• Korean Journal of Social Welfare Studies
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• v.42 no.1
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• pp.305-331
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• 2011

This study analyzes the consumption patterns of the poor households. The first objective of this analysis is to show that the group living in poverty get not one consumption pattern but several types of consumption patterns. The second objective is to understand what factors effect the consumption patterns. This study use the data of Korea Welfare Panel Study in 2008 & 2009. In oder to achieve first goal, We conduct factor analysis and cluster analysis. And to achieve second goal, We conduct multinomial logistic Analysis. Major findings are as follows. First we find six patterns of consuming types of the poor households. They are education oriented consuming type, diet oriented type, social network oriented type, transportation-communication oriented type, health & medical oriented type, and housing expenditure oriented type. Second we find these consumption patterns are effected by not economic factors but socio-populational factors, especially by life cycle of members of household.

• The Journal of the Korea Contents Association
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• v.12 no.8
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• pp.399-410
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• 2012

This study is to investigate the expenditure patterns that was generated by visitors who attended The Korean Music Wave Festival and analyze economic impact derived from that event. The target is the foreign visitors who attended '2011 Incheon Korean Music Wave'. Total of 407 questionnaires were collected. The collected data were analyzed to produce spending patterns using Tobit models. Also, tourism multipliers were employed to identify the economic impact. This results show that expenditure determinants such as demographic variables and satisfaction as independent variables are significant in estimating visitors' expenditures. Also, In addition economic impact derived from direct spending was substantially over committed cost. Accordingly, this result can contribute to providing basic information for marketing strategy that generates the economic effect on the destination. Moreover, the result can be utilized when establishing the strategy that can maximize the economic impact based on the spending patterns.

• Korean Journal of Social Welfare Studies
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• v.40 no.3
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• pp.327-348
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• 2009

The purpose of this study is to understand the diverse lifestyles of Korean older adults by analyzing the consumption pattern of older households and its determinants. The 9th wave of the Korea Labor and Income Panel Study(KLIPS) data was used for analysis. The twenty consumption items provided by the dataset was reduced to thirteen according to the consumption purpose inherent in the item. K-means cluster analysis and multinomial logistic regression was employed to categorize the consumption pattern of older households and to analyze the determinants. The results are as follows. The consumption pattern of Korean older adults was clustered into six distinctive groups named Breadwinner, Leisure-time pursuer, Friendly outgoes, Daily-life survivor, Illness sufferer and Shelter seeker. Breadwinner, Leisure-time pursuer and Friendly outgoes were lifestyles that earn and spend more compared to the other three. Nevertheless, they differed according to the family size, indicating that the parenting burden might have direct influence on the lifestyle of Korean older adults. Older adults without parenting burden and with high level of education and economic capacity were likely to show Friendly outgoes lifestyle. On the other hand, Daily-life survivor, Illness sufferer and Shelter seeker showed lower level of spending, indicating that for those lacking in economic capacity, urgent needs such as medical need or housing need dominates the lifestyle. The results call for adequate custom policies that best fit the needs of older adults.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.203-204
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• 2021

본 논문에서는 OCR기술을 이용하여 나만의 소비패턴을 분석하는 어플을 제안한다. 현재 카드와 간편결제를 많이 쓰는 시대, 사람들은 소비 패턴을 쉽게 분석하고 알 수 없기 때문에 절약과 저축도 쉽게 못하고 있다. 따라서 OCR을 활용한 영수증 인식으로 소비 패턴을 분석하고 나의 소비 생활을 쉽게 알 수 있는 서비스를 통해 소비 문제가 개선될 것이라고 생각한다. 가계부의 핵심 기능은 수입/지출을 표기하는 것이다. 하지만 현재 상용 중인 소비 앱은 너무 많은 기능을 도입해 오히려 사용성이 떨어진다. 이를 해결하기 위해 복잡한 서비스는 빼고, 핵심 기능과 OCR 기능, 예산 관리, 포인트 제도, 카테고리별 지출 관리를 넣었다. 프로젝트의 대상은 평소 과도한 지출을 하는 사람과 자신의 소비를 기록하고 싶은 사람이며, 본 시스템에서 OCR을 이용해 소비시 발생하는 영수증을 인식하여 더욱 편리하게 입력할 수 있다. 또한, 비 계획적인 소비를 효율적으로 해결할 수 있으며, 포인트 제도를 이용해 사용자의 출석률 문제를 효율적으로 해결할 것으로 기대된다.

• Journal of the Korean Home Economics Association
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• v.44 no.6 s.220
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• pp.163-174
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• 2006

The purpose of this research was to examine the level and trends in household clothing expenditure in Korea. Raw data sets produced by the National Statistical Office from the Family Income and Expenditure Survey from 1991 to 2004 were used to support time-series and cross-sectional analyses. The clothing expenditures decreased severely and quickly during the economic crisis of late 1997 through 1998, then increased slowly after the economic crisis until 2003, only to slightly decrease again in 2004. The ratio of clothing expenditure to total household expenditure decreased from 8.03% in 1991 to 5.11% in 2004. This decrease in relative clothing expenditure was greater in the lower income group than in the middle and high income groups. Clothing expenditure patterns were unique and differed from other household expenditures. Although the economic crisis in the late 1990s affected Korean consumers' clothing expenditure, clothing expenditure patterns showed a more fundamental and structural change from 1991 to 2004, with the overall decrease in such expenditure resulting from the concurrent increase in educational and information-communication related expenditures. Clothing expenditure was shown to be luxurious through cross-sectional analysis, but necessary through time-series analysis.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.351-359
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• 2020

This study aims to propose for the K-beauty industry by analyzing the consumption situation. The data used the household trend survey and GDP from 06' to 16' provided by the National Statistical Office. The analysis results of the influencing factors of expenditure on the K-beauty service industry per household resulted in the increase of expenditure on hair and beauty services and their goods when ordinary income decreased, it was possible to understand the similarities between the change of Engel's coefficient. It was difference in the proportion of consumption of beauty services account by income quintiles.The increase of the GNI had an effect on that of the consumption of K-beauty. The above results show that beauty service industry is relevant to the items of households' income and expenditure. Plans are needed to take into account national economic trends and consumption patterns.

