• Title/Summary/Keyword: Chonsei Price

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System Dynamics Modeling of Korean Lease Contract Chonsei

  • Myung-Gi Moon;Moonseo Park;Hyun-Soo Lee;Sungjoo Hwang
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.151-157
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    • 2013
  • Since the sub-prime mortgage crisis from the US in 2008, the Korean housing market has plummeted. However, the deposit prices of the Korean local lease contract, Chonsei, had been increasing. This increase of Chonsei prices can be a threat to low-income people, most of whom prefer to live in houses with a Chonsei contract. 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 conclusion, the Chonsei price has its own homeostasis characteristics and different price behavior with housing price in the short and long term period. We found that unless government does not have a structural causation mind in implementing policies in the real estate market, the government may not attain their intended effectiveness on both markets.

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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.

A Study on the Effect of Chonsei Price Increase on the Index of Financial Industry (전세가격상승이 금융산업 생산지수에 미치는 영향에 관한 연구)

  • Jo, I-Un;Kim, Bo-Young
    • The Journal of the Korea Contents Association
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    • v.15 no.10
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    • pp.457-467
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    • 2015
  • Despite the recent phenomena of Chonsei price increase, low interest rate and low growth, the indexes of financial and insurance industry production showed the results contrary to the common belief that the financial industry is sensitive to such financial crises. This is because the index of financial industry has continuously maintained a certain level of increase as opposed to the index of all industry production. Thus, this study aimed to analyze the dynamic correlation between the index of financial industry production and Chonsei price increase. A vector autoregression (VAR) model, which doesn't have a cointegrating relationship, was used to define the Chonsei price index and the indexes of all industry production and financial and insurance industry, which are macro economic variables, and describe the data. The results of the analysis on the time series data of 183 months from January 2000 to May 2015 showed that Chonsei price increase was not directly derived from the index of financial industry, but the finance industrial index affected Chonsei price increase.

The Conversion of Chonsei into Monetary Costs and its Relationship with the Consumer Price Index (전세가격의 비용화와 소비자물가지수: 소비자물가지수 자가주거비 반영을 중심으로)

  • JIYOON OH
    • KDI Journal of Economic Policy
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    • v.45 no.4
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    • pp.57-77
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    • 2023
  • The Chonsei component holds the highest level of weight (5.4%) in the composition of the Korean consumer price index (CPI). The variations in Chonsei prices are directly reflected in the CPI as a representation of cost swings. The Chonsei refers to a deposit that accumulates the costs related to housing services and is mostly affected by variations in rental rates. Nevertheless, it is important to note that Chonsei prices are also susceptible to fluctuations in interest rates, regardless of the rent prices. Therefore, if Chonsei were directly and one-to-one indexed to the CPI, they could include changes other than residential service prices. After analyzing the time series data of the Chonsei index and rent index inside the CPI, it becomes apparent that the Chonsei index displays an average annual growth rate of 2.3%, whilst the rent index reveals a growth rate of 0.9%. The observed disparity in growth rates indicates a divergence in trends between the two indices. It is posited that the Chonsei index, when capitalized, has had a more rapid increase compared to the rental index, owing to the gradual drop in interest rates. To effectively reflect fluctuations in the housing service costs, proxies for the Chonsei index were utilized in the construction of a consumer price index. The findings of our study suggest that, overall, the newly developed CPI demonstrates a comparatively lower rate of inflation when compared to the official CPI. Furthermore, the inclusion of imputed rents for owner-occupied housing in CPI amplifies this effect.

The Spillover Effect of Public Hosing Policy on Rental Housing Market: The Case of Seoul, Korea (공공임대주택이 주변 전세시장에 미치는 효과: 서울시 장기전세주택(SHIFT)의 경우)

  • Yang, Jun-Seok
    • Journal of the Economic Geographical Society of Korea
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    • v.20 no.3
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    • pp.405-418
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    • 2017
  • SHIFT is public rental housing policy introduced by Seoul Metropolitan in 2007, which works as Chonsei(korean unique deposit rental system). This paper examines the effect of SHIFT on Chonsei prices of neighborhood apartments. To estimate the change in prices of Chonsei after the provision of SHIFT, I collect data on Chonsei prices of apartments within a 5km radius from the SHIFT housings. Summary of main results are following. Chonsei prices of the apartments within a 2-3km radius decreased by 4.4% after the provision of SHIFT housings. In contrast, when it comes to apartments within a 1-2km radius, I can't find the stochastic relationship between the provision of SHIFT hosing and price changes. This results can be explained by "Offset effects" caused by real estate development. Provision of SHIFT can sequentially induce nearby area's development, which plays a factor in the effect of price increases. And this offset effects varies in each apartment complex depending on demand for Chonsei and supply of the SHIFT.

