• Journal of Family Resource Management and Policy Review
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• v.22 no.2
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• pp.25-43
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• 2018

The purpose of this study was to analyze the factors that influence middle-aged people's retirement planning and financial preparation for old age. The data was derived from "the National Survey of Families 2015". The samples included 1,462 people from 40 to 64 years of age. The findings from the analysis showed that the level of retirement planning was significantly associated with gender, age, education level, employment status, monthly family income, monthly expenditure on spending to support parents, and perceived household economic condition. When the samples were divided by sex, the results showed that the perceived household economic condition was the most significant factor for both men and women's level of retirement planning. Age and education level were the significant factors for women's level of retirement planning but not for men's. Logistic regression was used to analyze whether middle-aged people made financial preparation for old age. For the whole sample, whether or not a person was a regular employee, monthly family income, monthly expenditure on supporting parents, perceived household economic condition, and retirement planning were significant variables in determining financial preparation. For men, whether or not a person was a regular employee, monthly family income, perceived household economic condition, and retirement planning were significant factors, for women whether or not a person was a regular employee, and retirement planning were the significant factors in determining financial preparation. The results implied that retirement planning is needed for middle-aged people to prepare for old age financially while the financial preparation should differ depending on sex.

• Human Ecology Research
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• v.56 no.6
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• pp.573-588
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• 2018

This study analyzed per capita consumption expenditure by the consumption quintile of Middle and Older Elderly Households and the variables that affected it. Sample of 2,983 households was collected from the 6th KLoSA in 2016. First, when comparing the HH's living expenses by the number of family members, two persons to a person ratio, more than six persons to a person ratio were 2.007 and 4.148, respectively. The ratio increased as the number of family member increased; however, the rate of ratio increase decreased. Second, the per capita living expenses for the first and fifth quintile were 5.11 million won and 16.93 million won at the per capita living expenses that applied the OECD's equivalence scale to the HH's living expenses. The per capita living expenses for the fifth quintile was 3.31 times higher than in the first quintile. Third, among the variables influencing per capita living expenses by the consumption quintile, the marital status was the significant for all consumption quintiles; however, HH's income, HH's total asset, HH's financial asset, pension, subjective perception of the economy class, home ownership, residence (metropolitan or small city), education (elementary school), participation groups were significant in some quintiles among all quintiles. Fourth, of the significant variables influencing per capita living expenses, the most influential variables were first quintile followed by second quintile, third quintile, fourth quintile, marital status, HH's income, home ownership, HH's total asset, participation groups, residence (metropolitan), subjective perception of the economy class, in order.

• Korea Trade Review
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• v.43 no.2
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• pp.47-67
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• 2018

The purpose of this study is to determine factors of FDI inflows which positively influence economic development. While MNCs ultimately decide on which country to engage in FDI, it can be affected by the general investment environment of host countries. Thus, it may be closely linked to national macro socio-economic factors. In the fixed-effect panel regression analysis using 30 years of data of 13 developed countries and 15 developing countries, results indicate that labor redemption exerts the greatest influence on global FDI inflows; this implies that FDI decisions are based on locations featuring higher productivity by the reduction of labor costs. According to the level of economic development, the motive of FDI inflows differs. In developed countries, GDP, government expenditure and consumer expenditure exert the greatest influence on FDI inflows; which shows characteristics of market seeking and horizontal investment. However, in developing countries, labor redemption and human capital exert the greatest influence on FDI inflows; which shows characteristics of efficiency seeking and vertical investment.

• Environmental and Resource Economics Review
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• v.26 no.2
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• pp.257-286
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• 2017

This paper estimates the effects of imaginary repeated increases in excise duties on fuel oil consumption and on their income redistribution according to changes in consumer price index, if the inflation indexation system was introduced right after the second Energy Tax Reform ended in July, 2007 in Korea. In fact, nominal excise rates have not been adjusted since 2007. As a result, the real excise rates on fuel oils have been diminished inversely proportional to the consumer price index. Own- and cross-price elasticities of fuel oils such as gasoline and diesel oil are estimated under the general equilibrium framework based on the linear expenditure system. Counterfactual analyses through microsimulation in a static model are adopted to estimate the effects of introducing inflation indexation into the fuel tax in 2007 when the second Energy Tax reform ended on the fuel consumption and income redistribution in 2014. Microsimulations suggest that its introduction could have reduced the consumption of gasoline and diesel oil by 8.8% and 5.4%, respectively, ending up with increased excise revenue by 11.9%. The revenue increase in spite of decreased consumption is mainly because their demands are price inelastic. It could also have increased positive income redistributive effect by 0.01%p (from 0.12% to 0.13%), which is measured in terms of percentage decrease in Gini coefficient. In other words, the fuel excise on the two fuel oils decreased by 0.13% the Gini coefficient of before and after fuel tax income in 2014. This implies that the inflation indexation could have enlarged the income redistributive effect up to 0.13% in 2014, if it is introduced in 2007.

