scholarly journals Development of coasts: socio-ecologic-economic specifics

POPULATION ◽  
2020 ◽  
Vol 23 (4) ◽  
pp. 50-60
Author(s):  
Igor Gordin ◽  
Yelena Ryumina

Preferential settlement along the coasts of water bodies (rivers, lakes, seas), dictated by a variety of production and recreational factors, has always been accompanied by environmental disruptions. A specific complex of social, environmental and economic problems arose with the beginning of mass cottage development of Russian coasts. At the same time, certain environmental risks were ignored. Until that time, the country had strict restrictions on the approach of dwellings to water and the operational regimes of households in the water protection zone. Particularly strict regulation for construction and operation of dwellings existed for the coasts of sources of communal water supply to cities and rural settlements and in resort and recreation zones. Today, coastal development is in many ways a chaotic process, accompanied by a wide range of legal and environmental violations. A critical situation developed on the sources of water supply in Moscow, at water supply facilities in other cities of the Russian Federation, on the sea coasts of the Krasnodar Krai and Crimea. Residents of prestigious coastal settlements form a large social group with a specific mentality. Very often it is based on a persistent desire to ignore environmental-legal imperatives for the sake of possessing expensive real estate and elitist recreation conditions. The methodology for study of the situation, based on the general principles of systemic analysis of socio-environmental-economic processes, makes it possible to significantly bring the economic interests of the social group in question closer to environmental and state interests. There is proposed a concept of improving the situation through proof of the inevitable depreciation of coastal real estate due to environmental degradation of water bodies on the banks of which unregulated development is conducted. At the same time, both the deterioration of the recreational climate up to a complete discomfort and the immediate economic losses of the population expressed by drop in the price of land and households in the real estate market, are equally important factors of depreciation.

Stanovnistvo ◽  
2013 ◽  
Vol 51 (1) ◽  
pp. 69-90 ◽  
Author(s):  
Vesna Lukic

In this paper, we emphasise the significance of studying the interrelations between commuting and migration. The aim of the paper is to point out the factors which affect these interrelations (demographic and socio-economic characteristics of migrants and commuters, labour market, real estate market, information, life style, etc.), with the special emphasis on the role of commuting distance onto the chosen mobility type. Besides theorethical frameworks and results of the selected foreign researches up to date, the overview of research of interrelations between migration and commuting in Serbia has also been presented. While earlier studies conducted by Gawryszenski (1978), Termote (1980) and Reitsma&Vergoossen (1987) pointed to the replacement of migration types between each other within country, in recent literature the interaction between migration and commuting has been studied in a trans-boundary context of the contemporary EU. Modern trend of long distance commuting instead of migration and the concept of substitution/replacement regarding migration and commuting have also been discussed. In Serbia, there is a positive correlation between commuting outflows and immigration in rural settlements of Vojvodina province. Namely, commuting and migration are complement, which is the characteristic of both processes sub-urbanisation and ex-urbanisation (Lukic, 2012). In addition to ownership of real estate and previous migration experience, marital status influenced the chosen mobility type in Serbia as well. Adjustment to changes of Serbian labour market is mostly conducted via migration (Miletic, Lukic, Miljanovic, 2011). Interrelations between migration and commuting are very significant due to the tendency of transformation of some commuters into migrants. This process has its consequences, both on demographic as well as the overall socio-economic development of the area of commuters? origin and destination. However, even though the surveys conducted in Serbia during the 1980s showed that around 30 per cent of commuters expressed desire to move to their place of work, the degree of realization of these intentions remained unknown. While in some countries traffic studies and data from the management of the enterprises are used as sources of data on commuting, the studies on the commuter population in Serbia are based solely onto two types of data sources. These are census and poll surveys. Although they have more potential than the official statistics for the analysis of the links between migration and commuting and other characteristics of commuters, poll surveys on this topic in Serbia are relatively rare due to financial and organizational obstacles. Indeed, the last major survey was conducted in the 1980s. Therefore, even though the interrelations between migration and commuting have been confirmed, there is still a lot of space for their research indicating the need for further methodology developments in researching these types of population mobility.


2011 ◽  
Vol 15 (15) ◽  
pp. 57-69
Author(s):  
Fátima De Matos

Ageing and Quality of Life - New Responses from the Real Estate Sector in Portugal (1) In the second half of the 20th century, the history of European demography is associated with a pronounced and widespread process of ageing. The 21st century will have to cater to the needs of an elderly population in transformation. Portugal is also part of this process and in efforts to improve the quality of life of the elderly, a wide range of facilities, services and social responses have been established by a variety of promoters, targeting several social levels. This paper will analyze a specific segment directed at an exclusive niche of the elderly population, the Senior Residential Condominiums. This is a very recent segment of the housing market, with high levels of comfort, quality, sanitation, health, and recreation, essential to full well-being. The paper intends to characterize this real estate market niche so as to identify its distinctive features, the promoting agents and how they can contribute to residents' quality of life.


