• Journal of Korean Society of Rural Planning
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• v.21 no.1
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• pp.9-17
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• 2015

The purpose of this study was to analyze the preferences for the physical features of senior congregate housing. The survey was conducted to target the elderly households living in senior congregate housing and general elderly households living in the rural. The results of this study were as follows. Showed that housing conditions are more important than environmental conditions, elderly households living in senior congregate housing. Among them was the most important house prices and rents. Also among the external factors such as environmental conditions is the distance to the workplace were very important. So the elderly households living in congregate housing showed that more important considering the economic aspects. Finally, want to be the foundation of sustainable housing policies for rural elderly households.

• 중국학논총
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• no.72
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• pp.179-200
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• 2021

This paper examines the current status of the Korean tea culture industry and explores ways to restore and develop Korean tea culture by referring to the responses of the neighboring countries of China. In order for the Korean tea industry and tea culture to expand, based on a strong tea industry, high-quality tea should be created to satisfy consumers' needs, health, convenience, and reasonable prices, and effective promotion and marketing should be carried out. In addition, it is necessary to reinterpret the traditional tea house and inherit the spirit of tea.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.27-29
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• 2023

불안정한 부동산 가격은 지속적인 사회 문제로 거론되고 있는데 이는 부동산 매매 가격을 예측할 수 있는 정확한 지표가 체계적이고 구체적으로 확립되지 않았기 때문이다. 본 논문은 가격변동에 주요하게 영향을 미치는 특성을 파악하여 가격 예측 지표로 활용하기 위해 머신러닝 모델을 적용하여 특성 분석을 수행한다. 이를 위해 한국부동산원에서 제공하는 2021년 10월부터 2022년 9월까지 1년간의 역 주변 500M 이내 거래 데이터 약 30만 6천 개를 어떠한 과정으로 전처리하여 머신러닝 모델에 적용하였는지 기술한다.

• Journal of the Korean Geographical Society
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• v.43 no.3
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• pp.392-411
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• 2008

The purpose of this paper is to develop a method for exploring hotspot patterns of house price volatility where there is a high fluctuation in price and homogeneity of direction of price volatility. These patterns are formed when the majority of householders in an area show an adaptive tendency in their decision making. This paper suggests a method that consists of two analytical parts. The first part uses spatial scan statistics to detect spatial clusters of houses with a positive range of price volatility. The second part utilizes local Moran's I to evaluate the homogeneity of direction of price volatility within each cluster. The method is applied to the areas of Gangnam-Gu, Seocho-Gu, and Songpa-Gu in Seoul from August to November of 2003; the Participatory Government of Korea designated these areas and this period as the most speculative. The results of the analysis show that the area around Gaepo-Dong was as a hotspot before the Government's anti-speculative 10.29 policy in 2003; the house prices in the same area stabilized in October, 2003 and the area was identified as a coldspot in December, 2003. This case study shows that the suggested method enables exploration of hotspot of house price volatility at micro spatial scales which had not been detected by visual analysis.

• Korean Journal of Environmental Agriculture
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• v.38 no.3
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• pp.124-132
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• 2019

BACKGROUND: Silver grass (Miscanthus sinensis) No. 1 was developed for production of bio-ethanol, and for the purpose the silver grass growing sector was established in Geumgang basin, Iksan, Jeonbuk, in 2011. However, the other application potentials except for using as the bio-energy resources should be considered because of the drop in international oil prices. Therefore, there is the necessity of a scientific basis to use the silver grass instead of rice straw as the organic matter source that is used for improvement of soil quality in the plastic film house. METHODS AND RESULTS: The silver grass was applied at 5, 10, 15 and 20 Mg/ha and tilled before the watermelon was planted in the plastic film-house. The control plot was treated with 10 Mg/ha with rice straw, and watermelons have been cultivated for 3 years(2017~2019). Soil aggregation, soil chemistry, and the growth characteristics were investigated, when the watermelon was harvested every year. Soil aggregation levels at the 2nd and 3rd year of watermelon harvest were similar from the plot applied with the silver grass at 5 Mg/ha and the control plot, and increased in the silver grass treated plots with more than 10 Mg/ha. However, there was no statistically significant difference between the plots. The nitrogen mineralization of silver grass in the control plot tended to be similar to the 5 Mg/ha plot, but the silver grass treated plots with over 10 Mg/ha showed low nitrogen mineralization. Soil EC on harvest stage was proportional to the applied mass of the silver grass, but pH was in inverse with the applied mass. Soil organic matter content, available phosphate, and exchangeable cations increased with the continued use of silver grass. Watermelon weight found to be the best on more than 15 Mg/ha of silver grass, and the sugar content was highest when 10 Mg/ha was treated. CONCLUSION: The use of the silver grass at 10 Mg/ha annually as the organic source was effective in replacing rice straw while growing fruits and vegetables on the plastic film house.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.518-527
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• 2016