• Environmental and Resource Economics Review
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• v.15 no.2
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• pp.247-267
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• 2006

This paper formulates a monopolistic competition model by incorporating Leontief product function into Dixit and Stigliz model to analyze and compare the effects of two environmental policy instruments-fuel efficiency regulation and environmental tax-on a market which reflects characteristics of international vehicle market. As expected, both policy instruments raise equilibrium market prices. The effect of fuel efficiency regulation on firm output, the number of firms, and industry output, however, depends on three determinants-the increasing rate of the ratio of consumer expenditure to the income, the increasing rate of fixed cost, and the increasing rate of marginal cost. On the other hand, the imposition of the specific environmental tax reduces the firm output, but does not influence the number of firms. If these two instruments are assumed to lead to the same increasing rate of marginal costs, the environmental tax reduces the firm output as well as the industry output more than the fuel efficiency regulation. And it will induce more firms to exit the market than the fuel efficiency regulation if the increasing rate of the ratio of consumer expenditure to the income is larger than the increasing rate of fixed cost.

• Smart Media Journal
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• v.6 no.2
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• pp.50-56
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• 2017

Due to new social environment, expenditure on eating out has increased over the last few year, thereafter the food-tech industries have steadily grown as well. We have studied what variable would affect customer's choices when they plan to eat out or order in. There are two variables are taken into account to prove it. Firstly, it is climate changes, such as an amount of rainfall, snowfall and clouds. Secondly, it is days, such as seasons and holidays. Based on this, we looked up the SikSin user's behaviors patterns, then did analysis of the daily data provided by the Meteorological office. By the end of the study, it turned out that two variables, climate changes and days, both have a strong influence on customer's choices. It is considered that this research outcome will make contributions to small businesses founders who want to take the initiative, marketing managers and people who are engaged in the food-tech industry.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.109-114
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• 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 the Korean Home Economics Association
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• v.35 no.4
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• pp.229-242
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• 1997

the purpose of this study is to investigate the effect of household type on human capital enhancement expenditures and to compare the difference in these expenditures between female-hemale-headed and married-couple households. Data for this study were from the 1990-91 Consumer Expenditure Survey(CES) and consisted of a sample of 7,225 married-couple and 1,391 female-headed households with children under age 18. The dependent variable to measure human capital expenditures was the sum of four sub-components-education reading leisure and health care expenditures. Tobit analysis with a dummy variable for household type was used to identify the effect of household type on the dollars spent on human capital expenditures. The effect of household type was significant in human capital expenditures indicating that female-headed households spent significantly less for this category than did married-couple household holding other factors constant. the findings of this study suggested that income from a public assistance program was associated with lesser expenditures on human capital while social security income source was associated with greater human capital expenditures, It was also found that the addition of family members between ages of 6 and 17 positively affected human capital expenditures. Understanding these factors is useful for family resource management professionals who work with female-headed households.

• Journal of the Korean Society of Costume
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• v.55 no.3 s.93
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• pp.33-46
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• 2005

The purpose of this study is to examine the mediate effect of gender on the differences of consumers grouped by the level of fashion interest. Data was collected from 280 men and women of their twentieth and analyzed using crosstab analysis, ANOVA, scheff'e test, x$^{2}$ test, and regression. The results are as follows. First, high interest groups showed little difference in the clothing shopping orientation and showed significant differences in the clothing purchasing behaviors(visiting store, time spent for shopping, and monthly clothing expenditure) between men and women. Second, low interest groups showed a lot of differences in both the clothing shopping orientation and the clothing purchasing behaviors between men and women. Third, several dimensions of clothing shopping orientation were more influenced from fashion interest level rather than the gender of consumers, and other several dimensions, visiting store, and the time spent for shopping were more influenced from gender rather than fashion interest level. These results imply that the gender of consumer has mediate effect on the behaviors of consumers grouped by the level of fashion interest, and the consumers of same fashion interest level must be approached concerning the gender of consumers.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.149-156
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• 2020

The study aims to investigate a close relation between macro and non-macro variables on stock performance of tourism companies in Korea. The sample used in this study includes monthly data from January 2001 to December 2018. The stock price index of the tourism companies as a dependent variable are obtained from Sejoong, HanaTour, and RedcapTour as three leading Korean tourism companies that have been listed on the Korea Stock Exchange. This study assesses the tourism stock performance using the quantile regression approach. This study also investigates whether global crisis events as the Iraq War and the global financial crisis as non-macro variables have a significant effect on the stock performance of tourism companies in Korea. The results show that the oil prices, exchange rate and industrial production have negative coefficients on stock prices of tourism companies, while the effects of tourist expenditure and consumer price index are positive and significant. We estimate the result of quantile regression that non-macro determinants have statistically a significant and negative effect on tourism stock performance because the global crisis could threaten traveler's safety and economy. Overall, empirical results suggest that the effects of macro and non-macro variables are statistically asymmetric and highly related to tourism stock performance.