2019 ◽  
Vol 16 (1) ◽  
pp. 41-56
Author(s):  
Dmitry V. Dianov ◽  
Pavel A. Smelov

The primary real estate market is one of the youngest segments of the market economy in modern Russia. If the genesis of the modern secondary market was observed in the pre-reform period: barter relations in terms of urban housing, the purchase and sale of suburban areas were freely carried out, small suburban real estate, garage buildings, etc., the real market relations with the relevant legal framework in terms of ownership rights in the primary market became possible only with the change of economic formation. All participants in the rapidly emerging primary real estate market quickly became familiar with pricing, market conditions, utility criteria and many other parameters inherent in this market segment. However, issues of managing business processes on the primary market of real estate, including a balance of opportunities for sellers and customer needs, pricing, adequate information support to all management levels, still are a problem and remain open.Purpose.The relevance and social need for statistical study of the primary real estate market determined the purpose of scientific work as a clarification of the nature, content, boundaries and participants of the market in order to improve and develop statistical methodology.Materials and methods.To make the research and form the adequate conclusions when writing a scientific paper, the extensive material of theoretical, methodological and applied nature was used, the authors of which are both domestic and foreign scientists in the field of statistics, management, investment, marketing and technical sciences. The paper uses a wide range of general scientific methods of knowledge, the use of which together allowed to abstract from the non-essential aspects and mutually reinforcing factors that do not ultimately have a tangible impact on the state and dynamics of the primary real estate market - methods of abstraction and idealization; moving from the general laws of the real estate market, to form private conclusions concerning the segments and even objects of the primary real estate market as an object of statistical research – the method of deduction; to comprehend the object as a whole and at the same time as an interconnected mechanism represented by all its structural components – methods of analysis and synthesis; to conduct a comparative analysis of objects and identify possible vectors of the market development – methods of analogy and mental-symbolic modeling.Results. Qualitative analysis allowed to determine the place and importance of the primary real estate market in the entire system of multi-market economy; to identify the life cycle of the objects of the market and on their basis to structure it; to identify the factors of development of the primary real estate market, quantitative assessment of the impact of which will be subsequently given on the basis of regression analysis; to summarize the set of risks that determine the diverse variation of the primary real estate market. The development of statistical methodology for the study of the primary real estate market can be based only on a clear understanding of the nature and internal content of the studied object. At the same time, so sensitive to the market and general economic situation in the country and each region, the market is constantly changing: it does not have a stationary point. Therefore, it is necessary not only quantitative analysis of the object on the basis of statistical methods, but also continuous monitoring of all economic phenomena that contribute to the modification of the primary real estate market.


Author(s):  
Xiaofei Han ◽  
Jiaxi Hou

This on-going research delineates the constructing of an interlocking ecosystem around popularity magnification on popular Chinese digital platforms, which we refer as “data bubble”. Similar to the bubble in a stock market or in real estate market in different economies where the price of assets substantially exceeds its intrinsic value, we propose “data bubble” as a neologism to describe the phenomenon and ecosystem of manipulating data to aim for an inflated popularity on Chinese digital platforms, which ultimately pitch to higher commercial and financial values. We argue that data bubble is laced with platform company’s commercial and financial imperatives, logics of datafication and popularity of platform as data infrastructure, and active participation from different user groups and complementors, and a deeply embedded mentality of “traffic is king”. It is achieved through mixed data practices including data optimization, commercial astroturfing, and counterfeit data manufacturing behind which a wide range of actors and entities are involved. They range from platforms, individual end users (fans in particular), influencers, multi-channel networks (MCNs) and incubators, celebrities and their agencies, click farms, and advertisers—all of them have achieved their own ends and thus actively participated in fabricating data bubble in one way or another. The practices of data manipulating and optimization by different participants in constructing data bubble, as a result, have driven the data metrics on Chinese platforms far over—and no longer representative of—the actual popularity.


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.


