• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.83-91
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• 2021

Health is an outset of psychological, social, financial, and physical state. Several macroeconomic factors are entangled with health and mortality. Infant mortality and life expectancy are two keyguard on demographic research context on last few decades. On the other hand, foreign inflows play an unprecedent role for raising economic circulation and providing more opportunities to build a better society. The study aims to investigate the relationship between foreign direct investment (FDI), economic growth, and Bangladesh's health. This study employs time-series data from 1980 to 2018. Results show, with Auto-regressive Distribute Lag (ARDL) model, that there is significant cointegration among variables. Foreign investment and economic output relate significantly and positively to health. On the contrary, education is quasi-linked with a different sign-on different model. For model validation, pitfalls of time-series multicollinearity, heteroscedasiticy, and autocorrelation are not present. Also, CUSUM and CUSUMSQ tests are validating the model as stable and fit for future prediction. Medical assessment and education need more attention from the government as well as the private sector. FDI can play a catalyst role for improving the health sector, raising opportunity in educating and creating a better lifestyle. In order to optimize foreign investment, the government should implement necessary reforms and policies.

• Journal of the Korean housing association
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• v.20 no.2
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• pp.27-35
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• 2009

With the change of construction environment, the main body of construction industry was moved from project suppliers to consumers. Accordingly in order to strengthen competitiveness, project suppliers have to concentrate on marketing for diversification. Thus, it is required to utilize real estate marketing from the beginning of development project to introduce 'consumer-centered marketing strategies' instead of 'supplier-centered marketing'. This study aims to find out what consumers consider the most important factors when selecting apartment. According to the study, when residents select their apartment in residential area, they valued those attributes with investment, location, dwelling attribute, apartment complex attribute, unit price per square meter, in order. This result will contribute to qualitative improvement of housing development project.

• Journal of the Korean housing association
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• v.18 no.2
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• pp.11-20
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• 2007

The purpose of this study is to find the apartment Choice and Housing Satisfaction by the Housing Value Segmentation. Survey questionnaires were conducted on 1103 married women from three residential areas in Daegu. Data were analized by SPSS package program. Major findings are the following: Quality oriented type preferred environment oriented and multiple apartment. Safety investment type answered the bases of the information as of sales/model house, real estate office, oral information from relative neighbor. Ostentation negative type is dissatisfied for the present apartment were listed such as inconvenient inner structure and inner space, education environment for children, privacy protection, convenient transportation for the urban area. Convenience educational environment type is dissatisfied for the present apartment were listed such as inconvenient inner structure and inner space, anti sonic materials, education environment for children, privacy protection.

• Soft Computing and Machine Intelligence
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• v.1 no.1
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• pp.11-23
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• 2021

House price prediction is a significant financial decision for individuals working in the housing market as well as for potential buyers. From investment to buying a house for residence, a person investing in the housing market is interested in the potential gain. This paper presents machine learning algorithms to develop intelligent regressions models for House price prediction. The proposed research methodology consists of four stages, namely Data Collection, Pre Processing the data collected and transforming it to the best format, developing intelligent models using machine learning algorithms, training, testing, and validating the model on house prices of the housing market in the Capital, Islamabad. The data used for model validation and testing is the asking price from online property stores, which provide a reasonable estimate of the city housing market. The prediction model can significantly assist in the prediction of future housing prices in Pakistan. The regression results are encouraging and give promising directions for future prediction work on the collected dataset.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.195-204
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• 2015

This study analyzed the normalization cases of the mutual savings bank insolvency PF (MSBIPF) to suggest the appropriate improvements according to the purpose. The results were as follows. First, the original intention to normalize the MSBIPF was unsuccessful. This may be caused by the daunting situation of the real estate market along with the complex and shared interests. On the other hand, it can be responsible for the lack of evidence and related regulations as well as the lukewarm attitude on public projects. Active institutional settings are warranted to compensate the remaining insolvent businesses to PF even today and in the future. The data related to the recognized sites as the poorest 32 PF sites was compared primarily to normalize by KAMCO and the relevant sites. The area variable was the only significant variable according to the correlation analysis and logit analysis. The direct investment, diverse PF-backed bonds and the activation of the Ritz can be suggested as alternative ways of normalization with respect to the issue of the KAMCO.

