This study was designed with the purpose to analyze the factor structure of family life events and to clear the influence of related variables on family life events. The frequence of experienced events and the degree of importance of events which were the constituent components of family life events was estimated by the 650 married woman in Kangju. The results were as follows: 1. 15 factors of family life events derived by factor analysis: F.1「Expenditure and economic loss」, F.2「Growth and change of children」, F.3「Change of family structure」, F.4「Family's change」, F.5「Change of life level」, F.6「Family's social problem」, F.7「Need of care」, F.8「Family's health」, F.9「Marital relationship」, F.10「Family's social damage」, F.11「Breach with acquaintance」, F.12「Financial difficulties」F.13「Husband's problem」, F.14「Housewives' social activity」, F.15「Kinship's support」. 2. There frequence of experienced family life events such as expenditure and economic loss and breach with acquaintance was highest. 3. The degree of importance about experienced family life events such as growth and change of children was highest. 4. Age, family life cycle have significantly differenced on the degree of importance and the frequence of experienced events. 5. Education's level, family size, income, housewives' employment and family structure have differently differenced on the degree of importance and the frequence of experienced events according event factor.
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.
Public expenditures on long-term care are a matter of concern for Korea as in many other countries. The expenditure is expected to accelerate and to put pressure on public budgets, adding to that arising from insufficient retirement schemes and other forms of social spending. This study tried to foresee how much health care spending could increase in the future considering demographic and non-demographic factors as the drivers of expenditure. Previous projections of future long-term expenditure were mainly based on a given relation between spending and age structure. However, although demographic factors will surely put upward pressure on long-term care costs, other non-demographic factors, such as labor cost increase and availability of informal care, should be taken into account as well. Also, the possibility of dynamic link between health status and longevity gains needs to be considered. The model in this study is cell-base and consists of three main parts. The first part estimated the numbers of elderly people with different levels of health status by age group, gender, household type. The second part estimated the levels of long-term care services required, by attaching a probability of receiving long-term care services to each cell using from the sample from current year. The third part of the model estimated long-term care expenditure, along the demographic and non-demographic factors' change in various scenarios. Public spending on long-term care could rise from the current level of 0.2~0.3% of GDP to around 0.44~2.30% by 2040.
Purpose - Food consumption in Korea has changed in paradigm as it has grown qualitatively in the past in quantitative shortages. Consumer food consumption patterns are rapidly changing due to changes in economic, social and population conditions, scientific and technological development, climate change, and market opening. At the same time, there is a need to actively respond to these changes in terms of the food industry, market, and government policy. The purpose of this study is to examine the changes and characteristics of food consumption expenditure of Korean consumers in-depth and depth in order to provide implications for agriculture, food market and policymakers. Research design, data, and methodology - We analyzed various food consumption changes from the 1980s to 2015 through Household Income and Expenditure Survey raw data from MDIS(Microdata Integrated Service) of Statistics Korea. and conducted the age effect, generation effect, and year effect by cohort analysis. We also conducted comparisons with OECD countries on several indicators. Results - Food consumption spending was slow, and there was no significant change in home consumption, while eating out consumption increased about 20 times in 2015 compared to 1980. Income, age, residential area, number of household members showed significant changes in food consumption. According to the cohort analysis, the changes in the food consumption structure are largely due to age effect, and the year, age, and generation effects are different for each food item. Conclusions - Food consumption has a significant impact on not only the nutritional status of consumers but ultimately the public health. Therefore, they should be regarded as a strategic policy area of central government rather than a matter of size and change of food consumption expenditure.
This paper analysis the structure of Housing Consumption Expenditure of urban salary and wage-earners' households from 1982 to 1992 by employing Time-series. Data was based on " Annual report on the Family Income and Expenditure Survey" of the National Bureau of Statistic Planning Board, Republic of Korea. Percentile marginal-propensity to consume(MPC) and income elasticity of consumption expenditure are estimated by their socio-economic and demographic variables. The results are as follows: 1. The proportion of the expenditure for furniture and utensils and house mending has increased with the increase of income in urban salary and wage-earners' households, while fuel light and water charges and rents paid has decreased. 2.1) Engel Function by income group; MPC associated with rents paid and fuel light and water charges is higher in the lower income group than in the rest. The income elasticity estimates in rents paid and fuel light and water charges is less than 1 in all group while larger than 1 in furniture and utensils and house mending. 2) Engel Function by occupation of household head; The highest MPC in rents paid is associated with the sales profession. The income elasticity of fuel light and water charge is found be inelastic. The groups other than the sales group show irregular MPC. 3) Engel Function by family size; MPC in house mending and fuel light and water charge is increased while is decreased in rents paid in accordance with family size. The income elasticity of rents paid and fuel light and water charge is less than 1 in all groups while that of house mending and furniture and utensils is larger than 1. 4) Engel Function by age of housegold head; MPC in rents paid is decreased according to the age of housefold head. The income elasticity of rents paid and fuel light and water charge is less than 1 in all group while it is larger than 1.
