• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.2
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• pp.153-158
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• 2018

At the Bank of Korea, capital stock statistics were created by the PIM (perpetual inventory method) with fixed capital formation data. Asset classifications also included 2 categories in residential buildings, 4 non-residential buildings, 14 constructions, 9 transportation equipment, 28 machinery, and 2 intangible fixed assets. It is the Korean government accounting system which is developed much with the field of the national accounts including the valuation, but until 2008 it was consistent with single-entry bookkeeping. Many countries, including Korea, were single-entry bookkeeping, not double-entry bookkeeping which can be aggregated by government accounting standard account. There was no distinction in journaling between revenue and capital expenditure when it was consistent with single-entry bookkeeping. For example, we would like to appropriately divide the past budget accounts and the settlement accounts data that have been spent on dredging into capital expenditure and revenue expenditure. It, then, tries to add the capital expenditure calculated to FCF (fixed capital formation), because revenue expenditure is cost for maintenance etc. This could be a new direction, especially, in the estimation of capital stock by the perpetual inventory method for infrastructure (SOC, social overhead capital). It should also be noted that there are differences not only between capital and income expenditure but also by other factors. How long will this difference be covered by the difference between the 'new series' and 'old series' methodologies? In addition, there is no large difference between two series by the major asset classification level. If this is treated as a round-off error, this is a problem.

• Journal of Family Resource Management and Policy Review
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• v.16 no.4
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• pp.131-152
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• 2012

The aims of this study were to analyze middle-aged households' financial preparation for retirement. Specifically, this study surveyed the relation between human capital investment for children and the middle-aged households' financial preparation for retirement and investigated factors influencing financial preparation for retirement. Data were obtained from the 3rd Korean Retirement and Income Study (KReIS) in 2009, and a sample of 757 households was selected. The statistical methods were frequency, percentile, mean, standard deviation, ${\chi}^2$, t-test, Pearson's correlation coefficient, and logistic regression analysis. The findings of this study are as follows. First, the percentile of preparation for living costs for old age was 49.9% for the middle-aged households. In terms of the types of preparation for living costs for old age, the results showed 61.6% of personal preparation, 33.9% of pension system, and 1.3% for children and relatives. In relation to the adequacy of the preparations for living costs for old age, preparations made by 57.4% of the middle-aged households were inadequate. Observing the minimum living costs for old age and adequate living costs after retirement for single and couple, the minimum living costs of the middle-aged households was 1.46 million won for couple and 0.91 million won for single. The adequate living costs for old age was 2.07 million won for couple and 1.34 million won for single. Second, there were 757 households with total education expenditure. Of these, 208 incurred annual expenditure on public education, and the annual expenditure for public education was 7.28 million won. There were 170 households with annual expenditure for private education, and the annual expenditure for private education was 2.50 million won. 243 households of middle-aged households had annual expenditure for human capital investment, including both public and private education, with annual expenditure for human capital investment for children of 7.82 million won. Furthermore, in the human capital investment factor, there was a difference in the middle-aged households' financial preparation for retirement according to their annual expenditure for human capital investment including both public and private education. In addition, there was a difference in financial preparation for retirement based on their public education expenditure. Third, in the logistic regression model 1, which included human capital investment, the significant variables affecting the preparation for retirement of the middle-aged households were as follows : annual household income, total amount of annual household income, experience of inadequate living costs, existence of financial assets, total amount of annual household savings, financial independence, adequate living costs (for single) for old age, and human capital investment. In the logistic regression model 2, which included annual expenditure for public education and annual expenditure for private education, the significant variables affecting the preparation for retirement of the middle-aged households were as follows : annual household income, total amount of annual household income, experience of inadequate living costs, existence of financial assets, total amount of annual household savings, financial independence, adequate living costs (for single) for old age, and annual expenditure for public education.

• Journal of Advanced Navigation Technology
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• v.16 no.6
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• pp.1116-1122
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• 2012

Many researches predicted the linear relationship between discretionary expenditure and sales amount in manufacturing companies. We review their relationship based on financial reports of KOSDAQ and KOSPI listed companies in category of non-durable goods. Also we review the relationship between expenditure on intangible capital and sales amount in aviation service and related manufacturing firms. Identified manufacturing firms showed linear relationship between R&D expenditure and sales amount. On the contrary, aviation service and related manufacturing companies do not have linear relationship between expenditure on intangible capital and sales, while their general management and sales expenditure has linear relationship with sales. It shows aviation service and related manufacturing company keep advertising or R&D related expenditure as sales revenue decreases, while manufacturing companies of non-durable goods has a tendency to reduce it as sales revenue decreases.

• Journal of the Korean Home Economics Association
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• v.41 no.5
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• pp.221-232
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• 2003

This study examined the investment in human capital of Korean urban households. Data for this study were from the 2001 Household Income and Expenditure Survey and consisted of a sample of 2,681 households. The results of Gini's concentration coefficient showed high inequality of investment in human capital. To investigate which factors influence investments in human capital, various socio-demographic variables were analysed. High investment in human capital is shown in high society indicating that they transmit the advantage of education to their descendants. The results of this study is useful for welfare professionals who work in family well-being.