• Journal of The Korean Digital Architecture Interior Association
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• v.10 no.1
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• pp.39-47
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• 2010

The officetel introduced into Korea in the mid-1980s has thus far been in the limelight as the object of investment for the substitute for small-sized housing and for lease income. But to raise the possibility of succeeding in officetel investment in the future, it has been necessary to make a systematic analysis of the changed direction of the officetel market and the profitability and stability of investment. Accordingly, this study attempted to analyze demand for officetel with a focus on the possibility of increase in the households composed of one or two members, the major consuming bracket of small-sized housing. And it attempted to analyze the possibility of investment in officetel as the investment goods for lease income due to the entry of Korea into aging society. And past analysis of investment in officetel was confined to profitability analysis, but this study sought to develop the stability indicator of the officetel for the analytical purpose. As a result, it is predicted that demand for small-sized housing will increase due to the increase in 1-to 2-person households. Accordingly, it is predicted that demand for officetel as the place of residence will come to increase. And taking into consideration the more serious degree of sustained aging in the population, older people's preference for real estate and need for lease income, it is predicted that preference for officetel as the object of investment will increase. An attempt was made to analyze the profitability and stability of investment in the metropolitan area which the officetel has principally been supplied, in order to analyze the profitability and stability of officetels. For the purpose of this study, Yeoksam-dong in Kangnam-gu, Yeoui-dong in Youngdeungpo-gu, Bongcheon-dong in Kwanak-gu were selected in Seoul as the area for analysis. Jung-dong in Wonmi-gu, Bucheon, Seohyun-dong in Bundang-gu, Seongnam, Janghang-dong in Ilsan-gu, Koyang were selected in Kyonggi province as the area for analysis. As a result, it was found that the small-sized officetel had higher profitability and stability than the large-sized officetel. It was found that the area of Kyonggi Province had the larger deviation by size. That is, it was found that the small-sized officetel in the area of Kyonggi Province was significant as the object of investment for stable lease income.

• Journal of Distribution Science
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• v.12 no.4
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• pp.31-39
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• 2014

Purpose - This study investigates the following two issues. First, we attempt to find the important determinants of housing investment and to identify their significance rank using survey panel data. Recently, the expansion of global uncertainty in the real estate market has directly and indirectly influenced the Korean housing market; households demonstrate a sensitive reaction to changes in that market. Therefore, this study aims to draw conclusions from understanding how the impact of financial strength of the household is related to house investment. Second, we attempt to verify the effectiveness of diverse indices of financial strength such as DTI, LTV, and PIR as measures to monitor the housing market. In the continuous housing market recession after the global crisis, the government places top priority on residence stability. However, the government still imposes forceful restraints on indices of financial strength. We believe this study verifies the utility of these regulations when used in the housing market. Research design, data, and methodology - The data source for this study is the "National Survey of Tax and Benefit" from 2007 (1st) to 2011 (5th) by the Korea Institute of Public Finance. Based on this survey data, we use panel data of 3,838 households that have been surveyed continuously for 5 years. We sort the base variables according to relevance of house investment criteria using the decision tree model (DTM), which is the standard decision-making model for data-mining techniques. The DTM method is known as a powerful methodology to identify contributory variables for predictive power. In addition, we analyze how important explanatory variables and the financial strength index of households affect housing investment with the binary logistic multi-regressive model. Based on the analyses, we conclude that the financial strength index has a significant role in house investment demand. Results - The results of this research are as follows: 1) The determinants of housing investment are age, consumption expenditures, income, total assets, rent deposit, housing price, habits satisfaction, housing scale, number of household members, and debt related to housing. 2) The impact power of these determinants has changed more or less annually due to economic situations and housing market conditions. The level of consumption expenditure and income are the main determinants before 2009; however, the determinants of housing investment changed to indices of the financial strength of households, i.e., DTI, LTV, and PIR, after 2009. 3) Most of all, since 2009, housing loans has been a more important variable than the level of consumption in making housing market decisions. Conclusions - The results of this research show that sound financing of households has a stronger effect on housing investment than reduced consumption expenditures. At the same time, the key indices that must be monitored by the government under economic emergency conditions differ from those requiring monitoring under normal market conditions; therefore, political indices to encourage and promote the housing market must be divided based on market conditions.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.6
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• pp.143-153
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• 2015

