• 제목/요약/키워드: consumer panel data

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Poultry Industry Trends and Consumer Analysis in Korea: Native Korean Chicken and Processed Chicken

  • Park, Seoyoung;Kim, Nayeong;Jang, Yunjeong;Lee, Dongmin;Moon, Junghoon
    • Agribusiness and Information Management
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    • 제11권2호
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    • pp.25-34
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    • 2019
  • Poultry is one of the three major meats in Korea and is a representative source of protein. The annual per capita consumption of chicken has been showing steady growth trends, with an increase of approximately 89% in 2018 compared to that of 2005. In this study, we investigated the domestic chicken production and consumption, and conducted an overall study on the domestic chicken industry. By using consumer panel data, we analyzed the characteristics of consumers buying chicken. Specifically, poultry was categorized into two types: traditional raw chicken and processed chicken, which emphasizes convenience. The purchase of raw chickens has generally been on the decline. From these, however, the proportion of native Korean chicken and chicken cuts is on the rise. Processed chicken, on the other hand, continues to grow, especially online. After examining the consumption characteristics of consumers who buy chicken, it was found that the purchase share increased with increasing age of native Korean chickens, whereas the purchase share increased with decreasing age of processed chicken. Based on these results, we confirmed that it is necessary to establish differentiated marketing and promotion strategies for each consumer target for the growth of chicken market.

다차원 데이터의 군집분석을 위한 차원축소 방법: 주성분분석 및 요인분석 비교 (A dimensional reduction method in cluster analysis for multidimensional data: principal component analysis and factor analysis comparison)

  • 홍준호;오민지;조용빈;이경희;조완섭
    • 한국빅데이터학회지
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    • 제5권2호
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    • pp.135-143
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    • 2020
  • 본 논문은 농식품 소비자패널 데이터에서 소비자의 유형을 나눌 때에 변수간 연관성이 많은 장바구니 분석에서 전처리 방법과 차원축소의 방법을 제안한다. 군집분석은 다변량 자료에서 관측 개체를 몇 개의 군집으로 나눌 때 널리 사용되는 분석기법이다. 하지만 여러 개의 변수가 연관성을 가진 경우에는 차원축소를 통한 군집분석이 더 효과적일 수 있다. 본 논문은 1,987 가구를 대상으로 조사한 식품소비 데이터를 K-means 방법을 사용하여 군집화하였으며, 군집을 나누기 위해 17개의 변수를 선정하였고, 17개의 다중공선성 문제와 군집을 나누기 위한 차원축소의 방법 중 주성분 분석과 요인분석을 비교하였다. 본 연구에서는 주성분분석과 요인분석 모두 2개의 차원으로 축소하였으며 주성분분석에서는 3개의 군집으로 나뉘었지만 분석하고자 하였던 소비 패턴에 대한 군집의 특성이 잘 나타나지 않았으며 요인분석에서는 분석가가 보고자 하는 소비 패턴의 특징이 잘 나타났다.

대학교육비 지출 실태와 대학교육비가 가계재무에 미치는 영향 (Household Expenditures for University Education and Their Effects on Household Finance)

  • 문한나;이희숙
    • 대한가정학회지
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    • 제48권3호
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    • pp.71-86
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    • 2010
  • The purpose of this study was to find the characteristics of university education expenditure and how university education expenditure affected household finance such as total household expenditure after excluding education expenditure, savings, and debts respectively. The data were drawn from the 8th Korean Labor & Income Panel Study conducted by the Korean Labor Institute, and 563 households with children attending university were selected. The t-test, F-test (Duncan's multiple range test as post hoc test), OLS, and Heckman's two-step estimation were utilized by SAS 9.1 and SPSS 12.0 for Windows. The results were as follows: First, average annual tuition was found to be 6,170,000won(21.5% of total annual household expenditures) and average annual private education expenses were 4,920,000won(15.9% of total annual household expenditures). Second, the higher the household income levels, the more spent on university education, whereas the higher the household income level, the lower the household expenditure-to-university education ratio. Third, tuition and private education expenses had a negative impact on household expenditures after excluding education expenditure.

