Journal articles: 'DEMAND FOR REAL ESTATE'

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Cherif, Emna. "On-Demand Online Real Estate Information System." International Journal of Strategic Information Technology and Applications 4, no. 3 (July 2013): 42–67. http://dx.doi.org/10.4018/ijsita.2013070102.

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Internet is helping change the structure of the residential real estate industry by offering new services in the system aiming to enhance the facilities provided to the user. This would enhance the demand chain management. The first purpose of this paper is to illustrate these changes by specifying the functional components of the demand chain management system for online real estate. The author uses a formal specification language to model the interaction between the online real estate management system, the new entities and the other actors. The proposed online real estate management system includes advanced modules that can be bundled together, creating differentiation and enhancing the value chain. The second objective is to propose a simplified implementation architecture for an integrated demand and supply chain management system for online real estate services. The author chose an open source Customer Relationship Management system as a platform to manage some of the online real estate modules. Other value-added modules are integrated from third-party providers using their open interfaces.

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Wilkinson, Sara Jane, and Sarah Sayce. "Decarbonising real estate." Journal of European Real Estate Research 13, no. 3 (April 6, 2020): 387–408. http://dx.doi.org/10.1108/jerer-11-2019-0045.

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Purpose About 27 per cent of the total UK carbon emissions are attributed to residential buildings; therefore, improvements to the energy efficiency of the stock offers great potential. There are three main ways to achieve this. First is a mandatory approach, minimum energy efficiency standards are set and applied to new and existing buildings. Option 2 is voluntary, using energy ratings that classify performance to stimulate awareness and action. Third, financial measures, incentives and taxes, are applied to “nudge” behaviours. Most westernised countries have adopted a combination of Options 2 and 3, with the belief that the market will incentivize efficient properties. The belief is voluntary measures will stimulate demand, leading to value premiums. This paper aims to seek a deeper understanding of the relationship between energy efficiency and the value of residential property in Europe and, by so doing, to determine whether stronger policies are required to realise decarbonisation. Design/methodology/approach This paper reviews the current academic literature and large-scale quantitative studies conducted in Europe, mostly using hedonic pricing analysis to seek a relationship between energy performance certificates (EPCs) and either capital or rental values. It compares these to the reported findings of three case study projects that take a variety of different research approaches, all of which have the ambition to understand market behaviours and stimulate occupier or/and owner demand for energy efficient buildings. Findings The large-scale academic study results generally show a positive relationship between observed market prices and EPCs, which are commonly taken as surrogates for efficiency; however, outcomes are variable. One large study found energy upgrades may increase value, but not to the point where costs outweigh the value gain. Other studies found high returns on investment in energy efficiency technologies. The case study projects, however, revealed a more nuanced set of arguments in terms of the relationship between energy efficiency and market behaviours. Whilst there is some evidence that energy efficiency is beginning to impact on value, it is small compared to other value drivers; other drivers, including health, well-being and private sector finance deals, may prove more powerful market drivers. Further, the empirical findings reported point towards the emergence of a “brown” discount being more likely to be the long-term trend than a green premium. It is concluded that the current levels of action are unlikely to deliver the levels of decarbonisation urgently needed. Research limitations/implications This is a desktop study of other European studies that may have collected data on slightly different variables. Practical implications This study shows that more action is required to realise decarbonisation in new and existing residential property in the European states considered. The sector offers potential for substantial reductions, and other mandatory approaches need to be considered. Originality/value This is a timely review of the current outcomes of European programmes (EPCs) adopted in several countries to increase energy efficiency in the residential sector through a voluntary mechanism. The results show that more action is needed.

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Dong, Fan, and Meng Qi Wang. "Research on the Impact of the Development of E-Commerce in China on the Supply and Demand for Commercial Real Estate on the Basis of Grey System Theory." Applied Mechanics and Materials 631-632 (September 2014): 1167–70. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.1167.

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At present, most of the researches on impact of e-commerce in china on the supply and demand for commercial real estate are qualitative researches, thus this paper aims to verify the impact of the development of Chinese e-commerce on the supply and demand for commercial real estate through grey relational analysis. In addition, this paper conducted predictive analysis on the supply and demand for commercial real estate in the certain future period by the prediction model GM (1,1), to much more accurately understand the supply and demand for commercial real estate market, produce reasonable expectation about the future demand for commercial real estate market, ensure a balanced development in supply and demand for commercial real estate, as well as achieve healthy and stable operation of the real estate industry and the urban economy.

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Meng, Zhou Ji, Tao Zhou, and Shu Hua Gao. "Research on Supply and Demand of Xi'an Real Estate Market." Advanced Materials Research 368-373 (October 2011): 3078–82. http://dx.doi.org/10.4028/www.scientific.net/amr.368-373.3078.

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In the passage, the indicators of supply and demand of real estate market in Xi'an are established, and such indicators are synthesized into a class of synthetic indicators using “principal component analysis”. After the spectral analysis of synthetic indicators, periodic change of supply and demand of real estate through spectral density could be determined. Through the analysis, great randomness existed in supply and demand of real estate in Xi’an. Furthermore, in the medium term, a 3.3 years’ secondary cycle still existed in synthetic indicators of demand, while randomness existed in synthetic indicators of supply. Such findings suggest a declined trend existed in real estate price in medium term of Xi’an.

