This research analyzed determining factors of expenditure for processing fee by targeting trade show participants under a microeconomic approach in order to analyze determining factors of the participations of trade shows. As a result, with regard to the participation fees, income and the level of education seemed to be the socioeconomic factors that positively affected visitors in paying admission fees: and age and gender were negative elements. With regard to the participating businesses, the sales and the corporate history of the businesses were the positive elements to their willingness to pay the participation fees: however, the ratio of male and female personnel turned out to be a negative element in incurring the participation fees. The purchase of ticket was a positive mode-of participation factor to the visitors: however, distance tended to be a negative element for the visitors. For the participating businesses, the number of participation tended to be a positive element: however, distance was a negative one. The positive satisfaction factors that affected visitors' willingness to pay the participation fees included exhibited items, location, and schedules for events of the convention: for the participating businesses, the actual sales at the convention, the effects of advertisement and the level of satisfaction for location tended to play positive parts.
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%.
The purpose of this study is to investigate the effect of factors related to consumer lifestyle and media usage on the adoption of Nscreen service, which is fundamentally changing both the competitive landscape for business and the daily lives of consumers. The data of 8,524 consumers used in this study were drawn from the first Korea Media Panel Study in 2012 of Korea Information Society Development Institute and the characteristics of adopters and non-adopters were compared. The study also aims to explore the usage pattern of Nscreen as well as antecedent variables that affect the innovative service usage. Logistic regression analysis shows various factors affects the acceptance of this innovation. This is only a first step in the important process of understanding the nature of relationship between consumer lifestyle and the adoption of Nscreen service. Gaining a comprehensive understanding of the drivers of Nscreen usage will help engineers and marketers to develop effective strategies that meet consumer needs for innovative services.
Journal of rehabilitation welfare engineering & assistive technology
/
v.8
no.4
/
pp.239-244
/
2014
This research was carried out for the purpose of providing basic data to establish a policy for improving health and medical service inequality in the disabled's households, by analyzing it according to composed groups through the application of data about the panel survey of the employment for the disabled, from 2010 to 2012. The results of analysis showed that as for Gini's coefficient, disabled women, the disabled without participation in economic activities, the disabled in their 40s, physically handicapped people and severely disabled people had more and more inequality in expenditure of health care expenses, and inequality in North Gyeongsang Province continued to be on the rise. As for the entropy coefficient, disabled women, the disabled without participation in economic activities, the mentally disabled and severely disabled people had more and more inequality in consumption of health care, and the inequality got severe in Ulsan and North Gyeongsang Province. And as for the decomposition of factors by composed group, inequality in health care expenses were higher inside a group than between groups. Based on these results, research limitations and implications were suggested.
Journal of Family Resource Management and Policy Review
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v.18
no.3
/
pp.135-157
/
2014
The purpose of this study was to investigate the influences of household income, education needs, private education expenses and expenditures of preparation for old age for mothers of school-aged children and to discover the causal relationships among these variables. The subjects in this study were gathered from among 393 mothers living in Daegu with school-aged children from 8 to 19 years old and with wage-earner husbands. The research tool was a questionnaires which addressed the general characteristics of the subjects, household income, the scale of education needs, the scale of private education expenditures, the scale of perceived burden of private education, and the scale of expenditures of preparation for old age. In order to analyze the study data, factor analysis, and regression analysis using SPSS were used, and structural path analysis using AMOS was used. The main results of this study were as follow: First, the greater the household income, the greater the education needs. Second, household income and education needs had no significant influences on private education expenditures. Third, education needs and private education expenditures turned out to have significant effects on the perceived burden of private education expenditures. Fourth, expenditures of preparation for old age among mothers of school-aged children was influenced by the education needs, private education expenditures and perceived burden of private education expenditures. The household income of mothers of school-aged children had no significant influence on private education expenditures. Finally, education needs, private education expenditures and perceived burden of private education expenditures for mothers of school-aged children had a direct effect on the expenditures of preparations for old age. On the other hand, in mediating education needs, household income of these mothers had an indirect effect on expenditures of preparations for old age. The perceived burden of private education expenditures turned out to have the biggest total effect on the preparations for old age of mothers with school-aged children.
