• 대한수학회지
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• 제33권1호
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• pp.25-29
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• 1996

The Debreu-Gale-Nikaido theorem [2] is a potential tool to prove the existence of a market equilibrium price. Walras' law is of a quantitative nature (i.e. it measures the value of the total excess demand), and it is interesting to note that the existence result holds true under some qualitative assumptions. In fact, the Debreu-Gale-Nikaido theorem states that the continuity of the excess demand function and Walras' law has the following implication : For some price and corresponding value of the excess demand function, it is not possible to respond with a new price system such that the value at the new price of every element in the value of the demand function associated with the old price system is strictly positive.

• 실천공학교육논문지
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• 제11권2호
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• pp.239-249
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• 2019

현재 직업능력개발훈련에 대한 재정 지원은 NCS 직종 분류에 따라 설정된 NCS 기준 단가에 따라 집행되고 있다. 이러한 기준단가 제도는 훈련분담금-지원금 제도가 운영되는 경우 그에 필요한 행정 부담을 경감시켜주는 장점을 갖고 있다. 본 논문에서는 현재 NCS 기준단가가 훈련과정별 수강료를 기준으로 함에 따라 직업훈련 정책의 사회통합적 기능을 왜곡시킬 수 있음을 지적하였다. 앞으로 합리적 개선 방안 모색을 위한 기초로서, 훈련기관에서 책정하는 훈련과정별 수강료에 어떤 요인들이 영향을 미치는지 분석하였다. 그 결과 실제로 훈련기관의 독점적 성격이나 훈련참여자의 높은 지불의사가 수강료에 영향을 미침을 확인할 수 있었다. 따라서 향후 정부의 직업능력개발훈련에 대한 재정지원에서 이러한 영향을 제거하고 실제 훈련공급비용에 가까운 지원이 이뤄지도록 함으로써 훈련정책이 사회적 통합성 제고에 기여하도록 해야 할 것이다. 더 나아가 근본적으로 모든 훈련과정의 정확한 훈련공급비용을 보전해 줄 수 없다면 정부의 정책적 판단을 중심으로 하는 지원 기준 마련이 필요하다.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.347-357
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• 2022

The aim of the study is to model demand for full-time Bachelor's Degree Programs in Hospitality and Catering, taking into account the influence of the main determinants in the COVID-19 pandemic. The research used methods of algorithms, correlation and regression analysis, ANOVA, graphical method, deduction and induction, abstraction, etc. It was found that the demand for full-time Bachelor's Degree Programs in Hospitality and Catering is price elastic. It has been argued that it is useful to consider both price and non-price determinants when modelling demand for full-time Bachelor's Degree Programs in Hospitality and Catering. It is proved that the main determinants of demand for full-time Bachelor's Degree Programs in Hospitality and Catering are full-time tuition fee, maximum government order, license volume and Consolidated Ranking of a higher education institution (HEI). In this case, the applicant decides to enrol in a full-time Bachelor's Degree Program in Hospitality and Catering, guided by the optimal ratio of tuition fee and the prestige of the HEI.

• 한국의류산업학회지
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• 제15권4호
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• pp.543-553
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• 2013

This study analyzes the influence of price, product and promotion on clothing impulse buying according to internet shopping mall type. This study conducted a survey of 346 male and female consumers in their 20s-40s who have experienced clothing impulse buying from an internet shopping mall. Respondents were selected using convenience sampling through an online survey conducted in August 2012. For statistical analysis, descriptive statistics, reliability analysis, $X^2$-test, factor analysis, and regression analysis where carried out using SPSS for Windows 12.0. The results were as follows. First, there were significant differences for consumer gender, age, marital status, and education on clothing impulse buying according to shopping mall type. Second, there were differences for the influence of each component (price, product and promotion) on clothing impulse buying according to shopping mall type. Third, it was identified that influence of components (price, product and promotion) on clothing impulse buying were in the following order: low price, freshness, prize promotion, scarcity, open market price discount, prize promotion, freshness, fashionability, low price in general shopping malls, payment term benefit, freshness, and scarcity in fashion SOHO shopping malls. This study provides information for consumer management and promotion strategies according to each shopping mall type by understanding clothing impulse buying by consumers and factors according to shopping mall type.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제26권1호
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• pp.23-48
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• 2022

In this paper, we provide predictive models for the market price of fruits, and analyze the performance of each fruit price predictive model. The data used to create the predictive models are fruit price data, weather data, and Korea composite stock price index (KOSPI) data. We collect these data through Open-API for 10 years period from year 2011 to year 2020. Six types of fruit price predictive models are constructed using the LSTM algorithm, a special form of deep learning RNN algorithm, and the performance is measured using the root mean square error. For each model, the data from year 2011 to year 2018 are trained to predict the fruit price in year 2019, and the data from year 2011 to year 2019 are trained to predict the fruit price in year 2020. By comparing the fruit price predictive models of year 2019 and those models of year 2020, the model with excellent efficiency is identified and the best model to provide the service is selected. The model we made will be available in other countries and regions as well.

