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1

Akkoyun, H. Cagri, Yavuz Arslan, and Birol Kanik. "Housing prices and transaction volume." Journal of Housing Economics 22, no. 2 (June 2013): 119–34. http://dx.doi.org/10.1016/j.jhe.2013.02.001.

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2

Cook, Steve, and Duncan Watson. "Volume effects in the London housing market." International Journal of Housing Markets and Analysis 11, no. 3 (June 4, 2018): 586–602. http://dx.doi.org/10.1108/ijhma-11-2017-0096.

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Purpose This paper aims to extend existing research in relation to both the importance of volume effects within housing markets and the specific behaviour of the London housing market. A detailed borough-level examination is undertaken of the relationships between volume, house prices and house price volatility. Support for alternative housing market theories, the degree of heterogeneity in house price behaviour across boroughs and the extent to which housing displays differing properties to other financial assets are examined. Design/methodology/approach Correlation analyses, causality testing and volatility modelling are undertaken in extended forms which synthesise and extend approaches within the housing, economics and finance literatures. The various modelling and testing techniques are supplemented via the use of alternative variable transformations to evaluate housing market behaviour in detail. Findings Novel findings are provided concerning both volume effects within housing markets generally and the specific properties of London housing market. Evidence concerning bubbles, the volatility-reducing effects of volume, the importance of geographical and price-related factors underlying the relationship between volume and both house price growth and volatility and the presence of asymmetric adjustment in the London housing market are all provided. The extent and nature of the support available for alternative housing market theories are evaluated. Originality/value The volatility-reducing effects of volume within housing markets, along with volume effects and the presence of asymmetric adjustment within the London housing market are examined for the first time. New empirical evidence on the support for alternative housing market theories and the differing empirical characteristics of housing relative to other financial assets are presented.
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3

임재만. "Do Housing Trading Volume Explain Housing Prices or the Converse?" Korea Spatial Planning Review 69, no. ll (June 2011): 3–18. http://dx.doi.org/10.15793/kspr.2011.69..001.

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4

Setiawan, Ikhsan. "The effect of housing volume of a converting loudspeaker on the output electric power of a loudspeaker-based acoustic energy harvester." Journal of Physics: Theories and Applications 4, no. 2 (September 30, 2020): 59. http://dx.doi.org/10.20961/jphystheor-appl.v4i2.47551.

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Acoustic energy harvester is a device that converts sound or acoustic energy into electrical energy. Generally, the main components of this instrument are an acoustic transducer and an acoustic resonator. In this study, the transducer used was a 4-inch woofer loudspeaker, without acoustic resonator but equipped with a cylindrical housing with a fixed cross-sectional area and a length that can be varied from 6 cm until 25 cm by using a piston. Experimental results for various housing volumes showed a similar pattern of the dependence of the generated electric power on the incoming sound frequencies. In addition, it was found that (within the range of the volume variations) the output electric power increased significantly when the volume of the housing was increased. The highest root-mean-square (rms) electric power obtained was 1.72 mW resulting from sound with a sound pressure level (SPL) of 105 dB and a frequency of 84 Hz and by using a length of the housing cylinder of 25 cm (housing volume of 3243.7 cm<sup>3</sup>)
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5

Yam, Wun Kwan, Kin Long Fong, Juntao Wang, Siew Ann Cheong, and K. Y. Michael Wong. "Intrinsic Quasi-Periodicity in Hong Kong Housing Price and Its Prediction." New Mathematics and Natural Computation 16, no. 03 (November 2020): 645–55. http://dx.doi.org/10.1142/s1793005720500398.

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Housing price time series is worth studying as it is closely related to the well-being of society. In the Hong Kong housing market from 1992 to 2010, signs of quasi-periodicity in housing price and transaction volume can be observed. We find that there is an overall periodicity of approximately 30 months in housing price changes and a strong lead–lag relationship between housing price and transaction volume. Analysis of the cross-covariance of the housing price, transaction volume and prime lending rate reveals that this quasi-periodicity is potentially driven by prime lending rates. Incorporation of quasi-periodicity into the kernel of Gaussian processes further enables us to construct a predictive model of the Hong Kong housing price trends that outperforms other traditional kernel functions.
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6

Tsai, I.-Chun. "INFORMATION CONTENT OF TRANSACTION VOLUME: THE HOUSING MARKET IN THE UNITED KINGDOM." International Journal of Strategic Property Management 22, no. 5 (September 24, 2018): 348–57. http://dx.doi.org/10.3846/ijspm.2018.5219.

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According to search theory, transaction volume possesses the function of price discovery and reflects information more rapidly than price does. However, the findings of previous empirical studies differ considerably. In this study, a theoretical model is first established to analyze the potential information lag of transaction volume during pessimistic speculation. Data on the UK housing market are collected to conduct an empirical analysis of the responses of housing transaction volume to different market conditions. The results show that transaction volume responds to market information more quickly than does housing prices. However, under increasing market uncertainty, transaction volume lags four periods before reflecting the effect of the uncertainty. Moreover, this study performs a rolling window bootstrap Granger causality test, revealing that price leads volume during the period in which transaction volume fails to reflect an immediate rise in market uncertainty. An increase in market uncertainty reduces transaction volume. In addition, once transaction volume drops below a specific threshold, it loses its information content and price discovery function, extending the lead-lag gap with housing prices by two periods. The present study proposes a simple method for determining the informative-ness of housing transaction volume.
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7

Ershova, S. A., and T. N. Orlovskaya. "Research of the construction volume of housing and socially significant objects as a basis for creating a comfortable urban environment in the subjects of the Russian Federation." Вестник гражданских инженеров 18, no. 6 (2021): 205–13. http://dx.doi.org/10.23968/1999-5571-2021-18-6-205-213.

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The article presents the results of a study of the volume of housing construction and social infrastructure facilities construction for solving the urgent problem of creating an integrated residential development in Russian regions. A hypothesis has been put forward and substantiated regarding the advisability of revising priorities in the formation of investment plans in the construction of housing and socially significant objects. Using the methods of regression analysis, there has been revealed the dependence of the volume of construction of socially significant objects and construction of housing in the constituent entities of the Russian Federation. There has been proved the absence of heteroscedasticity in the obtained regression equation, and the possibility of its application for constructing predictive trends has been shown. A comparison has been made between the volumes of the normative need for the construction of educational facilities in St. Petersburg and the value of the volume of construction of similar facilities calculated on the basis of the obtained regression equation.
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8

Park, Dongha. "Behavioral Economic Analysis of Housing Transaction Volume." Journal of Korea Real Estate Analysists Association 26, no. 3 (September 30, 2020): 121. http://dx.doi.org/10.19172/kreaa.26.3.8.

