• Journal of the Korea Fashion and Costume Design Association
• /
• v.23 no.2
• /
• pp.17-28
• /
• 2021

The baby-tech industry, which combines IT with existing parenting product, is attracting increasing amounts of attention. Consequently various types of baby products incorporating functionality and design are being launched. In recent years, particularly as the market segments increases for babywearing products, parenting products that account for the child's comfort and parents' convenience are required. Therefore, this study examines the characteristics and consumer perception of babywear products, which are important for the emotional stability, development, and rearing of children. The study utilizes text mining and a network analysis by collecting unstructured text data. An examination of the network, based on the frequency of keywords for each babywear product and the degree of the connection to the centering index, revealed that consumers value convenience and price when purchasing products. The consumer perception and consideration factors that appear individually according to the product were also identified. In addition, studying body parts with high TF-IDF values revealed a difference in the body parts considered by consumers for each product. Lastly, through the visualization data based on the keywords that appeared in public, commonly appearing keywords, and those that appeared individually were examined. Through SNS, product characteristics as well as a new parenting culture that shared child-rearing routines were confirmed. This study suggests planning and marketing directions for the development of babywear products that meet consumer needs.

• Journal of Environmental Science International
• /
• v.21 no.12
• /
• pp.1477-1485
• /
• 2012

This study examined urbanization effects and the causes of urbanization, urban population growth, increase of the city scale, land cover change, and human cultures and economic activities, using the daily minimum temperatures of the past 50 years (1961-2010) with the subject of Busan and analyzed correlations between urbanization effects and the causes of urbanization. Thereby, this paper drew a conclusion as below: 1) Due to the urbanization effects, the average annual daily minimum temperature increased as about $1.2^{\circ}C$; however, except for the factor of urbanization, the increase was shown as about $0.2^{\circ}C$. The occupancy of urbanization effects in the total temperature increase was quite high as about 83%. 2) Just like other cities experiencing urbanization, Busan, too, sees population growth and the expansion of city area as well as increased urbanization effects. First of all, correlation between population growth and urbanization effect was high as 0.96 before 1985 while it was lowered as 0.19 after 1985. Also, correlation between the increase of city area and urbanization effect was high as 0.64 and 0.79 before and after 1985. 3) Regarding the correlation between long-term land use change and urbanization effect, urbanization effect was affected greatly by the increase of city area (0.97) and reduction of green area (0.92). 4) Concerning human activities possible to affect the climatic factors of a city, this paper found the following factors: road length, car increase, power use, and the consumer price index, etc. And regarding the correlation between the three factors and urbanization effect, the correlation was higher in the consumer price index (0.97), the number of registered cars (0.89), power use (0.75), and road length (0.58) in order.

• Journal of Korean Home Economics Education Association
• /
• v.18 no.2 s.40
• /
• pp.47-62
• /
• 2006

This research was conducted to find out price change of education service. Consumer Price Index annual series data in Korea National Statistical office from 1990 to 2004 were used for analysis. First, education price indexes showed an average annual increase of 7.3% during the last 15 years (1990-2004), marking the highest increase among items in the CPI basket. The average annual increase in tuition fees and other fees, expenditure classes of education price. has been 7.5% and 6.0%, respectively. Secondly, an average increase in tuition fees for two-year college was higher, followed by tuition fees for kindergarten, private four-year college, national four-year college and secondary schools. An average increase in primary school textbook costs was higher in the category of 'other fees' followed by junior high school textbook costs, junior high school supplementary book costs and home delivery supplementary book costs Thirdly, there were no differences in price changes of secondary school textbooks, junior high school supplementary books, high school supplementary books among 16 locations. An average increase in after-school education (selective subjects) for college entrance examination was higher in Gwangju but lower in Seoul, compared with other cities. An average of 7% difference was seen annually among regions. When the year 2000 was considered as 100, the most significant gains were seen in Kwangju at 80% and Gangwon at 57%. An increase in after-school education (all subjects) for college entrance examination was higher in South Cholla Province but lower in North Gyeongsang Province. An increase in after-school education (all subjects) for college entrance examination was higher in South Cholla Province but lower in North Gyeongsang Province. An average of 7% difference was seen annually in the annual increase. When the year 2000 was considered 100, most significant increase was seen in Busan and South Gyeongsang Province at 37% and Jeju Island at 34%.