The objective of this paper is to analyze expenditure structures and impact factors of household's transportation cost in order to provide policy-maker with quantitative and economic information for reducing household's transportation costs, using 1995-2007 household survey data. For this purpose, this study performed various economic analysis, including econometric regression analysis and income re-distributional effects. The four models were separately estimated with dependent variable (personal and public costs, public transit and private car costs) and independent variables (family, employ, age, education, cars, household income, region dummy variable). In addition, We analyzes impacts of transport policy instruments on the transportation expenditure. These instruments include changes of oil price and public transit fare, reform of public transport system, and extension of subway facilities. Finally, income re-distributional effects before and after transportation expenditure, using Pechman-Okner (PO) index and Wolfson index.
The purpose of this study was to analyze the economic structures of low-income households, and to provide the policy suggestions for their economic well-being. The data for this study was from the 2009 year of the Korea Welfare Panel Survey (KOWEPS). The results are as follows: As for income structure, the low-income households had lower amounts in earned income, business and side-work income, and property income, but a higher amount in transfer income. They had a lower amount in private transfer income, but a higher amount in public transfer income. They had the highest rate of transfer income, showing that the rate of public transfer income was higher than that of private transfer income, and the government assistance was the highest rate in public transfer income. The households in extreme poverty had the lowest amounts in earned income, financial income, private transfer income, but the highest amount in public transfer income. The households in poverty had the lowest amount in transfer income. The households in extreme poverty, poverty and near poverty showed the highest rate in transfer income. As for asset structure, the low-income households had a lower amount in every type of assets. They showed the highest rate in total debt, and had a higher rate in housing asset, but lower rates in real-estate asset, financial asset and other asset. The households in extreme poverty had a lower amount in every type of assets than the households in near poverty. Three types of the low-income households showed the highest rate in housing asset, but the households in extreme poverty was the highest among them. As for expenditure structure, the low-income households had lower amounts in all of the expenditure items. They showed the highest rate in food expenditure, the second highest in other consumption expenditure. The households in extreme poverty showed lower amounts in almost all of the expenditure items than the households in near poverty, but the households in extreme poverty showed a higher amount in monthly rent than the households in neat poverty. Three types of the low-income households showed the highest rate in food expenditure. The expenditure rates of food, monthly rent and light·heat·water for households in extreme poverty were higher than those for the households in near poverty.
Proceedings of the Korean Institute of Building Construction Conference
/
2015.11a
/
pp.81-82
/
2015
BIM has been a reliable construction project management tool to handle various kinds of construction information generated in the facility life cycle. To take these advantages, researchers have been promoted numerous studies in a residential, a commercial, and an educational facilities with a large number of on-going projects. However, despite running as the role of essential energy supplier, power plant related BIM research is relatively insufficient than others. In particular, due to the extending of the facility service period and the requirement of the complicated construction project management for 'overhaul' and 'repowering' in the power plant maintenance phase, the needs for using BIM have been increased gradually. For using BIM based maintenance, it is needed to consider an information collecting methods and necessary to develop an appropriate breakdown structure to share information. Therefore, 'EBS' is produced by reviewing the previous research related to BIM and analyzing the repair activities in the maintenance phase. Proposed 'EBS' must be useful not only a judgment between capital expenditure versus revenue expenditure but also appropriate maintenance strategies development for property management.
Kim, Sihyeon;Seong, Byeongchan;Choi, Young-Geun;Yeo, In-kwon
The Korean Journal of Applied Statistics
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v.35
no.4
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pp.553-568
/
2022
The Household Income and Expenditure Survey is a representative survey of Statistics Korea, which aims to measure and analyze national income and consumption levels and their changes by understanding the current state of household balances. Recently, the disconnection problem in these time series caused by the large-scale reorganization of the survey methods in 2017 and 2019 has become an issue. In this study, we model the characteristics of the time series in the Household Income and Expenditure Survey up to 2016, and use the modeling to compute forecasts for linking the expenditures in 2017 and 2018. In order to evenly reflect the characteristics across all expenditure item series and to reduce the impact of a specific forecast model, we synthesize a total of 8 models such as regression models, time series models, and machine learning techniques. In particular, the noteworthy aspect of this study is that it improves the forecast by using the optimal combination technique that can exactly reflect the hierarchical structure of the Household Income and Expenditure Survey without loss of information as in the top-down or bottom-up methods. As a result of applying the proposed method to forecast expenditure series from 2017 to 2019, it contributed to the recovery of time series linkage and improved the forecast. In addition, it was confirmed that the hierarchical time series forecasts by the optimal combination method make linkage results closer to the actual survey series.
We achieved both industrialization and democratization during the shortest period in the world. We also achieved good performance in national health insurance: universal coverage, solidarity in financing, equitable access of health care. However, national health insurance system has faced the problem of sustainability: various expenditure and financing problems. The problem of sustainablity has two facets of economic sustainability and fiscal sustainability. Economic sustainability refers to growth in health spending as a proportion of gross domestic product(GDP). Rapid increasing rate of health spending exceeds the growth rate of domestic product. Growth in health spending is more likely to threaten other areas of economic activity. Concern on fiscal sustainability relates to revenue and expenditure on health care. Health care financing face demographic and technical obstacles. Democratic obstacle is aging problem. Technical obstacle is collection of contribution. Expenditure of health care has various problems in benefit structure and efficiency of health care system. In this article, I suggest several policy reforms to enhance sustainability: generating additional revenue from value added tax, changing method of levying contribution, increasing efficiency of health care system by introducing the competition principle. restructuring of benefit scheme of health insurance. contracting with health care institutions to provide health care services.
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