scholarly journals Hedonic Price Modeling of New Residential Property Values in Xi’an City, China

2017 ◽  
Vol 5 (9) ◽  
pp. 42 ◽  
Author(s):  
Kai Liu ◽  
Toshiaki Ichinose

This study analyzed new residential property values of Xi’an City in March, 2014. Results show that accessibility indices, such as distance to CBD, have been well capitalized into the residential property values. Particularly, a within-zone housing unit is sold 9.4% more than if it was outside the attendance zone of a Key Primary School, i.e. home buyers have how much willingness-to-pay for the high-quality educational resource. Another corollary is got that the accessibility to subway stations has not significantly been capitalized, only with a low premium reflecting in the real estate market of Xi’an City. Considered that spatial local singularities caused by unobserved variables or estimation bias can be associated with multi-regression errors, this study herein has explored an unconventional viewpoint to residual problem, which combines the regional differences (coming from real world) and the spatial distributions of singularities (feedback from data). Furthermore, whole samples are classified into 5 agglomerations for revealing the underlying reasons about the future trend and variation of real estate market within each region. It is effective to provide scientific basis of decision making for the real estate investors and planners.

2014 ◽  
Vol 488-489 ◽  
pp. 1463-1466
Author(s):  
Yun Du ◽  
Hui Qin Sun ◽  
Su Ying Zhang ◽  
Qiang Tian

Urban real estate price index (hereinafter referred to as UREPI) is a basic data of the real estate market, its accuracy is very important for enterprises, consumers and housing management department. In view of current research level here in China and popular models, the UREPI system is compiled based on the Hedonic price method because of its advantages such as calculation simple and sample easily etc. Compiled by Eviews the system has three main stages: the data standardization, the benchmark model establishment and the application of two periods chained update method to update price series. UREPI system is combined with the real deal, so it can be used to analysis the market accurately. The results completely meet the design requirements.


2016 ◽  
Vol 27 (2) ◽  
pp. 148-155
Author(s):  
Victoria Amietsenwu Bello ◽  
Taiwo Olusola Adeola

The real estate market consist of properties of various types (commercial, industrial, agricultural, recreational and residential) that are believed to have inflation hedging characteristics that make them ideal investment in the building industry. In the market, investment in residential property is not a liquid asset; its illiquidity is most often measured by the time the property spends on the market. The time on the market may be determined by variables such as physical attributes of the property and macroeconomic variables. The paper therefore examined the variables that explain the time bare land (for residential development) and residential property spends on the market before being sold in Akure, Nigeria. Using the Multiple Regression Model, the study finds Season Property was Listed for Sale, Distance to the Tarred Road and Asking Price to have influence on the time bare land was sold. For the residential properties, variables such as State of Repairs, State of Water Supply, Zone and Number of Convenience in a house were significant. The study therefore recommended that property developers should pay attention on these housing attributes that influence time on the market in order to enhance the marketability of their properties and thereby reduce the time property spends on the market.


2021 ◽  
Vol 11 (1) ◽  
pp. 16-34
Author(s):  
Nur Hafizah Ismail ◽  
Sabri Nayan

In recent years, the real estate market has become a major interest for economists and researchers. In general, property prices are influenced by the supply and demand of the real estate market. In addition to the individual's positive expectation of the real estate market would raise the demand for housing and hence, house price indexes would increase. This study provides new knowledge on how consumer confidence in the housing industry affects residential property prices in Malaysia. Previous studies on the effect of consumer perception towards residential property in Malaysia are scarce. Therefore, the objective of this study is to determine how consumer confidence affect residential property price in Malaysia. Our study differs by focusing on the effect of consumer confidence on the housing industry and macroeconomic drivers toward residential property prices in Malaysia over the period 2004:Q1 to 2018:Q4. By using the autoregressive distributed lag (ARDL) test, the empirical results have shown the presence of long-run adjustment and indicate that consumer confidence towards the housing industry and many macroeconomic variables significantly affect residential property prices. From this finding, we have suggested that government and policymakers should be able to understand consumer confidence in the housing industry to increase consumer satisfaction and to improve consumer sentiment towards the residential property market in Malaysia.


1981 ◽  
Vol 10 (2) ◽  
pp. 101-110 ◽  
Author(s):  
Hays B. Gamble ◽  
Roger H. Downing

An analysis of all valid single family house sales over a four-year period before the March, 1979, TMI accident and over the 9 months following the accident, and within a 25-mile radius of the plant and in two control areas, disclosed no evidence that the accident had measurable lasting effects on residential property values. Shortly following the accident there was a sharp decline in the volume of residential sales within 10 miles of the plant, but the real estate market returned to normal within a month, considering the financial market conditions at that time.


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