• The Journal of Industrial Distribution & Business
• /
• v.10 no.9
• /
• pp.53-60
• /
• 2019

Purpose - The objective of this paper is to discover if there exists a relationship between the economic index and distribution industry index in Korean. Because of the distribution industry boom in the recent years, a lot of interest in the relationship between the economic index and distribution industry index in Korean and the economy has been generated. This article examine on the mutual influence between economic index and distribution industry index in Korean. Research design, data, and methodology - For this purpose, we use the vector-auto regression model, impulse response function and variance decomposition of the economic index and distribution industry index, Granger causality test using weekly data on the economic index and distribution industry price index in korea. The sample period is covering from January 2, 2010 to August 31, 2019. The VAR model can also be linked to cointegration analysis. Cointegration Analysis makes possible to find a mechanism causing x and y to move around a long-run equilibrium (Engle and Granger, 1987). This equilibrium means that external shocks may separate the series temporarily at any particular time, but there will be an overall tendency towards some type of long-run equilibrium. If variables are found to have this tendency they are said to be cointegrated and a long-run relationship between these series is established. These econometric tools have been applied widely into economics and business areas to analyze intertemporal linkages between different time series. Results - This research showed following main results. First, from the basic statistic analysis of the economic index and distribution industry index in Korean, the economic index and the distribution industry index in korea have unit roots. Second, there is at least one cointegration between the economic index and distribution industry index in Korean. Finally, the correlation between of the economic index and the distribution industry index in korea is (+) 0.528876. Conclusions - We find that the distribution industry price index Granger cause the economic index in korea. As a consequence, the distribution industry index affect the economic index in Korean. The distribution industry index to the economic index is stronger than that from the economic index to the distribution industry index.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
• /
• v.10 no.6
• /
• pp.773-783
• /
• 1998

The heating system for apartment complex may be classified as old systems including central system with steam boiler(S1), gas engine driven heat pump system(S2), system using waste heat(S3) and new systems including mechanical vapor re-compression system with flashing heat exchangers(S4), system using methanol(S5), system using metal hydride (S6). The purpose of the present study is to suggest optimal heating system by technically, economically and environmentally evaluating old and new heating systems of apartment complex from 500 to 3,000 households. Economic evaluation based on the technical evaluation results which estimated heat transfer area of heat exchangers and capacity of equipments was estimated initial investment cost, annual operating cost and relative payback period by considering annual increasing rates of energy cost and interest. Environmental evaluation provided annual generation rate of carbon dioxide. Initial investment cost was cheap in the order of S6, S5, S3, S2, S4, S1, annual operating cost was cheap in the order of S1, S2, S4, S5 and relative payback period was short in the order of S6, S5, S2, S3 and S4. Relative payback period was within 8 years for all scenarios of 3,000 households, and was increased as annual increasing rates of energy cost and interest were increased. As transportation pipe length was increased twice, payback period was increased by 1.4~2.6 time. The effect of temperatures of waste gas and waste water on the relative payback period was small within 0.8 years. The annual generation rate of carbon dioxide was big in the order of S4, S2 and S1. S4 was the most economic system among whole scenarios when S1 was replaced with other scenarios.

• Journal of Digital Convergence
• /
• v.18 no.11
• /
• pp.267-272
• /
• 2020

Macroeconomics are one of the indicators that are preceded and analyzed when analyzing stocks because it shows the movement of a country's economy as a whole. The overall economic situation at the national level, such as national income, inflation, unemployment, exchange rates, currency, interest rates, and balance of payments, has a great affect on the stock market, and economic indicators are actually correlated with stock prices. It is the main source of data for analysts to watch with interest and to determine buy and sell considering the impact on individual stock prices. Therefore, economic indicators that impact on the stock price are analyzed as leading indicators, and the stock price prediction is predicted through deep learning-based prediction, after that the actual stock price is compared. If you decide to buy or sell stocks by analysis of stock prediction, then stocks can be investments, not gambling. Therefore, this research was conducted to enable automated stock trading by using macro-indicators and deep learning algorithms in artificial intelligence.

• Journal of the Korean Society of Costume
• /
• v.37
• /
• pp.133-148
• /
• 1998

This study presents the aspects and changing process of the habiliment from the National Liberation up to now by analyzing the articles of costume found in$\ulcorner$Maeil Shinmun$\lrcorner$from Jan. 1. 1946 to Dec. 31. 1996. In the period of 1946~1959, the political and economic conditions through the National Liberation and Korean war deteriorated and the interest in costumes were weakened. But the economic recovery and social stability in the middle of the 50's made the lost interest in costumes increase. From 1960 to 1969, the high economic growth was achieved by“Five year plans for Economic Development”and the progress of mass media, transportation, communication and education brought western culture to our society. It spread rapidly and changed the way of life and the sence of value. These phenomenon led to a great transition on the Korean costume culture in the 60's In 1970~1979, the articless of costume made a change from the 60's, which focused on women's wear, and tuned to one including general costumes not only women's wear but also men's wear due to the women's social roles, the unisexmode and diverse costume. In 1980~1989, the growth of the consumption, the banning of the school uniform, Asian Games(1986) and Olympic games(1988) caused the high qualification, personalization and diversification in the fashion industry. Further more, the traditional-oriented trend with korean culture was emphasized. It pursued the modernization of the traditional Korean Costume, Hanbok, to introduce the unique Korean Beauty. From 1990 to 1996, in the era of international-ization and open door policy, the competition of nations became intense and the comprehention about environmental destruction highlingted the concerns on ecology. The recognition of environmental protection and recycling were reflected in the fashion. It prevailed that the pursuit of personalization,. diverse style, practicality and the fashion leader called generation appeared.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1996.10a
• /
• pp.19-22
• /
• 1996