The purpose of this study is to analyze the relation between the housing value and residential satisfaction, housing' investment value, and also the effect the purchase intention. Recently it has been argued that the consumers' investment value can have influence on the housing market, however it is extremely rare to find research market. Through this study, influencing relationship on how the factors of housing value can affect the residential satisfaction and investment value is figured out. Last, in order to analysis the influencing relationship of purchase intention, the questionnaire for residents were conducted. The analysis is done based on 585 significant research materials gathered from the questionnaires. For analysis methodology, this research is using SPSS 21.0, AMOS 18.0, along with analytic techniques, such as implementation of basic statistical analysis, reliability, and structural analysis. Following is the results summary of the research: First, results of a factor analysis extracted four factors of housing value: residential quality factor, economic factor, brand factor, accessibility factor. Second, we find from the residential quality, brand of the housing value were statistically effect of the residential satisfaction and investment value. Finally, residential satisfaction and investment value had a positive influence on purchase intention. The result indicates the housing buyers' positive investment value and residential satisfaction increase the purchase intention in housing market. The better the housing buyers' investment value on the real estate market, the higher the market activity.

• Korean Journal of Construction Engineering and Management
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• v.14 no.1
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• pp.23-31
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• 2013

Following the U.S sub-prime mortgage crisis and a slump in properties market, the probability is rising that housing investment would not yield high profit as it used to do until early 2000s. For this reason, the nature of properties market is undergoing a change from a source of lucrative investment to a source of a relatively low but stable profit, such as profit-oriented real estate. This trend is likely to promote REITs market, which is a leading product for indirect investment. Until now, the REITs market has been growing slowly compared to a general housing market or financial markets. However, as the importance of risk management based on portfolio theories increases, stable profit generation of REITs can be effective in risk management. This study conducts an empirical analysis on how investment risks can be diversified by including REITs-a source of relatively stable profit in the equity market-in investment portfolio. The analysis results showed that, similar to food and beverage stocks of highly defensive nature, REITs has a relatively weak correlation with KOSPI that reflects the overall market performance. It also showed very low standard deviation in case of minimum variance portfolio. This suggests that including REITs in investment portfolio can be as effective as including food and beverage stocks for risk diversification. Due to uncertainties, investment always accompanies risks, and balancing potential profits and risks is essential.

• Environmental and Resource Economics Review
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• v.31 no.4
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• pp.801-824
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• 2022

Recently, United Nations found that 38% of global carbon emissions are generated in the building sector, surpassing other industries (32%) and transportation (23%), and ESG is actively used as a way to reduce carbon emissions in the building sector, led by overseas advanced countries. In Korea, as the National Pension Service announced "Consider ESG with more than 50% of investment assets" this year, the move to introduce ESG in the building sector is accelerating, centering on construction companies and asset management companies. However, as the domestic ESG evaluation system is still mainly focused on corporate governance and social responsibility, interest in the environmental sector is lagging behind that of advanced countries. As ESG in the building sector is expected to grow rapidly over the next 10 years, I would like to suggest the following development directions. The first is the expansion of the incentive system. In order for the government to successfully implement policies related to ESG in the building sector, incentive system such as tax reduction and building standards should be expanded further than now in addition to negative systems such as rent restrictions and punishment taxes due to regulatory violations. Second, standardized ESG standards are established. Rather than creating an independent Korean ESG standard that is far from global standards, it is necessary to organize the common parts of global standards and evaluation methods and create and provide guidelines in the form of standard textbooks that can be used equally by all stakeholders. Third, it is an effort to link ESG in the building sector with Digital Transformation(DX). This is because actual energy savings and carbon emission reduction can be realized only when the operation method of the building sector, which is operated mainly by manpower, is digitalized and converted to an intelligent way.