• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.165-170
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• 2021

This study analyzed the effect of housing price changes on the performance of Korean regional banks using DOLS model. The analysis shows that housing price changes does not have a statistically significant effect on the loan growth, profitability and soundness of regional banks. Among macroeconomic variables, only short-term interest rates have a significant positive effect on any model. This means that a rise in short-term interest rates significantly increases loans by regional banks, which leads to a significant increase in profitability, but has a significant negative impact on soundness. On the other hand, bank characteristics variables are found to have a significant negative effect on the loan growth, profitability and soundness of Korean regional banks.

• Korean Journal of Construction Engineering and Management
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• v.20 no.5
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• pp.12-20
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• 2019

This study analyzes and suggests improvement direction for the problems of housing related market laws and policies that cause sudden changes according to the application criteria. These laws and policies include income deduction from housing subscription, monthly rent loan for housing stability, high price house, penalty points from poor quality construction, and real estate brokerage commission. Each has one or more specific values that decide application criteria causing noticeable different results. Benefit or loss can be decided when an application range is changed by a small difference of the application value near to the boundary. This study suggest to use equations instead of a certain values to remove those sudden changes and to make them steadily increasing slopes which can be lines or curves. The concept can be applied to other laws and policies that have significantly different results between criteria.

• 한국벤처창업학회:학술대회논문집
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• 2017.04a
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• pp.52-52
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• 2017

글로벌 금융위기 이후 다양한 형태로 등장한 금융상품과 ICT의 결합은 그 동안 생각하지 못한 방식으로 전 세계에 다양한 수요를 충족시키면서 폭발적으로 성장했다. 하지만 IT강국이라고 자부하는 대한민국은 다양한 규제와 시스템의 복잡성 때문에 은행상품이 온라인에서 거래되는 것은 아직까지 익숙하지 않다. 다행히 이러한 규제가 조금씩 완화되어 가면서 2016년은 모바일 송금, 금융상품 추천 플랫폼 등 비 금융업체 주도의 금융시장 온라인화가 소극적으로 이루어지는 과도기로 볼 수 있다. 이러한 시점에서 기존 오프라인 채널이 아닌 온라인 채널을 통해 금융상품을 구매하거나 가입하는 고객의 만족요인에 대해 연구하는 것은 향후 폭발적으로 증가할 수요에 앞서 연구하고, 현상을 주도할 기업에서도 소비자의 만족요인을 미리 파악한다는 점에서 시기적으로 적절하다. 해당 연구는 신용대출, 정기예금, 전세대출, 주택담보대출, 정기적금, 그리고 P2P투자 상품 별 만족도에 영향을 미치는 요인과 영향력을 SERVPERF 모델을 이용하여 분석한 뒤, 회귀분석과 텍스트간의 공동 출현단어에 대해 파이선을 통해 메트릭스를 형성하고, 사회연결망 분석으로 네트워크 중심성을 분석하여 단어간의 관계를 살펴보았다. 해당 연구는 국내 최초 온라인 금융상품 비교 추천 플랫폼인 "Finda"의 리뷰/평점데이터를 이용하였다.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2011.04a
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• pp.296-300
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• 2011

It's well known that housing is one of the largest holdings in household wealth and at the same time the majority of households highly concentrate on it for their wealth accumulation. Coupled with a low interest rate and increasing housing price, the rationale is conspicuous and the propensity to debt-financed consumption becomes strengthened. This research was to examine the risk of home financing. In doing so, the study utilized several secondary data to identify the characteristics of households who finance loans for home buying in three regions of the nation - so-called Bubble 7, Seoul Metropolitan Area, and others. Based on the 2009 KB survey, the major findings were as follows: the majority of the studied households in Seoul Metropolitan Area who owned a house lived in rental housing, housing accounted for 89% of the household wealth, and home loans taken on were a ballon payment amortized for a short-term period (5 years) with an adjustable interest rate. In addition, the payment method most of the households depend on is income. The financing mechanism fueled debt load of the households, and further they are financially very vulnerable to such factors as increase in interest rate, unemployment and market downturn. In the absence of understanding the financial system, the consumption behavior leads to house-poor, so that financial accountability and ethics are addressed while the intervention of the government in home financing system should be more cautious but stimulate financial soundness in household wealth accumulation.

• 월간 기계설비
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• s.263
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• pp.46-49
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• 2012

정부는 지난 5월 10일 '주택거래 정상화 및 서민 중산층 주거안정 지원방안'을 발표했다. 이번 지원방안은 주택시장 과열기에 도입했던 규제들을 정상화해 시장기능이 원활히 작동하도록 하는 한편 실수요자들의 내집 마련 지원을 확대하고 중소형 임대주책 공급 등 서민 주거안정을 강화하는 것이 핵심이다. 여기에는 $\bigtriangleup$강남 3구에 적용되던 투기지역 지정 해제 $\bigtriangleup$일반공공택지내 분양권 전매제한 기간 2년으로 단축 $\bigtriangleup$민영주택 재당첨 제한 사실상 전면 폐지 $\bigtriangleup$양도세 비과세 대상 주택보유기간 2년으로 단축$\bigtriangleup$2년 미만 보유주택에 부과하던 중과세 세율 부담 완화 등이 포함됐다. 또 자금지원과 중소 임대주택 공급확대를 위해 $\bigtriangleup$우대금리 보금자리론 지원대상 및 한도 확대 $\bigtriangleup$생애최초 주택구입자금 확대 $\bigtriangleup$동일인 대출보증 한도 증액 $\bigtriangleup$세대구분형 아파트 적용 범위 확대 $\bigtriangleup$2~3인용 도시형생활주택에 대한 주택기금 지원한도 증액 $\bigtriangleup$1대1 재건축 주택규모 제한 완화 등도 담겼다. 그러나 이번 대책에는 건설 부동산시장이 고대했던 DTI 규제 완환 방안은 가계부채 증가에 대한 우려 때문에, 취득세 추가 감면 조치는 지방자치단체 재정난에 대한 우려 때문에 포함되지 않았다.

