• 한국주거학회논문집
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• 제26권1호
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• pp.109-118
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• 2015

The purpose of this research is to examine generational distinctions of housing investment and household wealth for two different age cohorts - 'baby-boomers' and 'eco-boomers'. In so doing, national survey data of two different periods were analyzed and the primary results are summarized as follows; aggregate assets of both generations have risen, and the rising household debt for baby-boomers was related to loans for living expenses while eco-boomer's debt was ascribed to home-buying loans. In the midst of economic slowdown, the age cohorts had conservative asset allocation in preference for risk-averting investment like savings. The main purpose of saving and investment was distinctive across the groups? retirement for baby-boomers and home purchase for eco-boomers. Both groups prioritized reduction of household liabilities and also were cautious on investing in real estate. Still home-buying was considered to be an important driver for asset accumulation. While baby-boomers were unwilling to dispose any form of owned real estate, eco-boomers found it challenging to take on a long-term investment like home-buying, especially in economic uncertainties. Rather the young generation would diversify asset allocation with better-returning investment commodities like stocks, bonds and derivatives.

• 한국전자통신학회논문지
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• 제8권2호
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• pp.301-306
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• 2013

아파트전세가율이 계속 상승하고 있다. 이런 현상으로 분석하기 위하여 아파트 매매가격과 전세가격의 상호작용을 지역별로 분석한 결과 다음과 같은 결론을 얻었다. 첫째, 지역별 아파트 매매가격과 전세가격의 상승과 하락 지역이 상이하여 나타나기 때문에, 지역적 양극화가 매우 심화되었다. 둘째, 최근 부동산시장은 지방 부동산의 호황과 수도권지역의 시장 침체로 분석되어, 전세가율은 계속 상승 중이었다. 마지막으로 아파트 전세가율 증감률은 전세가격 증가율이 매매가격 증가율보다 큰 경우는 전세가율 증감률이 (+)로 증가하였고, 적었을 경우는 (-)로 감소하였다.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.45-52
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• 2021

The capital structure is one of the hot financial topics among researchers and scholars. Its importance comes from the fact that capital structure is closely related to companies' ability to meet different stakeholders' needs. A suitable capital structure will boost the business and create a competitive advantage in the context of fierce competition. Many companies choose an optimal debt level based on the trade-off between interest and debt costs. This study aimed to test the existence of trade-off theory in capital structure, the case of Vietnam's real estate companies, which are growing very fast recently. Instead of considering constant optimal leverage to test the trade-off model, we take advantage of the dynamic capital structure determined by growth opportunities, profitability, tax incentives, tangibility, liquidity, and firm size. The dynamic panel data regression was estimated by the system Generalized Method of Moment (Sys-GMM). The empirical evidence showed that real estate companies listed in the Vietnamese stock market might change their leverage toward a target capital structure determined by influential factors in a long-term perspective. In particular, the debt-to-asset ratio will change by approximately 14 percent, positively, in response to the difference between the current debt-to-asset ratio and the dynamic target debt-to-asset ratio.

• 산경연구논집
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• 제13권12호
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• pp.23-31
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• 2022

Purpose: This research is to answer the following research questions because of the importance of learning how retired businesspeople increase their financial security and quality of life. (1) how does an entrepreneur contribute to economic development? (2) what types of investments are performed by businesspeople after retirement? (3) how entrepreneurial financial attainment capacity and anticipated net income after retirement are related? Research design, data and methodology: This research has conducted the qualitative analysis (QCA) using the current literature review. In the traditional positivist research paradigm, the quality of research is evaluated based on issues of validity, reliability, and objectivity. Contrary to the positivist approach, QCA focuses on the underlying meaning of the data. Results: This research found that finance management is increasingly challenging for businesspeople. The solutions based on the literature investigation suggest four categories. (1) Planned spending and revenue allocation, (2) Investing in the stock market, (3) Create a culture of saving, (4) Get Informed. Conclusions: This research puts forth a model to describe the connection between an investor's financial achievement potential and their desired net profits in retirement. The results of this study support the idea that the ability to achieve financial success as an entrepreneur has a salutary effect on the amount of money saved for retirement.

• 부동산연구
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• 제27권1호
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• pp.33-44
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• 2017

최근 중국은 부동산 가격이 급격히 상승하고 있으며, 인플레이션이 부동산 가격의 상승을 유발시킨다는 주장이 제기되고 있다. 따라서 본 연구에서는 2006-2014년의 중국 성별 패널 자료를 이용하여 인플레이션이 중국 부동산시장의 버블에 미치는 영향을 분석하였다. 분석방법은 정태 및 동태(static and dynamic) 패널 데이터 모델을 사용하였다. 본 연구의 분석결과, 인플레이션이 중국 부동산 버블형성의 주요 원인이며 중국 동부지역에서 그 영향이 더욱 뚜렷하게 나타남을 확인할 수 있었다. 우리는 더불어 중국부동산거품이 일정 정도 시장자체조정기제의 영향을 받았다는 흥미로운 현상을 발견했다.

