• Title/Summary/Keyword: Housing lease price

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Foreign Uncertainty and Housing Distribution Market in Korea

  • Jeon, Ji-Hong
    • Journal of Distribution Science
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    • v.16 no.12
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    • pp.5-11
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    • 2018
  • Purpose - We investigate the relationship between economic policy uncertainty (EPU) of the US and China and housing distribution economy in Korea using EPU indexes of two countries and the economic indicators in Korea. Research design, data, and methodology - We use the data such as the Korean housing price stability index (HPSI), housing purchase price index (HPPI), housing lease price index (HLPI), banking stock index (BSI), and consumer price index (CPI) with EPU indexes from January 1999 to December 2017. As an empirical methodology, we select the vector error correction model (VECM) due to the existence of cointegration. Result - As results of the impulse response function, the impact of the US EPU index has initially a negative response on the Korean HPSI, HPPI, and HLPI referring the housing distribution market including the economic variables, BSI, and CPI. Likewise, the impact of index in China has initially a negative response on economic indicators except the BSI in Korea. Conclusions - This study shows that the EPU index of the US has significantly negative relationships on all economic indicators in Korea. In this study, we reveal EPU of the US and China has dynamic impact on housing distribution economy returns in Korea.

The Impact of Asian Economic Policy Uncertainty : Evidence from Korean Housing Market

  • Jeon, Ji-Hong
    • The Journal of Asian Finance, Economics and Business
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    • v.5 no.2
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    • pp.43-51
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    • 2018
  • We study the impact of economic policy uncertainty (EPU) of Asian four countries such as Korea, Japan, Hong Kong, and China on housing market returns in Korea. Also, we document the relationship between the EPU index of those four countries and the housing market including macroeconomic indicators in Korea. The EPU index of those four countries has significantly a negative effect on the housing purchase price index, housing lease price index in Korea. The EPU index in Korea and Japan has significantly a negative effect on the CPI. The EPU index in only Japan has significantly a negative effect on the PPI. The EPU index in Hong Kong and Korea has significantly a negative effect but the EPU index in China significantly has a positive effect on the stock price index in construction industry. The EPU index in only Korea has significantly a negative effect the stock price index in banking industry. This study shows the EPU index of the Korea has the negative relationships on the housing market economy rather than other countries by VECM. And this study has an important evidence of the spillover of several macroeconomic indicators in Korea for the EPU index of the Asian four countries.

System Dynamics Modeling of Korean Lease Contract Chonsei (시스템 다이내믹스 방법론을 활용한 국내전세 구조분석)

  • Park, MoonSeo;Moon, Myung-Gi;Lee, Hyun-Soo;Hwang, Sungjoo;Lee, Jeoung-Hoon
    • Korean Journal of Construction Engineering and Management
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    • v.13 no.6
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    • pp.153-164
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    • 2012
  • Since the sub-prime mortgage crisis from the US in 2008, Korean housing market has plummeted. However, Korean local lease contract, Chonsei, price has been increasing. This increase of Chonsei price can be a threat to the low-income people because most of them prefer to live at the house with a Chonsei contract. In order to solve this problem, the Korean Government implemented several Chonsei policies to secure low-incomers' residence by decreasing the price of Chonsei; however, due to the lack of understanding on housing and Chonsei market, Korean government policy seemed to fail on getting effective results. In the housing and Chonsei market, there are many stakeholders with their own interest, hence, simple thoughts about housing and Chonsei market, such as more house supply will decrease house price, would not work in a real complex housing market. In this research, we suggests system dynamics conceptual model which consists of causal-loop-diagrams for the Chonsei market as well as the housing market. In addition, we tries to explain why the policy did not work effectively using the examples from the government's past measures. In results, Chonsei price has its own homeostasis characteristic and different price movement with housing price in the short and long term period. Unless government does not have a structural causation mind in implementing policies in the real estate market, the government may not attain intended effectiveness on both markets.