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9

Zhussupov, Timur, and Lazzat Yelubay. "House stock forecasting based on population growth. A case of Nur-Sultan City, Kazakhstan." Technobius 1, no. 4 (December 26, 2021): 0009. http://dx.doi.org/10.54355/tbus/1.4.2021.0009.

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Since the beginning of 2020, the "Nurly Zher" housing and communal development program for 2020-2025 came into force in Kazakhstan. Within the framework of this program there are tasks of capital repair and renovation of the housing stock. The passportization of the housing stock was adopted as one of the measures to solve this problem. At the same time there are some discrepancies in the statistical data between the Committee of Statistics of the Ministry of National Economy of the RK and Local Executive Authorities with a simultaneous increase in the volume of housing construction. This article examines the volume of residential buildings commissioned in Nur-Sultan depending on changes in the population of the city. It is assumed that as the number of people in the city will increase the volume of housing stock. To understand the volume of housing in Nur-Sultan in the period of the program "Nurly Zher" in the article gives a forecast increase in commissioned housing by 62% by 2025, compared with the value at the end of 2020. Based on the data obtained it is concluded that for a more effective solution to the problem of capital repair and renovation of housing stock an alternative approach or tool is needed.
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10

Chiu, Shuk Man, Kwong Wing Chau, and Yung Yau. "Market response to land auction events: a transaction volume approach." International Journal of Housing Markets and Analysis 8, no. 1 (March 2, 2015): 4–26. http://dx.doi.org/10.1108/ijhma-01-2014-0002.

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Purpose – The purpose of this paper is to investigate the response of transaction volume in Hong Kong’s housing market to public land auctions. Design/methodology/approach – An event study approach with the use of regression analyses was adopted for the empirical study. Findings – Fewer pre-event transactions in the secondary housing spot market come with greater dispersion in the pre-event forecasts of land auction outcomes. Unexpected auction outcomes were also found to minify the post-event transaction volume in the secondary housing spot market, with negative unexpected outcomes exerting a stronger downward force. Research limitations/implications – These findings are contrary to the empirical evidence commonly found in most financial literature on stock transaction volume around corporate earnings announcements with an assumption of negligible transaction costs. Imperfect market structure, differences in sellers’ and buyers’ characteristics and short-sale restriction may explain the disparity. Practical implications – Price in the secondary housing market is more sensitive to negative unexpected land auction outcomes. The analysis results of the current study attest that the impact exerted by the negative unexpected auction outcomes on transaction volume in the housing spot market is stronger than that of positive unexpected auction outcomes. Originality/value – Unlike price and return, transaction volume has not received substantial academic attention in property research. In particular, within the existing small body of transaction volume research, the impact of information events on trading activities has been largely ignored.
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11

Hasniati, Hasniati, Dewi Pratiwi Indriasari, and Arief Sirajuddin. "Marketing Mix Analysis on Increasing Sales Volume at Perumnas Branch I Tamalanrea in Makassar." International Journal of Social Science Research and Review 5, no. 7 (July 18, 2022): 10–21. http://dx.doi.org/10.47814/ijssrr.v5i7.357.

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Regional VII national housing corporation is the largest housing estate in Makassar, namely Bumi Tamalanrea Permai (BTP). Some of the facilities that will be added to the housing estate are shophouses, modern traditional markets, fresh markets, and several commercial houses. The total land area of 315 hectares has been used as a means to fulfill housing needs for residents of Makassar City. The construction of additional facilities in housing located in Bumi Tamalanrea Permai (BTP) is intended for the community to meet needs in the economic sector. Perumnas Branch I Tamalanrea also built houses for the upper-middle class, namely houses with types 36, 45, and 70. Houses with type 36 will be sold for IDR 230 million, while for type 45 for IDR 250 million, and type 70 for selling, for IDR 400 million. The construction of a number of these facilities also adjusts to the housing segment to be built, namely for the upper-middle-class community. Perumnas Regional VII will continue to boost the addition of housing for the community, with relatively affordable prices and also of good quality. Perumnas Branch I Tamalanrea has succeeded in building more than 1,000 housing units. 20 percent are very simple houses and 80 percent are simple houses.
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12

Yiu, C. Y., K. F. Man, and S. K. Wong. "Trading Volume and Price Dispersion in Housing Markets." Journal of Property Research 25, no. 3 (September 2008): 203–19. http://dx.doi.org/10.1080/09599910802696615.

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13

Lee, Chien-Chiang, Chin-Yu Wang, and Jhih-Hong Zeng. "Housing price–volume correlations and boom–bust cycles." Empirical Economics 52, no. 4 (June 9, 2016): 1423–50. http://dx.doi.org/10.1007/s00181-016-1101-9.

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14

Oh, Yun Kyung. "A Study on the Dynamic Causal Relationship between Housing Price and Housing Trading Volume." Residential Environment Institute Of Korea 18, no. 1 (March 30, 2020): 21–33. http://dx.doi.org/10.22313/reik.2020.18.1.21.

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15

Belova, Irina. "Housing and communal services as a driver of the Urals Federal District sustainable development." E3S Web of Conferences 258 (2021): 06031. http://dx.doi.org/10.1051/e3sconf/202125806031.

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The study aims to analyze the current state of the housing and communal services market in the Ural Federal District. The features of the housing and communal services market in the Urals Federal District have been investigated, key trends in the development of the studied market have been identified. The assessment of the volume of the housing and communal services market in the Urals Federal District in value terms is carried out, its dynamics in 2015-2020 is presented. The nature of the investigated market volume dynamics is revealed, the average annual rate of its growth and the drivers of market growth are determined. The structure of housing and communal services and the structure of the housing stock in the Ural Federal District within the regions and districts are considered. The heterogeneity of these structures is shown. A significant share (about 66.0%) in both structures presented falls on Sverdlovsk and Chelyabinsk regions. The study is based on statistical data from the Federal State Statistics Service of the Russian Federation, data from specialized portals (Unified information resource - GIS Housing and Communal Services, State Corporation - Fund for Assistance to Reforming Housing and Utilities Sector (Housing and Utilities Fund)). The results obtained in this work helps further research to conduct a competitive analysis on the housing and communal services market in the Urals Federal District, determine the shares of the largest competitors in the studied market, estimate the volume of housing and communal services consumption per capita, as well as the saturation and estimated potential of the housing and communal services market in the Urals Federal District.
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16

Oust, Are, and Ole Martin Eidjord. "International Real Estate Review." International Real Estate Review 23, no. 2 (June 30, 2020): 267–308. http://dx.doi.org/10.53383/100302.

