Reason and Disadvantage of the Short-Lived Residential House in China

2012 ◽  
Vol 512-515 ◽  
pp. 2775-2779
Author(s):  
Guo Liang Li ◽  
Jian Ping Zhang
Keyword(s):  
Real Estate ◽  
Large Scale ◽  
Poor Performance ◽  
Design Quality ◽  
The Real Estate ◽  
Planning And Design ◽  
Residential House ◽  
City Construction ◽  
Real Estate Prices ◽  
Strange Phenomenon

There was a strange phenomenon in residential while city construction was on everywhere and market of real estate was prosperous in China. The absolute demolishing area and the ratio of demolishing area to completed area was consistent increasing. Poor performance of residential, unreasonable planning and design, quality problems and interest-driven are the main reasons through analysis. The serious waste of resource and pollution of environment have been resulted from the building and demolishing in a large-scale. At the same time, the demolition will destroy history and characteristics of the city, and will raise the real estate prices. The disadvantage was serious to country and social. The strange phenomenon should be arousing the whole society.

scholarly journals The Impacts in Real Estate of Landscape Values: Evidence from Tuscany (Italy)

2021 ◽  
Vol 13 (4) ◽  
pp. 2236
Author(s):  
Francesco Riccioli ◽  
Roberto Fratini ◽  
Fabio Boncinelli
Keyword(s):  
Real Estate ◽  
House Prices ◽  
Spatial Econometric ◽  
The Real ◽  
The Real Estate ◽  
Landscape Values ◽  
Individual Perception ◽  
Real Estate Prices ◽  
The Aesthetic ◽  
The Individual

Using spatial econometric techniques and local spatial statistics, this study explores the relationships between the real estate values in Tuscany with the individual perception of satisfaction by landscape types. The analysis includes the usual territorial variables such as proximity to urban centres and roads. The landscape values are measured through a sample of respondents who expressed their aesthetic-visual perceptions of different types of land use. Results from a multivariate local Geary highlight that house prices are not spatial independent and that between the variables included in the analysis there is mainly a positive correlation. Specifically, the findings demonstrate a significant spatial dependence in real estate prices. The aesthetic values influence the real estate price throughout more a spatial indirect effect rather than the direct effect. Practically, house prices in specific areas are more influenced by aspects such as proximity to essential services. The results seem to show to live close to highly aesthetic environments not in these environments. The results relating to the distance from the main roads, however, seem counterintuitive. This result probably depends on the evidence that these areas suffer from greater traffic jam or pollution or they are preferred for alternative uses such as for locating industrial plants or big shopping centres rather than residential use. Therefore, these effects decrease house prices.

scholarly journals Evaluation of the Applicability of Statistical Methods in Studies on Price Dynamics on the Real Estate Market

2013 ◽  
Vol 21 (1) ◽  
pp. 49-58 ◽  
Author(s):  
Sebastian Kokot ◽  
Marcin Bas
Keyword(s):  
Real Estate ◽  
Traditional Approach ◽  
Real Estate Market ◽  
Price Dynamics ◽  
The Real ◽  
The Real Estate ◽  
Transaction Prices ◽  
Time Period ◽  
The Real Estate Market ◽  
Real Estate Prices

Abstract The specific character of the real estate market is the reason why observations of transaction prices seen as statistical variables are taken in a non-standard way. In the traditional approach each time period or specific moments of time are attributed with one observation of a studied variable per one object. In the case of the real estate market, this is not possible since transactions relate to different objects, i.e., properties, and occur at irregular, or even random, moments. This is why traditional methods used to examine the dynamics of economic phenomena must be adapted to specific conditions on the real estate market. Keeping that in mind, the aim of this paper is to adapt classical statistical examination methods of dynamics to specific conditions of the real estate market followed by the actual examination of the dynamics of real estate prices in three sub-segments of the housing market in Szczecin. On its basis, the authors evaluate various methods of examining real estate price dynamics in terms of their applicability in real estate appraisal procedures and, in a broader perspective, present characteristic phenomena that can be observed on the real estate market.

