• Korea Real Estate Review
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• v.27 no.1
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• pp.45-57
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• 2017

In this study, the factors influencing logistics warehouse price were analyzed using Hedonic price model. All the actual transaction cases of the logistics centers in Gyeonggi province for 10 years from 2006 to 2015 were investigated. In this hedonic model, statistically significant variables includes building, economic, investment and time characteristics. The analysis permits a better insight of price determinants of warehouse price. First, the purchase price of large size logistics centers is relatively high. Second, the indirect investment shows higher price due to active investment tendency. Third, Foreign investors with various know-how on investment are leading the selling price.

• The Journal of Society for e-Business Studies
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• v.14 no.3
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• pp.15-37
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• 2009

This study presents a new retrieval system developed to consider various preferential requirements for buyers in the real estate market. The paper analyses essential factors affecting the price of real estate and then a set of factors are classified by region-related factor and individual-related factor. After endowing the buyer's selected factors with weights in the retrieval system, the optimal solutions have been drawn by comparing with the others through an entropy measure of Multi-attribute Decision Making. This retrieval system is applied to the Busan real estate market to estimate the solutions of retrieval. Evaluation results indicate that the retrieval system can provide useful information to analyse the price determination factors of real estate, as well as to save the searching cost of the buyers.

• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.286-298
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• 2018

This study presents determinants of resettlement considering population, economy, residential environment, policy characteristic, proposes implications for increase of resettlement. The research method deducted determinants of resettlement by union groups using logistic regression, union members are divided to more 10 years group and under 10 years group focused on real estate ownership duration. The analysis results are summarized as follows. More 10 years group has higher age, neighborship, satisfaction about pre-sale price, inside region in redevelopment promotion project, satisfaction about increase of real estate price, the higher resettlement decision probability. Under 10 years group has higher satisfaction about increase of real estate price, satisfaction about pre-sale price, satisfaction about floor area ratio incentive, the higher resettlement decision probability. the political implications must be customized financial support considering economic situations and increase of asset value by real estate ownership duration.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.59-70
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• 2013

As people invest most of their asset in real estate, there is high interest in changing in housing and real estate prices in the future for a digital economy. Various variables are affecting the housing and real estate market. Among them, four variables : households, productive population, interest rate and index price are chosen and analyzed representatively. This study is aimed to build decision model of apartment prices in Seoul empirically. From the analysis result the stock index is the only variable which is significant statistically to apartments in Seoul. From this study, the households and productive population show the same direction as shown in the previous studies before but not significant statistically. Among the independent variables, the stock index is chosen as a major variable of determinant of Seoul apartment price. From the result of the research, prediction of stock market should be preceded to forecast the movement of housing and real estate market in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1198-1199
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• 2023

부동산 시장은 다양한 요인에 의해 가격이 결정되며 거시경제 변수뿐 만 아니라 뉴스 기사, SNS 등 다양한 비정형 데이터의 영향을 받는다. 특히 뉴스 기사는 국민들이 느끼는 경제 심리를 반영하고 있어 부동산 가격에 영향을 크게 미치는 변수라고 판단된다. 본 연구에서는 뉴스 기사의 세분화된 감정 분석을 통해 전통적인 분석 방법보다 더 의미 있는 결과를 얻을 수 있는 부동산 가격 예측 모델을 생성하였으며 뉴스 기사로부터 심리 지수를 산출하기 위해 생성 AI 를 활용하였다. 제안하는 매매가격지수 예측 모델을 통해 부동산 시장과 뉴스 기사와의 관계성에 대해 파악할 수 있으며, 사회/경제적 동향을 반영한 부동산 가격 변동을 예측할 수 있을 것으로 보인다.

• 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.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.10
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• pp.1553-1560
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• 2013

This study focused on the residential real estate market, real estate for sale in the course of the bargaining power of buyers in terms of factors to be extracted was determined. In addition to rental housing, including the number of buyers have several alternatives, the more related information, the buyers have advantage over the sellers in the course of the housing sale process. And if the external conditions and the situations between the parties have changed, how much flexibility to respond to changing and the less costs of to changing, the buyers have advantage over the sellers in the course of the housing sale process.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.121-129
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• 2016

The purpose of this study is to set a standard for sale prices of supplying apartment houses about decision factors in sale price of supplying apartment houses using Analytic Hierarchy Process. This is done by modeling decision factors in sale price of supplying apartment houses as hierarchy. According to the modeled hierarchy, the relative importance of supplying factors are determined using a survey of a group of real estate experts. In addition, through Analytic Hierarchy Process, the relative importance of phased sale prices of supplying apartment is analyzed in order to set a standard to estimate competitive sale prices of newly supplying apartment houses.

• Land and Housing Review
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• v.2 no.4
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• pp.367-377
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• 2011

This paper investigates the determination factors' variation of real estate price after sub-prime financial crisis, in korea, using a VAR model. The model includes land price, housing price, housing rent (Jensei) price, which time period is from 2000:1Q to 2011:2Q and uses interest rate, real GDP, consumer price index, KOSPI, the number of housing construction, the amount of land sales and practices to impulse response and variance decomposition analysis. Data cover two sub-periods and divided by 2008:3Q that occurred the sub-prime crisis; one is a period of 2000:1Q to 2008:3Q, the other is based a period of 2000:1Q to 2011:2Q. As a result, Comparing sub-prime crisis before and after, land price come out that the influence of real GDP is expanding, but current interest rate's variation is weaken due to the stagnation of current economic status and housing construction market. Housing price is few influenced to interest rate and real GDP, but it is influenced its own variation or Jensei price's variation. According to the Jensei price's rapidly increasing in nowadays, housing price might be increasing a rising possibility. Jensei price is also weaken the influence of all economic index, housing price, comparing before sub-prime financial crisis and it is influenced its own variation the same housing price. As you know, real estate price is weakened market basic value factors such as, interest rate, real GDP, because it is influenced exogenous economic factors such as population structural changes. Economic participators, economic officials, consumer, construction supplyers need to access an accurate observation about current real estate market and economic status.

• Korea Real Estate Review
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• v.28 no.4
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• pp.63-73
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• 2018

The purpose of this study is to identify the key factors affecting official land values and the appropriateness of the assessed land price, to find out what determines the real estate price and to assess the appropriateness of the valuation. This study explored whether actual transaction prices of forest land located in six Gu districts in southern and northern parts of Han river are appropriate using independent sample t-analysis and logistic regression analysis. Results showed that regional differences and shape were adequate for development restriction areas, whether biotope was designated, whether or not to be preserved, differences in pitch, and differences in use, and differences in bearing and approach. Thorough analysis of unique factors that determine forest land prices must be carried out in advance and the findings should be applied to the examination and assessment of official land values. The forest land appraisal system is closely related to the public's economic activity, thus it is necessary to apply forest land value determinants considered to be significant by market participants to the forestland appraisal system. I look forward to seeing variables related to the appropriateness of forest land transactions drawn from this study being used as indices for settlement of forest land transaction orders and market stabilization.