Local Investments Site Selection and the Behavior of the Real Estate Market – Case Study in Poland

2017 ◽  
Author(s):  
Monika Siejka
Keyword(s):  
Economic Development ◽  
Real Estate ◽  
Negative Impact ◽  
Real Estate Market ◽  
The European Union ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Real Estate Management

One of the main tasks of real estate management in the area of the municipality is making decisions concerning the location of investments on a local scale. These decisions should be taken with the principle of sustainable development. For such an action obliges Poland's membership in the European Union. Poland as a member of the EU is obliged to implement the rules in force in the Member States. Bearing in mind that any investment impact directly or indirectly on the economic development of the municipality, is therefore a significant impact on the local real estate market. Investments that have a negative impact on the environment can contribute to a reduction in the activity of the local real estate market. While performing tasks related to the economic development of the region and the increase in quality of life, increases the activity of the local real estate market. The work was carried out research on the dynamics of changes in the local real estate market in the area of the municipality Skrzyszow in the Malopolska province in Poland, in connection with the construction of the reservoir.

The Cadastre with Respect to the Integrated System of Real Estate Information

2017 ◽  
Author(s):  
Jadwiga Konieczna
Keyword(s):  
Real Estate ◽  
Spatial Information ◽  
Real Estate Market ◽  
Integrated System ◽  
Easy Access ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Two Factors ◽  
Real Estate Management ◽  
Proper Operation

The strength of each country is determined by two factors, namely the economy and efficient administration. One of the instruments allowing the administration to perform its tasks is a fully operational system of real estate information, which meets the requirements commonly imposed on the systems of spatial information. This includes such prerequisites as: the reliability of up-to-date information issued from the system, easy access to this information, and ensuring the protection thereof. An effective real estate management system is largely determined by an efficiently operating Cadastre, an institution with a century-old tradition, to which the legislator has assigned specific tasks, and which provides the basis for specific decision-making actions associated, inter alia, with the real estate market. The aim of the paper is to present the scope of work carried out in Poland as part of the development of the Integrated System of Real Estate Information (Polish: Zintegrowany System Informacji o Nieruchomosciach, ZSIN), and the possibilities for the use of existing information systems with a particular emphasis on cadastral data. The paper defines the tasks, principles and functions of the Cadastre, as well as the indicated direction of changes allowing the Cadastre to be adjusted to the proper operation of the ZSIN.

scholarly journals Diversified Price Dynamics in some Sub-Segments of the Housing Market

2015 ◽  
Vol 15 (1) ◽  
pp. 162-173
Author(s):  
Sebastian G. Kokot
Keyword(s):  
Real Estate ◽  
Price Index ◽  
Real Estate Market ◽  
Quality Of Data ◽  
The Real ◽  
The Real Estate ◽  
Transaction Prices ◽  
The Real Estate Market ◽  
Price Movements

Abstract The observation of price movements on the real estate market is an extremely difficult task as we have to face problems belonging to two spheres. The first of them is the specific nature of real estate as marketable objects and of the real estate market itself. The second one is the character and quality of data on real estate transaction prices. In this article the author, based on an empirical study, attempts to prove that even in a single segment of a local real estate market the prices in individual sub-segments can fluctuate with different intensity. The range of price movements can be so vast that it seems pointless to apply a single averaged price index for the whole segment, and usually that is what analysts do.

scholarly journals Evaluation of investing in real estate in EU and non-EU countries based on MCDM

2019 ◽  
Author(s):  
Seyit Ali Erdogan ◽  
Andrej Naumčik
Keyword(s):  
Economic Development ◽  
Real Estate ◽  
Social Economic ◽  
Real Estate Market ◽  
The Real ◽  
The Real Estate ◽  
Eu Countries ◽  
The Real Estate Market

Investment in real estate is a zoning issue as the real estate market is closely related to economic development and trends in real estate market are considered to be indicators of trends in the whole economy of the country. The goal of this paper is to analyse the main aspects and considerations when investing in real estate, evaluate investment in real estate situation in different EU and non-EU countries and introduce MCDM methods that could be used for selecting a state for investment in real estate. It is identified that when investing in real estate various political, social, economic, environmental and other factors have to be taken into consideration. Analysed examples of EU (Lithuania, Romania, UK) and non-EU (Turkey, China, Russia) countries show different risks and opportunities for investments in real estate. MCDM methods are applicable to evaluate which countries are most attractive for investment in real estate. Described TOPSIS and ARAS methods could be used for assessing states as alternatives when selecting where to invest

scholarly journals Construction of social indicators using information measuring principles. Case study of real estate prices simulation model

2011 ◽  
Vol 52 ◽  
Author(s):  
Aleksandras Krylovas ◽  
Natalja Kosareva ◽  
Laura Gudelytė
Keyword(s):  
Real Estate ◽  
Simulation Model ◽  
Empirical Data ◽  
Social Indicators ◽  
Real Estate Market ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Testing Tool ◽  
Real Estate Prices

The article analyses the data concerning the real estate market of last years in Vilnius. The approach of dichotomous diagnostic operators as general testing tool creation from the empirical data is used and deterministic clusterization of catchments is provided. Based on this analysis, questionnaire concerning the information about catchment is constructed for the evaluation of aggregated appartment price.

