• 한국전자통신학회논문지
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• 제5권4호
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• pp.464-470
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• 2010

부동산 거래는 본원적으로 인간과 부동산과의 조화 및 관계개선이 요청되는 것이나 거래과정에 따라서 불의의 거래사고가 발생하여 오히려 그 관계가 악화되는 경우가 많다. 우리나라 부동산 거래관행은 부동산 거래와 관련해 체계적인 도움을 받기 매우 어렵고, 부동산을 거래하면서 필수적으로 검토해야 하는 권리관계 역시 세밀하고 정확하게 분석하기에는 한계가 있을 수밖에 없다. 따라서 부동산 거래로 인한 피해예방 및 손해배상제도를 보완하고, 중개거래활동에 있어 현재의 부동산 중개제도의 문제점을 해소하기 위해서 부동산 거래사고의 근본적인 원인중의 하나로 지적되는 공인중개사제도의 질적향상과 전문성을 제고할 것을 제안한다.

• 한국정보시스템학회지:정보시스템연구
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• 제29권3호
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• pp.119-144
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• 2020

Purpose Real estate usually takes charge of the highest proportion of physical properties which individual, organizations, and government hold and instability of real estate market affects the economic condition seriously for each economic subject. Consequently, practices for predicting the real estate market have attention for various reasons, such as financial investment, administrative convenience, and wealth management. Additionally, development of machine learning algorithms and computing hardware enhances the expectation for more precise and useful prediction models in real estate market. Design/methodology/approach In response to the demand, this paper aims to provide a framework for forecasting the real estate market with machine learning algorithms. The framework consists of demonstrating the prediction efficiency of each machine learning algorithm, interpreting the interior feature effects of prediction model with a state-of-art algorithm, LIME(Local Interpretable Model-agnostic Explanation), and comparing the results in different cities. Findings This research could not only enhance the academic base for information system and real estate fields, but also resolve information asymmetry on real estate market among economic subjects. This research revealed that macroeconomic indicators, real estate-related indicators, and Google Trends search indexes can predict real-estate prices quite well.

• 유통과학연구
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• 제18권10호
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• pp.101-110
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• 2020

Purpose: The study investigates the implementation of corporate social responsibility (CSR) in the real estate sector of the UAE by collecting the opinions of both the real estate companies and different tenants on the execution of CSR. Research design, data, and methodology: Using a sample of 300 different types of UAE real estate consumers and twenty real estate firms, the researchers collected the opinions of targeted subjects by administering two types of questionnaires. The Cronbach's Alpha and the Kaiser-Meyer-Olkin (KMO) tests were employed to check the internal consistency and validity of the questionnaires. The selected hypotheses were tested using the Kruskal-Wallis (K-W) hypothesis testing technique. Results: The findings revealed that all types of UAE real estate consumers expressed their discontentment over the implementation of socially responsible actions by the real estate companies. Whereas UAE real estate companies expressed their confidence in the ideal implementation of social actions towards all stakeholders in general and tenants. Conclusion: Even though more than 50 percent of realty customers are dissatisfied with the company's implementation of CSR, a little over 54.80 percent are willing to recommend the company to their family and friends. Implications have been provided for UAE real estate companies who wish to promote their business to all categories of UAE real estate consumers successfully.

• The Journal of Asian Finance, Economics and Business
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• 제6권1호
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• pp.121-128
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• 2019

This study analyses the relationship between the real estate market and economic growth in Vietnam, a country with a fledgling real estate market. Research data included economic growth rate and growth rate of the real estate market in Vietnam. The research used quarterly data for the period from 2005: Q1 to 2018: Q1. With the characteristics of Vietnam, there has been no real estate index up to now; therefore, the research used data on growth rates of the real estate market. In addition, the real estate market in Vietnam is still young, so the data series is very short, which is a limitation of this research. With qualitative and quantitative methods especially with the Vector Auto Regressive (VAR) model; the results of the study indicate new findings, unlike previous studies, including: (1) The real estate market positively impacts Vietnam's economic growth, most noticeably in the second quarter lag and the fourth quarter lag, and then its trend impacts inversely; (2) The real estate market and economic growth in Vietnam have fluctuated over time with many risks that are affected by the past shocks of these factors. From these findings, we proposed some managerial implications for managing the real estate market with economic growth in Vietnam sustainably.

• 지역연구
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• 제15권3호
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• pp.33-51
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• 1999

After the 1997 currency crisis, the real estate prices had been rapidly dropped and the deregulation in the Korean real estate merket has been performed. It is analyzed whether these transactions caused a structural change in real estate market, or not. The Pettitt test shows there exists a turing point in real estate prices in 1998. It is found that the degrees of co-movement between the change in real estate prices and real GDP growth rate are increased. Consequently, the factor, represented as real GDP growth rate, determining the market fundamental of real estate prices will effect on the behavioral pattern and the real estate prices in the long run. While the factors determining the portfolio selection behaviors, such as interest rate and stock prices, will cause short-term variations.