2013 ◽  
Vol 21 (1) ◽  
pp. 69-76 ◽  
Author(s):  
Oksana Kuryj-Wysocka ◽  
Radosław Wiśniewski

Abstract In the economic theory, competition is considered to be a fundamental principle of the free market. Due to the competition, customers get lower prices, better service quality, more and more choices. The competition in the real estate market is a very important factor in its development. Buying or selling real estate is often one of the most important financial transactions, which require the purchaser. With the reference to the above, the participants of the real estate market need to analyse a number of transactions and do a detailed understanding of the market before making a decision and finding a deal that meets all the expectations which will not be diverging significantly from remaining offers functioning in the given area of the market. The phenomenon of competition is very advantageous for buyers of a real estate, because it shows a wide range of various possibilities which one should consider before making a final choice. Times of crisis trigger a tendency of the growing competition in the property market, what results in a decrease in real estate prices. This article brings up the issue of price and non-price competition on the real estate market and the influence which it exerts on the decision of the purchaser. The aim of this paper is to present the phenomenon of the competition at three levels (levels), by examining what relationship occurs between the entities functioning on the market, what occurs between entities and objects, and how the entities, i.e. individual real estate, compete with each other. This study will be conducted with methods of statistical analysis of the market, however Herfindahl-Hirschman Index will be used to measure competition on the local real estate market.


Author(s):  
Urmika Vishwakarma

Abstract: The valuation of real estate is a central tenet for all businesses. Land and property are factors of production and, as with any other asset, the value of the land flows from the use to which it is put, and that in turn is dependent upon the demand (and supply) for the product that is produced. Valuation, in its simplest form, is the determination of the amount for which the property will transact on a particular date. However, there is a wide range of purposes for which valuations are required. These range from valuations for purchase and sale, transfer, tax assessment, expropriation, inheritance or estate settlement, investment and financing. The objective of the paper is to provide a brief overview of the methods used in real estate valuation. Valuation methods can be grouped as traditional and advanced. The traditional methods are regression models, etc. MRA has been implemented by many researchers to study valuation of real property cite that MRA is possible for coefficient estimates and factor weightings using a large number of actual sale cases. Keywords: Real property, property valuation, multiple regression analysis, SWOT Analysis


2019 ◽  
Vol 11 (1) ◽  
pp. 60-83
Author(s):  
Lucia Gibilaro ◽  
Gianluca Mattarocci

Using a transaction price database, in this paper we evaluate the economic effect of abandoned and derelict real estate areas on housing prices in Milan Italy from 1993 to 2016. We find that brownfields are widespread throughout Milan, with larger abandoned and derelict areas prevalent in the suburbs. Standard hedonic price models show that nearby brownfield areas lower housing prices, with stronger effects for larger derelict and abandoned areas. Economic losses are more relevant to houses in the historical city center and are affected by real estate market trends.


2015 ◽  
Vol 23 (2) ◽  
pp. 68-76
Author(s):  
Rafał Dąbrowski ◽  
Dorota Latos

Abstract In the process of real estate evaluation, there are many important elements that should be taken into consideration: for example the type of property which is under evaluation, real estate market analysis, and the selection of appropriate evaluation approaches, methods and techniques. In each of the approaches, different parameters are important. Most importantly, however, is the appropriate selection and identification of real estate characteristics, both physical and economic, as well as the determination of the importance of these qualities so that, when necessary, it will be possible to make the appraisal and select those characteristics which have the greatest impact on value of property. To acquire information about real estate, one can analyze data from multiple sources of information, such as: the land and mortgage register, land and buildings register, local town and country planning, industry data and other. Integrating data from all these sources allows comprehensive and up-to-date knowledge on the assessed property to be developed. One of best sources of data describing the characteristics of real estate is remote sensing. This method offers a high spectrum of information and, therefore, allows a wide range of analyses. As a result, one can obtain highly accurate facts about the property. Remote sensing data, however, are not a panacea for all problems and have some limitations that determine their applicability. This paper describes the possibilities of specifying some characteristics of the property under appraisal based on remote sensing data. For this purpose, the qualitative - quantitative analysis of the four most "common" types of remote sensing data were made, along with determining selected characteristics of 30 properties located in the Warsaw - Bemowo suburb area. The results of this research made it possible to answer the question of whether it is practicable and, if so, to what extent, to use remotely sensed data as the basis for determining the characteristics of a property as well as connecting the types of data to individual properties. The paper focuses on defining the characteristics of two kinds of real estate: land and buildings.


2020 ◽  
Author(s):  
Ekaterina SAVEL'EVA

The textbook examines the legal and financial aspects of the economy and real estate management, market analysis, real estate, investing (including project financing) and mortgage lending; the essence of development; principles and approaches to effective management of modern real estate, and also questions of technical exploitation and safety of buildings; current issues of taxation of real estate; methods of valuation of real estate. Meets the requirements of Federal state educational standards of higher education of the last generation. Designed for undergraduate students enrolled in fields of study 38.03.01 "Economics" (profile "Economics and management of real estate and investments", "Economy and property management") and 38.03.02 "Management" (specialization "Management of real estate"), as well as for students of other specialties, post-graduate students, teachers, beginners appraisers, analysts, specialists in consulting and a wide range of readers interested in the status and development prospects of the real estate market.


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