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The aim of this paper is to test whether Google search volume indices can be used to predict house prices and identify bubbles in the housing market. We analyze the data that pertain to the 2006?2007 U.S. housing bubble, taking advantage of the heterogeneous house price development in both bubble and non-bubble states in the U.S. Using 204 housing-related keywords, we test both single search terms and indices that comprise search term sets to see whether they can be used as housing bubble indicators. We find that several keywords perform very well as bubble indicators. Among all of the keywords and indices tested, the Google search volume for ¡§Housing Bubble¡¨ and ¡§Real Estate Agent¡¨, and a constructed index that contains the twelve best-performing search terms score the highest at both detecting bubbles and not erroneously detecting non-bubble states as bubbles. A new housing bubble indicator may help households, investors, and policy makers receive advanced warning about future housing bubbles. Moreover, we show that the Google search outperforms the well-established consumer confidence index in the U.S. as a leading indicator of the housing market.
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17

Moffitt, Sally. "Book Review: People of Color in the United States: Contemporary Issues in Education, Work, Communities, Health, and Immigration." Reference & User Services Quarterly 56, no. 4 (June 21, 2017): 306. http://dx.doi.org/10.5860/rusq.56.4.306a.

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People of Color in the United States: Contemporary Issues in Education, Work, Communities, Health, and Immigration is composed of four separately titled and individually edited volumes that follow a common organizing pattern for sale as a set: Education: K–12 and Higher Education (volume 1), Employment, Housing, Family, and Community (volume 2), Health and Wellness (volume 3), and Immigration and Migration (volume 4). Each volume opens with a listing of its contents. These consist of a “Guide to Related Topics,” a “Preface,” an “Introduction,” “Essays” listed by title in alphabetical order, “Perspectives and Debate” (many of which pose a question that offers a pro and con response), “Recommended Resources,” “About the Editors and Contributors,” and a comprehensive “Index” to all four volumes.
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18

de Wit, Erik R., Peter Englund, and Marc K. Francke. "Price and transaction volume in the Dutch housing market." Regional Science and Urban Economics 43, no. 2 (March 2013): 220–41. http://dx.doi.org/10.1016/j.regsciurbeco.2012.07.002.

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19

Сулейманова, Lyudmila Suleymanova, Глаголев, Evgeniy Glagolev, Марушко, and Mikhail Marushko. "THE DEVELOPMENT OF HOUSING CONSTRUCTION IN RUSSIA." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 2, no. 1 (December 8, 2016): 17–22. http://dx.doi.org/10.12737/23587.

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Social and economic reforms, occurring in Russian Federation, radically changed approaches to solving the housing problem, economic and organizational basis for housing and communal services. Long-term work on the formation of legal and economic conditions of transition to market methods of regulation and also the realization of targeted programs gave certain results housing construction: increase the volume of living spaces, improvement of living conditions of citizens, affordability of housing for low-income families.
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20

Lawrence, Roderick J. "Integrating architectural, social and housing history." Urban History 19, no. 1 (April 1992): 39–63. http://dx.doi.org/10.1017/s0963926800009627.

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The growth of interest in urban and housing history during recent decades has produced a large volume of studies that has examined broad societal parameters, or themes, such as housing policies, economics and legislation. Concurrently, a growing volume of historical research about households and families has been published, but few studies examine the lifestyles and values of the residents. In sum, there rarely has been any systematic analysis of how longitudinal developments in domestic life are related to developments in the spatial layout, the meaning and use of shared and private spaces and the daily activities these accommodate. In general, the inter-relations between the architectural, cultural and societal dimensions of housing history have commonly been overlooked. This paper argues why, and then illustrates how, integrative concepts and methods can be applied to diversify and enrich recurrent interpretations by referring to a published study of urban housing and daily life in the French- speaking cantons of Switzerland between 1860 and 1960.1
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21

Popa, Dan, Lynn Waterhouse, Tom Neuman, and Peter Witucki. "Performance of the Uni-Vent Eagle™ Model 754 ventilator under hyperbaric conditions." Undersea and Hyperbaric Medicine 48, no. 4 (October 1, 2021): 409–16. http://dx.doi.org/10.22462/07.08.2021.5.

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Critically ill patients needing mechanical ventilation may require hyperbaric oxygen therapy. Some institutions still use ventilators that were available prior to the advent of hyperbaric-specific units, such as the Uni-Vent Eagle™ model 754. Here we examine the performance of the Uni-Vent model 754 under hyperbaric conditions and investigate concerns of an oxygen leak in the ventilator housing, which poses a fire risk. We studied the ventilator at 1.0, 2.4 and 2.8 ATA in assist control mode using a Michigan test lung and a variety of tidal volumes and respiratory rates. We recorded the delivered volumes, peak pressures, and oxygen percentages within the hyperbaric chamber at 2.4 and 2.8 ATA and within the ventilator housing. At those pressures the ventilator delivered approximately 25% less volume than at 1.0 ATA. We observed breath stacking at high respiratory rates, but this was blunted at both 2.4 and 2.8 ATA. Oxygen levels did not rise in the housing during our investigation. In addition, we fit a linear regression to the data comparing set tidal volumes and delivered tidal volumes in order to model the changes observed. Hyperbaric conditions caused decreased delivered tidal volumes in a depth-dependent fashion, and oxygen levels within the housing did not rise. The Uni-Vent Eagle model 754 performed safely and effectively at depth but requires spirometry to correctly program desired ventilator settings.
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22

Maltais, Danielle. "Leonard W. Kay and Abraham Monk (eds.). Congregate Housing for Elderly, Theoretical, Policy and Programmatic Perspectives. Haworth Press, 1991." Canadian Journal on Aging / La Revue canadienne du vieillissement 15, no. 1 (1996): 151–54. http://dx.doi.org/10.1017/s0714980800013362.

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ABSTRACTDespite its publication year (1991), this volume deserves the attention of facilitators and researchers in the field of gerontology interested in the issue of housing for the elderly in loss of independence. The authors discuss from different viewpoints the concept of congregate housing, a form of living which offers a minimum of support services to older adults with disabilities. The book consists of ten papers of debates, analyses and experiences which sensitize the reader to this alternate form of institutional housing. Without question, this volume is of great interest, and the quality of work from the researchers who contributed to the various articles noteworthy.
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23

Kolesnyk, T., and O. Kolontaievskyi. "ANALYSIS OF THE CONDITION OF HOUSING CONSTRUCTION IN THE KHARKIV REGION." Series: Economic science 5, no. 158 (September 25, 2020): 85–89. http://dx.doi.org/10.33042/2522-1809-2020-5-158-85-89.