• 유통과학연구
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• 제4권2호
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• pp.123-144
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• 2006

국민의 재산권 보호를 위하여 부동산거래의 불확실성 해소와 신뢰성 확보는 매우 중요하다. 생활양식의 변화에 따라 부동산시장은 다양화되고 부동산거래의 수준도 다양화되는데 비하여 부동산거래제도는 아직도 과거의 틀을 벗지 못하고 있다. 이에 능동적으로 대처해 나가기 위해서는 부동산 거래방식에 대한 재검토가 필요하며, 특히 현재의 중개계약방식을 선진화할 수 있는 방안을 검토할 필요가 있다. 전속중개계약과 부동산거래정보망제도는 이미 미국, 일본 등의 여러 선진국가에서 보편화된 제도이며 부동산중개업의 거래질서를 확립하고 부동산중개의뢰인의 재산권 보호 및 편익제공을 위해 권장 실시되고 있는 제도이다. 우리나라에서는 1993년 12월에 개정된 부동산중개업법에서 전속중개계약과 부동산거래정보망제도가 신설되었다. 그러나 여러 가지 문제로 말미암아 10여년이 지난 현재까지도 제대로 제도 정착이 안 되고 있는 실정이다. 이에 본 연구에서는 전속중개계약 및 부동산거래정보망제도 활성화에 대한 특성요인을 개발하여 요인별 상관관계를 살펴보고, 이러한 요인이 중개기능의 제고와 부동산중개업자의 신뢰성, 고객만족에 미치는 영향을 실증분석을 통하여 고찰하였다. 이를 바탕으로 현재 존재가치가 유명무실한 우리나라의 전속중개계약 및 부동산거래정보망제도에 대한 활성화방안과 정책적 시사점을 제시하였다.

• 한국전자통신학회논문지
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• 제8권3호
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• pp.479-486
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• 2013

본 연구는 부동산 구매의사자인 일반인과 중개업소가 중개업자의 인터넷 부동산 거래에 관한 사항과 선호도 및 신뢰도 등을 중심으로 설문지를 작성하여 조사 분석한 결과 첫째, 인터넷을 활용한 마케팅의 장점을 이론적으로 고찰한 결과 편의성, 신속성, 용이성 등으로 나타났다. 둘째, 인터넷을 활용하여 부동산 구매를 고려하는 직업 분류 중 회사원이 가장 높게 나타났다. 셋째, 가장 많이 이용하는 인터넷사이트는 부동산114, 부동산뱅크, 부동산닥터, 스피드뱅크 등의 순으로 나타났다.

• Asian Journal of Business Environment
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• 제12권1호
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• pp.25-33
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• 2022

Purpose: The purpose of this paper is to determine the effects of the Real Estate Transactions Tax (RETT) on the economic cycles of Saudi Arabia. A secondary purpose is to determine the effects of RETT on the construction and real estate sectors of Saudi Arabia. Research design, data and methodology: The data used is retrieved from the General Authority of Statistics, Saudi Central Bank and the World Bank Open Data. Econometric models of multiple linear regression with dummy variables have been conducted to achieve the objectives and to quantitatively verify the hypotheses. Results: With the VAT exemption in real estate transactions and its substitution with RETT, a positive effect on the economy and the real estate sector has been observed. However, this tax reform has not produced any significant effects in the construction sector. Conclusions: The main conclusion of the present research is that the real estate market has a major influence on economic cycles. After the tax reform, a reduction in the contribution of taxes on real estate transactions to GDP was detected. For the construction sector, after the tax reform, it is estimated that there will be an insignificant reduction in the contribution of the real estate price index, and of the taxes on real estate transactions, to GDP.

• 한국주거학회논문집
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• 제15권4호
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• pp.45-54
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• 2004

This study systematized synthetically to use internet GIS and real estate appraisal method in computing system for the real estate decision. First, indicated the method of using GIS and databases to appraise the real estate by using the cost approach. Second, used the artificial neural network to predict the change of land prices and the artificial neural network convinced us that it indicates easily the result of land prices without complicated processes. Third, examined land prices using the artificial neural network but there is limits for the land price prediction because of difficult data gathering. also, this study may heighten information levels of the real estate field according to 21th century information level if use actively a internet, information users who should pay much moneys in existent real estate decisions may can approach easily.

• 한국IT서비스학회지
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• 제12권2호
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• pp.73-84
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• 2013

The development of the information on the internet brought a lot of changes in the real estate market. Because the real estate has local distinctiveness and individuality household who want to move must to visit place for housing information. But now household use internet real estate information at every decision-moving step and that is able to reduce not only the cost of real estate information but also social benefit like $CO_2$ emissions reduction effect. In this study, I analyzed the effect of $CO_2$ emissions reduction with Seoul household residential mobility data when household take informations from internet real estate site. As increasing a single family who is good at internet service, the effect of $CO_2$ reduction from the development of the Internet real estate information has more increased.