The housing market is changing continuously according to the place and time and these changes have a ripple effect across various fields. On the other hand, the amount of housing that is consumed in the region also acts as a central cause of price movement. Moreover, the cause of variations in the housing market can be separated according to the characteristics of the housing consumer. In addition, the individual characteristics of the consumer varies according to the region. As a result, a study on the regional causal relationship of the housing market is underway. Although significant research has been done on the domestic home sales market, there has been limited research on the housing charter market. Therefore, in this paper, regional causal relationship of the housing market in the Gangnam and Gangbuk area in Seoul and Gyeonggi Province was analyzed using the vector error correction model, and is segmented by housing sale market and housing jeonse market. In addition, housing sale and housing jeonse of Gangam, Ganbuk and Gyeonggi province are defined as analysis variables, and time series data is the monthly material of June 2003 to November 2015. The results of the analysis, in the case of the housing sale market, showed that fluctuations in house prices in Gangnam area have a major influence on the fluctuations in house prices in the surrounding region. Similarly, in the case of the housing jeonse market, it was found that the jeonse price of Gangnam area has a significant impact on the jeonse price of housing in the surrounding area.

• Korean Journal of Construction Engineering and Management
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• v.18 no.6
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• pp.47-56
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• 2017

As of 2017, there are 848 million households living in apartment and 55.87% of Aged apartments over 15 years old. The allowable standard for remodeling the apartment is more than 15 years and the market for remodeling the apartment will continue to increase. For the success of the remodeling project feasibility analysis is important but the existing feasibility analysis of new construction and reconstruction is being used for remodeling feasibility analysis. Therefore, it is necessary to study the feasibility analysis of customized remodeling without increasing the number of households according to the building law. Purpose of this paper is to develop a feasibility analysis methodology for customized remodeling projects by deriving the factors affecting the formation of land prices and building prices in apartment. According to the concept of price formation of the apartment, the analysis method of the customized remodeling of the old apartment using the factors affecting the Land Price Indexes, Officially Assessed Individual Land Price, House Price Indexes, and Officially Assessed Individual House Price was suggested. The Stair Price Algorithm developed in this research can be utilized at the stage of selecting remodeling contractors after the remodeling housing association is established.

• Asian-Australasian Journal of Animal Sciences
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• v.23 no.7
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• pp.848-854
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• 2010

The objectives of this study were to estimate genetic parameters for the carcass price and carcass traits contributing to carcass grading and to investigate the influence of each carcass trait on the carcass price using multiple regression and path analyses. Data for carcass traits and carcass prices were collected from March 2003 to January 2009 on steers of Korean cattle raised at private farms. The analytical mixed animal model, including slaughter house-year-month combination, linear and quadratic slaughter age as fixed effects and random animal and residual effects, was used to estimate genetic parameters. The effects of carcass traits on the carcass price were evaluated by applying multiple regression analyses. Heritability estimates of carcass traits were $0.20{\pm}0.08$ for carcass weight (CWT), $0.33{\pm}0.10$ for back fat thickness (BFT), $0.07{\pm}0.05$ for eye-muscle area (EMA) and $0.25{\pm}0.10$ for marbling score (MS), and those of carcass prices were $0.21{\pm}0.10$ for auction price per 1 kg of carcass weight (AP) and $0.13{\pm}0.07$ for total price (CP). Genetic correlation coefficients of AP with CWT and MS were $-0.35{\pm}0.29$ and $0.99{\pm}0.04$, respectively, and those of CP with CWT and MS were $0.59{\pm}0.22$ and $0.39{\pm}0.29$ respectively. If an appropriate adjustment for temporal economic value is available, the moderate heritability estimates of AP and CP might suggest their potential use as the breeding objectives for improving the gross incomes of beef cattle farms. The large genetic correlation estimates of carcass price variables with CWT and MS implied that simultaneous selection for both CWT and MS would be also useful in enhancing income.

• The Journal of the Korea Contents Association
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• v.13 no.7
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• pp.432-439
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• 2013

In this study, we evaluate the volatility of housing prices by using literature review and empirical analysis and furthermore we suggest how to improve. In order to diagnose housing market, the KB Bank's House Price Index, Real estate 114;s materials were compared. In addition, to examine the volatility, GARCH (Generalized Autoregressive Conditional Heteroskedasticity) and EGARCH (Exponential GARCH) model are used. By analysis of this research, we found the volatility of housing price also was reduced in the medium and the large houses since 1998, while the volatility of small housing price relatively was large. We proved that the price change rate of small housing was higher than the medium's. On the order hand, the supply of small apartments fell down sharply. The short-term oriented policy should be avoided, and the efficiency and credibility of policy should be increased. Furthermore, the long-term policy system should be established. and rental market's improvement is necessary for stabilization of housing market.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.13-19
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• 2021

The purpose of this study is to find a reasonable solution that is compatible with the government's policy on calming the overheated housing market and the needs of prospective home buyers. For this purpose, this study analyzed the current state of the housing market and looked at the root cause of the people's desire to purchase housing. And this study suggested the need to introduce a super-long-term mortgage system that can help people choose whether to own or rent a house in accordance with individual preferences. The super-long-term mortgage system would be useful in that the majority of people who currently use mortgages prefer long-term loan products and that it could provide a chance to "get their own homes" by easing the monthly repayment burden for those who want to have homes. If the system is introduced in the future, it is necessary to make efforts for stable operation such as risk-hedge. In particular, the government should apply a limited application to end-users so that they can curb rising housing prices and contribute to stabilizing housing prices.