• Title/Summary/Keyword: 주택매매

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The Effect Factors affecting Lease Guaranteed Loan on Lease Market Fluctuation by Time Series Analysis Model (시계열 분석 모형을 이용한 전세시장 변동에 따른 전세보증대출 영향 요인에 관한 연구)

  • Jo, I-Un;Kim, Bo-Young
    • The Journal of the Korea Contents Association
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    • v.15 no.6
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    • pp.411-420
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    • 2015
  • With the rapid increase in the price of house lease, a unique housing form in Korea, a serious social issue has been raised as to the use value of house lease and residence stability of the ordinary people. This study thus aimed to analyze the direct factors that affect lease guaranteed loan and market volatility in order to explore the right direction of financial policy to reduce housing burdens. To this end, the direct variables affecting house lease guaranteed loan, including lease price, transaction price and lending rate, were defined. Vector Error Correction Model (VECM), a time series analysis, was employed to dynamically explain the data. Based on the house lease prices and bank data on loans between January 2010 and December 2014, it was found that the increase in lease price was the direct result of the increase in lease guaranteed loan, not that of the decrease in lending rate or increase in housing transaction price.

The Factors Affecting the Population Outflow from Busan to the Seoul Metropolitan Area (지역별 수도권으로의 인구유출에 영향을 미치는 요인 연구: 부산시 사례를 중심으로)

  • LIM, Jaebin;Jeong, Kiseong
    • Land and Housing Review
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    • v.12 no.2
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    • pp.47-59
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    • 2021
  • This study aims to review the trends of the population outflows in the metropolitan area of Busan and to investigate the factors that affect population out-migration to the Seoul metropolitan area. The following variables are considered for analysis: traditional population movement variables and quality of life variables, such as population, society, employment, housing, culture, safety, medical care, greenery, education, and childcare. The 'domestic population movement data', provided by the MDIS of the National Statistical Office, was used for this research. Out of the total of 57 million population movement data in the period 2012 - 2017, population outmigration from Busan to the Seoul metropolitan area was extracted. Independent variables were drawn from public data sources in accordance with the temporal and spatial settings of the study. The multiple linear regression model was specified based on the dataset, and the fit of the model was measured by the p-value, and the values of Adjusted R2, Durbin-Watson analysis, and F-statistics. The results of the analysis showed that the variables that have a significant effect on population movement from Busan to the Seoul metropolitan area were as follows: 'single-person households', 'the elderly population', 'the total birth rate', 'the number of companies', 'the number of employees', 'the housing sales price index', 'cultural facilities', and 'the number of students per teacher'. More positive (+) influences of the population out-movement were observed in areas with higher numbers of single-person households, lowers proportions of the elderly, lower numbers of businesses, higher numbers of employees, higher numbers of housing sales, lower numbers of cultural facilities, and lower numbers of students. The findings suggest that policies should enhance the environments such as quality jobs, culture, and welfare that can retain young people within Busan. Improvements in the quality of life and job creation are critical factors that can mitigate the outflows of the Busan residents to the Seoul metropolitan area.

The Tokenization of Space and Cash Out without Debt: Focus on Security Token Offerings Using Blockchain Technology (공간의 토큰화와 빚 없이 현금 뽑기: 블록체인 기술을 활용한 증권형 토큰 발행을 중심으로)

  • Lee, Hoobin;Hong, Dasom
    • Journal of the Economic Geographical Society of Korea
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    • v.24 no.1
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    • pp.76-101
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    • 2021
  • This paper analyzes two cases of space tokenization, Meridio and QuantmRE, to explore the potential of tokenization as a new means of space financialization. Space tokenization is based on blockchain technology and security token offering (STO). Although some financial geographers noted the possible impact of blockchain technology on space financialization, it has not been examined in depth. Therefore, this paper demonstrates space tokenization cases in detail. Meridio and QuantmRE suggest financial structures that convert space into tokens based on fractional ownership transactions. QuantmRE, specifically, allows a homeowner to secure cash without either debt or ownership relinquishment through sales of tokenized home equity. As this method takes a form of sale transaction rather than a loan, it enables financial institutions to circumvent strengthened regulation on loans after the 2008 global financial crisis. Moreover, even "house poor" households, who own houses but lack cash due to excessive loans, can cash out from their properties through QuantmRE. As such, space tokenization enables financial institutions to overcome constrained conditions after the global financial crisis, thereby reproducing space financialization. Space tokenization also has the potential to geographically expand space financialization through stimulating investment in the depressed housing market.