• Architectural research
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• 제9권2호
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• pp.27-35
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• 2007

Our nation has a problem with discrimination of income distribution and inefficient of resources distribution caused by real estate price rising from a sudden economy growth and industrialization. Specially, in recent years, there is a great disparity of apartment price between the north and south of the Han river. Because the housing price is decided by the immanent value of a house and neighborhood effects of the regional where the house is situated, the housing price is occurred difference. The purpose of study was to analyze the influence of various factors of housing price. Also, this study tried to predict real estate market and to establish previous effective real estate policy. In this study, we analyzed the differences of housing price determinants about apartment developments between the north and south of the Han river, and found the important factors that affect the housing price using Structural Equation Modeling(SEM). As a result of this study, the older the buildings are, the more the housing price and the housing price rising ratio have increased, in Gang Nam area. This reason is that these have large possibility to be reconstructed and many convenient facilities, in this area. In the case of Kang Buk area, the increase rate of housing price are so low that they couldn't take effect on the housing price and they were declined. So to speak, constructing the infrastructure which takes effect on the increase rate of housing price is very urgent.

• Journal of the Korean Data and Information Science Society
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• 제25권1호
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• pp.65-76
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• 2014

주택가격은 정부의 부동산 정책이나 국내외의 경기상황과 같은 외부충격요인에 따라 많은 영향을 받는다. 본 연구에서는 주택가격지수 예측을 위한 모형구축에서 중요한 요인은 외부충격요인으로 이를 개입효과라 하며, 이 외부요인들이 주택가격지수에 미치는 영향을 파악하고 향후 주택가격지수를 효율적으로 예측하기 위한 시계열모형을 찾는데 있다. 실제 자료를 이용하여 분석한 예측결과 개입모형이 다른 모형에 비해 우수한 것으로 나타났다.

• 지역연구
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• 제12권2호
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• pp.59-68
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• 1996

Common belief in border regions holds that Mexican cross-border shoppers play a larger role in the regional economic base than they do and that NAFTA will provide a bigger stimulus to the regional economy than it is likely. In the regional economy than it is likely. In the first case, price elasticities are implicitly underestimated as highly inelastic and in the latter case, overestimated as highly elastic. This paper provides empirical evidence on the effects of distance and real exchange rates as price proxies on both field survey and population-imputed estimates of cross-border shopping. After estimating both distance-based and real exchange rate-based estimates of price elasticities of Mexican shopper demand for U.S. border-region goods, implications are obtained concerning the relative importance for U.S. border-regon economies of more distant Mexican markets, and the likely impacts of NAFTA.

• 경영과정보연구
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• 제25권
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• pp.321-337
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• 2008

The house price rise suddenly is not only Economic stability but economic, mental state of a heavy burden to people. This paper is a house finance environment analyzed in this research about the rise factor of the house price and the result to present the plan to the natural disposition. The financial institute has an influence on the disguised demand extension of the house and The mortgage Lending in commercial Banks with the earnings as the stability high than the industry loaning. A house finance environment changes and will go from economic factor of the variety of the life style, the housing conditional according to the income level, a children education condition, and the population structure many this little. The disposition of the house need changes according to this and will have an influence on the house price. Necessary for a house market environment house policy of the market need which the consistency reflects so that we are suitable and is desired.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.490-497
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• 2007

Since the foreign currency crisis, Korean economy has suffered recession and the government launches residence and real estate policy in order to increase the demand and trade of real estate and to help the economy revitalization. 1 As a result, the rate of economy growth is shown the high increase with the figure of 10.9% in 1999 and 8.8% in 2000. However, it brings overheating market as a negative effect. Although, the government established the policy for the control of speculation, the policy causes instability of economy. This study is to analyze the effect between the residence policy and the housing cost since the foreign currency crisis through housing sale price estimation and housing lease price estimation and is to apply the basis data of the next residence policy.