• Journal of Korean Society of Forest Science
• /
• v.95 no.4
• /
• pp.415-422
• /
• 2006

This study aims for suggesting an idea to plan the expansion of consuming environmentally friendly chestnuts by statistically analyzing the types and intentions for consumer's purchase of environmentally friendly point of production and export side. For this, the survey was performed on 650 housewives living in Seoul, new metropolitan cities such as Ilsan, Bundang, where is the central place of main consumption. As a result, it is more effective to plan the expansion of consumption as the activity of consumption promotion for environmentally friendly chestnut focused on specific target such as 3~4 members of family and 30~40's age of young housewives having with the academic background of above university graduate, large income of average monthly payment with over 4.5 million won and consumers who have experience to purchase environmentally friendly forest products. In order to achieve this goal, it is require to secure the stabilized dealer for the environmentally friendly forest products as well as to establish the appropriate price reflected by the value and quality of environmentally friendly chestnut which the consumers recognize. It is estimated that this price can be decided on the basis of willingness to pay for the environmentally friendly chestnut from the index which comes from the integrated and concentrated consumers' expectation as this study surveyed.

• Journal of Digital Convergence
• /
• v.19 no.6
• /
• pp.133-141
• /
• 2021

Governments of each country are actively implementing fiscal expansion policies to recover the real economy after Corona 19. In Korea, the stock market and housing market are greatly affected as liquidity in the market increases due to the implementation of disaster subsidies and welfare policies. The purpose of this study is to analyze the relationship between stock market and housing market trends and liquidity. Data were collected by the Bank of Korea and Kookmin Bank. The analysis period is from January 2000 to December 2020, and monthly data are used. For empirical analysis, the rate of change from the same month of the previous year was calculated for each variable, and numerical analysis, index analysis, and model analysis were performed. As a result of the analysis, it was found that the stock index showed a positive(+) relationship with the house price, while a negative(-) relationship with M2. Previous studies have suggested that, in general, an increase in liquidity affects the stock market and the housing market, and inflation also rises. In this study, it was found that the stock market and the housing market had an effect on each other. However, it was investigated that liquidity showed an inverse relationship with the stock market and had no relationship with the housing market. Through this, this study estimated that there is a time difference in the relationship between liquidity and the stock market & housing market.

• Journal of Korean Society of Rural Planning
• /
• v.26 no.2
• /
• pp.61-70
• /
• 2020

The purpose of this study is to calculate the annual carbon reduction of crops according to the carbon fixation method of agricultural land, therefore to analyze whether the economic inducement of farmers to switch from single cropping to double cropping if the amount of carbon reduction were traded on the Korea Exchange. The analysis targets were Gyeonggi Province, which was divided into four areas to compare the difference between agricultural income and carbon income by crop and cropping system. Agricultural profit was estimated by multiplying the prior data of 2012 by the change rate of the consumer price index, and carbon income was calculated through the carbon reduction for each crop and the average transaction price of KAU19 traded on the Korea Exchange. According to the analysis, the profit rate of double cropping in all areas is -110.4% to 23% compared to single cropping, when only agricultural profit is taken into account, with no economic inducement for farmers to change the cropping system. However, when carbon income is taken into account together, the profit rate of double cropping rises significantly from 122.5% to 238.9% over a single operation in all areas, resulting in an economic inducement to switch the cropping system. This research is meaningful in that farming households could raise their income by additional carbon income, and that carbon credits could be supplied at Korea Exchange to further boost the carbon emission exchange.