A Study on the Determinants of Apartment Price during COVID-19 Pandemic Using Dynamic Panel Model: Focusing on the Large-scale Apartment Complex of More than 3,000 Households in Seoul (동적패널모형을 활용한 코로나19 팬데믹 기간 아파트가격 결정요인 연구: 서울특별시 3000세대 이상 대규모 아파트 단지를 중심으로)

  • Jung-A, Park;Jong-Jin, Kim
    • Land and Housing Review
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    • v.14 no.1
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    • pp.33-46
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    • 2023
  • This study investigated price factors for large apartment complexes in Seoul during the COVID-19 pandemic and compared Gangnam and non-Gangnam areas, which have been recognized as heterogeneous markets. We find that the change in apartment prices in large-scale complexes did not significantly affect the individual characteristics of apartments, unlike previous studies, but was affected by macroeconomic variables such as interest rates and money. On the other hand, considering the units of the interest rate and total monetary volume variables, the effects of two variables on the apartment sales price is significantly high. In addition, the Gangnam area model analysis shows that apartment prices are greatly affected by interest rates and currency volume, and, the non-Gangnam area model analysis shows that apartment prices are greatly affected by interest rates and currency volume, but the degrees are different from the Gangnam area model. Overall, our study shows that interest rates and money supply were the main factors of apartment price changes, but apartment prices in non-Gangnam areas are more sensitive to changes in interest rates and money supply.

An Analysis on the Influence of the Financial Market Fluctuations on the Housing Market before and after the Global Financial Crisis (글로벌 금융위기 전후 금융시장 변동이 주택시장에 미치는 영향 분석)

  • Kim, Sang-Hyeon;Kim, Jae-Jun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.4
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    • pp.480-488
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    • 2016
  • As the subprime mortgage crisis spread globally, it depressed not only the financial market, but also the construction business in Korea. In fact, according to CERIK, the BSI of the construction businesses plunged from 80 points in December 2006 to 14.6 points in November 2008, and the extent of the depression in the housing sector was particularly serious. In this respect, this paper analyzes the influence of the financial market fluctuation on the housing market before and after the Global Financial Crisis using VECM. The periods from January 2000 to December 2007 and January 2008 to October 2015, before and after the financial crisis, were set as Models 1 and 2, respectively. The results are as follows. First, when the economy is good, the Gangnam housing market is an attractive one for investment. However, when it is depressed, the Gangnam housing market changes in response to the macroeconomic fluctuations. Second, the Gangbuk and Gangnam housing markets showed different responses to fluctuations in the financial market. Third, when the economy is bad, the effect of low interest rates is limited, due to the housing market risk.

A Business Model for Application of the Modular Building in the Rental Market (건축 임대시장에서 모듈러 건축의 적용성 연구 - 수익성 분석을 중심으로 -)

  • Yoon, Jongsik;Shin, Dongwoo;Cha, Heesung;Kim, Kyungrai
    • Korean Journal of Construction Engineering and Management
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    • v.16 no.6
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    • pp.3-11
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    • 2015
  • The current real estate market is in a state that is considerably shrink due to the recession and long-term reduction of trading. In response, the government recently announced an innovative way for the middle-class residential housing and it is taking the lead to activate the real estate market. Meanwhile, the domestic housing market is entering a transition period, including structural changes of household structure, changes from joeonse to rent increasingly. Also single-member households will rise steeply, so that makes the high demand of small houses. In addition, the domestic construction industry is interested in new technology called Modular building. The Modular construction is an off-site construction system that shorten construction period, eco-friendly building technology and mobility etc, which can be used in various field. Overall, there are two major issues of the current market, one is the change of the real estate market, and the other is the modular construction. This study will propose modular business model in the rental market through the analysis the profitability of the modular business scenarios and IRR analysis.

A Study on the Seoul Apartment Jeonse Price after the Global Financial Crisis in 2008 in the Frame of Vecter Auto Regressive Model(VAR) (VAR분석을 활용한 금융위기 이후 서울 아파트 전세가격 변화)

  • Kim, Hyun-woo;Lee, Du-Heon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.9
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    • pp.6315-6324
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    • 2015
  • This study analyses the effects of household finances on rental price of apartment in Seoul which play a major role in real estate policy. We estimate VAR models using time series data. Economy variables such as sales price of apartment in Seoul, consumer price index, hiring rate, real GNI and loan amount of housing mortgage, which relate to household finances and influence the rental price of apartment, are used for estimation. The main findings are as follows. In the short term, the rental price of apartment is impacted by economy variables. Specifically, Relative contributions of variation in rental price of apartment through structural shock of economy variables are most influenced by their own. However, in the long term, household variables are more influential to the rental price of apartment. These results are expected to contribute to establish housing price stabilization policies through understanding the relationship between economy variables and rental price of apartment.