• 융합경영연구
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• 제12권4호
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• pp.13-25
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• 2024

Purpose: Korea's construction industry has faced declining productivity and quality issues due to labor-intensive onsite construction and variables like weather, material price fluctuations, and labor shortages. The modular housing industry, introduced in Korea in 2003, offered benefits like reduced construction time and enhanced productivity through offsite manufacturing. However, its adoption remains limited due to high costs, quality concerns, and low consumer acceptance. Research Design, Data, and Methodology: This study explores the feasibility and impact of implementing smart factory technologies in the modular housing industry to overcome these barriers. Using survey data from 179 construction industry experts, the study employs frequency and regression analysis to identify key factors influencing the adoption of modular housing and the effectiveness of smart factories. Findings suggest that government-led educational programs and strong policy support are essential for successful implementation, enhancing productivity, reducing costs, and improving quality. Conclusions: The study emphasizes the need for standardization of modular housing, deregulation of relevant laws, and increased public awareness to stimulate market growth and innovation. Policy recommendations include financial support for modular manufacturers transitioning to smart factories, ensuring stable supply volumes, and promoting the benefits of modular housing to consumers. Integrating smart factory technologies can lead to significant advancements in the modular housing industry, contributing to the sustainable development and modernization of Korea's construction sector.

• Journal of Construction Engineering and Project Management
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• 제9권2호
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• pp.25-51
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• 2019

Green building certifications are being adopted widely, and existing research continues to show an array of benefits to stakeholders of green certified buildings. However, little attention has been paid thus far to the effects these buildings may have on their surrounding neighborhoods economically. This research examined the effect of LEED and/or Energy Star certification on the neighborhoods surrounding certified office buildings from an economic standpoint with spatial and statistical analyses. This research showed the unit market value of LEED and/or Energy Star certified office buildings and the parameters of LEED and/or Energy Star certification had statistically a positive impact on the median unit market value of their neighborhood areas. The findings can provide useful insights into the possibilities for additional economic benefits of their neighborhoods, encouraging a win-win approach that enhances the local real estate market.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.39-47
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• 2021

This research aims to confirm if the COVID-19 pandemic has had an impact on existing sectors, and how that affects the Indonesian Stock Exchange (IDX) market returns. The research method used is an event study employing market models in nine sectors of the Exchange with purposive sampling technique, and supported by Ordinary Least Square (OLS) regression. Based on the calculation of abnormal returns in the period of 30 days before up to 30 days after, the financial property, real estate, and construction sector results show a decreased abnormal return value. The infrastructure, utilities, and transportation sectors also show an abnormal return value that tends to be constant, while the abnormal return value increases in other sectors. Judging from the cumulative value of abnormal returns, the most affected sector is financials, followed by the trade, service, and investment sectors. The consumer goods and mining industry sectors are still optimistic, while other sectors show temporary negative sentiment. Overall, the stocks on the Indonesia Stock Exchange (IDX) were affected by the COVID-19 pandemic with a cumulative negative value of the average abnormal return sample. The results using OLS regression also strengthen the relationships between the COVID-19 pandemic, and negative and significant market returns.

• 디지털융복합연구
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• 제12권2호
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• pp.45-59
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• 2014

디지털경제를 맞이하여 지난 1980년대 중반 이후 부동산이 가장 선호하는 투자자산으로 부각되면서 많은 관심을 받아오고 있다. 부동산 중에서 주택가격의 상승과 하락은 가계 및 국가경제에 많은 비중을 차지하고 있다. 본 연구에서는 서울지역 아파트가격과 KOSPI, 건설주, 증권주, 금리, 환율 지표를 이용하여 지난 1987년 1월부터 2013년 8월까지 총 320개월 동안 월별 동향을 살펴보면서 서울지역 아파트가격과 각 지표와의 상관관계를 살펴보았다. 또한 서울지역 아파트가격의 상승과 하락에 어느 지표가 얼마나 영향을 주는지도 분석하였다. 상관관계 분석결과 서울지역 아파트가격과 KOSPI의 상관계수는 0.8566로 높은 양(+)의 값을 보여주었으나 반대로 금리는 -0.7846으로 강한 음(-)의 상관관계를 보여주었다. 주식시장의 상승은 서울지역 아파트가격 상승에 많은 영향을 주고 있으며 금리 하락은 서울지역 아파트가격의 가격상승으로 나타난다고 해석된다. 연구결과 서울지역 아파트가격은 KOSPI를 비롯하여 각 지표들과 통계적으로 유의한 관계를 유지하며 변동하고 있는 것으로 나타났다.

• 부동산연구
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• 제28권1호
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• pp.65-77
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• 2018

이 연구는 금융시장 빅데이터인 개인신용정보와 주택시장 빅데이터인 주택실거래데이터를 연계하여 LTV 뿐만 아니라 CoLTV 지표를 추정하여 임대차주의 상환위험을 분석하였다. 분석결과, LTV로만 상환위험을 파악하는 경우, 전세임대차주보다 월세임대차주의 상환위험이 더 컸으나, CoLTV를 이용하면 전세임대차주의 상환위험이 더 크게 나타났다. 이를 통해서 주택담보대출이 있는 전세의 임대차주의 상환위험이 높아, 임차인의 보증금에 손실이 발생할 가능성이 있으며 이를 위해 CoLTV지표를 통한 위험관리, 전세금반환보증과 같은 보증제도를 활성화할 필요가 있음을 밝혔다. 또한 임대계약의 특성과 차주의 개인 특성에 따라 임대차주의 상환위험에 미치는 영향이 다르게 나타남에 따라 임대차주의 개별적 특성을 충분히 고려해야 위험을 관리해야 함을 밝혔다. 이 연구는 개념적으로 논의되던 CoLTV를 금융빅데이터인 개인신용정보와 주택빅데이터인 주택실거래 정보를 결합하여 산출하였으며, 이를 통하여 임대차주들의 계약 및 개인적 특성별로 상환위험을 분석하고 시사점을 제시했다는 점에서 의의가 있다.