ◽  
Ying Song Xu
Keyword(s):  
Real Estate ◽  
Regression Model ◽  
Influence Factors ◽  
Multiple Linear Regression Model ◽  
Factors Affecting ◽  
The Real Estate ◽  
Real Estate Price ◽  
Spss Software ◽  
Countermeasures And Suggestions ◽  
The Impact

Real estate price has been one of the hottest discussion topics, especially in recent years, it becomes the focus of attention. In this paper, we aim to study the impact of economic factors on real estate price. By multiple linear regression model and SPSS software, we analyze four economic indicators affecting the real estate price of Jilin city, and make some amendments and testings, the conclusions show the consumption level and housing construction area are important factors affecting the price trend. On this basis, we further to give the corresponding countermeasures and suggestions.

Application of ARMA Regression Model of Housing Prices Influence Factors of Xi'an

2013 ◽  
Vol 405-408 ◽  
pp. 3340-3342
Author(s):  
Hui Zhi ◽  
Yue Fan Wang
Keyword(s):  
Real Estate ◽  
Regression Model ◽  
Housing Prices ◽  
Influence Factors ◽  
Housing Price ◽  
The Real Estate ◽  
Housing Price Index ◽  
Long Run ◽  
The Government ◽  
The Impact

By selecting the relevant factors affect the real estate price, with the qualitative analysis method to analyze the housing prices changes of Xi'an, and then establish ARMA regression model of the housing price index, found that the factors exist long-run co-integration. In order to better reflect the actual, the government policy as a dummy variable is introduced into the model to make regression results more significantly, showing that government policies play an important role in the control of the impact on real estate prices.

Influence Factors of Chinese Real Estate

2013 ◽  
Vol 405-408 ◽  
pp. 3391-3395 ◽  
Author(s):  
Xue Li Wang ◽  
Shan Hua
Keyword(s):  
Real Estate ◽  
Influence Factors ◽  
Real Estate Market ◽  
Policy Recommendations ◽  
The Real Estate ◽  
Real Estate Price ◽  
The Real Estate Market ◽  
Regulation Policy ◽  
Process Of Urbanization ◽  
Real Estate Prices

This paper studied that the factors influencing Chinese real estate price. And that the land prices, the macroeconomic situation, the annual income of the households, the process of urbanization, the credit policy, the psychological expectations of consumers, the market investment or speculation, the governments regulation policy etc, Are all the influence factors of real estate prices. And the analysis results to develop appropriate policy recommendations for the healthy and sustainable development of the real estate market.

scholarly journals Real Estate Level Forecasting - Review

2019 ◽  
pp. 57-61
Author(s):  
Hongfei Guo ◽  
Hao Jiang ◽  
Weijian Zhang ◽  
Fuqian Cui ◽  
Ru Zhang ◽  
...  
Keyword(s):  
Real Estate ◽  
Influencing Factors ◽  
Housing Prices ◽  
House Price ◽  
Hierarchical Classification ◽  
Coupling Mechanism ◽  
Factors Affecting ◽  
Research Perspective ◽  
The Real Estate ◽  
Real Estate Price

With China’s rapid economic growth in recent years and the acceleration of urbanization, the real estate price has also shown a substantial increase, especially the housing prices have always been high in first-tier cities. This paper systematically combs the research on the factors affecting house price and the forecasting method of house price at home and abroad, and puts forward some suggestions on the regulation and control of real estate price in our country. It also points out the deficiency of data statistics and research perspective in empirical research. On this basis, it is proposed that we should strengthen the scientificalness and comprehensiveness of the empirical data, put forward a reasonable and appropriate hierarchical classification method for influencing factors, make clear the importance and coupling mechanism of each level, and excavate the dominant influencing factors.

scholarly journals Analysis of Urban Residents' Sports Consumption Demand Based on Intercepted Regression Model

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Qing Liu
Keyword(s):  
Real Estate ◽  
Housing Prices ◽  
Real Estate Market ◽  
Survey Method ◽  
Real Estate Industry ◽  
The Real ◽  
The Real Estate ◽  
Real Estate Price ◽  
Real Estate Prices ◽  
The Impact