Qualitative Equity of Neighborhood Parks in Daegu According to Socioeconomic Status (사회경제적 지위에 따른 대구시 근린공원 질적 가치 형평성)

  • Jung, Mijeong;Jung, Taeyeol
    • Journal of the Korean Institute of Landscape Architecture
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    • v.48 no.2
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    • pp.45-55
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    • 2020
  • In terms of environmental justice, urban parks play a pivotal role in imperative amenities allowing for physical activity. The reasonable distribution of urban park services must be considered in terms of community demand and the context of the park. The purpose of this study is to analyze the inequity of qualitative park service according to the socioeconomic status(SES) in Daegu. The qualitative service was assessed for 82 neighborhood and walking-distance parks by utilizing the NGST(Neighborhood Green Space Tool). The inequity was analyzed by SES variables(ratio of basic living recipients, ratio of single-parent families, average housing sales, dilapidated dwelling ratio, and park area per capita). The features of the qualitative equity in Daegu is as follows. First, urban park planning in Daegu is in parallel with the development of residential areas rather than the local policy. The development pattern of parks stretching from center of the city to outskirts clearly dissociates the city based on socioeconomic status. The parks in the center are relatively old and poorly managed. Second, overall neighborhood parks lacked recreational facilities. The facilities are significantly influenced by the housing values around them. The lower the recreation facility score, the higher the floor gradient of the urban parks constraining physical activities. Third, the quantitative supply of parks has nothing to do with the quality of the urban parks. Green space distribution is highly dependent on natural park areas, so the park area per capita cannot be a standard for assessing qualitative equity.

The Effects of GyeongIn Ara Waterway on the Regional Property Value (경인아라뱃길이 지역 부동산 가격에 미친 영향 분석)

  • Lee, Hee-Chan;Cha, Joo-Young;Park, Doo-Ho
    • Journal of Korea Water Resources Association
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    • v.46 no.3
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    • pp.277-285
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    • 2013
  • The purpose of this research is to evaluate the scenic value of the Gyungin Ara waterway in real estate prices. Apart from the multi-functionality such as transportation of passengers and freight, prevention of floods, and provision of leisure areas, the Ara waterway possesses a scenic function which offers people esthetic value through unique and beautiful scenery. This scenic function is an externality for apartment residents living nearby. The applied methodology for this research is the Hedonic Price Model (HPM) which creates a cause and effect model between real estate prices and attributes. Variables such as apartment sale prices, complex characteristics, location characteristics, timely characteristics have been deduced through data collected from a total of 4,207 households that have experienced actual transactions during the same period, all located within the scenic benefit boundaries of the waterway. Landscape variable has been derived from algorithm designed by a combination of digital map and Google Mapview. The scenic value of the waterway estimated through the application of HPM on these variables is 165,000 Won per area (pyeong). The regional asset enhancing effect caused by the landscape view of the waterway is estimated to be 89.1 billion won.

Estimating WTP for the reduction of disamenity in the Seoul Metropolitan Area Landfill site using the Hedonic Pricing Model (헤도닉가격모형을 이용한 수도권매립지 유발 비효용(disamenity) 감소에 대한 지불의사액 추정)

  • Kang, Heechan
    • Environmental and Resource Economics Review
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    • v.29 no.3
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    • pp.335-362
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    • 2020
  • Using the Hedonic pricing model using Box-Cox transformation, this paper estimated the marginal effect (implicit price) of odors from landfill in the metropolitan area on housing prices and the willingness to pay for changes in certain odor conditions. This paper utilized the proximity from the landfill in the metropolitan area as a environmental variable, and analyzed the effect of various housing characteristic variables on the sale price of apartments within a radius of 5 km from the landfill. In particular, because odors factor have various heterogeneity, we applied hedonic price models instead of stated-preference methods with various types of functional forms through Box-Cox transformation, considering the heterogeneity of each region. Estimates show that the marginal value (implicit price) for the distance from the odor source was 0.227 to 0.533 depending on the function type of the estimated model. In addition, when other house factors are the same, the marginal willingness to pay for a distance of 1km from the odor source was calculated to be 16.79 to 51.76 thousand dollar depending on the type of function. Finally for the general Box-Cox model, the annual WTP was estimated to be 3,229dollar.