Building sales: advertising and the property market

2018 ◽  
pp. 168-207
Author(s):  
Conor Lucey
Keyword(s):  
Nineteenth Century ◽  
Real Estate ◽  
Real Estate Market ◽  
Property Market ◽  
Economic Activities ◽  
Luxury Goods ◽  
The Real Estate ◽  
The Real Estate Market ◽  
House Building

Having examined the building and decorating of the urban house, this chapter explores how the artisan approached marketing and selling real estate. As the first sustained analysis of property advertising in the eighteenth and early nineteenth-century Atlantic world, this chapter first considers how regional variations and social demographics (aristocratic audiences in London and Dublin compared with merchant audiences in Boston and Philadelphia) dictated the form and content of property notices, reflecting on issues such as location, quality of structural and decorative finish, convenience, and decorum. But while house-building and house-selling were principally economic activities, representing the motivating force for building mechanics to enter the real estate market, the evidence from property advertisements reveals that builders were cognizant of the semantics of advertising rhetoric and employed a vocabulary that emulated that of auctioneers, luxury goods manufacturers and other polite retailers.

Calibration of attributes influence in the process of real estate mass appraisal by using decision-making methods

2020 ◽  
Vol 66 (4) ◽  
pp. 287-308
Author(s):  
Krzysztof Dmytrów
Keyword(s):  
Real Estate ◽  
Statistical Approach ◽  
Correlation Coefficients ◽  
Real Estate Market ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Residential Properties ◽  
The Mean ◽  
Econometric Approach

There are situations in the real estate market in which a large number of properties have to be valued at the same time. In such cases it is advisable to use mass valuation methods. These methods involve estimating the value of a property on the basis of the values of the attributes defining it. The aim of the paper is to calibrate the influence of attributes on unit values of properties in mass appraisal in order to minimise the valuation error. The research was conducted for 318 residential properties located in Szczecin. The Szczecin Algorithm of Real Estate Mass Appraisal was used along with the econometric, statistical and expert approaches. The econometric approach is based on the ridge regression model, the statistical approach on the partial Kendall T correlation coefficients, and the expert approach on the AHP method. The quadratic programming was co-employed with the statistical and expert approaches in order to minimise the mean square error (MSE) of the valuations. The econometric and statistical approaches with the minimisation of the MSE generated best results. The least accurate results were obtained by means of the statistical and expert approaches without the minimisation of the MSE. However, even though the optimisation of the MSE improves the quality of valuations, it also narrows down their volatility, which might make the valuation of properties from the outside of a given database more problematic.

scholarly journals Identifying local differences with fused-MCP: an apartment rental market case study on geographical segmentation detection

2020 ◽  
Vol 3 (1) ◽  
pp. 183-214 ◽  
Author(s):  
Ryo Inoue ◽  
Rihoko Ishiyama ◽  
Ayako Sugiura
Keyword(s):  
Spatial Autocorrelation ◽  
Spatial Data ◽  
Real Estate Market ◽  
Spatial Analyses ◽  
The Real Estate ◽  
Local Characteristics ◽  
Estimated Parameters ◽  
The Real Estate Market

AbstractAs the variety and quality of spatial data increase in recent times, the potential to analyze local characteristics based on spatial data is getting stronger. Previous spatial analysis methods structuralize the spatial autocorrelation of data by the distances between data observation points and the contiguity of the data-observed regions. It is significant for the estimation of global characteristics of spatial data. However, these approaches are not suitable for identifying local differences from the data since they assume a smooth spatial autocorrelation structure. Generalized fused lasso, which can detect local differences in spatial data, has been proposed in machine learning studies. Its limitation is that the estimated parameters are biased toward zero; however, methods that overcome the limitation have also been proposed. Fused-MCP is one of those methods and is expected to be useful in spatial analyses. This study applies fused-MCP to spatial analyses. As an example of spatial analyses based on fused-MCP, this study analyzes the structure of geographical segmentation of the real estate market in central Tokyo. Fused-MCP is utilized to extract areas where the valuation standard is the same. The results reveal that the geographical segmentation displays hierarchal patterns. Specifically, the market is divided by municipalities, railway lines and stations, and neighborhoods. The case study confirmed the applicability of fused-MCP to spatial analyses.

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