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The purpose of the article is to analyze the state of housing construction in the Kharkiv region and identify factors influencing the dynamics of its development. It is noted that the housing problem remains extremely relevant for the Kharkiv region where there is a large delayed demand for housing. Housing construction accelerates the growth of the gross domestic product of the region, employment of its population, growth of budget revenues. Factors influencing the amount of housing built are not constant and require periodic analysis. Statistical data of housing construction in Kharkiv region are investigated. It is noted that the area of housing commissioned has decreased in recent years. In 2012, half of the total area of residential buildings commissioned in the Kharkiv region fell on the city of Kharkiv. The last three years the area of residential buildings built in other cities and towns of the region is 17–30%. The leaders in housing construction among the cities of regional significance in different years were: Lyubotyn (2014), Izyum (2015, 2019), Kupyansk (2016-2017) and Chuguiv (2018). Among the districts, the most active housing construction is carried out in Kharkiv and Derhachiv districts. It is noted that the volume of construction work performed by enterprises of Kharkiv region in January-June 2020 amounted to 8.9% of the national volume, but the pace of construction of residential buildings decreased by 13%. The index of residential construction products for the first half of 2020 compared to the first half of 2019 amounted to 88%. It is determined that the number of commissioned housing primarily on the amount of capital investment in the region and other factors influencing the dynamics of housing development, such as the socio-political situation in the country, the state of the economy, the availability of mortgage lending and others. The housing programs operating in the Kharkiv region to provide the population with their own housing are considered. Keywords: housing, housing construction, housing provision, construction rates, housing loans, сapital іnvestments.
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24

Nguyen, Quoc Hung, Bao Tri Diep, Duy Hung Nguyen, Van Bien Nguyen, Van Bo Vu, and Qui Duyen Do. "Development of a novel MR clutch featuring tooth-shaped disc." Vietnam Journal of Mechanics 43, no. 3 (September 30, 2021): 265–76. http://dx.doi.org/10.15625/0866-7136/15879.

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In this research, we focus on development of a new configuration of magneto-rheological fluid (MRF) based clutch (MRC) featuring a tooth-shaped disc with multiple teeth acting as multiple magnetic poles of the clutch. The tooth-shaped disc is placed in a clutch housing composed of the left housing and the right housing. The inner face the housing also has tooth shaped features mating with the teeth of the disc through the working MRF. Excitation coils are placed directly on stationary winding cores placed on both side of the clutch housing. An air gap of 0.3 mm is left between the housing and the winding cores to ensure the housing can freely rotate against the winding cores. After the introductory part, configuration of the MRC is introduced and the transmitted torque of the MRC is derived. An optimization process to minimize the overall volume of the proposed clutch, which can generate a required maximum braking torque, is then conducted. The optimal results show that the overall volume of the proposed MRC is significantly reduced compared to a referenced conventional MRC (0.159 m3 vs. 0.295 m3). A prototype of the proposed MRC is fabricated for experimental works and good agreement between the experimental results and simulated ones is archived.
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25

N.B.C.D., Okoye, Enwin A.D., and Anyanechi I.C.N. "Core Housing Strategy for Improved Urban Low-Cost Public Housing Delivery in Anambra State, Nigeria." African Journal of Economics and Sustainable Development 5, no. 1 (January 11, 2022): 1–16. http://dx.doi.org/10.52589/ajesd-bhuzfsck.

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Anambra state of Nigeria experiences acute housing shortage for urban low-income population owing to inefficient public housing delivery system principled on conventional full-provision house types. Insufficiency of funds for housing development is a major cause. Increased rate and scale of housing production and volume of housing stock have been stalled. Low-income households are adversely affected, being priced out of the limited stock. Core housing, a partial-provision strategy believed to require less financial resources has been neglected. This research focused on the potentials of core housing strategy in financial cost-saving and other aspects of public housing products’ performance. Components of public housing products’ performance and the measuring variables were first outlined; followed by a review of the relationship between core housing and the variables, which was apt and revealing. This study has widened knowledge and prepared grounds for empirical studies of core housing performance in Anambra State public housing sector.
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Lee, Youngsoo, and Jongpil Lee. "Causality and Predictability of Price-Volume in Housing Market - Evidence from Seoul and Busan Housing Markets -." SH Urban Research & Insight 8, no. 3 (December 31, 2018): 51–67. http://dx.doi.org/10.26700/shuri.2018.12.8.3.51.

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27

Bochko, Оlena, Nataliia Kosar, Nataliia Kuzo, Iryna Bilyk, and Olena Zarichna. "Determinants of Housing Construction in Ukraine." Real Estate Management and Valuation 30, no. 3 (September 1, 2022): 1–11. http://dx.doi.org/10.2478/remav-2022-0017.

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Abstract The work presents an analysis of the housing construction market in Ukraine. An economic and mathematic model was built to determine that the growth of the volume of housing construction in Ukraine had a positive impact on its GDP, due of a close relation between the two values. It is important to identify factors influencing the volume of housing construction. The obtained results prove that the greatest impact is made by consumer income, deposit rates in foreign currency, and the amount of consumer loans for buying, building and reconstruction of real estate assets; the numbers of marriages, investments in housing construction and interest rates for mortgage credits in UAH also have a significant impact. The elasticity coefficients reveal a positive impact of such factors as an increase of consumer income, growth of investments in housing construction, reduction of interest rates for mortgage credits and deposit rates in foreign currency, reduction of the amount of consumer loans for buying, building and reconstruction of real estate assets, and reduction of the number of marriages. Further development of the housing construction market requires appropriate conditions for the development of the banking sector in Ukraine and the growth of investments in the studied industry.
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28

Colombijn, Freek. "Public housing in post-colonial Indonesia: The revolution of rising expectations." Bijdragen tot de taal-, land- en volkenkunde / Journal of the Humanities and Social Sciences of Southeast Asia 167, no. 4 (2011): 437–58. http://dx.doi.org/10.1163/22134379-90003579.

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Public housing can show us important things about Indonesia in the 1950s, because seemingly technical, neutral planning decisions were in reality highly political choices. Public housing was restarted on a massive scale in Indonesia in the early 1950s, but the building volume soon fell off because of financial constraints. This limited success raises the questions of what happened to public housing during the decolonization, which groups were reached, what the size of the public housing sector was, and why public housing soon failed to live up to the high expectations of the political leaders, and perhaps the general public too, after Independence.
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29

Drozdova, I. V. "Analysis of the residential real estate market in St. Petersburg." Вестник гражданских инженеров 18, no. 5 (2021): 167–72. http://dx.doi.org/10.23968/1999-5571-2021-18-5-167-172.

