scholarly journals Hedonic Analysis of Housing Prices and Development in Kaunas: Heritage Aspect

2019 ◽  
Vol 75 (2) ◽  
pp. 15-27
Author(s):  
Kastytis Rudokas ◽  
Mantas Landauskas ◽  
Odeta Viliūnienė ◽  
Indrė Gražulevičiūtė - Vileniškė
Keyword(s):  
Real Estate ◽  
Urban Areas ◽  
Housing Prices ◽  
Positive Influence ◽  
Hedonic Price ◽  
The Real ◽  
The Real Estate ◽  
Heritage Buildings ◽  
New Construction ◽  
Real Estate Prices

The urban economists have stressed the importance of various amenities for the attractiveness of urban areas for residents and businesses and built cultural heritage can be considered as one of such amenities, the benefits of which should not be overlooked. This research was aimed to analyze the influence of heritage aspect including the heritage status or features of the building and the historic built environment in general on the real estate prices and development in Kaunas using hedonic price method. Two sets of data were collected for the analysis - general, including heritage buildings and including new construction since 2013. The research has demonstrated that heritage status and the year of construction (as older buildings can be considered having heritage features) have no significant positive influence on the real estate prices. Meanwhile, the location, heritage context and the architectural distinctiveness of new architecture have a direct influence on the real estate prices. The heritage context correlates with architectural quality of new construction as well. This reveals the benefits of heritage context both for the real estate developers and households; however, the study shows the unemployed social-economic potential of historic buildings as generators and maintainers of heritage context.

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).

scholarly journals Urban Vibrancy: An Emerging Factor that Spatially Influences the Real Estate Market

2020 ◽  
Vol 12 (1) ◽  
pp. 346 ◽  
Author(s):  
Alice Barreca ◽  
Rocco Curto ◽  
Diana Rolando
Keyword(s):  
Real Estate ◽  
Urban Areas ◽  
Housing Prices ◽  
Real Estate Market ◽  
Current Status ◽  
The Real ◽  
The Real Estate ◽  
Activity Intensity ◽  
The Real Estate Market ◽  
Spatial Autoregressive

Urban vibrancy is defined and measured differently in the literature. Originally, it was described as the number of people in and around streets or neighborhoods. Now, it is commonly associated with activity intensity, the diversity of land-use configurations, and the accessibility of a place. The aim of this paper is to study urban vibrancy, its relationship with neighborhood services, and the real estate market. Firstly, it is used a set of neighborhood service variables, and a Principal Component Analysis is performed in order to create a Neighborhood Services Index (NeSI) that is able to identify the most and least vibrant urban areas of a city. Secondly, the influence of urban vibrancy on the listing prices of existing housing is analyzed by performing spatial analyses. To achieve this, the presence of spatial autocorrelation is investigated and spatial clusters are identified. Therefore, spatial autoregressive models are applied to manage spatial effects and to identify the variables that significantly influence the process of housing price determination. The results confirm that housing prices are spatially autocorrelated and highlight that housing prices and NeSI are statistically associated with each other. The identification of the urban areas characterized by different levels of vibrancy and housing prices can effectively support the revision of the urban development plan and its regulatory act, as well as strategic urban policies and actions. Such data analyses support a deep knowledge of the current status quo, which is necessary to drive important changes to develop more efficient, sustainable, and competitive cities.

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 Households and real estate: Strategies of accumulation and inequality in Spain, 2002-2017

2021 ◽  
pp. 1-4
Author(s):  
Diederik Boertien ◽  
Antonio López-Gay
Keyword(s):  
Real Estate ◽  
Urban Areas ◽  
Housing Prices ◽  
Wealth Inequality ◽  
Real Estate Market ◽  
Economic Resource ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Property Owners

Real estate has traditionally been an important economic resource for Spanish households. The development of the real estate market in Spain during the 21st century brings forth two very different stories. The first story is one of obstacles to access housing. It has become increasingly hard to buy or rent a home. Housing prices have risen considerably in urban areas while people’s income changed very little. The second story is one of accumulation of properties. Housing has been, and continues to be, a form of saving, investment and speculation for small and large property-owners. Falling housing prices permitted resourceful households to accumulate more properties during the financial crisis. These two stories lead to the following question: How did changes in the ownership of properties impact inequality in Spain? In this Perspectives Demogràfiques, we analyse how developments in the real estate market are connected to wealth inequality in Spain. The results point at a polarization of access to property; both the number of households without property and the number of households with multiple properties increased over time. Because real estate is the most important form of household’s wealth, the accumulation of properties has become a non-negligible part of wealth inequality between households in Spain.