거주주택보유 여부에 따른 가계의 특성 분석 (The Differences of Household Characteristics between Homeowners and Renters)

  • 이희숙;김민정
    • 한국지역사회생활과학회지
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    • 제21권1호
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    • pp.91-103
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    • 2010
  • The purpose of this study was to find the differences of household characteristics between homeowners and renters. The data was drawn from the 2002 Korean Labor and Income Panel Study and conducted by the Korea Labor Institute. 3,743 households were selected. The householder's mean age of homeowners was found to be 8 years older than those of renters, and the households in Seoul showed a higher rent ratio than those in other areas. The levels of household financial elements for homeowners were found to be higher than those of renters. Moreover, the levels of total real estate assets for homeowners were higher than those for renters, and the levels of total debt, and the debt from financial institutes were also higher than those for renters, reflecting that most Korean households may use loans from financial institutes for holding real estate assets. The results of the Chow-test showed that the group of homeowners and renters were significantly different in terms of socio-demographic and financial factors affecting the ratio of real estate assets to total asset.

가족생활주기에 따른 가계 재무구조 분석 (Household Financial Structures by Family Life Cycle)

  • 김민정;이희숙
    • 한국지역사회생활과학회지
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    • 제21권1호
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    • pp.53-69
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    • 2010
  • The purpose of this study was to find how financial structures differ from the family life cycle. The data was drawn from the 2002 Korean Labor and Income Panel Study conducted by the Korea Labor Institute, and 1,957 households. The level of total income and subcategories of income were found to be significantly different from the family life cycle and showed tendencies to increase up to the period of child birth and then sharply dropped down during the retirement period. Household consumption expenditures in total and subcategories showed a U shape by family life cycle and were also found to be significantly different from the family life cycle. The consumption expenditure of dining out showed the highest level at the beginning of family establishment, whereas medical cost showed the highest level for later years. The level of total assets increased gradually from the family life cycle and a little decreased for the later years, and the level of real estate assets showed the highest ratio(90% over) out of total asset components of family life cycle.

돼지고기 부위별 수요함수 추정 - 수도권 소비자를 중심으로 - (The Estimation of the Demand Function of Pork Cuts)

  • 남국현;최영찬
    • 농촌지도와개발
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    • 제23권1호
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    • pp.27-37
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    • 2016
  • This paper estimated the demand function of the cuts of pork by using the consumer panel and the weather data from the Korea Meteorological Administration with a log-log model and AIDS model. The results show that the price elasticity of demand for cuts of pork is high in the sequence of arm shoulder, leg, special cuts, tenderloin, blade shoulder. In contrast, spare rib, belly and loin are classified as low price elasticity of demand. The income elasticities of demand for leg and blade shoulder are 11% and 7.6% respectively. The loin is classified as inferior goods, because demand decreases when income increases. The results also demonstrate show that the demand increases highly in the sequence of loin, arm shoulder, spare rib, belly if housewife is older, and the demand of belly increases when family number increases. Belly substitutes every cut except spare rib, and tenderloin substitutes special cuts. Spare rib, on the other hand, does not substitute other cuts. In addition, job status, family member, husband job, purchasing place, consumer characteristic, eating-out times, purchasing time, and weather are statistically significant.

가계의 주관적 경제상태와 객관적 경제구조 (Household Economic Structure and Subjective Evaluation on Economic Status of Households)

  • 김민영;이희숙
    • 대한가정학회지
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    • 제47권1호
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    • pp.25-43
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    • 2009
  • The purpose of this study was to find how economic structures differ among four different household groups('enough', 'so so', 'a little difficult', 'very difficult') classified by subjective evaluation on their economic conditions. The data were drawn from 2004 Korean Labor and Income Panel Study conducted by Korea Labor Institute, and $X^2$-test and F-test were utilized by SPSS for Windows 10.0. The major findings were as following. First, the economic levels of household groups of 'enough' and 'so so' showed to be higher than the average. This result implies that households tend to evaluate by themselves their economic conditions comparing to the others. Second, the deviations of average economic levels among four different household groups were relatively bigger in household economic elements of liquid asset, monthly savings and insurance than the others, and relatively smaller in household economic elements of total expenditure, especially expenditures in food at home, education, medical, communication than the others. Third, the households of 'a little difficult' and 'very difficult' showed undesirable economic structures resulting from lack of savings and insurance for their future.