Journal of Family Resource Management and Policy Review
/
v.16
no.4
/
pp.45-68
/
2012
This study performed an analysis to determine if an individual can maintain the current consumption, in the case of a single retired elderly person's household using the accumulated assets. Assets are divided into three types, based on the behavioral economics life cycle hypothesis : financial assets, real assets excepting residential assets, and residential assets, and it is assumed that these assets were used on a step-by-step basis. Also, if the assets were sufficient, the maximum withdrawal amount was calculated. The results of the analysis are as follows. First, the monetary assets were sufficient to cover the cost of living for 2.7 years, 6.4 years by using the real assets of the non-occupied housing, and 26.3 years in the case of residential property. Second, in the case of preferentially using the financial assets, 4.4% of the sample households were able to cover the cost of living. Households that were not able to cover the cost of living used the next-stage assets, real assets of the non-occupied housing. Households that were not able to cover the cost of living by financial assets liquidated the real assets with the exception of residential assets and used these to cover the cost of living. A total of 4.8% of the households were able to maintain the current cost of living through the second stage and 25.5% supplemented their funds by using residential assets. That is to say, 35% of the sample households were able to maintain the current level of living by using their assets.
This paper attempts to investigate and analyze the change of the proportion of discretionary consumption expenditure (DCE) of main consumer goods among total household expenditure from 1964 to 1986 in Korea by reorganizing various data, particularly "Annual Report of Citizen's Household Experditure in Sooul".The result of the author's analysis can be summarized as follows. 1. The analysis shows that while the proportion of DCE in food has been increased during this period as the Korean economy developed, the value of income elasticity for beverages, liguor, out-door eating and processed food products which consist of major part of food, has been successively decreased. And also, though the absolute value of income elasticity for grain products has been increased, its proportion among total expenditure has been successively decreased. From these trends, we can conclude that general consumption pattern has a tendency to change from dependence on main grain products to the more utilization of out-door eating or processed food products. 2. The ratio of DEC of furnitures to housing expenditure has played a role of indicator of business cycle, reflecting the consumers' psychological expectation fro general economic trend. 3. In case of the proportion of DCE of clothes, there has been no great change. 4. As for as DCE of sundry expenditure is concerned, there has been no-great change in The proportion itself/ However. as the ratio of sundry expenditure to total household expenditure has been greatly increased, expenditure for leisure disproportionately increased. 5. The proportion of total DCE in total consumption expenditure, as in the case of housing, has been increased, which coincided exactly with business cyele appeared during this period. In fact, when Korea economy experienced a severe recession in 193 and 1980, that proportion deeply went down respectively, and again went up after those years. Accordingly, we can generalize that the size of DCE deperds on the formation of consumer's psychological expectation toward economy, which confirms George Katona's early proposition.
This study analyzed per capita expenditure (food expenses, housing expenses, health care costs, and cultural & entertainment expenses) by the consumption quintile for middle and older elderly households in addition to personal characteristics, household characteristics and economic factors affecting it. A sample collected from the 6th KLoSHA in 2016, was 2,983 households. First, among each per capita expenditure, the largest expenditure was food expenses, followed by housing expenses, health care costs and cultural & entertainment expenses. Compared with the first quintile of personal consumption expenditure, the largest increase in the fifth quintile was food expenses, followed by cultural & entertainment expenses, housing expenses, and health care costs. Second, compared to the fifth quintile of per capita food expenses, all other quintile had negative effects, and only the first quintile showed a negative effect compared to the fifth quintile of per capita housing expenses. The first, the second, and third quintile had a negative effect compared to the fifth quintile of per capita health care costs. Compared with the fifth quintile of per capita cultural & entertainment expenses, only the third quintile showed a negative effect. Third, in all quintile of per capita food expenses, the most influential variable from the first quintile to the third quintile was marital status, while in the fourth and fifth quintile included household income. In all quintile of per capita health care costs, health status was the most influential variable from the first quintile to the fourth quintile, and residence was in the fifth quintile.
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.
The objective of this study is to analyze the determinants of at-home laver consumption expenditures using the data from a survey of households implemented in 2009. It happened that non-response ratios of monthly expenditures on dry laver and flavored laver among sampled households are 18.8% and 25.6%. Accordingly, this study tries to analyze the determinants affecting at-home laver consumption expenditures by using type II tobit model, one of sample selection models, to deal with sample selection bias caused from non-response data. Analysis results show the age variable positively affects expenditures on dry laver but negatively contributes to expenditures on flavored laver. In addition, the household size, the household's income, the degree of preference for laver have positive relationships with both expenditures. Household size elasticity and income elasticity of the expenditure on dry laver are estimated as 0.220 and 0.251. In the case of flavored laver, these elasticities are estimated as 0.484 and 0.261. Such analysis results can provide information on division of the at-home laver consumption market into groups with high willingness to expense and implementation of detailed marketing strategies to increase at-home laver consumption. The methodology of this study can be applied to consumer preference analysis on other marine products and other analyses on sample with non-response data in the fishery research.
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