• Asian Journal for Public Opinion Research
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• v.2 no.1
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• pp.8-14
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• 2014

The Chinese economic growth rate has been much higher than many countries of the world for many years now. Nowadays, China is experiencing significant economic transformation and structural adjustment. Its speed of development is slowing, and housing and commodity prices are slowly rising. Consequently, a series of economic and social problems have come into being. Under these circumstances, how satisfied are Chinese people on the seven aspects of daily living such as Housing Situation, Household Income, Health, Family Life, Food, Human Relations and Job? The Media and Public Opinion Research Center of Fudan University (FMORC) conducted a phone survey of 606 people living in Beijing, the capital and political and cultural center of China, and Shanghai, the Chinese economic center. The survey results show that the overall satisfaction of Chinese people with their daily life is high. The levels of Family Life and Human Relations are on the top, those of Food, Health and Jobs are listed from the third to the fifth, and satisfaction levels of their Housing Situation and Household Income are on the bottom. The satisfaction levels of males with their Family Life and Health are higher than those of females. Age has a significantly negative correlation with satisfaction with personal health. Monthly income has positive relationships with four aspects of daily life - house income, job, house situation, and family life. Owning a house in cities is another important factor that influences satisfaction with the house situation, house income, food, and family life. Shanghai residents also show higher satisfaction with their health than Beijing residents.

• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.411-420
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• 2015

With the rapid increase in the price of house lease, a unique housing form in Korea, a serious social issue has been raised as to the use value of house lease and residence stability of the ordinary people. This study thus aimed to analyze the direct factors that affect lease guaranteed loan and market volatility in order to explore the right direction of financial policy to reduce housing burdens. To this end, the direct variables affecting house lease guaranteed loan, including lease price, transaction price and lending rate, were defined. Vector Error Correction Model (VECM), a time series analysis, was employed to dynamically explain the data. Based on the house lease prices and bank data on loans between January 2010 and December 2014, it was found that the increase in lease price was the direct result of the increase in lease guaranteed loan, not that of the decrease in lending rate or increase in housing transaction price.

• Journal of Environmental Impact Assessment
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• v.20 no.5
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• pp.729-745
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• 2011

The purpose of this paper is to estimate the external diseconomies of an unwelcomed facility on the nearby houses. The facility and the area studied are Dangin-Ri power plant in Mapo-Gu, Seoul and the residential district surrounding it respectively. The nearby housing prices have been changed according to the time and circumstances of the public announcements about the reconstruction or removal plans of the plant. These price changes are regarded as the capitalized values of the external diseconomies due to the plant. This study is based on the hedonic price theory in order to estimate the diseconomies in monetary value. The tools for the estimation are four models of multiple regression with the transaction price as the dependant variable and various housing characteristics including the external effects of the plant as the independent variables. The sample analyzed is 833 house transactions for the past 5 years in the research area. The facts found are as follows; First, the most suitable functional form for the estimation is confirmed to be the linear model. Second, there are significant differences in influence on the housing values among the independent variables, that is, locational characteristics, physical features, and environmental changes with time. Third, the external diseconomy is estimated as \80,137,807 in case that the plant would be reconstructed in the underground of the present site, whereon a substitutional public park would be constructed and as \59,142,248 in case that the plant would move away.

• Economic and Environmental Geology
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• v.54 no.5
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• pp.505-513
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• 2021

Recently, housing prices in metropolitan areas is also increasing in the UK and Australia. Their governments are trying to solve this problem by the housing development in the quarry sites near cities. The cases reviewed in this study, Erith Hill Quarry (The Quarry), Plymstock Quarry, Lilydale Quarry (Kinley), and Bombo Quarry are the mixed-used development cases in the closed quarry sites through the urban planning system. In the UK, the local government uses the urban planning scheme such as the planning permit system, section 106. The local government permits the quarry site development on the condition that it provides necessary public facilities, such as schools and affordable housing for the local community. In Australia, local governments use up-zoning permission rights to convert land uses in quarries from industrial to mixed-use. Development plans have to include urban infrastructure and open space in addition to affordable housings. In the case of Australia, establishing a development plan in advance and filling the quarry pit with overburden through a phased development is expected to have the effect of reducing the project cost. Both countries think that developing brownfields, such as quarry sites, is a more sustainable and eco-friendly development from the perspective of future generations than developing new green fields. Such a perspective of the UK and Australia will be able to give policy implications for our slightly rigid urban development system.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2006.11a
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• pp.484-487
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• 2006