An Empirical Research on the Relationship between Real Estate Prices and Inflation

2011 ◽  
Vol 55-57 ◽  
pp. 1992-1996
Author(s):  
Tie Qun Li
Keyword(s):  
Real Estate ◽  
Stock Prices ◽  
Test Analysis ◽  
Social Demand ◽  
The Real Estate ◽  
Key Factor ◽  
Negative Effect ◽  
Labor Service ◽  
Real Estate Prices ◽  
The Relationship

The former researches referring to inflation and real estate prices concentrated mainly on the stock prices rather than the real estate prices. Owing to the enlarging ratio of real estate industry in national economy with each passing day, as well as the overheating real estate prices in recent years, the relationship between real estate prices and inflation is particularly vital to the monetary policy making for the monetary authorities. According to the test analysis of data from 2001 to 2009, it is found that real estate prices is Granger Cause of inflation while inflation is not the Granger Cause of real estate prices in this paper. Through the Effects of Wealth, Credit and Tobin, real estate prices drive the growth of social consumption and investments and expand the total social demand which possess an positive effect on inflation; nevertheless the rising of real estate prices causes the rising of currency for real estate purchasing, which, under the circumstance of that currency supply remains, will inevitably bring about the reduction of currency for other consumption and investments and restrain the total social demand which would mean a suppression of continuous rising of prices of other commodity and labor service. All these show that real estate also has a negative effect on inflation. The cancellations between the two effects make the long-term influence real estate bearing on inflation is not obvious. The experimental results indicate that when the price of real estate rises 1%, inflation only rises 0.058%. Consequently, a strict controlling of the amount of money issued is the key factor for keeping the over rapid rising of real estate prices from leading to inflation.

Research on the Design of Community Landscape Planning under Eco-House Perspective

2014 ◽  
Vol 716-717 ◽  
pp. 541-544
Author(s):  
Xu Dan Zhou ◽  
Chun Li Zhao ◽  
Yue Qi ◽  
Hao Qi ◽  
Da Wei Jiang
Keyword(s):  
Real Estate ◽  
Landscape Planning ◽  
Rapid Development ◽  
Landscape Design ◽  
Living Environment ◽  
Success Factor ◽  
The Real Estate ◽  
Planning And Design ◽  
Residential Quarter ◽  
Real Estate Developers

With the advent of the knowledge economy and the rapid development of information technology era, people's demand for the living environment has been far more than mere material comfort. In this paper, good landscape design for residential quarter not only provides appropriate living conditions for dweller, satisfies people's yearning for home, improves the quality of urban environment, but also is the main prerequisites which measure the green quality and management of the community. Landscape planning and design of residential environment exists failed plant landscape design, weak user-friendly design, ignoring landscape such as issues. We have identified the principles of landscape planning and design community, and allocation of green plants. It is the important weights that real estate developers sell their items, which is an important success factor that the real estate developers operate company, and people will pay more and more attention to the landscape design.

scholarly journals Use of Statistical Models for Simulating Transactions on the Real Estate Market

2015 ◽  
Vol 23 (2) ◽  
pp. 102-111 ◽  
Author(s):  
Radosław Cellmer ◽  
Katarzyna Szczepankowska
Keyword(s):  
Probability Distribution ◽  
Real Estate ◽  
Statistical Models ◽  
Real Estate Market ◽  
Model Parameters ◽  
The Real ◽  
The Real Estate ◽  
Transaction Prices ◽  
The Real Estate Market ◽  
Real Estate Prices

Abstract The regularities and relations between real estate prices and the factors that shape them may be presented in the form of statistical models, thanks to which the diagnosis and prediction of prices is possible. A formal description of empirical observation presented in the form of regressive models also offers a possibility for creating certain phenomena in a virtual dimension. Market phenomena cannot be fully described with the use of determinist models, which clarify only a part of price variation. The predicted price is, in this situation, a special case of implementing a random function. Assuming that other implementations are also possible, regressive models may constitute a basis for simulation, which results in the procurement of a future image of the market. Simulation may refer both to real estate prices and transaction prices. The basis for price simulation may be familiarity with the structure of the analyzed market data. Assuming that this structure has a static character, simulation of real estate prices is performed on the basis of familiarity with the probability distribution and a generator of random numbers. The basis for price simulation is familiarity with model parameters and probability distribution of the random factor. The study presents the core and theoretical description of a transaction simulation on the real estate market, as well as the results of an experiment regarding transaction prices of office real estate located within the area of the city of Olsztyn. The result of the study is a collection of virtual real properties with known features and simulated prices, constituting a reflection of market processes which may take place in the near future. Comparison between the simulated characteristic and actual transactions in turn allows the correctness of the description of reality by the model to be verified.