소비자 특성이 커피와 차의 선택에 미치는 영향 - 수도권 소비자를 중심으로 - (The Effects of Consumers' Characteristics on their Selection of Coffee and Tea)

  • 남국현;최영찬;김종철
    • 농촌지도와개발
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    • 제23권2호
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    • pp.135-144
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    • 2016
  • This paper estimated how demographic characteristics, food selection preferences, daily physical activities, and food purchasing patterns of consumers affect the consumer choice to buy coffee and tea by analyzing the Consumer Panel data in 2014 using Multinomial logit model. The results are summarized as follows. First, factors such as age, income, employment status, and educational level were found to be statistically significant upon the impact analysis of consumers' demographic characteristics. Second, the study showed that the first group of consumers drinking less coffee and tea had the highest interest in health, followed by the third group drinking less coffee and more tea, the second group more coffee and less tea, and the fourth group more coffee and tea. In addition, it was also found that the fourth group's pattern to purchase more coffee and tea could be explained by consumers' food consumption patterns.

결혼이민자 여성소비자의 디지털정보격차지수 결정 요인: 연령별 차이 연구 (Age-related differences in the digital divide: Focusing on married female immigrants)

  • 김효정
    • Human Ecology Research
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    • 제56권3호
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    • pp.217-232
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    • 2018
  • This study analyzes the determining factors of the digital divide index in married female immigrants based on panel data from the National Information Society Agency (2016). There were 287 participants, all of whom owned a smartphone. The study divided the consumer groups into three age groups: 20-29, 30-39, and 40-49 years. SPSS 19.0 was used to statistically analyze the results. The findings of the analysis were described using frequency, descriptive, cross-tab, ANOVA, correlation, and multiple regression analysis. The findings of this research are as follows. First, nationality, acquisition of Korean nationality, and duration of living in Korea were significantly different among the three groups. Second, digital competency and online service usage were also significantly different among the three groups. Third, PC usage ability, mobile usage ability, and diversity of online usage significantly influenced the digital divide index in all age groups. Fourth, residential duration in Korea significantly decreased the digital divide index for groups in their 30s and 40s. Fifth, Loneliness significantly increased the digital divide index for groups in their 20s. Sixth, depression significantly increased the digital divide index for groups in their 30s. The study will help to further understand age-related differences and the digital divide of married female immigrants.

시니어 소비자의 모바일 디지털정보 활용의 결정 요인: 2차적 디지털 격차를 중심으로 (Determinants of Mobile Digital Information Usage among Senior Consumers: Focusing on secondary digital divide)

  • 김효정;이진명
    • Human Ecology Research
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    • 제56권6호
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    • pp.493-506
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    • 2018
  • This study analyzes factors that determine the usage of digital information by senior consumers in the mobile environment. Senior consumers are alienated from digital information in South Korea; therefore, there have been increasing attempts to resolve this digital divide and reduce the digital information usage gap between young adults and senior consumers. The study used panel data from the National Information Society Agency (2017); there were 1,463 participants, aged 50-79 years. SPSS 19.0 was used to conduct the statistical analyses for frequency, factor analysis, Cronbach' ${\alpha}$ analysis, descriptive analysis and hierarchical multiple-regression analysis. The results are as follows. First, negative attitude toward information society negatively influenced the mobile digital information usage in diversity context. Second, average monthly income, degree of digital device usage motivation, positive attitude toward digital device usage, digital literacy of PC & Mobile, and family support positively influenced the mobile digital information usage in diversity context. Third, negative attitudes toward information society negatively influenced the mobile digital information usage in quality context. Forth, average monthly income, degree of digital device usage motivation, positive attitude toward digital device usage, digital literacy of PC & mobile, and family support positively influenced the mobile digital information usage in quality context. The study results can help further understand mobile usage behaviors among senior citizens and the implications on their quality of life in the digital information era.