Today, the age of high oil prices is continued, due to the energy demand is on the increase and human principlal energy sorce, fossil fuel. As an alternative plan of energy saving, co-generation system that produces power and thermal energy at the same time has actively developed. In 1960s, co-generation system was introduced to Korea and since 2000 it has diffused throughout the apartment house. Therefore, objectives of this study are to analyze the energy reduction effects in the region 4 apartment houses of Daegu and Kyungbuk regionand set up a plan for its expansion in the future.

• Journal of the Korea Furniture Society
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• v.24 no.1
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• pp.88-103
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• 2013

Households of today tend to gradually change from a large household to a small one. The tendency starts from urban concentration of population with modern industrial society. Small-sized households have rapidly increased with the following three reasons: (i) one-person households with aging society, (ii) individualistic pursuit of happiness, and (iii) emergence of single households due to high prices and a decline in the quality of life. With these social changes, various products for small-sized households have been created and there have also been changes in dwelling patterns with small-size housing and one rooms increasing. Current small-sized living space has combined space of a living room, a bedroom and a kitchen, which makes a house compositive space. A bathroom, however, requires a differentiated suggestion from existing one since it is special space where water is used. Based on this issue, this study intends to present bathrooms in small-sized living space.

• East Asian Economic Review
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• v.21 no.3
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• pp.201-230
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• 2017

This paper studies the long-run behavior of relative price dispersion among cities in Korea with a special emphasis on heterogeneous transitional patterns of price level dynamics. Formal statistical tests indicate considerable evidence for rejecting the null of relative price level convergence among the majority of cities over the sample period of 1985-2015. The analysis of gravity model suggests that the effect of transportation costs on intercity price level differentials is limited, while other socioeconomic factors, such as income, input factor prices, demographic structure, and housing price growth, play key roles in accounting for persistent regional price level disparities. Individual price levels are found to be better explained by a multiple-component model, and the deviations from PPP may be attributed to distinct stochastic common trends that are characterized by income and demographic structure.

• 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.

• Korean Journal of Construction Engineering and Management
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• v.9 no.1
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• pp.87-95
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• 2008

The government wants to apply the construction cost estimating method based on historical data published in the first six months of 2004. Construction companies, however, require the proposed cost estimation model, to be improved which makes it difficult to predict a reasonable construction costs. This paper presents an improved historical data selection model after analyzing the problem of previous method throughout comparing contracted unit prices of reinforced concrete works selected by the previous model to market prices. The model which can select more feasible data would assist participates such as general contractors and sub-contractors to earn a proper profits.

• Smart Media Journal
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• v.11 no.3
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• pp.62-73
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• 2022

Researches on the prediction of domestic apartment sales price have been continuously conducted, but it is not easy to accurately predict apartment prices because various characteristics are compounded. Prior to predicting apartment sales price, the analysis of major factors, influencing on sale prices, is of paramount importance to improve the accuracy of sales price. Therefore, this study aims to analyze what are the factors that affect the apartment sales price in Gwangju, which is currently showing a steady increase rate. With 6 years of Gwangju apartment transaction price and various social factor data, several maching learning techniques such as multiple regression analysis, random forest, and deep artificial neural network algorithms are applied to identify major factors in each model. The performances of each model are compared with RMSE (Root Mean Squared Error), MAE (Mean Absolute Error) and R² (coefficient of determination). The experiment shows that several factors such as 'contract year', 'applicable area', 'certificate of deposit', 'mortgage rate', 'leading index', 'producer price index', 'coincident composite index' are analyzed as main factors, affecting the sales price.