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The article analyzes the state of the primary and secondary residential real estate markets in St. Petersburg for the period from 2016 to 2020. The rating of developers leading in St. Petersburg in terms of the housing commissioning volume has been compiled. There have been identified the factors (economic sanctions, quarantine restrictions, devaluation of the ruble, inflation, decrease in the level of income of the population) influencing a decrease in the volume of housing commissioning, an increase in the cost and decrease in the affordability of housing in the primary and secondary residential real estate markets in 2019-2020. The trends in the development of residential real estate markets in St. Petersburg in 2021-2022 have been revealed.
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30

Kok, Shiau Hui, Normaz Wana Ismail, and Chin Lee. "The sources of house price changes in Malaysia." International Journal of Housing Markets and Analysis 11, no. 2 (April 3, 2018): 335–55. http://dx.doi.org/10.1108/ijhma-04-2017-0039.

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Purpose The purpose of this paper is to examine the house market in Malaysia from 2002 to 2015. Specifically, the macroeconomic determinants on the house price and house demand are investigated. Design/methodology/approach Structural Vector Autoregressive Regression was adopted to estimate the unexpected changes in both house demand (residential transaction volume) and prices based on economic theoretical reasoning that consider shock from macroeconomic determinants. Findings The transaction volume and real house prices respond to most of the macroeconomic shocks. While the impact of real gross domestic product (GDP) on house prices appears to be stronger and longer in comparison to other macroeconomic shocks, a 60 per cent change in house prices can be explained by real GDP regardless of whether it is in the short run or the long run. The studies also reveal that a positive effective exchange rate plays an important role when demonstrating the transaction volume. Moreover, monetary liquidity plays a major role in justifying the transaction volume. This implies that mortgage lending may have an impact on housing demand. Meanwhile, movements of house prices cannot be explained by the demand in quantity. This signifies that supply has a strong influence in determining the price. Research limitations/implications This study has implications on policymakers of which the interest rate as a cooling measure might not be effective in the short run. The interest rate has very little impact on housing prices. Furthermore, policymakers should address the concerns on speculations, as the results reveal that monetary liquidity and the exchange rate have a strong impact on the housing demand. Originality/value This study seeks to provide answers regarding the recent upsurge of Malaysian housing prices. Besides focusing on the house price changes, this study addresses the role of transaction volume while evaluating the house market, as housing prices are usually downwards rigid. Since the price and transaction volume are both related to the transaction activity, this study is significant and could be a good reflection on the actual demand behaviour in the residential market.
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Ovsiannikova, Tatiana, and Olga Rabtsevich. "National priorities and national projects in the housing sector of modern Russia." Real estate: economics, management, no. 2 (June 24, 2021): 12–21. http://dx.doi.org/10.22337/2073-8412-2021-2-12-21.

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The article is devoted to the analysis of implementation efficiency of the housing policy in Russia as the mostimportant direction of the state economic policy. It is noted that all countries rec-ognize the importance of housingsecurity for the health of the nation and economic growth. The studies have shown that problems of housingdevelopment, including the availability and ade-quacy of housing are among the national priorities in the stateeconomic policy and are imple-mented throughout a system of strategic documents and national projects thatdefine goals, ob-jectives, directions and target indicators of the state housing policy. The article shows a system oftarget indicators for the development of the housing sector, which allow us to assess the effec-tiveness of housingpolicy in Russia. The most important indicators are the volume of housing construction and the average housingavailability. Based on the official statistical data of the Federal State Statistics Service (Rosstat) and the Bankof Russia, the analysis of the dynamics of housing construction development is carried out and the main trendsin housing construction were identified, such as: increased spatial heterogeneity in the distribution of housinginvest-ments, a decrease in the volume of housing construction, an increase in demand for new housing, anda deterioration in the typological structure of built housing. The article shows the impact of project financing and thereduction of mortgage rates on the housing construction dynamics. Us-ing methods of correlation-regression andfactor analysis, as well as scenario approach a forecast of achievability of the target indicators for the developmentof the housing sector in Russia is made. It is concluded that it is essential to adjust the strategic target indicatorsof housing con-struction as well as the state housing policy. Measures to improve availability and adequacy ofhousing for the Russian population are proposed. Acknowledgments. The reported research was funded by Russian Foundation for Basic Research and by theTomsk Region Government, grant No. 18-410-700013
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Hornsby, Rob. "Soviet Society after Stalin." Soviet and Post-Soviet Review 41, no. 3 (November 28, 2014): 325–34. http://dx.doi.org/10.1163/18763324-04103005.

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This article looks at four of the latest works on the post-Stalin Soviet Union. Drawing upon new volumes on consumerism and housing, as well as an edited volume on Soviet society, it offers a number of pointers in regard to the on-going evolution of scholarship on the period and outlines several prevalent themes in the current literature.
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Noorzai, Esmatullah, and Mahmood Golabchi. "Selecting a proper construction system in small and medium mass housing projects, considering success criteria and construction volume and height." Journal of Engineering, Design and Technology 18, no. 4 (February 21, 2020): 883–903. http://dx.doi.org/10.1108/jedt-09-2019-0227.

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Purpose As the population grows, one of the major global crises is the management of human settlement. A proper solution to deal with this issue is mass housing. Given the variable needs in these projects, two constraints of height and volume of construction play an essential role in fulfilling success criteria. Hence, this paper aims to choose the most appropriate building method to satisfy time, cost, quality and safety factors considering the volume and height of construction. Design/methodology/approach In this research, the proper construction methods in mass housing projects in two volumes of up to 1000 (small) and 1000-3000 (medium) residential units in three ranges of the height of 5, 5-10, and higher than ten floors were determined with a focus on the success criteria based on real experiences through questionnaires and interviews. Findings The results show that steel bolt and nut and tunnel framework systems in higher than five-floor building projects act better than other methods, while in up to five-floor building projects, LSF saves time and cost and steel bolt and nut provides higher quality and safety. Originality/value Given the extent of work, the results of this research can be considered as a benchmark in the mass housing industry.
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Rong, Li Hui, and Yu Mei Sun. "The Analysis of Second-Hand Housing Price Influencing Factors Based on Hedonic Model and WEB Information." Applied Mechanics and Materials 587-589 (July 2014): 2285–89. http://dx.doi.org/10.4028/www.scientific.net/amm.587-589.2285.