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Cheng, Yuan, John K. Dagsvik, and Xuehui Han. "Real Estate Market Policy and Household Demand for Housing." Pacific Economic Review 19, no. 2 (April 27, 2014): 237–53. http://dx.doi.org/10.1111/1468-0106.12062.

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Chau, K., and Gaolu Zou. "Energy Prices, Real Estate Sales and Industrial Output in China." Energies 11, no. 7 (July 14, 2018): 1847. http://dx.doi.org/10.3390/en11071847.

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A majority of energy is consumed to control the indoor environment for human activities and industrial production. The demand for energies for these two uses are reflected in demand for different types of real estate and the volume of industrial outputs. The purpose of this study is to examine the long-run equilibrium and short-run dynamics between real energy prices and demand for different types of real estate and industrial output in China. Energy prices are measured in the real price of fuels and power. Demand for different types of real estate is measured in their sales volume in the first hand market, that is, floor areas of new real estate sold by developers. Industrial output is measured by the net output (value added) of the industrial sector. All data series were tested for stationarity (i.e., the existence of a unit root) before testing for a co-integration relationship. We found no long-term equilibrium relationship between energy prices and the demand for real estate and industrial output as predicted by theory, probably due to increased supply of energy efficient buildings. There is also no short-run relationship between energy prices and demand for housing due to the increase in vacancy rate resulting from speculative demand for housing. However, demand for commercial properties appeared to lead energy prices. Finally, there is strong evidence suggesting that an increase in energy prices will significantly reduce industrial output but not vice versa.

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Katkova, Yana I. "Analysis of demand for commercial real estate of the Moscow Region." Economics of Contemporary Russia, no. 2 (August 3, 2020): 95–101. http://dx.doi.org/10.33293/1609-1442-2020-2(89)-95-101.

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The commercial real estate market is a specific and rapidly changing subject for research. Commercial real estate market is connected with the real sector of the economy through consumer demand, and it is connected with the financial market through alternative investment returns. Therefore, this market is actively studied by the Russian and foreign researchers. The most poorly studied issue in this market is its demand side. But the analysis of demand is difficult due to the fact that the buying cycle in the market is very long, and potential buyers are not registered anywhere until the transaction is completed. But the execution of the transaction is not a reflection of demand, as it is the result of negotiations between the seller and the buyer, which may not succeed, as the potential buyer can choose an alternative way of owning property (rent, sublease, co-working) or generating income (bonds, stocks, shares). In this paper, we analyze the demand for commercial real estate in the Moscow region, compare supply and demand in this market, and present a study of the demand for retail, office and industrial-warehouse real estate. We propose a model for pricing commercial real estate. We found a significant discrepancy between supply and demand in the market according in line with their structure, inequality of demand for retail, office and industrial-warehouse premises, the dependence of the price per square meter of real estate to its area (in square footage) and location. The results obtained are consistent with Russian and foreign studies on the analysis of the commercial real estate market. The results of the study may be useful to such players in the commercial real estate market as developers, investors, buyers.

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Chernyshova, Maria, Arina Malenkaya, and Tatyana Mezhuyeva. "ANALYSIS OF PRICING FACTORS IN REAL ESTATE MARKET." Interexpo GEO-Siberia 6, no. 2 (2019): 79–85. http://dx.doi.org/10.33764/2618-981x-2019-6-2-79-85.

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In the real estate market price depends on supply and demand is formed under the influence of social, economic and physical factors. The article presents the results of the analysis of pricing factors in the real estate market, the forecast of real estate prices in 2019.

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Vatin, Nikolay, Olga Gamayunova, and Darya Nemova. "Analysis of the Real Estate Market of St. Petersburg." Applied Mechanics and Materials 638-640 (September 2014): 2460–64. http://dx.doi.org/10.4028/www.scientific.net/amm.638-640.2460.

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Currently, more than half of the residents of St. Petersburg are not satisfied with their housing conditions. Plus a constant influx of migrants, which gives additional burden to domestic demand. The article analyzes the secondary housing market and the market of apartments in buildings under construction, the dynamics of the activity of demand for apartments. There are the comparison of the prices of residential real estate, depending on the type of apartment, house type, the district where the housing is located. Shown prospects for real estate investing. Highlighted the importance of energy saving technologies and good condition of communications when choosing real estate.

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Vimpari, Jussi. "Financing Energy Transition with Real Estate Wealth." Energies 13, no. 17 (August 19, 2020): 4289. http://dx.doi.org/10.3390/en13174289.

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Transition to a low carbon energy system requires extensive private investment and novel financing instruments. Corporate power purchase agreements (PPAs) have been proven effective in increasing renewables financing. The challenge is to scale this corporate model to smaller energy consumers that form a significant part of the global total energy demand and carbon dioxide emissions. This paper examines collateral strength and global potential of the real estate sector as an offtaker for PPAs. The strength is evaluated by constructing a detailed energy and economic model for 90,000 buildings in the Helsinki Metropolitan Area (HMA), Finland. The global potential is evaluated by creating country-level profiles with global data of interest rates, energy consumption, and energy costs. The results suggest that real estate is a strong offtaker as the HMA’s value of real estate collateral compared to required wind power capital expenditures (that could cover electricity demand of the buildings) is approximately 100:1, and for cash flows, the ratio is 70:1 between gross rents and PPA costs. Analysis of global data suggests that the majority of buildings’ energy consumption in OECD countries as well as a large part of China’s energy consumption could fall into low access finance under the presented concept.