A Study on Political Correspondence for Paradigm Change of Housing Chonsei and Monthly Rent Market (주택 전월세시장 패러다임변화와 정책 제언)

  • Park, Sang-Hak;Kwon, Chi-Hung;Kim, Kyeong-Mi
    • Land and Housing Review
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    • v.6 no.4
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    • pp.195-213
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    • 2015
  • Recently, there has been changing the housing rental market paradigm structure which has been increased the ratios of partly monthly rental ratios, because of increasing chonsei's price, the preference of monthly rental and the rack of chonsei's supply amount. This study had done a survey of 1,400 people for private and public rental residents by region and housing types during Dec. 2014. According to the result of survey, Market participant prospect strongly to change chonsei to monthly rental market structure and the reason of rising of chonsei's price is the preference of householder's monthly rental because of decreasing interest rate and the rack of chonsei's supply amount. The housing policy's proposal of the stability of low income class's housing and jense's price strongly recommended the expansion of public rental housing supply and the activation of private rental housing, the expansion of chonsei loan, housing boucher etx. The rental market policy for high income class have desired to market autonomy than public side's intervention, on the other hands, the rental market policy for low income class have strongly need to the public side's intervention such as the contiuneous long-term rental housing supply.

Shifting Trend from Chonsei to Monthly-Rent and Rental Housing Policies (월세화 추세와 전월세 대책)

  • Suh, Seong Hwan
    • Journal of the Korean Regional Science Association
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    • v.31 no.2
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    • pp.63-77
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    • 2015
  • Effects of shifting trend from Chonsei to monthly-rent and the changes in rental housing prices upon the welfare of tenants has been analyzed. In 2014, welfare of tenants has been found to be decreased by 660 billion Korean Won due to the change in rental housing prices. From the point of view of the welfare of tenants, it has been found that monthly-rent stabilizing policies are 1.47 times more effective than Chonsei price stabilizing policies. The effect of monthly-rent stabilizing policies has been found to be increased with the increase in the proportion of monthly-rent transaction, the decrease in the speed of the shifting trend from Chonsei to monthly-rent, the decrease in interest rate, the decrease in the proportion of variable deposit in monthly-rent, the decrease in the proportion of debt in Chonsei deposit. These findings indicate that the relative importance of monthly-rent stabilizing policies will be increased in the future.

An Analysis on Apartment Chonsei Price in Seoul with Residential Lease Price Index (주거임차부담지수 산출과 서울시 아파트 전세가격 적용사례 분석)

  • Jo, I-Un;Kim, Sang Bong
    • The Journal of the Korea Contents Association
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    • v.15 no.5
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    • pp.488-497
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    • 2015
  • The recent increase of chonsei has raised the degree of lease burden of households, and a new residential lease price index needs to be introduced to measure such degree of lease burden. In order to convert the burden into an index, the calculation method of the K-HAI, which is announced by the Korea Housing Financing Corporation, is applied by replacing house purchase with lease. From the calculation, the residential lease prices index of the first quarter of 2014 is estimated to be approximately 114, indicating that the cost of lease exceeds 35% of income. The result of analysis on the trend of the residential lease prices index from the first quarter of 2012 to the present in Seoul indicates that the residential lease prices index in Seoul has continued to increase, compared to that of the entire country. The results of this study will be a foundation to find a solution for the stabilization of chonsei and investigate the degree of lease burden by region when establishing a sustainable housing policy.

A Study for Construction of the Monthly Rent Price Survey (월세가격동향조사 구축을 위한 연구)

  • Park, Jin-Woo;Baek, Sung-Jun;Lee, Ki-Jae
    • Survey Research
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    • v.9 no.3
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    • pp.1-21
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    • 2008
  • The housing market in Korea had mainly consisted of Maemae(purchasing market) and Chonsei(rental market). Since 1997 foreign exchange crisis, the rental housing market has experienced substantial changes in preferred rental contracts between Chonsei and monthly-rent. Even though monthly-rent has taken a substantial portion of housing rental contracts, not yet reliable monthly-rent index has been developed. Furthermore, it isn't obvious to define monthly-rent because there are many types of monthly rent structures from full-monthly-rent to monthly-rent-with-variable-deposit. This study is the basic research of developing a housing price index of monthly-rent in accordance with the existing price index of Maemae and Chonsei in Korea. This research has been carried out with the following contents: (1) Constructing the actually desirable concept of monthly-rent through examining monthly-rental market in Korea. (2) Selecting the reasonable method to investigate monthly-rental market, especially monthly-rent-with-variable -deposit. (3) Designing monthly-rental market samples and calculating the price index of monthly-rent based on 2005 Census.

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Development of the Housing Business Model to Minimize the Fluctuation Risk of the Housing Market (주택시장 변동리스크를 최소화하기 위한 주택사업모델 개발)

  • Lee, Younghoon;Lee, Sanghyo;Kim, Jaejun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.10
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    • pp.635-646
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    • 2016
  • This paper proposes a housing business model, where the presale and Chonsei housing are supplied under a presale system at the same time based on the characteristic correlation between the housing presale market and Chonsei market in Korea. Markowitz portfolio theory was used to review the risk diversification effects from the changes in the ratio between the presale housing supply and the Chonsei housing supply. The housing sale price indicator was used as a proxy variable to determine the presale housing supply. The housing Chonsei price indicator was used as a proxy variable to determine the Chonsei housing supply. The proposed housing business model was applied to major areas in Korea to examine the risk diversification effect. Comparisons of the regional portfolio analyses showed that the flexibility of the proposed housing business model can be quite effective because each regional housing market exhibits different characteristics. Market participants, such as developers, construction companies, consumers, and government, can expect various effects through the proposed housing business model. Nevertheless, policy support is necessary for practical applications of the proposed housing business model. In particular, public funds from the government need to be introduced.