TECHNICAL PROPOSAL BASED COST REDUCTION BIDDING SYSTEM FOR SUPPLYING AFFODABLE HOUSING

  • Seunghee Kang;Jeongseok Lee;Gunhee Cho;Jeongrak Sohn;Jongdae Bang
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.1433-1439
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    • 2009
  • Best value is the ultimate goal of the owner and can thus have diverse meanings according to the project characteristic, owner's purpose, user groups' payment capability, etc.. Recently, resettlement problems of the marginalized members in the urban regeneration area have been issued in Korea because they have no capability to purchase (or lease) redeveloped housing (or apartment). It means that a minimized production cost for reducing supply price of housing is a key factor in establishing the best value of the marginalized members. The lowest-price bidding system serves the purpose of ensuring a minimized production cost, but due to the low-cost investments, it creates various problems, such as sloppy construction, lowered quality, an increased LCC, and worsening profitability for builders. Thus, to help them resettle, it is necessary to supply affordable housing geared towards a certain appropriate quality and minimum construction costs. Towards this end, this study aimed to propose a cost reduction bidding system based on a technical proposal. The proposed technical-proposal-based cost reduction bidding system consists of the following components: work-unit-based, project-unit-based, and construction-period-reducing technical proposals. These components are evaluated to select the best bidder for a given project. The technical proposal based cost reduction bidding system proposed herein is expected to provide facilities with appropriate supply prices and appropriate quality levels, to bolster the technological competitiveness of builders.

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Consolidation of Protection for Lessees by Improvement of Opposing Power System of the Unregistered Housing Leases (미등기 주택임대차의 대항력 관련 제도개선을 통한 임차인보호 강화)

  • No, Hann-Jang
    • The Journal of the Korea Contents Association
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    • v.14 no.8
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    • pp.466-475
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    • 2014
  • According to the Housing Lease Protection Act, even though it is not registered, if the lessee has completed delivery of a house and the resident registration, the lease shall take effect against the third person from the following day thereof. Any lessee who has met the requirements for opposing power and obtained the fixed date on the lease contract document, shall be entitled to receive the repayment of the deposit from the converted price of the leased house, in preference to any junior obligors and other creditors, at the time of an auction as provided by the Civil Execution Act and a public sale as prescribed by the National Tax Collection Act. The lessee shall be entitled to receive a repayment of a specified amount of the deposit in preference to other persons having the security rights in the leased house. However those provisions give rise to many problems because the Housing Lease Protection Act allows the opposing power and the right of preferential payment from the following date of fulfillment of the requirement. For the purpose of solving the problems, this study suggests that the Housing Lease Protection Act need to be amended as follows. The fixed date should be added to the requirement of opposing power and the preferential right of specified deposit repayment. In addition, the commencement of opposing power and preferential right of deposit repayment need to be taken effect from the day that the requirement is fulfilled.

A Study on Relationship between House Rental Price and Macroeconomic Variables (주택 전세가격과 거시경제변수간의 관계 연구)

  • Kim, Hyun-Woo;Chin, Kyung-Ho;Lee, Kyo-Sun
    • Korean Journal of Construction Engineering and Management
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    • v.13 no.2
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    • pp.128-136
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    • 2012
  • In this study, we investigated the macroeconomic variables that affect housing prices thus creating a large impact on people's lives as well as the real estate market. For the study, the macroeconomic variables able to influence the House Rental Price (housing price by lease or deposit) were used for an analysis as follows: housing sales price index, household loans rate, total household savings, the number of employees and a multiple regression analysis was performed using a time series for each macroeconomic variable. As a result of the analysis, the House Rental Price was affected by all of four macroeconomic variables. The House Rental Price increased as each variable enlarged. In conclusion, this study may be useful for finding a solution for stabilizing the House Rental Price as well as for the establishment of efficient and sustainable policies for the housing market.

Analyzing Spatial Correlation between Location-Based Social Media Data and Real Estates Price Index through Rasterization (격자기반 분석을 통한 위치기반 소셜 미디어 데이터와 부동산 가격지수 간의 공간적 상관성 분석 연구)

  • Park, Woo Jin;Eo, Seung Won;Yu, Ki Yun
    • Journal of Korean Society for Geospatial Information Science
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    • v.23 no.1
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    • pp.23-29
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    • 2015
  • In this study, the spatial relevance between the regional housing price data and the spatial distribution of the location-based social media data is explored. The spatial analysis with rasterization was applied to this study, because the both data have a different form to analyze. The geo-tagged Twitter data had been collected for a month and the regional housing price index about sales and lease were used. The spatial range of both data includes Seoul and the some parts of the metropolitan area. 2,000m grid was constructed to consider the different spatial measure between two data, and they were combined into the constructed grids. The Hotspot Analysis was operated using the combined dataset to see the comparison of spatial distribution, and the bivariate spatial correlation coefficients between two data were measured for the quantitative analysis. The result of this study shows that Seocho-gu area is detected as a common hotspot of tweet and housing sales price index data. though the spatial relevance is not detected between tweet and housing lease price index data.