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Guo, Xiao Juan, and Qing Bai. "Customer Satisfaction Assessment of Endowment Real Estate in our Country." Applied Mechanics and Materials 438-439 (October 2013): 1836–39. http://dx.doi.org/10.4028/www.scientific.net/amm.438-439.1836.

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The deepening of the aging degree, the large demand make endowment real estate market contains huge potential for development. Existing endowment real estate projects have its positives in many aspects, but there are also some deficiencies. In this paper, the population aging situation in our country and the development status of endowment real estate are analyzed, and combining with the demand characteristics of elderly customers, elderly property customer satisfaction evaluation index system is established, using this system to compare and analyze the current three typical endowment real estate project, and propose the corresponding improvement suggestions in order to provide reference for the development of endowment real estate in future.

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Jud, G. Donald, and James Frew. "Real Estate Brokers, Housing Prices, and the Demand for Housing." Urban Studies 23, no. 1 (February 1986): 21–31. http://dx.doi.org/10.1080/00420988620080031.

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Lane, Mark A., Michael J. Seiler, and Vicky L. Seiler. "The Impact of Staging Conditions on Residential Real Estate Demand." Journal of Housing Research 24, no. 1 (January 1, 2015): 21–36. http://dx.doi.org/10.1080/10835547.2015.12092095.

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O’Mara, Martha A. "Strategies for demand forecasting in corporate real estate portfolio management." Journal of Corporate Real Estate 2, no. 2 (April 2000): 123–37. http://dx.doi.org/10.1108/14630010010811248.

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Xu, Rui-hui, and Rose Neng Lai. "Optimism-driven Decisions of Real Estate Developers under Demand Uncertainty." Journal of Real Estate Research 40, no. 2 (April 1, 2018): 267–308. http://dx.doi.org/10.1080/10835547.2018.12091500.

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Shao, Bi Lin, Ting Meng, and Wen Juan Liu. "Research on Prediction of Urumqi City Real Estate Supply and Demand Based on Gray System." Advanced Materials Research 1065-1069 (December 2014): 2530–33. http://dx.doi.org/10.4028/www.scientific.net/amr.1065-1069.2530.

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This paper takes gray prediction forecasting model as a tool to forecast the real estate market in Urumqi from development and investment, construction housing area and sale of housing area. The difference between the actual value and the predicted prediction value is small, with high accuracy. Predictive value can be reflected in the coming period of the real estate market situation in Urumqi. From the predicted results, we could know that there is a lot potential in Urumqi real estate market in next few years and investment in real estate the construction housing area, housing area of real estate sale will get a larger annual growth. In general, there will be increasing potential in the development of the real estate market in Urumqi. Meanwhile, Urumqi real estate market will tend to rationally develop under the regulation of government in the next few years.

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Feng, Yu, and Jian Yin. "An Innovative Research on Customer Value in Green Real Estate Enterprise." Applied Mechanics and Materials 543-547 (March 2014): 4388–91. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.4388.

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With the rapid development of China's real estate industry, customers demand for real estate products has changed from the satisfaction of one single criteria to a much more diverse and individualized developmental orientation. But the value evaluation for real estate products varies from person to person, which leads to different customer value. In our country, as one branch market of the real estate industry, the green real estate market should get a thoroughly understanding about the composition of customer value, identify the target customer demand, provide more innovative value for customers, inspire and guide the customer purchasing behavior. This paper, through an analysis of the composition and affected factors of the customer value in green real estate enterprise, aims to conclude the methods for the optimization and innovation of the customer value in green real estate enterprise.

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Manganelli, Benedetto, Pierluigi Morano, Paolo Rosato, and Pierfrancesco De Paola. "The Effect of Taxation on Investment Demand in the Real Estate Market: The Italian Experience." Buildings 10, no. 7 (June 27, 2020): 115. http://dx.doi.org/10.3390/buildings10070115.

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This study investigates the effect that property taxation has on investment in the real estate market. There is a close relationship between investments in the real estate market and taxes, local communities, public policies and economic development. The analysis was developed with reference to the Italian real estate market and its tax regime. In Italy, taxation on real estate affects possession, transfers and income. These three tax rates vary according to the subjects who exchange assets and manage them, to the intended use of the real estate property and to the options for choosing the type of tax regime permitted by law. On the basis of these parameters, a financial analysis of real estate investment is constructed and simulated in order to understand to which types of taxation investment is most sensitive. The results showed that a change in income taxation can have an important effect on the investment choice. This evidence may also suggest fiscal policy actions aimed at stimulating the real estate market.

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Mustać, Josipa. "Cjenovni balon na tržištu nekretnina u Republici Hrvatskoj." Oeconomica Jadertina 9, no. 1 (June 5, 2019): 78–88. http://dx.doi.org/10.15291/oec.2839.

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The market balloons are fast-growing price phenomena, followed by their dramatic drop. In some parts of Croatia - the coastline and in the city of Zagreb, real estate prices have been growing drastically, considering the period from the year 2000. The global economic crisis occurred in the United States came 2008 due to the inflation of real estate prices, which also transferred to the Croatian economy due to the flooding effect from one market to another. This paper examines whether the same case is happening in Croatia today, namely whether the real estate price increase in Croatia was justified or they are balloons that will suddenly break. Real estate prices in Croatia are growing due to several factors, such as increased real estate demand for tourist rental, housing loans subsidies for young people and increased real estate demand by foreigners. If there is a significant drop in tourist activity in Croatia, real estate prices could fall dramatically.