scholarly journals The use of mean values for reporting real estate prices

2021 ◽  
Vol 64 (04) ◽  
pp. 513-532
Author(s):  
Melita Ulbl ◽  
Andraž Muhič
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Mean Values ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Special Challenge ◽  
The Republic ◽  
Real Estate Prices ◽  
The One

The proper and unambiguous reporting of the real estate market is one of the main requirements for ensuring its transparency. Reporting on the prices of real estate realised on the market is a special challenge here. For this purpose, averages are generally used, requiring both the reporter and the reader to be well acquainted with the rules of individual types of averages on the one hand and the specificities and heterogeneity of the real estate market on the other. In this paper, we present the specifics of individual mean values that can be used for this purpose. These characteristics are analysed in more detail and presented in the case of the Slovenian housing market. The purpose of this paper is to present the dilemmas faced in Slovenia when reporting on real estate prices on the market and present the solutions that the Surveying and Mapping Authority of the Republic of Slovenia will begin to introduce in its reports on the real estate market.

Wind power and real estate prices in Oklahoma

2018 ◽  
Vol 11 (5) ◽  
pp. 808-827 ◽  
Author(s):  
Becca Castleberry ◽  
John Scott Greene
Keyword(s):  
Real Estate ◽  
Wind Turbines ◽  
Property Values ◽  
Wind Farms ◽  
Land Values ◽  
Content Type ◽  
The Real Estate ◽  
History Of ◽  
Negative Impacts ◽  
Real Estate Prices

PurposeOklahoma has seen rapid growth in the development of wind energy over the past decade. Residents are concerned about the negative impacts of turbines such as noise or their appearance. This has raised concerns about property values. Thus, this paper aims to examine and quantify the overall impact of wind turbines upon real estate prices in Western Oklahoma.Design/methodology/approachSales prices and the history of approximately 23,000 residential real estate records for both platted and unplatted properties in five counties were examined prior to the announcement of construction, after announcement and after construction. A hedonic analysis was undertaken to examine the real estate prices of the properties near wind farms.FindingsWhile there may be isolated instances of lower property values for homes near wind turbines, results show no significant decreases in property values over homes near wind farms in the study area. Similar results are found for the unplatted properties.Practical implicationsThis paper highlights that in spite of mixed attitudes toward wind farms and misconceptions regarding the link between turbines and property values, Oklahoma’s growing wind industry can continue to thrive without negatively impacting nearby home and land values and prices.Originality/valueAlthough there have been numerous studies examining the relationship between wind turbine locations and real estate prices, no study has combined the large quantity of records (over 23,000) as well as both platted and unplatted locations.

scholarly journals COVID-19 Infects Real Estate Markets: Short and Mid-Run Effects on Housing Prices in Campania Region (Italy)

2020 ◽  
Vol 9 (7) ◽  
pp. 114 ◽  
Author(s):  
Vincenzo Del Giudice ◽  
Pierfrancesco De Paola ◽  
Francesco Paolo Del Giudice
Keyword(s):  
Real Estate ◽  
Housing Prices ◽  
Real Estate Market ◽  
Campania Region ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate ◽  
Short Run ◽  
Predator Model ◽  
Real Estate Prices

The COVID-19 (also called “SARS-CoV-2”) pandemic is causing a dramatic reduction in consumption, with a further drop in prices and a decrease in workers’ per capita income. To this will be added an increase in unemployment, which will further depress consumption. The real estate market, as for other productive and commercial sectors, in the short and mid-run, will not tend to move independently from the context of the aforementioned economic variables. The effect of pandemics or health emergencies on housing markets is an unexplored topic in international literature. For this reason, firstly, the few specific studies found are reported and, by analogy, studies on the effects of terrorism attacks and natural disasters on real estate prices are examined too. Subsequently, beginning from the real estate dynamics and economic indicators of the Campania region before the COVID-19 emergency, the current COVID-19 scenario is defined (focusing on unemployment, personal and household income, real estate judicial execution, real estate dynamics). Finally, a real estate pricing model is developed, evaluating the short and mid-run COVID-19 effects on housing prices. To predict possible changes in the mid-run of real estate judicial execution and real estate dynamics, the economic model of Lotka–Volterra (also known as the “prey–predator” model) was applied. Results of the model indicate a housing prices drop of 4.16% in the short-run and 6.49% in the mid-run (late 2020–early 2021).

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