• Land and Housing Review
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• v.14 no.3
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• pp.55-75
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• 2023

Based on prior studies on real estate policy, tax policy, and financial policy, this study examined how tax policy and financial policy affected real estate prices using monthly data from January 2014 to December 2021. We performed a VAR model using unit root tests, cointegration tests, as well as conducted impulse response analysis and variance decomposition analysis. The results are as follows. First, the tax regulation index and the financial regulation index had no discernible impact on housing prices. Specifically, a one-sided stabilizing regulatory policy was ineffective and, instead, led to unintended side effects, such as price increases resulting from reduced transaction volume. Secondly, mortgage rates had a negative impact on the housing sale price index. In other words, an increase in interest rates might led to a decrease in housing prices. Thirdly, an increase in the transfer difference, which involves capital gains tax, has a positive effect on housing prices. This led to rising housing prices because the transfer taxes were shifted to buyers, causing them to hesitate to make purchases due to the increased tax burden. Fourthly, both acquisition taxes and mortgage loans had relatively little impact on housing prices.

• Journal of the Korean Regional Science Association
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• v.39 no.1
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• pp.37-52
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• 2023

This study examined the effect of housing cost burden on the intention of moving into public rental housing. For the empirical analysis, I used the 2019 Korea Housing Survey and divided the households based on housing tenure and income level and they are as follows: homeowners, renters and low income, middle income and above. As analysis method, the binomial logit model is used and the empirical analysis shows that the burden of housing costs was increased the intention of moving into public rental housing even in homeowners and households with middle income or higher.

• Land and Housing Review
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• v.13 no.4
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• pp.13-26
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• 2022

This study analyzes housing choice determinants of the youth and newlyweds households by using housing survey data in Incheon. A multinomial logit model is employed for analysis with the following variables: housing characteristics, housing market characteristics, and residential and neighborhood environment characteristics. The findings from the analysis are as follows. First, for the continued residence of the youth, the important factors were the relief assistance of housing maintenance costs. For the newlyweds, the important factors were the quality improvement of residential environments to ensure residential stability. Second, the housing choice factors to attract the youth were residential support for rent, maintenance costs, and relocation, and the improvements of residential environments such as security, noise levels, and medical facilities. For the newlyweds, the important factors were housing loan assistance for a home purchase or a cheonsei deposit and residential quality improvements for air pollution and parking facilities. Third, the youth were likely to move out due to high rental costs, and the newlyweds were likely to move out for the purchase of a new apartment or higher-quality housing.

• 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.

• 주택과사람들
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• no.3 s.20
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• pp.33-36
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• 1992

[ ${\circ}$ ] 건설부는 성수기의 골재 부족 현상과 비수기의 골재생산업체의 경영난을 해소하기 위하여 골재비축계획을 마련하였음. -골재수요는 건설경기의 계절성으로 인하여 변동폭이 큰 반면 골재공급은 주문생산성 및 비탄력성으로 매년 성수기에 골재 부족현상이 나타나고 있으며 -골재생산업체는 비수기의 골재수요 감소로 조업의 중단 또는 단축이 불가피하여 유휴장비${\cdot}$인력의 발생으로 경영의 비효율성 초래 -따라서 비수기의 골재를 비축하므로서 ${\cdot}$ 골재수요를 창출하여 골재생산업체의 유휴장비와 인력의 활용이 가능하게 하여 경영의 어려움을 해결하고 ${\cdot}$ 비축골재를 성수기에 방출하여 골재부족현상에서 오는 골재가격의 상승과 부실공사를 방지하고자 함. ${\circ}$ 골재 비축 계획의 주요내용을 보면 -골재 비축자금 : 국민주택기금 100억원(연리 $10{\%}$ -비축자금 대여대상 : 1) 신도시 건설에 참여한 주택건설등록업자 중 현장에 배처플랜트 설치업체 2) 수도권 소재 KS 레미콘 생산업체 3) (주)한국골재산업 -자금대출공고 : ''91. 11. 25${\~}$''91. 11. 30(주택은행) -대상업체 선정 : ''91. 12. 1${\~}$''91. 12. 5(한국주택사업협회, 레미콘 공업협회 및 조합, (주) 한국골재산업이 상호 협의하여 결정) ${\circ}$ 예상 비축량은 매사 1,000천${m^{3}$로 동일조건 일괄공동계약 방식에 의해 12월${\~}$2월에 구매하여 5월${\~}$6월과 10${\~}$11월 성수기에 방출할 예정임.