• International Area Studies Review
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• v.21 no.2
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• pp.21-44
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• 2017

Under the new normal, the China's economy growth has changed rapid growth to moderate growth since 2007. With new paradigm, China is facing an abnormally severe employment situation. Also the financial expenditure is an important macro adjustment method. The research analyzes both implications of financial expenditures to employment in China, and the trend of implication in different regions. The research was conducted by 2SLS method using the panel data of 31 Chinese local governments(provinces, cities, and autonomous districts) during 1998 to 2015. The main findings are as follows. In the new normal model(2008-2015), the financial expenditure to urban employment have higher effect than total employment. Also, higher income region have more positive effect than lower income region. Medical, technology expenditure have positive effect to total employment, social security, education expenditure have positive effect to urban employment. In the total model(1998-2015) have similar results with new normal model, but the elasticity is more higher than total model. Ultimately, it can be seen that the efficiency of financial expenditure is lower than new normal model. The government should increase the proportion of expenditure in fields of social security, education, medical, technology, and improve the expenditure structure. So as to promote the effect of financial expenditure to employment in new normal economy.

• Korean Journal of Human Ecology
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• v.14 no.3
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• pp.423-432
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• 2005

This study reviewed the consumption patterns of high-income households and analyzed the ratio of major 6 expenditure categories including food at home, food away from horne, education, clothing, entertainment, and housing expenditure to total expenditure. We employed data from two different years (1997 and 1998) so that we could investigate the influence of the economy depression on the patterns and items ratio of consumption, For this purpose, the Daewoo Panel data were used. Also, data analysis was done with descriptive statistics, t-test, and regression analysis. The regression analyses were used to investigate the determinants of the high-income households' consumption patterns. The results of this study showed that food away from home, among 6 consumption items, seemed to be significantly affected by the depression, but still high-income households seemed not to lessen education expense. We included independent variables such as age, income, job, gender, debts and the likes. It was found that the age of reference person affected the amount of expenses for food, clothing, and entertainment. Other independent variables influenced different consumption categories. The results of this study would be useful for marketing strategies of fashion industries.

• Journal of the Korean Home Economics Association
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• v.37 no.8
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• pp.117-132
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• 1999

This study analyzed how not only socio-economic variables but also lifestyle variables affect the expenditure and the patterns of households. The result of multiple regression analysis resealed that economic variables(e.g, income, saving, property) and lifestyle variable(e.g, enjoyment and convenience seeking type) affected the consumption expenditure. Based on the result of cluster analysis, The consumption expenditure patterns of urban households were separated as 1)necessity dominant pattern, 2)transportation $.$ communication dominant patters, 3)other consumption dominant pattern, 4)education$.$culture and recreation dominant pattern. The result of logistic analysis revealed that debt, saying and living location variables were major factors to determine the consumption expenditure patterns of urban households. But did not Influence on the Consumption Expenditure Patterns.

• Journal of Nutrition and Health
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• v.57 no.1
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• pp.153-169
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• 2024

Purpose: The main goal of this study was to identify the impact of coronavirus disease 2019 (COVID-19) on grocery purchases (i.e., fresh and processed foods by grain, vegetable, fruit, seafood, and meat categories) in Korea. To understand the specific impact of COVID-19, the study period was divided into 3 segments: PRE-COVID-19, INTER-COVID-19, and POST-COVID-19. Methods: We used the microdata of household income and expenditure from Statistics Korea (KOSTAT), representing households across the country. The data comprised monthly grocery expenditure data from January 2019 to September 2022. First, we compared the PRE-COVID-19 period to INTER-COVID-19 and then INTER-COVID-19 to POST-COVID-19 and used multiple regression analysis. The covariates used were the gender and age of the head of the household, the household's monthly income, the number of family members, the price index, and the month (dummy variable). Results: The expenditures on all grocery categories except fresh fruit increased from PRE-COVID-19 to INTER-COVID-19. From INTER-COVID-19 to POST-COVID-19, almost all grocery category spending declined, with processed meat being the only exception. Most purchases of protein sources, increased during INTER-COVID-19 compared to PRE-COVID-19, while ham/sausage/bacon for meat protein, fish cakes and canned seafood for seafood protein, and soy milk for plant-based protein did not decrease during POST-COVID-19 compared to INTER-COVID-19. Conclusion: These results show an overall increase in in-home grocery expenditure during COVID-19 due to an increase in eating at home, followed by a decrease in this expenditure in the POST-COVID-19 period. Among the trends, the protein and highly processed convenience food categories did not see a decline in spending during the POST-COVID-19 period, which is a reflection of the preferences of consumers in the post-COVID-19 period.