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Оберемок, Марина, Marina Oberemok, Андрей Наумов, Andrey Naumov, Марина Щенятская, and Marina Schenyatskaya. "QUALITATIVE ANALYSIS OF VIEW CHARACTERISTICS OF RESIDENTIAL PROPERTY." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 4, no. 3 (April 10, 2019): 44–51. http://dx.doi.org/10.34031/article_5ca1f631244a52.27503491.

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Some kinds of residential real estate are characterized by a special view from the windows. Apartments with unique characteristics are in high demand among the population, therefore the cost of these objects exceeds the average market price. As a rule, developers try to make the best use of the visual prospects of residential real estate. The paper provides a qualimetric analysis of estimation the view characteristics of apartments in Belgorod based on the demand factors. There is the classification of view components of residential real estate on the basis of urban planning, aesthetic, emotional and other functions. Conclusions on the cost of the view are formed taking into account the criteria of its attractiveness. Functional dependence is obtaine. It allows to determine the surcharge to the cost of residential real estate based on differences in the view. The practical aim of determining the specifics of apartments pricing with a view is the ability to manage demand and to improve the efficiency of residential real estate development.

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Lekander, Jon R. G. M. "Real estate portfolio construction for a multi-asset portfolio." Journal of Property Investment & Finance 33, no. 6 (September 7, 2015): 548–73. http://dx.doi.org/10.1108/jpif-02-2015-0013.

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Purpose – The purpose of this paper is to explore how tenant end demand dependence and investment market segmentation, as estimated through sector type, impacts real estate portfolio strategy in the context of the multi-asset portfolio. Design/methodology/approach – The analysis is performed for six investor domeciles, for domestic and international investments over several cycles. The analysis is performed in a mean variance framework. Findings – The findings are consistent with the hypothesis that an investor benefits from investing in real estate assets where end demand is dependent on local factors rather than global factors. Practical implications – The efficiency of the overall multi-asset portfolio benefits from a deeper understanding of how the real estate portfolio is constructed. Locally dependent real estate, i.e. real estate that is dependent on local economic factors, tends to better support the overall portfolio than do real estate that is dependent upon global factors. Originality/value – The paper contributes to the broader knowledge through extending earlier studies using similar methodology by extending the data series to cover the impact of the latest global financial crises, as well through extending the knowledge how the real estate portfolio should be constructed to better support the overall objectives of the multi-asset portfolio.

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Liu, Ya Chen, Wan Bo Liu, and Meng Xiao Sun. "Analysis of Risk of Commercial Real Estate Based on Multiple Attribute Group Decision-Making." Advanced Materials Research 368-373 (October 2011): 1920–25. http://dx.doi.org/10.4028/www.scientific.net/amr.368-373.1920.

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Abstract: Commercial real estate is the real estate primarily used for commercial. This paper proposes using the multi-attribute group decision method to identifying the risks of commercial real estate. By calculating the weight of each risk attributes to reflect the degree of influence of different decision makers and risks on the results,and to deduce the degree of similarity and diversity of each decision makers. It introduces the concept of entropy to calculate the weight of each risk attributes, infer the integrated decision-making value of very risk factors, and arrange every risk in order. Finally, it identifies the feasibility. Introduction Commercial real estates are real estates for commercial purposes classified according to use. They include retail shops, supermarkets, community business, commercial plazas, shopping malls and so on. Compared with residential real estate, commercial real estate has larger profits. However, high profits always accompanied with high risk. Developers can obtain the value of compensation and benefits after sold residential real estate, while the payback periods of commercial real estates are longer, even extended to the entire project duration, and are affected by various factors. The risks of commercial real estate including policy risk, funding risk, operational risk, urban planning risk, technology risk, natural risk, market supply and demand risk, capital risk and so on. Previous studies based mainly on qualitative research[1-3], but quantitative analysis of risk identification is less. Based on this, this paper proposes a method of multiple attribute group decision.

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Čirjevskis, Andrejs. "Value Maximizing Decisions in the Real Estate Market: Real Options Valuation Approach." Journal of Risk and Financial Management 14, no. 6 (June 19, 2021): 278. http://dx.doi.org/10.3390/jrfm14060278.

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The real estate market of EU countries has undergone a severe global financial crisis 2008–2009, recovered successfully later, and now experiencing significant uncertainty due to the COVID-19 pandemic event. Significant volatility of the real estate business is once again evident, just as it was following the global financial crisis. The paper aims to provide a case study of a real estate project by giving insight into the Latvian real estate project that had been experiencing similar economic uncertainty, to demonstrate hybrid real options valuation (ROV) method to adapt real estate investments to changing circumstances and to develop the decision-making solution to similar EU real estate problems during the pandemic. The paper provides the “step-by-step” ROV application’s methodology in real estate development projects. The presented methodology is a powerful managerial risk management tool for the executives of similar real estate development projects in the EU countries struggling to make investment decisions in the pandemic and post-pandemic period. Since any estimation includes assumptions, ROV results should be interpreted and perceived as approximations only. The future works can provide robust ROV analyses and interpretations regarding the demand for real estate, showing quantitatively how competition can impact strategic investment decisions.

