• Journal of the Korea Convergence Society
• /
• v.12 no.1
• /
• pp.267-274
• /
• 2021

This paper examines the impact of the Basic Pension scheme in terms of poverty reduction and income distribution among elderly households by focusing on the differences in the household type. It compares the data before (2013) and after (2016, 2019) the introduction of Basic Pension by using Household Income and Expenditure Survey data. Empirical analyses indicate that, first, the overall income and the public income transfer of the elderly households increased during the period compared. Second, the poverty rate was considerably higher for the elderly living alone than for other household types. The government policy led to poverty-reduction for all types of elderly households, wherein the effect was most profound in the case of elderly living with spouse. Third, income distribution improved for all types of elderly households, though maximum margin was observed in the case of the elderly living alone. Fourth, according to the multivariate logit regression, the Basic Pension had a positive impact on reducing the risk of poverty (defined as below 40% of median income) among the elderly households.

• Journal of the Korea Convergence Society
• /
• v.13 no.5
• /
• pp.389-400
• /
• 2022

This study was conducted to identify factors influencing mental health of one-person household members. Using data from the 2019 Korea National Health and Nutrition Examination Survey, 768 subjects were included. The SPSS/Win 21.0 program was used, and the complex sample design data were analyzed by Rao-Scott 𝑥² test and multiple logistic regression analysis. Of the subjects, 29.9% perceived high stress, 16.2% felt depressed, and 8.2% had suicidal ideation. The influencing factors of stress perception were age and subjective health status(p<.001). Factors influencing depressed mood were household income, subjective health status, and perceived stress(p<.001). Factors influencing suicidal ideation were age, household income, subjective health status, perceived stress, and depressed mood(p<.001). The results of this study can be used as basic data for improving mental health services of one-person household members.

• Journal of Preventive Medicine and Public Health
• /
• v.55 no.2
• /
• pp.153-163
• /
• 2022

Objectives: This study divided the factors that affect participation in health screenings into individual, household, and regional levels and conducted a multi-level analysis to identify the factors related to participation in health screenings. Methods: Participants from the 2017 Community Health Survey were classified into 2 groups (under 40 and 40 or older). A multi-level logistic regression analysis was conducted to identify the factors that affected participation in health screenings. Results: The screening rate of the participants was 69.7%, and it was higher among participants aged 40 and older (80.3%) than it was among participants younger than 40 (49.8%). At the individual level, the factors that influenced participation in health screenings included age, economic activity, smoking status, physician-diagnosed hypertension, and a moderate or high physical activity level. At the household level, the odds ratio of participation in health screenings was high for participants who lived in single-person households, lived with a spouse, earned a high monthly household income, and were not beneficiaries of national basic livelihood security. At the regional level, the odds ratio at the 95% confidence interval level of participation in health screenings was high for participants who had trust in the local community and lived in an area with a proportionally high social welfare budget. Conclusions: This study analyzed nationalwide data and confirmed that individual, household, and regional characteristics affected participation in health screenings. Therefore, policies that prioritize the improvement of regional level factors and especially household level factors are likely to be the most effective for improving the screening rate.

• Journal of the Korean Home Economics Association
• /
• v.42 no.11
• /
• pp.205-222
• /
• 2004

The purposes of this study were to examine urban household's monthly expenses for public pension and to analyze the contributing factors. Data for this study were from the 2002 Urban Household Survey and consisted of a sample of 21,093 urban households. Statistics used for the analysis were frequencies, means, ANOVA and multiple regression analysis. The major findings were as follows ; First, the average urban household monthly payment for the public pension was 104,036 won, consisting of 102,757 won for single earner households and 106,014 won for dual earner households. Second, the highest expenses for monthly public pension was urban households, followed by male household head(HH), HH's age from 41-50 years, HH's educational level was college, HH's job was public servant, family didn't live in Seoul, family w3s an extended family and family owned the house. Third, the significant factors affecting the urban household's monthly public pension were HH's gender, age, educational level, type of job, region, type of family, number of children, type of earner, monthly total income, increase of asset in a month and house ownership.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.1
• /
• pp.313-320
• /
• 2020

This study aims to analyze the household economic behavior of salt farmers participants in Salt Business Empowerment Program (Pugar) including of salt production, work flow, household revenue, the behavior of consumption of food and non-food items and the welfare level. This research followed a survey method by engaging 32 household farmers as participants. The findings revealed that the empowerment program was carried out through the technical assistance of salting production and the assistance of equipment and technology from Thread of Screw Filter and geoisolators to improve the quality of salt. The problems come when the marketing of salt is still limited to the collectors of salt which led to the price of salt level, manufacturers have not remained stable. Household revenue sources for some salt farmers also come from non-salt pond business activities. Farmer household revenue can be used to meet staple food consumption and non-food staple consumption. Based on the indicators of family welfare, households participating in the empowerment program were group into the category of prosperous families. In order to stabilize the price of salt at the producer level, government intervention in the people's salt trading system is needed.