At this stage, broadening the consumer market, upgrading the consumption system and gradually establishing a consumption-led development concept are key factors in promoting high-quality economic development. At the same time, China's macro economy is also experiencing another test. The rapid development of China's real estate market in recent years has attracted a large number of investors, and real estate prices have produced irrational and substantial increases. Behind the boom of the real estate market is a social system crisis driven by profiteering and the growing seriousness of real estate financial bubble. So exploring the mechanism of the influence of real estate prices on the upgrading of residents' consumption is important for the current stage of China. Therefore, it is important to investigate the mechanism of real estate price impact on consumer upgrading for the coordinated development of real estate industry and national economy. In this paper, we analyze and examine the theory on the consumption improvement by the literature survey method. We also summarize the present research on the correlation and the influence mechanism of the real estate price and the consumption improvement and choose the index which reflects the present state of the real estate industry and the consumption of the inhabitant. Besides the input indicators that qualitatively manage the impact of housing prices on the improvement of residents' consumption, we first use the descriptive statistics method to understand the level of the Chinese real estate market and improve consumer spending. Based on this, the descriptive statistical method is applied to define the current state of China's real estate market and the level of improvement in consumption, and to define the standard for improving consumption in China. On the other hand, based on the spatial and spatial spillover points of view, we use spatial analysis framework combined with exploratory spatial data analysis and GIS to investigate spatial correlation between consumption structure and housing price, and accurately reflect the spatial clustering status of the index by drawing. Moran dispersion plot and Lisa cluster plot, then the spatial Darwinian model, are used to investigate the impact of real estate prices on the increase in occupant consumption from a macro perspective.

scholarly journals Empirical Testing of the Impact of Gender and Marital Status on the Price and Trend of Urban Real Estate – Evidence from Provincial Panel Data of China

2018 ◽  
Vol 10 (7) ◽  
pp. 38
Author(s):  
Min Tan ◽  
Yajie Bai
Keyword(s):  
Panel Data ◽  
Real Estate ◽  
Marital Status ◽  
Negative Impact ◽  
Data Set ◽  
The Real ◽  
The Real Estate ◽  
Empirical Results ◽  
Real Estate Price ◽  
The Impact

This paper investigates the impact of demographic structure, especially gender and marital status, on the price of regional real estate. This paper utilizes controlled-heteroskedasticity fixed-effect model for the empirical tests based on a panel data set of 30 Chinese provinces from 2011 to 2015. Empirical results show that the gender ratio in the provincial panel data does have a significant negative impact on the regional real estate prices, which implies that when the number of women in a region increases, the real estate price in this region tends to rise. The impact of marital status on the real estate price is not significant according to empirical results.

scholarly journals ASSESSMENT OF FACTORS AFFECTING REAL ESTATE PRICE IN HUE CITY, THUA THIEN HUE PROVINCE

2020 ◽  
Vol 129 (3C) ◽  
Author(s):  
Nguyen Van Binh ◽  
Ho Nhat Linh ◽  
Tran Thi Anh Tuyet
Keyword(s):  
Real Estate ◽  
Social Factors ◽  
Living Environment ◽  
Shape Factors ◽  
Factors Affecting ◽  
Real Estate Price ◽  
Property Prices ◽  
Real Estate Prices ◽  
The Impact ◽  
Relevant Factors

This study focuses on determining the impact of factors on property prices in Hue city, Thua Thien Hue province. The study used quantitative and qualitative analysis in SPSS to statistically characterize the investigated subjects; using Likert scale with five levels and regression method to evaluate the influences of relevant factors on real estate; surveying 115 samples in 03 wards of An Tay, An Cuu and An Dong of Hue city. The results showed that, 6 factors affecting real estate prices were identified, including: (i) Location, (ii) Topographic and shape, (iii) Legal, (iv) Social factors, (v) Infrastructure and (vi) Environment. The impact level of 6 factors on real estate prices are: Environment (0.416), Terrain (0.408), Location (0.225), Infrastructure (0.197), Legal (0.195) and Social factors (0.120). For factors affecting real estate prices, depending on the type of street that the factors affecting real estate prices have different roles. For streets with good business potential, the important factor is that the location of the land plot provides high profitability and stability leading to high buyer demand, followed by parcel shape factors, infrastructure conditions, living environment. The main purpose of a street to build houses is the natural environment, social factors, infrastructure, followed by shape and area. Among the 3 surveyed wards, An Cuu ward had the highest real estate price; followed by An Dong and An Tay wards.

Study on Factors Affecting Buying Decision of Customers and Impact of CRM in Real Estate Sector with special reference to Indore City

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Ratish C Gupta
Keyword(s):  
Real Estate ◽  
Customer Relationship Management ◽  
Customer Relationship ◽  
Research Report ◽  
Factors Affecting ◽  
The Real Estate ◽  
Customer Base ◽  
Real Estate Sector ◽  
The Impact ◽  
Shift Gears

In India, real estate is the second largest employer after agriculture and is stated to grow at 30 per cent over the next decade. Reacting to an increasingly updated customer base and bearing in mind the aspect of globalisation, Indian real estate developers will have to shift gears and accept fresh challenges. This research report has been carried out so as to assess the impact of customer relationship management on customer retention with reference to real estate sector. Various research studies have been reviewed so as to assess the present state of CRM adoption within the real estate sector and then recommendations have been put forth. Thus, this research report is a comprehensive briefing with respect to how can real estate organizations benefit from CRM and how can adoption of CRM be augmented in this sector for the benefit of organizations as well as consumers.

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