An Empirical Analysis about Effect Factors of Chinese Housing Price: Focusing on FDI into China (중국 주택가격에 영향을 미치는 요인에 관한 실증분석: 중국에 대한 FDI를 중심으로)

  • Choi, Baek Ryul;Guo, Hua Bing
    • International Area Studies Review
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    • v.15 no.3
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    • pp.263-283
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    • 2011
  • As China has achieved continuous high growth, innovative housing system and rapid growth of housing finance for thirty years since its reforming and opening, Chinese real estate industry has developed rapidly, investment in real estate has increased remarkably and price of real estate has increased continuously. In particular, as China joined WTO in 2001, overseas companies have expanded investment in Chinese real estate market with chances of potential profit. Recently, management of foreign capital real estate companies has expanded from housing to office buildings and luxury shops. Besides, management has expanded from real estate development to various tasks such as management, brokerage service, lease management and financial investment. In order to measure relationship between FDI in Chinese real estate and Chinese housing price, this document utilizes not only various data such as housing price, FDI to real estate, domestic loan of real estate, interest rate and exchange rate in 35 major cities across China but also previous researches to set an empirical analysis model and analyze effects of foreigners' direct investment in Chinese real estate on Chinese housing price.

Resident Evaluation on Housing and Demand on Residential Service according to Type of Public Rental Housing (공공임대주택의 유형에 따른 거주자 평가와 주거서비스 조사)

  • Lee, So Young;Oh, Myoung Won
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.35 no.1
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    • pp.11-18
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    • 2019
  • There is a growing demand for public rental housing since housing price increased rapidly and socially vulnerable people need more stable housing. The purpose of this study is to investigate housing evaluation (satisfaction), moving plan, and residential service according to the type of the public rental housing and the characteristics of the resident, and to suggest the development direction for comprehensive housing services including the community level. Data used for analysis in this study are from 2016 Seoul panel survey of public rental housing residents. A total of 3009 questionnaire from public rental households were collected in 2016 Seoul panel survey. In order to investigate housing requirements, we analyzed household characteristics, housing satisfaction, moving plans, welfare services, residential activities and community facilities, social environment. In this study, the difference of residential satisfaction, moving plan, and residential service according to the type of the public rental housing and the characteristics of the resident is analyzed to identify their housing demands. As a result, there were differences in residential satisfaction, moving plan, and residential service depending on type of public rental housing and characteristics of residents. Residents in public rental housing modified from the multi-family housing after purchase showed lower residential satisfaction, and higher intention for moving plan compared to residents living in other type of public rental housing. In the residential service, residents in permanent lease type have higher experience of housing service as well as demand on housing service. Especially single household, elderly household, female household, or household with handicapped person indicated higher demand for housing services.

Minimum Floor Area Ratio Estimation Model for Reconstruction Projects to Compensate for Loss of the Aged Long-term Public Rental Housing (노후 장기공공임대주택 손실보전을 위한 재건축사업의 최소용적률 수리모델)

  • Joe, Wongoog;Na, Seunguk;Cho, Jeaho;Chae, MyungJin;Son, Bosik;Kim, Hyunsoo;Chun, JaeYoul
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.5
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    • pp.108-116
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    • 2022
  • Started in 1989 as Public Permanent Rental Housing scheme, public rental housing lease policy is increasing target residents and supply in each government by introducing new supply types. However, public housing business entities have difficulties in expanding the supply due to cumulated deficit. The research suggested long-term public rental housing reconstruction business as a method to preserve the cumulated deficit from the previous. Minimum floor area ratio mathematical model was suggested by defining the floor area ratio of reconstruction business as minimum, since housing sales profit after reconstruction could preserve aggregated deficit, and mathematically approached by considering the traits of long-term public rental housing reconstruction. The determinant for minimum floor area ratio mathematical model comprise cumulated deficit of the existing long-term public rental housing, land size of reconstructed sale housing, housing sales price per unit area, and business cost per unit area. Minimum floor area ratio mathematical model is expected to be the milestone for supporting decision making regarding the economic part of old long-term public lease housings' reconstruction scale, and expanding housing supply within urban area.