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Shumilina, Vera, Ravida Reutova, and Elizaveta Rudenko. "STATISTICAL STUDY OF SUPPLY AND DEMAND FOR REAL ESTATE IN ROSTOV-ON-DON IN THE PERIOD 2010-2020." Science & World 2021, no. 1 (July 22, 2021): 21–25. http://dx.doi.org/10.26526/2307-9401-2021-1-21-25.

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The article reflects the characteristics of the concepts of «real estate market» and «real estate market analysis». The main stages of analysis of the state of the residential real estate market are considered. The analysis of real estate market indicators in Rostov-on-don is carried out and the corresponding conclusions are made.

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Alekseeva, N. S., and A. E. Druzhinin. "Assessing the Demand for Online Integration Platforms in the Real Estate Business." Economics and Management 26, no. 1 (February 28, 2020): 46–54. http://dx.doi.org/10.35854/1998-1627-2020-1-46-54.

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Examination of the real estate market shows that implementing innovations in this field is a very difficult task. This prompts the question of the necessity of digitalizing the real estate business and of the demand for online integration platforms in this field.Aim. The presented study aims to assess the demand for online integration platforms in the real estate business.Tasks. The authors compare the online integration platforms in the real estate market with the online integration platforms in the hospitality sector and the individual passenger transport market in terms of the share of user profits that integrators receive for their services on the online platform; compare the share of user profits that integrators receive for their services on the online platform with the equivalent indicator in various other global economic activities; assess the value of the services provided by an online integration platform using the methodology proposed by G. G. Azgaldov and N. N. Karpova.Methods. The data were acquired from public Internet sources and personal interviews with the directors of companies that represent or employ the services of online integration platforms in St. Petersburg. The interviews and work with Internet sources were conducted in November 2019.Results. An integrator in the real estate market receives a share of profits of their service users that is comparable to that of the integrators in the hospitality sector and the individual passenger transport market. The share of profits of a Russian integrator in the real estate market is significantly higher than that in such industries as entertainment, fashion, or sports. The value of an online integration platform can be defined as highly valuable, since the expected value of this indicator is 1.5 times higher than the maximum table value.Conclusions. The performed analysis shows a high demand for online integration platforms in the real estate business. Market participants are willing to pay for the ability to use new digital technologies.

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Kivedal, Bjørnar Karlsen, and Trond Arne Borgersen. "Commercial Real Estate at the ZLB." Nordic Journal of Surveying and Real Estate Research 13, no. 1 (June 13, 2018): 32–53. http://dx.doi.org/10.30672/njsr.68989.

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This paper analyses the implications of a low interest rate environment (the zero lower bound – ZLB) for the demand of commercial real estate. The main intention of the paper is to track any asymmetry between evaluation models at ZLB relative to more “normal” interest rate levels. First we apply a conventional net-present value (NPV) approach, where the weighted average cost of capital (WACC) and the capital asset pricing model (CAPM) are used for evaluation. Considering the invariance level of systemic risk we find WACC to be an alternative to CAPM for offensive and defensive investments when interest rates are “normal”. However, at the ZLB, WACC is an alternative for investments that carry the same risk as the market and beta-values are close to one. Second, we simulate our models using US data to see how the WACC shortcut performs across different interest rate levels, and especially at ZLB, in this economy. We see differences between the period preceding the financial crisis and the period after 2010, even though the Federal Funds rate is close to zero in both periods. We relate this to the difference in systemic risk between the two periods, and show how the result in the latter period is quite equal across evaluation models.

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Magiera, Frank T. "How Long Can Real Estate Investments Defy Weak Supply/Demand Conditions?" CFA Digest 34, no. 1 (February 2004): 86. http://dx.doi.org/10.2469/dig.v34.n1.1442.

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Lentz, George H., and K. S. Maurice Tse. "Supply Adjustments to Demand Shocks in the Commercial Real Estate Market." Real Estate Economics 27, no. 2 (June 1999): 231–62. http://dx.doi.org/10.1111/1540-6229.00773.

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Ambrose, Brent W., Moussa Diop, and Jiro Yoshida. "Product Market Competition and Corporate Real Estate Investment under Demand Uncertainty." Real Estate Economics 45, no. 3 (January 28, 2016): 521–90. http://dx.doi.org/10.1111/1540-6229.12150.

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Reshidi, Dr Sc Nail, MSc Reimonda Hoxha, and MSc Rasim Zuferi. "Marketing Strategies in the Real-Estate Industry in Prishtina." ILIRIA International Review 5, no. 1 (June 30, 2015): 29. http://dx.doi.org/10.21113/iir.v5i1.7.

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Real Estate is the industry that has always influenced the economic development of a country due to very costly investment and employment to thousands of people. This industry has been vastly developing in recent years in Prishtina, resulting in huge demand for real estate, which led to the establishment of many construction companies ready to meet this demand.The paper draws on data collection and information with the purpose of exploring and analyzing marketing strategies of construction companies in Prishtina’s market. This paper examines the role of internal and external factors that influence the development of the Real Estate industry and analyses the trends for the future. The objects as picked for the study are construction companies currently operating in this market, which was done so as to analyse their ways of doing business and their strategies and plans for achieving their objectives. Also, this research includes the level of demand versus supply for these companies and the success of meeting these requirements.

