• 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.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.4
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• pp.515-528
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• 2010

This study analyzes the impacts of mixed-use development and transportation on housing values in Seoul, Korea. An index measuring the land use mix is proposed using three components of land uses, residence, office, and retail, which are the essential elements for everyday urban life. This index offers a relatively easy way in measuring the level of mixed-use and proves itself useful providing sensible and reliable results in this empirical study. Also surface and underground transportation accessibilities are measured. By covering both surface and underground, a comprehensive view of Seoul's transportation accessibility is provided. Finally, housing value models are constructed with developed variables, i.e. land use mix index and accessibility measures, as well as relevant socio-economic variables. The empirical outcomes verifies that mixed-use development and transportation accessibility positively affect housing values.

• 주택과사람들
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• no.27 s.44
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• pp.45-47
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• 1994

${\cdot}$ 한국토지개발공사는 전국 37개 택지개발사업지구에서 단독주택지 5,493필지(361,127평), 상업용지 및 업무용지 1,465필지(389,736평)을 수의계약의 방법으로 매각하고 있다. ${\cdot}$ 수의계약으로 매각하는 단독주택지를 매입하는 경우에는 주택공급에 관한 규칙 제 17조의 규정에 의한 아파트 재당첨금지 규정 (민영 5년, 국민 10년)이 적용되지 않는다. ${\cdot}$ 토지시장이 비수기이고 현재 토지가격이 부동산 경기의 침체국면에 있는 가격임을 고려할 때 실수요자에게는 유리한 상황이라 할 수 있다.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.20-29
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• 2006

Modeling urban climate caused by land use conversion is critical for human welfare and sustainable development, but has hampered because detailed information on urban characteristics is hard to obtain. With the advantage of satellite observations and the new statistical boundary system, this paper measures the economic and environmental effects of green area loss due to land use conversion in urban areas. To perform this purpose, data were collected from the various sources basic statistical unit data from the National Statistical Office, digital maps from the National Geographic Information Institute, satellite images, and field surveys when necessary. All data (maps and attributes) are built into the geographic information system (GIS). This paper also utilizes Landsat TM 5 imagery of Daegu city to derive vegetation index and to measure average surface temperature. The satellite data were examined using standard image processing software, ERDAS IMAGINE, and the results of the digital processing were presented with ARCVIEW(v.3.3). SAS package was used to perform statistical analyses. This study presents that there exists a strong relationship between land use change and climatic change as well as land price change. Based on results of the analysis, this paper suggests that planners should implement effective tools and policies of urban growth management to detect environmental quality and to make right decisions on policies concerning smart urban growth.

• Journal of the Korean Geographical Society
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• v.41 no.3 s.114
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• pp.267-282
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• 2006

Korea officially appraises and publicizes three different values of the land and buildings for the same lot. The values are assessed by the Ministry of Construction and Transportation, the Ministry of Government Administration and Home Affairs, and National Tax Service. A fundamental problem of this appraisal system is that the values of land and buildings are separately assessed, even though they are bought and sold as a single entity in the real estate market. In order to solve this problem, an alternative real estate assessment system should be developed by the central government.

• Korea Real Estate Review
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• v.28 no.1
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• pp.79-90
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• 2018

The purpose of this study was to estimate the pricing factors of residential lands in new cities by estimating the pricing model of residential lands. For this purpose, hedonic equations for each quantile of the conditional distribution of land prices were estimated using quantile regression methods and the sale price date of Jangyu New Town in Gimhae. In this study, a quantile regression method that models the relation between a set of explanatory variables and each quantile of land price was adopted. As a result, the differences in the effects of the characteristics by price quantile were confirmed. The number of years that elapsed after the completion of land construction is the quadratic effect in the model because its impact may give rise to a non-linear price pattern. Age appears to decrease the price until certain years after the construction, and increases the price afterward. In the estimation of the quantile regression, land age appears to have a statistically significant impact on land price at the traditional level, and the turning point appears to be shorter for the low quantiles than for the higher quantiles. The positive effects of the use of land for commercial and residential purposes were found to be the biggest. Land demand is preferred if there are more than two roads on the ground. In this case, the amount of sunshine will improve. It appears that the shape of a square wave is preferred to a free-looking land. This is because the square land is favorable for development. The variables of the land used for commercial and residential purposes have a greater impact on low-priced residential lands. This is because such lands tend to be mostly used for rental housing and have different characteristics from residential houses. Residential land prices have different characteristics depending on the price level, and it is necessary to consider this in the evaluation of the collateral value and the drafting of real estate policy.

• 주택과사람들
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• no.9 s.26
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• pp.160-167
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• 1992

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.3
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• pp.295-302
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• 2020

Disaster Preventing Zone (DPZ) is one of the zoning for land use regulation. Though the purpose of the designating of DPZs is to improve the area be safer, people has the negative recognition on DPZs. They think DPZs are regulation to restrict the actions and finally causes decrease on the land price. In this context, the aim of this study is to investigate the correlation between the designation of the DPZs and the land price of the DPZs in Seoul Metropolitan City. We applied the Difference in different (DID) which is one of the research methods to verify the cause and effect of specific policy. As a result, it was found statistically significant that land price of parcels designated as DPZs was 420,000 won higher than those not designated. The same results were obtained when the land characteristics were added, and the robustness of the model was indirectly confirmed. Based on the results, the designating of the DPZs was contrary to the expectation. Although it is necessary to analyze the result of the study more microscopically, It will be necessary to change the perception that it will decline.

• The Korean Journal of Applied Statistics
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• v.31 no.2
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• pp.217-228
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• 2018

Since the real estate reporting system was first introduced, about 2 million real estate transaction per year have been reported over the last 10 years with an increasing demand for real estate price estimates. This study looks at the applicability and superiority of the regression-kriging method to derive effective real transaction prices estimation on the location where information about real transaction is unavailable. Several issues on predicting the real estate price are discussed and illustrated using the real transaction reports of Jinju, Gyeongsangnam-do. Results have been compared with a simple regression model in terms of the mean absolute error and root square error. It turns out that the regression-kriging model provides a more effective estimation of land price compared to the simple regression model. The regression-kriging method adequately reflects the spatial structure of the term that is not explained by other characteristic variables.

• Proceedings of the Korean DIstribution Association Conference
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• 1997.07a
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• pp.141-161
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• 1997

1990년대 중반을 넘어서면서 성장둔화에 직면한 한국경제의 애로요인으로 인건비, 토지가격, 금리 등 생산요소 가격의 상승, 기술개발의 부족 및 물류애로에 따른 과다한 물류비의 부담 등이 지적되고 있다. 이 세 가지 요인 중에서 생산요소가격의 문제는 거시경제정책의 변수의 성향을 가지고 있으며, 기술개발에 대한 투자와 결실은 단기(Short-Run)에 해결되기는 곤란하므로 개별기업은 물론 정부를 포함하는 제 경제주체의 노력에 따라서 물류비용을 획기적으로 절감하고 그를 통해 국가경쟁력의 회복 또는 강화의 계기를 발견하고자 하는 노력이 다각적으로 펼쳐지고 있다. (중략)