• The Korean Journal of Applied Statistics
• /
• v.23 no.1
• /
• pp.63-71
• /
• 2010

Business entrepreneurs reflect their views of domestic and foreign economic activities on their operation for the growth of their business. The decision, forecasting, and planning based on their economic sentiment affect business operation such as production, investment, and hiring and consequently affect condition of national economy. Business survey index(BSI) is compiled to get the information of business entrepreneurs' economic sentiment for the analysis of business condition. BSI has been used as an important variable in the short-term forecasting models for business cycle analysis, especially during the the period of extreme business fluctuations. Recent financial crisis has arised extreme business fluctuations similar to those caused by currency crisis at the end of 1997, and brought back the importance of BSI as a variable for the economic forecasting. In this paper, the meaning of BSI as an economic sentiment index is reviewed and a GUIDE regression tree is constructed to find out the factors which affect on BSI. The result shows that the variables related to the stability of financial market such as kospi index(Korea composite stock price index) and exchange rate as well as manufacturing operation ratio and consumer goods sales are main factors which affect business entrepreneurs' economic sentiment.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.12
• /
• pp.109-114
• /
• 2020

The aim of this study is to develop basic artificial neural network models in forecasting the in-sample gross domestic product (GDP) of Malaysia. GDP is one of the main indicators in presenting the macro economic condition of a country as set by the world authority bodies such as the World Bank. Hence, this study uses an artificial neural network-based approach to make predictions concerning the economic growth of Malaysia. This method has been proposed due to its ability to overcome multicollinearity among variables, as well as the ability to cope with non-linear problems in Malaysia's growth data. The selected inputs and outputs are based on the previous literatures as well as the economic growth theory. Therefore, the selected inputs are exports, imports, private consumption, government expenditure, consumer price index (CPI), inflation rate, foreign direct investment (FDI) and money supply, which includes M1 and M2. Whilst, the output is real gross domestic product growth rate. The results of this study showed that the neural network method gives the smallest value of mean error which is 0.81 percent with a total difference of 0.70 percent. This implies that the neural network model is appropriate and is a relevant method in forecasting the economic growth of Malaysia.

• Journal of Distribution Science
• /
• v.16 no.11
• /
• pp.37-45
• /
• 2018

Purpose - Recently, large quantities of factors have affected the signing of the Free Trade Agreement between two countries. Due to this background, this paper selects South Korea as an example to explore the determinants of Free Trade Agreement from Asian countries. Research design, data, and methodology - A cross sectional data of 2016 will be employed and some variables such as real income and GDP will be used to run an empirical analysis under the linear probability model, probit model and logit model. Results - The findings show that the Asian countries' exchange rate regime, real income, GDP and so forth can increase the probability of signing the Free Trade Agreement with Asian countries. Conversely, the distance can lower the probability of signing the Free Trade Agreement with Asian countries. Meanwhile, although the Asian countries' import, consumer price index and population also can affect the probability of signing the Free Trade Agreement with Asian countries, the estimated coefficients are not statistically significant at 5% level. Conclusions - According to the empirical results, this paper provides a new scope for South Korea's government to sign the Free Trade Agreement with other Asian countries.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.26 no.3
• /
• pp.9-22
• /
• 2018

Korea meteorological administration(KMA) has started to levy air meteorological service charge on both national and foreign carriers since 2005. The charge has grown on 2010 and 2014 twice. However, KMA has still kept asking airlines to agree with another increase in the charge due to the low cost of goods recovery ratio of 7%. The air meteorological charge has changed from 2,210 KRW at the beginning to 11,400 KRW as of June 2018. According to ARIMA intervention time series analysis, it was proven national carriers would make a payment of 831 million KRW 2018 and 1,024 million KRW 2019, showing 186.2% and 123.2% increase compared to last year respectively. The total amount of charge for both national LCC and foreign airlines was aggregated up to 1,952 million KRW 2019, 227% bigger than the charge paid at 2017. Considering the 50% increase of consumer price index last decade, the increased charge would impair the global competitiveness of national carriers. It could be suggested that current air meteorological charge scheme be improved to apply overseas trend and for national carriers to have a competitive advantage in global aviation market.