A traditional approach to the prediction of economic and financial variables takes the form of statistical models to summarize past observations and to project them into the envisioned future. Over the past decade, an increasing number of organizations has turned to the use of neural networks. To date, however, many spheres of interest still lack a systematic evaluation of the statistical and neural approaches. One of these lies in the prediction of corporate bond yields for Korea. This paper reports on a comparative evaluation of ARIMA models and neural networks in the context of interest rate prediction. An additional experiment relates to an integration of the two methods. More specifically, the statistical model serves as a filter by providing estimtes which are then used as input into the neural network models.

• Journal of the Korean Home Economics Association
• /
• v.49 no.8
• /
• pp.37-46
• /
• 2011

Using the 1987-2008 quarterly aggregated data of the Household Income and Expenditure Survey, this study investigated the factors influencing household saving rate. The independent variables in the AR regression model were the GDP growth rate, shares of the total household expenditure allocated to tax & social insurance, and education, the variables reflecting the conditions of the asset market including interest rate, stock market index, and real estate price index, and the variables representing the social economic conditions including the index of aging and income inequality. Among the independent variables interest rate, stock market index, and income inequality were found to be significantly associated with the household saving rate. These results suggested that the redistribution and financial market policies favorable to savers may be effective for raising the household saving rate.

• Journal of the Korean Home Economics Association
• /
• v.24 no.3
• /
• pp.129-141
• /
• 1986

The purpose of this study was to test both psychological and demographic variables and their relationship to the consumers design evaluation with reference to television sets and refrigerators. The survey questionnaire consisted of three distinct areas: 1) demographic information about the subjects, 2) their interest in design and need for design, 3) their evaluation of‘ideal’designs the subjects were 900 adults selected from middle and high economic level in Seoul. The major findings were the‘ideal’design of the subjects was affected by interest in design and the need for design. The need for design was related to either self-esteem or to esteem of others. Interest in design and need for self-esteem were affected by demographic variables but the need for esteem of others was not.

• International journal of advanced smart convergence
• /
• v.8 no.2
• /
• pp.47-55
• /
• 2019

In past patriarchal societies, childbearing was considered the sole possession of women. At a time when women were struggling to move into society, the concept of parenting as the mainstay of the capitalist economic society and the head of the family has naturally been taken for granted by a woman named "housewife." Since the role of male babies is as important as that of females, Fathers are trying to promote the importance of the effects of fathers due to active participation in childcare and help change old perceptions of the past. Men also know the importance of participating in childcare in early childhood, but often do not know what their children want or why they cry due to lack of basic child care knowledge and lack of education. We tried to give fathers the meaning of indirect experience and change their perception of parenting by producing interactive VR content, which is completed with dad's participation, so that they can experience the child in person. In addition, through familiar childcare professional product advertisement and 360 degree stereo sound. It is made to immerse in the game to gain persuasive effect, inducing fathers to have interest and interest in childrearing.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.1
• /
• pp.203-211
• /
• 2022

Foreign direct investment (FDI) has increased at an exponential rate during the last two decades. It is now a feature of emerging market economies as well. Foreign direct investment and financial development are important factors in an economy's growth. Various studies have examined the impact of foreign direct investment and financial development on economic growth in different countries and areas. However, the findings are currently inconclusive. Using updated data from 1970 to 2020, this study will examine the relationships between FDI, financial development, and economic growth in 30 rising economies.GDP is the dependent variable, while FDI, financial development, trade openness, infrastructure, exchange rate, and GDP growth are the independent factors. To estimate the panel data, we used the most recent econometric models. The study's major findings suggest that FDI and financial development are critical determinants in emerging economies' economic progress. Furthermore, multiple robustness checks supported the study's empirical findings. The results of this study include various practical recommendations for investors, governments, and policymakers, given the increased interest in global economic integration and member states' reliance on FDI as a critical aspect of sustaining prosperity.

• International conference on construction engineering and project management
• /
• 2013.01a
• /
• pp.28-35
• /
• 2013

The construction industry has introduced the Leadership in Energy and Environmental Design (LEED) rating system to promote objective evaluations of the sustainability of buildings. Three important values to consider when implementing sustainability are the associated environmental, social, and economic impacts. Recently, researchers have begun to investigate the real estate value of LEED certified buildings in terms of the rental cost, occupancy rate, cost per unit area, and resale value in order to better understand the economic benefits of the LEED rating system. However, the economic benefits also encompass economic effects such as the impact of LEED certified buildings on neighborhood real estate values surrounding the certified buildings. This research examines whether the enhanced real estate value of LEED certified buildings in New York City extends to surrounding commercial buildings, utilizing spatial analysis via a Geographic Information System (GIS) and the hedonic pricing method to derive meaningful economic relationships. The results provide practical insights into the economic effect of LEED certified buildings that will be of interest to city officials and planners, as well as the owners, developers, investors and other stakeholders of surrounding buildings.