• Korea Trade Review
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• v.44 no.3
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• pp.123-136
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• 2019

This study investigates the facilitating factors of FDI (foreign direct investment) inflows in 15 developing countries of three continents (Asia, Latin America, and Africa) using fixed-effect panel regression analysis with 30-year macro socio-economic data. The facilitating factors of FDI inflows in each continent differed. In Asia, labor compensation, GDP, consumer expenditure, human capital, and export facilitated FDI inflows in decreasing order, as did export, total factor productivity, GDP, and human capital in Latin America, and investment expenditure, human capital, government expenditure, and export in Africa. Most importantly, the character of cost saving efficiency-seeking investment was very strong in Asia. Also, third-party export-oriented investment and economic growth-oriented investment were shown in Latin America and Africa, respectively.

• 사회경제평론
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• no.38
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• pp.163-198
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• 2012

This analysis suggests a post Keynesian macro-dynamic model that integrates a financial variable, firm's debt, into the post Keynesian model of growth and distribution. On the basis of it, this study analyzes the effects of government financial expenditure on capital accumulation empirically. It also studies empirically whether a regime shift has arisen since Asian financial crisis in 1997. This paper shows that government financial expenditure has exerted an positive effect on capital accumulation. This empirical result supports government intervention in financial market in recurrence of financial crises. This study also finds grounds for a change in accumulation regime since Asian financial crisis in 1997.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.117-127
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• 2021

This study was conducted to comprehensively identify factors that potentially influence corporate investment behavior, including micro, macro, and sectoral variables. Furthermore, investment behavior was studied across nations based on their participation in the global value chain (GVC), which was evaluated based on commodities, limited manufacturing, advanced manufacturing, and innovative activities. The study uses the dynamic panel data analysis and Generalized Method of Moment (GMM) estimation for a sample of 800 corporations, with data spanning over 2000-2019. The study result shows that in all types of countries, the coefficient lag indicator of capital expenditure statistically has a significant effect on capital expenditure. Sales growth, exchange rate, and GDP have a significant positive effect on corporate investment growth, while DER has a negative effect. In commodity countries, corporate investment is influenced by sales growth, exchange rate, and FCI. The variables that influence corporate investment in manufacturing countries are the FCI, exchange rate, sales growth, GDP, and DER. In innovative countries, variables that significantly affect capital expenditure are DER, GDP, and Tobin Q. In each type of country, the interaction terms between exchange rate and commodity price are positive and statistically significant.

• Journal of Families and Better Life
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• v.14 no.2
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• pp.171-171
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• 1996

The Purpose of this study is to find out factors which affect the expenditure on educations for children's human capital and to provide fundamental information to make a policy for education. Data are obtained from 2484 maried couples with children on the pre-school or over. The results of this study are as follows: 1) If the eldest child was in pre-school or public school, the expenditure on private education was higher than that of public education. While in the beyond junior high school, the expenditure on public education was much higher. 2) Life-cycle, the number of children, region, earned income, non-earned income, real assets, Engel's coeeficient were significant impact on the expenditure of education.

• Journal of Cadastre & Land InformatiX
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• v.51 no.2
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• pp.151-168
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• 2021

This study compared and analyzed the effect of the burden of household expenditure in the metropolitan and non-metropolitan areas on the intention to childbirth intention to married women using a panel logit model. To this end, this analysis targeted married women aged 25 to 39 who are highly likely to be fertile. The main results are as follows; First of all, it was confirmed that the economic power of spouse can be an important factor in the childbirth intention regardless of region. Second, it was found that the higher the satisfaction of marriage had a positive effect on the childbirth intention, and also higher the value that children must have, the higher the childbirth intention. Third, it was confirmed that the burden of household expenditure is the most important factor in the willingness to childbirth intention, excluding factors such as the number of existing children. In particular, the burden on education spending in both the capital region and non-capital region was found to be a key reason for the decrease in the childbirth intention. Lastly, the burden of household expenditure showed different effects on childbirth intention on depending on the region. Specifically, in the capital region, medical spending and loans had a greater impact, while, in the non-capital region, transportation and communication costs had a greater impact on childbirth intentions. Through the results, this study confirmed the implication that easing the burden on household expenditure is continuously necessary to enhance childbirth, and that discriminatory policy approaches are required depending on the area of residence.

• Journal of Families and Better Life
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• v.23 no.3 s.75
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• pp.63-76
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• 2005

Using the data from the Family Income & Expenditure Survey, this study investigated (1)the factors determining the level of burden of the private educational expenditure in households; (2) the influences of the level of the burden of private educational expenditure on the other household expenditures. For the analysis of data Chi-square, GLM, Multinomial legit, and Seemingly Unrelated Regression were applied. The major findings were: (1) The factors associated with the burden of private educational expenditure were the number of students by each of the school levels, housing tenure, location of residence, educational attainment of householder; (2) Households with the lower level of burden of the private educational expenditure adjusted the allocation of the expenditure shares of food, utility, and transportation and did not reduce the levels of consumption. Households with the higher level of burden of the private educational expenditure adjusted the extensive ranges of the household expenditure shares and reduced the levels of consumption.