scholarly journals International Real Estate Review

2008 ◽  
Vol 11 (1) ◽  
pp. 96-112
Author(s):  
David E. Frame ◽  

Despite both empirical and anecdotal evidence suggesting the importance of common systematic factors determining price appreciation in residential real estate markets, the existing literature focuses almost exclusively on the impact of local variables. This paper presents a theoretical model of an urban housing market allowing for explicit consideration of the role of interregional migration in response to changes in economic opportunities within a system of cities. The model identifies the importance of aggregate income and aggregate population growth in house price appreciation and suggests that housing demand and population growth within regions are jointly determined. Empirical tests of these predictions provide strong support for the model. In particular, changes in per-capita aggregate income are negatively related to both returns to housing and local population growth and omitting this systematic component from empirical specifications leads to an underestimation of the impact of local income. Furthermore, there is significant evidence of endogeneity problems in empirical specifications of the model that are similar to those found in the existing literature.

2014 ◽  
Vol 587-589 ◽  
pp. 37-41 ◽  
Author(s):  
Yi Hua Mao ◽  
Meng Bo Zhang ◽  
Ning Bo Yao

Hangzhou, the capital of Zhejiang province and a famous scenic tourist city in China, goes at the forefront of the country for its high real estate prices, which hold a very important position of orientation to pricing in the real estate markets of the Yangtze River Delta region and of the whole country as well. The price trend of Hangzhou's real estate is even related to the sustainable development of the city. This paper uses the macro data on the housing market in Hangzhou during 1999-2012 to establish a forecasting model which is based on BP neural network of genetic algorithm optimization. With MATLAB software exploited for programming and simulation, the prediction made by the model about the housing demand in Hangzhou and the subsequent re-examination show that the model has high precision. But due to the impact of the national macro-control policies on housing market, the predictive value of some years may fluctuate to a certain extent.


2020 ◽  
Vol 1 (1) ◽  
pp. 34-49
Author(s):  
Mazed Parvez

Bangladesh is one of the in large part populated countries in the sector. With the urbanization fashion, the populace within the city location is increasing every day. These days the population is about 30 million, and on the 12 months 2040, it has miles anticipated at about two hundred million. With the growing city population, housing calls for in will increase every day. However, the call for will increase the high-quality of urban housing decline. Pleasant residence with a better carrier facility cannot be ensured. Non-public housing gives first-rate city housing, which is needed. The real estate area contributes to quality housing to fulfill city housing demand. Pabna is one of the quickest growing cities in Bangladesh. The city has a populace of about 116305 with this huge populace like different towns of Bangladesh, Pabna cannot provide suitable housing to the city dwellers. Monsurabad housing estate, a real estate corporation placed at Pabna, affords housing facilities to urban dwellers. This observation aimed to determine the contribution of real property zone most of the urban housing and the overall performance of housing facility presents through the real estate region. From this overall performance assessment, a new manner will emerge with the aid of which the private sector contribution to fulfill the city housing demand might be determined and cannot apprehend the fine of housing furnished through the real estate area. This has a look at also consists of some lacking of actual estate quarter and recommends overcoming the missing. Subsequently, the examination could explain how the low- and middle-magnificence-income level humans may be afforded on the entire real estate.


Filomat ◽  
2016 ◽  
Vol 30 (15) ◽  
pp. 4151-4171
Author(s):  
Zhu Linlin ◽  
Li Xiuting ◽  
Dong Jichang

The population of China has been aging quickly in recent years, which will profoundly affect the housing market. This paper aims to analyze the effect of aging on urban housing demand. First, a general equilibrium model with an overlapping generation structure is established to analyze theoretically the effect of aging. Then, this paper uses GAMS software to simulate and forecast the change trend in urban housing demand. Finally, based on the research sample of 287 large and medium-sized cities in China in 2010, this paper uses ArcGis9.3 software to study empirically the influence of aging on urban housing demand and concludes that aging can increase urban housing demand.


Author(s):  
Biao Sun ◽  
Shan Yang

Fine particulate matter(PM2.5) pollution will affect people’s well-being and cause economic losses. It is of great value to study the impact of PM2.5 on the real estate market. While previous studies have examined the effects of PM2.5 pollution on urban housing prices, there has been little in-depth research on these effects, which are spatially heterogeneous at different conditional quantiles. To address this issue, this study employs quantile regression (QR) and geographically weighted quantile regression (GWQR) models to obtain a full account of asymmetric and spatial non-stationary effects of PM2.5 pollution on urban housing prices through 286 Chinese prefecture-level cities for 2005–2013. Considerable differences in the data distributions and spatial characteristics of PM2.5 pollution and urban housing prices are found, indicating the presence of asymmetric and spatial non-stationary effects. The quantile regression results show that the negative influences of PM2.5 pollution on urban housing prices are stronger at higher quantiles and become more pronounced with time. Furthermore, the spatial relationship between PM2.5 pollution and urban housing prices is spatial non-stationary at most quantiles for the study period. A negative correlation gradually dominates in most of the study areas. At higher quantiles, PM2.5 pollution is always negatively correlated with urban housing prices in eastern coastal areas and is stable over time. Based on these findings, we call for more targeted approaches to regional real estate development and environmental protection policies.


2011 ◽  
Vol 9 (6) ◽  
pp. 51 ◽  
Author(s):  
Lynne Kelly

This paper examines house price appreciation in the US from 2004 through 2009, a period marked by a boom-and-bust cycle for house prices, to investigate the impact of the extensive use of no income verification loans and investor activity on house price movements. House price appreciation for each state and Washington, DC is modeled in cross-sectional time series regressions using macroeconomic variables and loan type intensities. The findings suggest that widespread use of no income verification loans and non-owner occupied loans directly impacts house price movements and significantly explains the astonishing gains and sudden losses that occurred during the sample period.