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Rudi, L. Yu, and T. A. Tropnikova. "Formation of Demand in the Residential Real Estate Market of Canada: Modern Trends." Vestnik NSUEM, no. 4 (December 29, 2019): 320–31. http://dx.doi.org/10.34020/2073-6495-2019-4-320-331.

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The situation in the residential real estate market in Canada, namely, the formation of demand for housing in the face of rising prices is analyzed in this article. The key factors of demand formation are identified, such as prices, incomes and assets of households, the ratio of incomes of groups of people with different levels of education, household preferences by type of housing, immigration flows. Based on a theoretical analysis and analysis of statistical data over a long period of time, current trends in the formation of demand in the Canadian residential real estate market are identified. A conclusion on an objective basis for price increases in the residential real estate market is substantiated.

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Maennig, Wolfgang, and Matthias Ottmann. "Perspektiven des deutschen Immobilienmarktes und wirtschaftspolitische Herausforderungen." Perspektiven der Wirtschaftspolitik 12, no. 2 (May 2011): 192–214. http://dx.doi.org/10.1111/j.1468-2516.2011.00363.x.

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AbstractThe current population forecasts bode ill for “the” real estate market in Germany: The regionally differing decreases in population will affect both the office and residential real estate market, however, not to the same extent. A reduction of property values with impacts on the economic activity and growth may follow. Due to potentially more restrictive technical requirements in order to slow down climate change investment losses in the real estate business could even be increased if no stronger international demand for property on the German real estate market can be generated through a higher level of transparency. An improved family policy, more incentives for internationals to migrate to Germany (which is where universities could play a significant role) as well as programs for the maintenance of existing facilities and their energy-efficient upgrading could be essential elements within a strategy for real estates.

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Glaeser, Edward, Wei Huang, Yueran Ma, and Andrei Shleifer. "A Real Estate Boom with Chinese Characteristics." Journal of Economic Perspectives 31, no. 1 (February 1, 2017): 93–116. http://dx.doi.org/10.1257/jep.31.1.93.

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Chinese housing prices rose by over 10 percent per year in real terms between 2003 and 2014 and are now between two and ten times higher than the construction cost of apartments. At the same time, Chinese developers built 100 billion square feet of residential real estate. This boom has been accompanied by a large increase in the number of vacant homes, held by both developers and households. This boom may turn out to be a housing bubble followed by a crash, yet that future is far from certain. The demand for real estate in China is so strong that current prices might be sustainable, especially given the sparse alternative investments for Chinese households, so long as the level of new supply is radically curtailed. Whether that happens depends on the policies of the Chinese government, which must weigh the benefits of price stability against the costs of restricting urban growth.

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Li, Tie Qun. "An Empirical Research on the Relationship between Real Estate Prices and Inflation." Applied Mechanics and Materials 55-57 (May 2011): 1992–96. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.1992.

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The former researches referring to inflation and real estate prices concentrated mainly on the stock prices rather than the real estate prices. Owing to the enlarging ratio of real estate industry in national economy with each passing day, as well as the overheating real estate prices in recent years, the relationship between real estate prices and inflation is particularly vital to the monetary policy making for the monetary authorities. According to the test analysis of data from 2001 to 2009, it is found that real estate prices is Granger Cause of inflation while inflation is not the Granger Cause of real estate prices in this paper. Through the Effects of Wealth, Credit and Tobin, real estate prices drive the growth of social consumption and investments and expand the total social demand which possess an positive effect on inflation; nevertheless the rising of real estate prices causes the rising of currency for real estate purchasing, which, under the circumstance of that currency supply remains, will inevitably bring about the reduction of currency for other consumption and investments and restrain the total social demand which would mean a suppression of continuous rising of prices of other commodity and labor service. All these show that real estate also has a negative effect on inflation. The cancellations between the two effects make the long-term influence real estate bearing on inflation is not obvious. The experimental results indicate that when the price of real estate rises 1%, inflation only rises 0.058%. Consequently, a strict controlling of the amount of money issued is the key factor for keeping the over rapid rising of real estate prices from leading to inflation.

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Źróbek-Różańska, Alina. "Compensation in Residential Real Estate Purchasers’ Decisions." Real Estate Management and Valuation 24, no. 4 (December 1, 2016): 70–78. http://dx.doi.org/10.1515/remav-2016-0031.

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Abstract Predicting demand on the residential real estate market and the behavior of the purchasers requires a wide knowledge of both the economic mechanisms and psychology of decision-making. Decisions on the real estate market are often made by people without professional skills, and using simplified strategies. However, the decision-making process, on top of its heuristic nature, is dynamic and changing. As a result, a discrepancy in the preferred characteristics of planned and actually bought real estate can be observed. Such a discrepancy can be explained with the occurrence of the compensation process. The aim of this article was to recognize and describe the compensation process on the example of the suburban residential real estate market. The aim was achieved by analyzing the preferences of potential buyers in terms of particular characteristics of the location of suburban plots destined for single-family housing (respondents divided into age groups: 25 and 26-40), analyzing the real settlement trend in the suburban zone (the result of actual transactions) and comparing the results, including compensation.

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Raslanas, Saulius. "PECULIARITIES OF PUBLIC REGULATION OF REAL ESTATE AGENT'S ACTIVITIES." Technological and Economic Development of Economy 11, no. 3 (September 30, 2005): 206–11. http://dx.doi.org/10.3846/13928619.2005.9637700.