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Housing is a typical kind of heterogeneity goods, namely each house contains a serious of different attributes and housing price is regarded as every attribute of comprehensive value judgment to family.Taking second-hand housing of Kunming city as the research object, this paper uses Hedonic model and WEB information to study the quantitative relationship between housing price and housing characteristic. The results show that semi-log form characteristic function fits the highest degree in second-hand housing of location attribute and the regression coefficient shows that residential link location is the largest factor affecting house price. Housing price influencing degree by residential property in turn is link location,rail traffic and property fees,volume rate,education facilities,bus line,decoration and construction area,and the main influence factors and influence degree of housing price vary from area to area.
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Alekseyenko, Lyudmyla, Oksana Tulai, Yuriy Petrushenko, Andriy Kuznietsov, and Julia Derkash. "Affordable housing for internally displaced persons: The priorities for investment and development in Ukraine." Investment Management and Financial Innovations 18, no. 1 (February 2, 2021): 101–13. http://dx.doi.org/10.21511/imfi.18(1).2021.09.

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The institution of home ownership provides for the functioning of affordable housing for low-income people and new groups in need of social protection, including the reintegration of migrants to new places of residence. The aim of the study is to substantiate the priorities of investments into affordable housing for internally displaced persons promoting their adaptation and social reintegration in the context of administrative-territorial decentralization.The study is based on use of empirical, economic and statistical methods, which in the process of correlation, regression and canonical analysis showed that many indicators that characterize the housing market are closely correlated with the scale and development level of administrative units in Ukraine. To characterize the state and investment attractiveness of the residential real estate market, a set of indicators was used in the modeling: population, the number of employed, household income, regional domestic product, volume of commissioned housing, construction investments, regional human development index, total housing stock, housing prices in the regions of Ukraine and Kyiv. The most significant parameter that affects the volume of housing construction is the amount of investments into per capita housing construction. The article also discusses the housing market situation, which differs in regions or some cities due to the significant differentiation of their development, which affects the ability to obtain affordable housing. The implementation of regional development programs should determine investment priorities of social protection, particularly the possibility of buy-out schemes through the mechanism of leasing of social housing by internally displaced persons. Acknowledgment This research was funded by a grant from the Ministry of Education and Science of Ukraine “Reforming the lifelong learning system in Ukraine for the prevention of the labor emigration: a coopetition model of institutional partnership” (No. 0120U102001).
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36

Oplotnik, Tjaša. "Institutional Environment and Housing Conditions in the European Union." Lex localis - Journal of Local Self-Government 6, no. 3 (September 2, 2009): 287–309. http://dx.doi.org/10.4335/56.

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There is no housing policy at the level of the European Union. Therefore, it is the domain of national options. There are also big differences between individual Member States. Despite that, the basic feature of the housing policies has been privatisation in most European countries over the last twenty years. It means transferring the responsibility for housing provision from the state to the market and formation of financial networks within which an individual can provide his or her housing. In nearly all EU Member States, including Slovenia, a major volume of selective allocation of housing construction for the market and a higher level of housing quality are noticeable. The purpose of this paper is to present the housing policies and the housing market conditions in Slovenia, Great Britain, Germany, Sweden and Spain. On the basis of the comparative analysis of the selected countries, we tried to present characteristics, differences or similarities in the housing standard. They are reflected in the quality, availability and accessibility of the housing stock. KEY WORDS: • housing market • housing policy • quality • availability • accessibility • housing stock • Slovenia • Great Britain • Germany • Sweden • Spain
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Huang, MeiChi. "A Nationwide or Localized Housing Crisis? Evidence from Structural Instability in US Housing Price and Volume Cycles." Computational Economics 53, no. 4 (May 31, 2018): 1547–63. http://dx.doi.org/10.1007/s10614-018-9822-9.

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38

Chandramouli, Mathangi A., Lauren Mount, Robert Winchell, and Philip Chang. "24 Geospatial Localization of Adult Burn Injuries and Associated Housing Factors in a Major Urban Metropolis." Journal of Burn Care & Research 41, Supplement_1 (March 2020): S18—S19. http://dx.doi.org/10.1093/jbcr/iraa024.028.

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Abstract Introduction According to the National Burn Repository, almost 75% of all burns occur at the burn victim’s home. The modern urban metroplex is a diverse ecosystem made up of varied socioeconomic backgrounds often housed under heterogenous living conditions. We sought to better understand the relationship between location of injury and socioeconomic factors using geospatial mapping for this patient population. Methods Injury Zip Code Data was obtained from the electronic medical record of an ABA verified Burn Center serving a major urban metropolis from 2016–2018. Data was also obtained from this city’s OpenData database and included housing vacate list data from the fire department of this city, fire department dispatch data, fire department firehouse listing, fire department active order violation, and housing maintenance code complaints. ArcGIS software was used to create and analyze hotspot maps (p&lt; 0.05). Results GIS analysis revealed a statistically significant relationship between number of burns (NB) and firehouse density per zip code in sparsely distributed patches around NYC (Fig. 1) (p&lt; 0.05). Notably, there is a statistically significant relationship between NB and fire dispatch volume as well as a large cluster of statistically significant area with respect to NB and housing active code violations in the two most populous districts (Fig 2 and 3) (p&lt; 0.01). Conclusions Certain housing factors such as building code violations relate to burn volume in certain areas. It is also noted that increased firehouse density and fire dispatch volume are associated a larger volume of burn occurrences. Further analysis of different housing and social factors are is anticipated. Applicability of Research to Practice Burn outreach efforts are tailored towards our unique population. Having a better understanding of the population and localizing areas with increased burn injuries along with the potential social factors can help direct future outreach and prevention efforts.
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Park, Soon Mahn, Ho Jin Lee, (Eun Sang Jung, Seung Dong You, Yeong Woo Nam, and Kyu Hyun Ji. "The Thirty Years of the Housing Studies Review : A Text-Mining Approach." Korean Association for Housing Policy Studies 30, no. 3 (August 31, 2022): 179–201. http://dx.doi.org/10.24957/hsr.2022.30.3.179.