2017 ◽  
Vol 08 (02) ◽  
pp. 1750008 ◽  
Author(s):  
Yihan Liu ◽  
Niklas Westelius

Is Japan’s aging and, more recently, declining population hampering its growth and reflation efforts? Exploiting the demographic and economic variation in the prefectural data between 1990 and 2007, we find that aging of the working age population has had a significant negative impact on the total factor productivity (TFP). Moreover, prefectures that aged at a faster pace experienced lower overall inflation, while prefectures with higher population growth experienced higher inflation. The results give strong support to the notion that demographic headwinds can have a non-trivial impact on the TFP and deflationary pressures.


2020 ◽  
Vol 13 (1) ◽  
pp. 5-16
Author(s):  
John V. Duca

Purpose The purpose of this paper is to provide perspective on whether and why global metro house prices have become more synchronized, and perspective on the limited implications of this for investing in international real estate. Design/methodology/approach This paper reviews main findings from the literature on house price determination, reviews the emerging literature on global synchronization, and provides graphs to illustrate main points and trends. Findings House prices have become somewhat more synchronized likely reflecting greater correlation in long-term interest rates and macroeconomic cycles related to trends in globalization and international portfolio diversification. Nevertheless, this trend has not been continuous, reflecting that house prices depend on other fundamentals, which are not uniform across areas. Theory and evidence indicate that the more common are fundamentals, the more synchronized are house price cycles and the more substitution effects may matter. Also, real estate markets that are open to immigration and foreign investment have become more sensitive to shifts in the international demand for property by migrants or investors. Research limitations/implications Changes in international house price synchronization stem from variation in two categories of key drivers of house prices. The first are traditional supply and demand fundamentals. The second include international capital flows and immigration. Both sets of factors are sensitive to the economic environment and public policy. Increased synchronization of business cycles, the Euro currency union, and more common monetary policy strategies and tactics have fostered greater correlation of real interest rates across countries, which tend to increase house price synchronization. These effects can be amplified by the tendency for property owners to use extrapolative expectations of future house prices. Practical implications Shifts in prospective returns and the synchronization of international property returns not only on arbitrage of general property price differentials but also on underlying factors driving those differentials. Investors need to be mindful of the risks that metro prices sometimes reflect bubble-builder dynamics that can give rise to over-shooting of house prices. Observing simple correlations and changes in those correlations does not do away with the need for careful analysis of property investment, and if anything, warrant analysis of both how and why one may observe changes in the extent to which international house prices is synchronized. Social implications Despite the rise of globalization and of new technologies, the author has seen substantial divergences in house prices emerge across gateway cities and metros in less vibrant areas within countries. These reflect not only the impact of stronger income and population in more tech, educated and global oriented cities but also changes in the demand for amenities toward more culturally appealing cities, often – but not exclusively in – warmer or coastal areas where the supply elasticity of housing is often limited. Further complicating investment decisions are potential shifts in housing or immigration policy that can notably affect the demand for housing. Originality/value The paper provides practical perspective on why different groups of international cities have seen their house prices become more sychronized. Nevertheless, increased synchronization has occurred within an elite set of major cities, but in an environment house prices have diverged across gateway cities and metros in less vibrant areas within countries. The paper helps investors make sense of some recent patterns and recent prospects for investing in international real estate.


Author(s):  
James Okorocha

Abstract: The effect of population growth on urban housing is a global challenge but the worst examples are found in the developing world which has led to an increased growth of poorly planned cities in the developing world, and loss of aesthetics. The aim of this research is to assess the level of population pressure on urban housing within Ngwa Road, Ohanku and Obohia environs in Aba South local government area in Abia State. The research evaluated housing demand and supply in the area, condition of houses in the area, factors encouraging population growth in the study area and level of compliance of buildings with town planning laws. The study area has an estimated 2021 population of 138017 as projected from 88,951 in 2016 with a growth rate of 2.94%. The research data was collected through household survey, Aba South Town Planning Authority, National Population Commission and the Aba South Street Naming and House Numbering Office. The simple random sampling technique and the purposive sampling technique were employed by the researcher with a sample size of 399.9 at 0.05 confidence level which was determined using the Taro Yamane method for sample size collection. The Principle Component Analysis (PCA), Principle Component Regression (PCR), standard deviation, weighted mean, percentages/proportions to analyze the data collected. The Principal Component Analysis result showed that component I have the highest loading with eigen value of 6.721 while component II has an eigen value of 3.279. The result showed that ease of access to commercial activities and educational level of heads of households are major factors encouraging population growth in the study area. The research revealed a housing demand and supply cluster estimate of 60.11% which was not considered statistically high. The average response of 93.2% is that houses in the study area are in a poor condition. The Aba South town planning authority revealed a 0.741 standard deviation which shows a high level of non-compliance with town planning laws. The research hypothesis was tested using Spearman Rank Correlation test at 0.05 level of confidence and the null hypothesis was accepted. Looking at the Land-UseLand-Cover images of the area obtained for 3 epochs from 1980-2020, the study area experienced an major growth in rate of housing stock after year 2000 and with increasing population growth, the area may soon be unable to carry the population that will be found there. This research calls the attention of the Abia State government in particular and the federal government in general to address these challenges through recommended public-private partnership and decentralization of pull factors. These recommendat


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