FINANCIAL DEVELOPMENT AND HOUSING PRICE CHANGES UNDER THE CONDITION OF FINANCIAL CONTROL: EVIDENCE FROM CHINA

2021 ◽  
pp. 1-27
Author(s):  
XUE LI ◽  
RUO-XI ZHANG
Keyword(s):  
Real Estate ◽  
Financial Development ◽  
Housing Prices ◽  
Housing Price ◽  
Financial Control ◽  
Real Estate Industry ◽  
Price Changes ◽  
The Real ◽  
The Real Estate ◽  
Real Estate Prices

The impact of financial development on the real estate industry has increased with the degree of financial control. This research presented in this paper divides China’s area into strong and weak regions based on the degree of financial control, and then it studies the relationship between housing price changes and the level of financial development using panel data from the period 1994 to 2018. We find that the level of national sample financial development plays an important role in promoting the housing prices. In areas with strong financial control, financial resources tend to be allocated to the real estate industry, boosting real estate prices. In areas with weak financial control, the role of financial development in promoting real estate prices is not obvious. The funds accumulated by financial institutions are more marketable and independent. We have confirmed these findings by our analysis of the transformation of certain financial control and financial development variables, the application of Panel-VAR estimation methods, and other robustness tests.

scholarly journals Is the Real Estate Market of New Housing Stock Influenced by Urban Vibrancy?

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-22
Author(s):  
Alice Barreca ◽  
Rocco Curto ◽  
Diana Rolando
Keyword(s):  
Real Estate ◽  
Urban Areas ◽  
Housing Stock ◽  
Housing Prices ◽  
Real Estate Market ◽  
Sustainable Urban Development ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Spatial Autoregressive

The attractiveness and vibrancy of an urban area are very complex aspects that both Public Administrations and real estate developers and construction companies have to carefully consider in order to correctly address their investments and sustainable urban development projects. The aim of this paper is to study urban vibrancy and its relationship with the neighbourhood services and the real estate market of new housing stock. Spatial analyses are performed to study the influence of the Neighbourhood Services Index (NeSI) and its Principal Components (PCs) on listing prices and the construction activity. Spatial autoregressive (SAR) models are applied both with lattice data and data points, in order to manage spatial dependence and to identify the variables that significantly influence housing prices and construction site density. Findings highlight that the NeSI significantly influences the real estate market of new housing stock and that above the analysed neighbourhood services and the retail activities have a great, significant, and positive influence on the density of housing construction sites. The results of this study represent a real support for both public and private bodies to identify the most and least attractive and vibrant urban areas and to deal with important aspects of urban complexity.

scholarly journals The Influence Of Financing On The Dynamics Of Housing Prices

2014 ◽  
Vol 14 (2) ◽  
pp. 101-113
Author(s):  
Mirosław Bełej ◽  
Sławomir Kulesza
Keyword(s):  
Real Estate ◽  
Open Systems ◽  
Housing Prices ◽  
Real Estate Market ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Real Estate Prices ◽  
National Housing

Abstract Real estate market can be thought of as an open, dynamic system. It means that it is able to exchange stimuli with other open systems, and that its state evolves in a way that might be described mathematically. It turns out that two main processes contribute to the overall evolution of the real estate market: long-term, predictable evolution, interrupted by sharp changes of catastrophic origin. In this picture, national housing funds play an important role in supporting the housing finance: on one hand they could either stimulate or suppress the real estate market influencing the availability of the mortgage credit, but on the other hand, they could also help to stabilize prices. In this study, an attempt was made to determine the degree of relationship between the volume of mortgage financing from national housing funds and the dynamics of real estate prices.

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.

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