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Recently a demand for professional real estate agents has increased in the market. The present paper includes a research into the real estate related activity of the USA and Lithuania carried out in accordance with the chosen criteria. According to real estate agency service quality research in the USA the most important factor is agents professionalism. This thesis places a major emphasis on the activity and structure of real estate agents, law on licence issue as well as advantages and disadvantages; it also presents proposals on improvement and development of real estate agents activity. Real estate licencing is necessary in order to raise the level of professionalism and qualification of real estate agents in Lithuania, to adjust relationship between property owners and middlemen, as well as to increase the level of confidence among real estate agents.

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Cohen, Viktorija, and Arūnas Burinskas. "The Evaluation of the Impact of Macroeconomic Indicators on the Performance of Listed Real Estate Companies and Reits." Ekonomika 99, no. 1 (June 11, 2020): 79–92. http://dx.doi.org/10.15388/ekon.2020.1.5.

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Using quarterly data from 2006:Q1 to 2019:Q3 (55 observations), this paper examines 18 Eurozone macroeconomic variables that represent monetary policy, external and construction sectors’ performance, economic growth, investment, households’ earnings, inflation and assesses their impact on the performance of the European listed real estate companies and REITs. Empirical results demonstrate that the European listed real estate market is strongly influenced by the supply side: the construction sector and the inflation of producers’ prices; while the demand side is strongly affected by the expansionary monetary policy of ECB. Furthermore, some primary findings propose that US expansionary monetary policy shocks have an effect on the European listed real estate market. This conclusion demands further thorough research.

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Hin/David Ho, Kim, and Kwame Addae-Dapaah. "Real estate market cyclical dynamics." International Journal of Managerial Finance 10, no. 2 (April 1, 2014): 241–62. http://dx.doi.org/10.1108/ijmf-10-2013-0108.

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Purpose – The purpose of this paper is to help us understand the real estate cycle and offers an analysis using a vector auto regression (VAR) model. The authors study the key international cities of Hong Kong, Kuala Lumpur and Singapore. The authors find four key outcomes. One, the real estate cycle is generally different from the underlying business cycle in local markets for the cities studies. Two, the real estate cycle is more exaggerated in the construction and development areas than in rents and vacancies. Three, the vacancy cycle tends to lead the rental cycle. And four, new construction completions tend to peak when vacancy is also peaking. The authors believe that future research should try to help understand the linkages that drive these outcomes. For example, are rigidities in the local permit and construction markets responsible for the link between construction peaks and vacancy peaks? Design/methodology/approach – Real estate market cyclical dynamics and its estimation via VAR model offers an insightful set of practical and empirical models. It affirms a comprehensive theoretical underpinning for analysing the prime office and residential sectors of the capitol cities of Kuala Lumpur, Singapore and Hong Kong in the fast developing Asia region. Its unrestricted form also provides an effective and insightful way of modelling real estate market cyclical dynamics utilising only real estate market indicators, furnished by real estate market data providers. Findings – The office rental VAR model for Singapore (SOR), KL (KOR) and HK (HOR) show good fits. In the HOR model, rents and vacancies are negatively signed and significant for certain lagged relationships with other variables and with rents themselves. The office CV VAR model for Singapore (SOCV), KL (KOCV) and HK (HOCV) show good fits. In the HOCV model, capital values (CVs) and initial yields are negatively signed and significant for certain lagged relationships with other variables and with CVs themselves. Impulse response functions specified for seven years to mirror a medium-term real estate market cycle “die out” to zero for the stationary VAR models that are estimated for the endogenous variables. The accumulated responses asymptote to some non-zero constant. Practical implications – The VAR model offers a complete and meaningful dynamic system of solely real estate variables for international real estate investors and policy makers in decision making. Its unrestricted form offers an effective and insightful way of modelling real estate market cyclical dynamics utilising only real estate market indicators, which can be reliably provided by a dedicated real estate information and consultancy provider of international standing. Originality/value – The theoretical model offers a complete dynamic model system of the real estate space market, comprising a unique system of six linked equations that denote the relationship among supply, demand, construction, vacancy and rent over time, inclusive of price response slopes and lags. The VAR model enables the investigation of the effect of the lagged values of all the variables concerned. It also enables the explicit and rigorous quantitative forecasts of say rents and CVs when the rest of the variable can be forecasted beforehand.

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Lin, Wen-Yuan, Ming-Hung Wu, and Ming-Chi Chen. "Asymmetry herding behavior of real estate investment trusts: evidence from information demand." Journal of Risk 21, no. 2 (2018): 99–137. http://dx.doi.org/10.21314/jor.2018.398.

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Wheaton, William C., and Raymond G. Torto. "An Investment Model of the Demand and Supply For Industrial Real Estate." Real Estate Economics 18, no. 4 (December 1990): 530–47. http://dx.doi.org/10.1111/1540-6229.00536.

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Hakfoort, Jacco, Peter Berkhout, and Walter Manshanden. "The Demand for Professional Education: Evidence from the Dutch Real Estate Industry." Journal of Real Estate Practice and Education 6, no. 1 (January 1, 2003): 5–21. http://dx.doi.org/10.1080/10835547.2003.12091587.

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Fereidouni, Hassan Gholipour, Usama Al-mulali, and Miswan Abdul Hakim Mohammed. "Wealth effect from real estate and outbound travel demand: the Malaysian case." Current Issues in Tourism 20, no. 1 (February 6, 2014): 68–79. http://dx.doi.org/10.1080/13683500.2014.882886.