• Journal of Families and Better Life
• /
• v.10 no.2
• /
• pp.1-18
• /
• 1992

The purpose of this study is to consider the socio-economic development and policy in each five-year economic development plan influences of urban households and to seek a plan of household stability and reasonable consumption expenditure on the aspect of Family economics. Data is based on the "Annual Report on the Family Income and Expenditure survey" of the National Bureau of Statistic Economic Planning Board, Republic of Korea and analyzed as follows: First, in analysis to the structure of consumption expenditure, the averaged percentage of each item to total consumption expenditure is estimated by each Economics Development Plan year. Second, in order to analyze the relative importance value of household consumption expenditure, priority correlation order is derived from comparison of characteristics of household consumption expenditures by multiple regression analysis. Third the patterns of consumption expenditure of salary and wage earner's households in all cities are estimated by the household consumption function, marginal propensity to consume, and income elasticity, according to socio-economic variable, and demographic variable. In the recent Korean economy, income level of household is increased and consumption expenditure level is largely increased because of the execution of economic development plan. But the improvement of income derives the increasment of the consumption needs and over-consumption trend is spread due to the import liberization. And above all, the reasonable household management and economic life are needed.

• The Korean Journal of Applied Statistics
• /
• v.22 no.3
• /
• pp.667-676
• /
• 2009

This study investigates the effect of survey refusal and noncontact on the nonresponse error in the household survey. For this purpose we analyzed the data of the interviewer's field work report. The survey data quality is affected by nonresponse rate and nonresponse error, and also nonresponse rate measures the reliability of the survey data. The household survey mainly contains two types of nonresponses of refusals and noncontacts. These refusals and noncontacts have different effect on the nonresponse error. This could be a venue for future research interested in decreasing the error due to noncontacts and refusals.

• Survey Research
• /
• v.5 no.1
• /
• pp.1-26
• /
• 2004

The aim of this study lies in answering the question "How to form weighting cells to enhance sample representativeness in telephone, Internet and mobile surveys\ulcorner". For this, we explored 2% raw data of Year 2000 Population and Housing Census of Korea looking for meaningful patterns for ownership of telephones, the usage of Internet and/or mobile phones. We found that telephone coverage rates vary significantly by household size; 84.6% for one member households, contrasting 98.5% for two-or-more member households. Thus, telephone survey samples need to be weighted differently in sub-groups by household size for proportional representation of target population. Searching socio-demographic factors influencing the use of Internet by C5.0 tree models, we found that education levels and the occupation (or housing type, the automobile ownership) are two most important factors in addition to gender and age. Thus, surveyor might form weighting cells by such factors at the stage of post-stratification or set quotas, a priori, proportional to size of the cells by such factors. For mobile surveys, we approached similarly and found that education levels and the occupation (or the automobile ownership, marriage status) are two additional factors that may be used in forming weighing cells or in setting quotas for cells.

• Land and Housing Review
• /
• v.15 no.3
• /
• pp.97-111
• /
• 2024

Greenhouse gas emissions and environmental pollution persist globally, leading to an increase in extreme weather events, such as floods and droughts. Previous studies have investigated various factors for energy consumption, such as household, residential, economic, and social characteristics. However, the body of research examining energy-saving behavior and perceptions remains limited and underexplored. In particular, significant differences in energy conservation perceptions can be observed among individual household members, even within the same household. To this end, this study explores how household energy consumption is associated with various factors, including household characteristics, housing characteristics, energy-saving behaviors, and seasonal factors. We utilize survey data from the Household Energy Panel, spanning a 24-month period from January 2018 to December 2019, comprising a sample of 5,897 households across 17 cities and provinces nationwide. The findings of this study are expected to offer an empirical evidence for household energy-saving policies.

• Journal of Korean Society of Transportation
• /
• v.30 no.2
• /
• pp.7-20
• /
• 2012

The objective of this paper is to construct pseudo-panel data set and estimate price and income elasticities of car travel demand, using 1995-2007 household income and expenditure survey data, in order to provide quantitative information for analyzing related policy effects in the transport sector. We categorized household survey data into 14 cohorts based on the birth year of the household head. As the result, a total of 133 pseudo-panel data sets was created for estimating price and income elasticities of car travel demand. Especially, price and income elasticities of car travel demand were separately estimated both short-term and long-term. We analyzed the panel model considering fixed effect within cohorts, using explanatory variables such as previous year's fuel consumption, real household income after tax, education level of the household head, the number of children under five, and the share of household type averaged by cohorts. As results, the short-term and long-term price elasticities of car travel demand were calculated as 0.2974-0.4280 and 0.4087-0.6275, respectively. Similarly, the short-term and long-term income elasticities were calculated as 0.3364-0.6281 and 0.7098, respectively.