scholarly journals Residential real estate market as an indicator of sustainable development of the region (on the example of Pskov region)

2019 ◽  
Author(s):  
G. Pivovarova ◽  
J. Lachno ◽  
S. Sogomonyan
Keyword(s):  
Sustainable Development ◽  
Real Estate ◽  
Real Estate Market ◽  
Residential Real Estate ◽  
Pskov Region

scholarly journals The Development of Housing Sector and Residential Real Estate Market After Economic Recession in Latvia

2015 ◽  
Vol 3 (1) ◽  
pp. 103-119 ◽  
Author(s):  
Sanda Geipele ◽  
Armands Auziņš
Keyword(s):  
Sustainable Development ◽  
Real Estate ◽  
Institutional Environment ◽  
Economic Recession ◽  
Real Estate Market ◽  
Housing Sector ◽  
Residential Real Estate ◽  
The Public ◽  
Efficient Management ◽  
Recession Period

Abstract The study is concerned with an examination of resource distribution in order to promote sustainable development of housing sector in the context of evolving residential real estate market after the economic recession period in Latvia. The statistical and comparative analysis methods have mainly been applied in the study, and the recommendations on the implementation of conceptual solutions for promoting the efficient management of housing sector according to the public needs have been provided. The findings of the study may significantly contribute when improving the housing policy and appropriate institutional environment in Latvia.

scholarly journals The Analysis of Urban Planning Aspects and Development of Residential Real Estate in Tallinn, Estonia

2020 ◽  
Vol 8 (1) ◽  
pp. 208-226
Author(s):  
İstemi Alp Köse ◽  
Linda Kauškale
Keyword(s):  
Sustainable Development ◽  
Urban Planning ◽  
Real Estate ◽  
Real Estate Market ◽  
Residential Real Estate ◽  
The Real Estate ◽  
Market Participants ◽  
Analysis And Synthesis ◽  
Development Analysis

Abstract At the present time, the world’s population is rapidly increasing, and the existing resources, which are limited, are being significantly consumed. Due to this fact, in order to use these resources more efficiently, the concept of planning day by day gains importance in the framework of sustainable development. Although Estonia is one of the countries that has the fewest number of people in Europe, owing to its economic reliability, high development level and worldwide awareness of the field of software, Estonia has become one of the less affected countries by the crisis. At the same time, Estonia is one of European countries that executes planning for long-term economic development. The aim of the research is to analyse the interrelation aspects between urban planning and residential real estate development on different levels in Tallinn, capital of Estonia, in the context of sustainable development. Analysis and synthesis, comparison, observation, and logical deduction methods are used within the research. According to the research conducted, the price ranges of real estate objects are closer to each other in the condition towards homogeneity in residential settlements which have similar residential and planning features. It can be recommended to build a contemporary system regarding interrelation of urban decisions and tendencies within development of the real estate market, which can help investors and other market participants in sustainable, efficient, and long-term decision making.

scholarly journals Motivation, Dilemma and Countermeasures of Foreign Bond Financing of Real Estate Enterprises?Based on Perspective of Financial Internationalization

2020 ◽  
Vol 3 (5) ◽  
Author(s):  
Yasai Liu
Keyword(s):  
Sustainable Development ◽  
Real Estate ◽  
Real Estate Market ◽  
Financing System ◽  
Real Estate Enterprises ◽  
Financing Channels ◽  
Financing Costs ◽  
Financial Internationalization ◽  
The Cost

Several real estate enterprises in China (hereinafter referred to as housing enterprises) rely on overseas financing to meet their financing needs, but it is fraught with challenges such as high financing costs. Premised on the internationalization of finance, combined with the background of "staying and not speculating" and establishing a long-term mechanism for real estate market, based on the investigation of the financing motives of real estate enterprises, combined with a large amount of data, the present study examines the current situation and predicament of overseas financing of housing enterprises. It proposes four feasible countermeasures to promote sustainable development of real estate enterprises overseas financing including building a special financing system to reduce the cost, expanding various financing channels, strengthening the supervision of overseas bond financing, and reducing the loss devaluation of RMB internally and externally.

scholarly journals International Real Estate Review

2021 ◽  
Vol 24 (2) ◽  
pp. 139-183
Author(s):  
Kristoffer B. Birkeland ◽  
◽  
Allan D. D’Silva ◽  
Roland Füss ◽  
Are Oust ◽  
...  
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Percentage Error ◽  
Residential Real Estate ◽  
Valuation Model ◽  
Stacked Generalization ◽  
Novel Approach ◽  
Out Of Sample ◽  
Selection For ◽  
Automated Valuation

We develop an automated valuation model (AVM) for the residential real estate market by leveraging stacked generalization and a comparable market analysis. Specifically, we combine four novel ensemble learning methods with a repeat sales method and tailor the data selection for each value estimate. We calibrate and evaluate the model for the residential real estate market in Oslo by producing out-of-sample estimates for the value of 1,979 dwellings sold in the first quarter of 2018. Our novel approach of using stacked generalization achieves a median absolute percentage error of 5.4%, and more than 96% of the dwellings are estimated within 20% of their actual sales price. A comparison of the valuation accuracy of our AVM to that of the local estate agents in Oslo generally demonstrates its viability as a valuation tool. However, in stable market phases, the machine falls short of human capability.

scholarly journals Assessment of Average Market Investment Returns in Development of the Residential Real Estate in the Moscow Region

2019 ◽  
Vol 12 (3) ◽  
pp. 140-152
Author(s):  
S. G. Sternik ◽  
Ya. S. Mironchuk ◽  
E. M. Filatova
Keyword(s):  
Real Estate ◽  
Initial Data ◽  
Housing Market ◽  
Return On Investment ◽  
High Reliability ◽  
Real Estate Market ◽  
Moscow Region ◽  
Residential Real Estate ◽  
Market Return ◽  
Total Investment

In the previous work, G.M. Sternik and S.G. Sternik justified the options for the method of assessing the average current annual return on investment in residential real estate development, depending on the nature and content of the initial data on the costs contained in the sources of information (construction costs or total investment costs). Based on the analysis of the composition of the elements of development costs used in various data sources, we corrected the coefficients that allowed us to move from the assessment of the current annual return on investment in development in relation to the cost (full estimated cost) of construction to the assessment of the current annual return on investment in relation to the total investment costs. This calculation method was tested on the example of the housing market inMoscow. As a result, we concluded it is possible its use for investment management in the housing market. In this article, based on G.M. Sternik and S.G. Sternik’s methodology for assessing the return on investment into the development, and taking also into account the increase of information openness of the real estate market, we improved the calculation formulas, using new sources of the initial data, and recalculated the average market return on investment into the development of residential real estate in the Moscow region according to the data available for 2014–2017. We concluded that, since 2015, the average market return on investment takes negative values, i.e. the volume of investment in construction exceeds the revenue from sales in the primary market. However, in the second half of 2017, the indicator has increased to positive values, which was due to a greater extent of the decrease in the volume of residential construction in the region. The data obtained by us, together with the improved method of calculations, allow predicting with high reliability the potential of the development of the regional markets of primary housing for the purpose of investment and state planning of housing construction programs.

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