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We analyze the research trend of the Housing Research Review over the period of 1993 to 2021. In particular, adopting text-mining methodologies: word frequency analysis, wordcloud technique, N-gram, and Topic Modeling, we analyze titles and keywords of all the papers on the journal. Based on those analyses, we find that words that the papers on the journal most frequently used over the past 30 years are ‘housing’ and ‘research’, which are followed by ‘price’, ‘househhold’ and ‘income’. Our word proximity analsyis shows the most-related keywords; housing prices, housing markets, fluctuations, and trading volume in terms of market and price structure; housing occupancy and household changes in terms of housing demand. Our analysis of Latent Dirichlet Allocation reveals six categories; ‘the ownership and apartments’, ‘price and space’, ‘real estate policy and regulation’, ‘household’s decision in housing market’, ‘regional characteristics evaluation’, and ‘residency and rental housing’. The most interested topics are related to ‘price’, and we confirm that the topics of interest has been changed over the decades; from ‘development and management’ and ‘rental housing and real estate’ to ‘public housing’. In addition, our analysis confirms that housing research on Housing Studies Review is comprehensive and includes a variety of housing topics.
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40

Cluff, P. J. "Aging in Place: Housing Adaptions and Options for Remaining in the Community. Gloria Gutman and Norman K. Blackie (Eds.). Burnaby, British Columbia: Simon Fraser University and The Canadian Association on Gerontology, 1986, pp. ($17.50 CDN)." Canadian Journal on Aging / La Revue canadienne du vieillissement 5, no. 4 (1986): 279–83. http://dx.doi.org/10.1017/s0714980800008138.

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SUMMARY ABSTRACTThis volume is the third in the recent series, jointly published by Simon Fraser University and the CA.G., and presents background information and observations on the growing diversity of housing options resulting from seniors expressing a desire to remain in their own homes. Aspects explored in the first part of the book include trend identification in the 55+ housing market, a general socio-demographic overview, discussions of changing migration patterns of seniors within Canada, and various housing alternatives. The second part of the book deals with existing Federal and Provincial Shelter-Related' programs and initiatives, designed to assist seniors in ‘aging in place’, in the community. This book benefits from being read in conjunction with its companion volumes, and the reader is advised to utilize financial data with prudence particularly in the light of current economic changes.Aging in Place: Housing Adaptions and Options for Remaining in the Community, edited by Gloria Gutman and Norman Blackie, is a selection of papers originally presented at two symposia, held in conjunction with the 14th Annual Meeting of the Canadian Association of Gerontology, in Hamilton, Ontario, in the fall of 1985.
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41

Pestryakov, Aleksey, Nadezhda Sbrodova, Alisa Titovets, and Polina Pysova. "Sustainable development of housing construction in a major city due to the standard-class segment." E3S Web of Conferences 296 (2021): 03010. http://dx.doi.org/10.1051/e3sconf/202129603010.

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Within the framework of achieving several sustainable development goals, the construction of high-quality and affordable housing for citizens is considered. According to the Decree of the President of the Russian Federation “On national goals and strategic objectives of the development of the Russian Federation for the period up to 2030”, it is necessary to increase the volume of housing construction to at least 120 million square meters per year. The construction of standard-class housing contributes to the achievement of these goals. The article uses regression analysis to determine the main factors affecting the construction of standard-class housing in the city of Yekaterinburg. The problems and prospects for the development of housing construction at the expense of the standard-class segment are also identified.
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42

Machts, René, Alexander Hunold, and Jens Haueisen. "The effect of dipole housing and feeding wires in physical phantoms for EEG." Current Directions in Biomedical Engineering 5, no. 1 (September 1, 2019): 85–88. http://dx.doi.org/10.1515/cdbme-2019-0022.

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AbstractCurrent dipoles are well established models in the localization of neuronal activity to electroencephalography (EEG) data. In physical phantoms, current dipoles can be used as signal sources. Current dipoles are often powered by constant current sources connected via twisted pair wires mostly consisting of copper. The poles are typically formed by platinum wires. These wires as well as the dipole housing might disturb the electric potential distributions in physical phantom measurements. We aimed to quantify this distortion by comparing simulation setups with and without the wires and the housing. The electric potential distributions were simulated using finite element method (FEM). We chose a homogenous volume conductor surrounding the dipoles, which was 100 times larger than the size of the dipoles. We calculated the difference of the electric potential at the surface of the volume conductor between the simulations with and without the connecting wires and the housing. Comparing simulations neglecting all connecting wires and the housing rod to simulations considering them, the electric potential at the surface of the volume conductor differed on average by 2.85 %. Both platinum and twisted pair copper wires had a smaller effect on the electric potentials with a maximum average change of 6.38 ppm. Consequently, source localization of measurements in physical head phantoms should consider these rods in the forward model.
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43

Stepanova, D., and D. Mironova. "Forecast and Development Prospects of the Russian Mortgage Market." Scientific Research and Development. Economics of the Firm 9, no. 4 (January 11, 2021): 57–66. http://dx.doi.org/10.12737/2306-627x-2020-57-66.

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The study discusses the current state of the mortgage market in Russia, identifies its main trends and trends of further development based on the results of market analysis for 2018-2020. The dynamics of the volume of issued housing mortgage loans in Russia as a whole and in the context of federal districts, the dynamics of interest rates for various types of mortgages are presented, the trend of reduction of credit institutions providing mortgage loans is analyzed, and the rating of Russian banks in terms of the volume of mortgage loans is presented. A factor analysis of the volume dynamics of housing mortgage loans is carried out, and the preconditions for the growth of the Russian mortgage market are identified.
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44

Leung, Charles Ka Yui, and Jun Zhang. "International Real Estate Review." International Real Estate Review 14, no. 3 (December 31, 2011): 311–29. http://dx.doi.org/10.53383/100144.

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Three striking empirical regularities have been repeatedly reported: the positive correlation between housing prices and trading volume, and between housing price and time-on-the-market (TOM), and the existence of price dispersion. This short paper provides perhaps the first unifying framework which mimics these phenomena in a simple competitive search framework. In the equilibrium, sellers with heterogeneous waiting costs and buyers are endogenously segregated into different submarkets, each with distinct market tightness and prices. With endogenous search efforts, our model also reproduces the well-documented price- volume correlation. Directions for future research are also discussed.
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45

Ok, Youngkyung, Jungmu Kim, and Yuen Jung Park. "The Effect of Housing Prices on Bank Performance in Korea." Sustainability 11, no. 22 (November 7, 2019): 6242. http://dx.doi.org/10.3390/su11226242.

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This study analyzes the relationship between housing prices and bank performance in Korea. To this end, using lending growth, return on assets, and non-performing loans as a performance measure, we estimate fixed-effects models for each measure. Major empirical results are summarized as follows. First, fluctuations in housing prices affect the banks’ lending decisions. If housing prices rise, banks tend to increase the volume of loans. Second, fluctuations in housing prices affect the quality of assets owned by banks. Banks’ asset soundness will improve in the case of a rise in housing prices. Third, fluctuations in housing prices have a greater impact on bank profitability when the real estate market goes bust. Our study suggests that in Korea, one of the emerging markets, there is a positive relationship between changes in housing prices and banks’ performance. In particular, banks’ profitability and soundness could be significantly hampered by a drop in housing prices. Therefore, it is necessary to be wary of excessively expanding real estate loans during the period of real estate booms.
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46

Ismanto, Ikko Bagus, Laksono Djoko Nugroho, and Wateno Oetomo. "STUDY OF DRAINAGE, PANORAMIC HOUSING, CEMENGKALANG VILLAGE, SIDOARJO DISTRICT." INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM (IJATEIS) 1, no. 3 (December 8, 2022): 73–90. http://dx.doi.org/10.55047/ijateis.v1i3.458.