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Zhang, Danlei, Pengyu Zhu, and Yanmei Ye. "The effects of E-commerce on the demand for commercial real estate." Cities 51 (January 2016): 106–20. http://dx.doi.org/10.1016/j.cities.2015.11.012.

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Dong, Jichang, Xiuting Li, Wencong Li, and Zhi Dong. "Segmentation of Chinese Urban Real Estate Market: A Demand-Supply Distribution Perspective." Annals of Data Science 2, no. 4 (December 2015): 453–69. http://dx.doi.org/10.1007/s40745-015-0057-5.

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MU, LINGLING, PING LIU, YANYAN LI, and JINZHU ZHANG. "COMPLEXITY OF A REAL ESTATE GAME MODEL WITH A NONLINEAR DEMAND FUNCTION." International Journal of Bifurcation and Chaos 21, no. 11 (November 2011): 3171–79. http://dx.doi.org/10.1142/s021812741103043x.

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In this paper, a real estate game model with nonlinear demand function is proposed. And an analysis of the game's local stability is carried out. It is shown that the stability of Nash equilibrium point is lost through period-doubling bifurcation as some parameters are varied. With numerical simulations method, the results of bifurcation diagrams, maximal Lyapunov exponents and strange attractors are presented. It is found that the chaotic behavior of the model has been stabilized on the Nash equilibrium point by using of nonlinear feedback control method.

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Abubakar Alkali, Musa, Ibrahim Sipan, and Muhammad Najib Razali. "An Overview of Macro-Economic Determinants of Real Estate Price in Nigeria." International Journal of Engineering & Technology 7, no. 3.30 (August 24, 2018): 484. http://dx.doi.org/10.14419/ijet.v7i3.30.18416.

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Understanding the relationship between real estate price and macroeconomic variables in developed countries is appreciated first by considering the housing role in the macro economy. In modern capitalist economy, real estate sector remains the most important element of aggregate demand. Since residential real estate comprises the bulk of country’s tangible capital, the study on relationship between residential real estate price and macro economic variables are very significant for formulation of social and economic policies. The aim of this study is to examines the relationship between real estate residential price and macroeconomic variables in Nigerian economy. The study identified GDP, inflation rate, exchange rate, interest rate and crude oil price as the major determinants of real estate price in Nigeria and they have significant impact on real estate market in general.

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Nwogugu, Michael. "Some antitrust problems and related economic issues in real estate brokerage, professional licensing for real estate websites and rent-control/rent-stabilization." Corporate Ownership and Control 6, no. 1-3 (2008): 398–417. http://dx.doi.org/10.22495/cocv6i1c3p7.

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In the US, MLS systems, professional licensing regimes for Real Estate Websites and rent-control/rent-stabilization statutes constitute violations of antitrust laws. Recent orders and proposed settlements in lawsuits instigated by government agencies have not resolved the underlying antitrust problems. Many of these antitrust issues influenced psychological reactions among market participants, which in turn caused the rapid price increases in some US real estate markets during 1995-2004. Thus, all existing housing demand models and housing price forecast models are grossly mis-specified primarily because they don’t incorporate legal factors.

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Cui, Cai Yun, Hua Zhao, and Guo Bo Han. "Study on Evaluating the Sustainable Development of Real Estate Based on Extention Theory." Applied Mechanics and Materials 174-177 (May 2012): 3519–22. http://dx.doi.org/10.4028/www.scientific.net/amm.174-177.3519.

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In real estate industry, there exist some contradictions, including less land supply and higher residential demand, high residential vacancy rate and growing residential demand, resource waste owing to short-term investment and limited resources, high prices and low purchasing power. The paradox matter-element extension theory is fit for the contradictive study, and consistent with the sustainable development of the real estate industry in terms of research subject, logic theory, and variability. On basis of these, this Study establishes extension-theory-based evaluation index system for sustainable development of real estate industry, in which the indices are categorized into five groups: economy and finance, social equality, ecological environment, resources utilization, and government management.

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Parvez, Mazed. "Performance Evaluation of Real Estate Sector to Fulfill Urban Housing Demand: A Case Study of Monsurabad Housing Estate Pabna, Bangladesh." International Journal of Information Systems and Informatics 1, no. 1 (October 14, 2020): 34–49. http://dx.doi.org/10.47747/ijisi.v1i1.78.

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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.

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Yang, Yi, and Shan Li. "Simulation and Empirical Analysis on Real Estate Prediction Based on Friction Model." Applied Mechanics and Materials 716-717 (December 2014): 474–78. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.474.

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Based on the housing holding cost model, this paper obtains the causes of real estate price expectations, and analyzes the four factors which affects real estate price expectations from the theory: the supply side, demand side, the local government and some main monetary policy variables. Combined with the actual situation in Chinese real estate market this paper puts forward the corresponding hypothesis. The empirical results show that the main source of housing prices driving force is the demand side, while the impact of local government on prices is not obvious; the effect of supply side and monetary policy on house prices is relatively small. The nominal interest rate has no significant effect on prices, and the real interest rate has more obvious effect. Based on the empirical conclusions, this paper puts forward the corresponding policy suggestion of houses prices expectation management.

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Journal articles on the topic 'DEMAND FOR REAL ESTATE'

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