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Panorama Residence housing which has an area of 8000 m2 is located in a plain area with a slope of about 0-1%. The survey results on the Panorama Residence Housing, Cemengkalang Village, Sidoarjo District, have an elevation of -0.20 m, slightly above the flood level – 0.30 m. This area has a high probability of flooding due to overflow from the Pucang River, which runs off (run-off water) from other areas if it rains with high intensity. Moreover, the Panorama Residence area is a dense residential area with roads and parking lots, so rainwater has a smaller chance of infiltrating and running off. After analysis, The flood discharge at the 25-year return period on the Pucang River was 72,561 m3/sec. At the same time, the cross-sectional capacity of the Pucang River was 64,402 m3/sec, so the cross-section of the Pucang River at the Panorama Residence Housing location experienced overflow. The run-off volume is 102.6 m3, while the total capacity is 565.68 m3, so the extended storage capacity is quite adequate. In rainy conditions, t = 30 minutes, the run-off volume that occurs = 30.96 m3, and the total channel length = 493.12 m, the total drainage channel capacity = 184.92 m3 is greater than the run-off volume, 30.96 m3.
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47

Tokunova, G. F. "Institutional environment of the construction sector: changes taking place in the context of the crisis." Вестник гражданских инженеров 19, no. 3 (2022): 178–84. http://dx.doi.org/10.23968/1999-5571-2022-19-3-178-184.

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The article considers the behavior of the main economic agents in the construction sector in the period 2000-2022 from the position of the institutional approach. The following indicators were analyzed: the volume of work performed under the foreign economic activity «Construction», statistics on the transition to escrow accounts, housing affordability coefficient, indicators of the implementation of the national project «Housing and urban environment» in St. Petersburg. The analysis of the sources allowed us to determine the reasons for the following: the abolition of the licensing system in construction; the transition to self-regulation and to project financing of housing construction; low indicators of housing affordability. The directions of digitalization of construction using BIM and CIM technologies are presented.
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48

Yu, Xuyao. "The Relationship between Monetary Policy and the Housing Bubble." Highlights in Business, Economics and Management 1 (November 28, 2022): 71–74. http://dx.doi.org/10.54097/hbem.v1i.2321.

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Will monetary policy affect the price of housing and thus lead to a housing bubble? It is well known that the Fed's monetary policy decisions affect the U.S. and the world economy, guiding the direction of the economy through monetary policy adjustments. The real estate market has a huge volume and monetary policy has a profound impact on it. Loose monetary policy can lead to a boom in the real estate market, but too much of a boom can lead to a crisis. This article examines whether monetary policy affects housing bubbles by analyzing the views of Ben S. Bernanke and John B. Taylor and modeling the data to examine whether monetary policy causes housing bubbles.
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Chen, Chang, Haoyu Zhai, Zhiruo Wang, Shen Ma, Jie Sun, Chengliang Wu, and Yang Zhang. "Experimental Research on the Impact of Interest Rate on Real Estate Market Transactions." Discrete Dynamics in Nature and Society 2022 (March 17, 2022): 1–14. http://dx.doi.org/10.1155/2022/9946703.

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Based on the close relationship between real estate and capital financing, this paper specifically discusses the impact of interest rate changes in China on real estate market transactions. Housing price regulation has been a hot and focused topic of economics research. It is important to explore the effect of interest rate on real estate market transactions, for the interest rate is an important tool for the government to carry out macrocontrol of the real estate market and affects residents’ consumption choices of goods. Currently, most scholars believe that interest rate changes have a significant impact on house prices, but their studies are often based on empirical analysis of macro data, making it difficult to exclude the effects of economic differences, geographic characteristics, and other factors. Also, some scholars believe that it is difficult for interest rates to have a long-term impact on real estate prices. This paper applies the experimental economics method to simulate real estate transactions in the real market and control the irrelevant variables to study the movements of housing prices, transaction volumes, consumer transaction intentions and bubble indices under different deposit and lending rates. The results show that: (1) The level of deposit interest rate has a significant inhibitory effect on housing price and a significant promoting effect on real estate market transaction volume and traders’ house-buying behavior. The higher the level of deposit interest rate is, the better the degree of regulating house prices deviating from the theoretical price is and the better the effect of inhibiting market bubbles. (2) The level of lending rate has a significant inhibiting effect on the volume of real estate transactions and a significant promoting effect on the house-buying behavior of traders, but its effect on housing prices and market bubbles is not significant. The higher the level of lending rate is, the better the degree of regulating housing prices deviating from the theoretical price is. (3) The effect of deposit interest rate and lending rate policies on the house selling behavior of market traders is not significant.
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Kader, Sheikh Abdul, Nurul Mohammad Zayed, Md Faisal-E-Alam, Muhammad Salah Uddin, Vitalii Nitsenko, and Yuliia Klius. "Factors Affecting Demand and Supply in the Housing Market: A Study on Three Major Cities in Turkey." Computation 10, no. 11 (November 2, 2022): 196. http://dx.doi.org/10.3390/computation10110196.

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This paper aims to identify the economic factors that significantly affect the demand for and supply of housing in three major cities in Turkey, such as Istanbul, Ankara, and Izmir. This study uses monthly data ranges from January 2010 to December 2020 because of the limited housing price data from each city. For smooth measurement, the logarithm of all data except measurements of nominal interest rate, real interest rate and inflation is used. This research uses the Co-integration Analysis and Vector Error Correction Model (VECM) to investigate the macroeconomic variables’ effects on the demand and supply. Mortgage credit volume, as a dependent variable, is influenced by real per capita GDP, real house prices, projected inflation, and nominal interest rates. On the contrary, the building site is used as a dependent variable on the supply side that is determined by the real housing price, the real interest rate, and the real cost of construction. In the VECM model, the mortgage credit volume and constriction cost were dominated by error correction variables, showing the adjustment of disequilibrium towards an equilibrium point. In the case of Ankara, supply-side variables have a long-term relationship. Both housing demand and supply-related factors have a long-term impact on the housing market in Istanbul and Izmir. Given a significant p-value, the coefficient of C1 derived from system equations is negative.
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