• Journal of Family Resource Management and Policy Review
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• v.10 no.4
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• pp.1-26
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• 2006

The study was the second part of the research on development of consumer education program as social education program. The purpose of this study was to analyze needs fur program contents. Program contents had two parts: educational program contents and program managements. The data used contained 617 married women living in Seoul, Korea. Using SAS-PC program, Chi-square and Anova Analyses were executed. The results showed that married women had higher educational needs on housing purchase, tax avoidance, cancellation of contracts after purchase, consumer redress, etc. The differences in age, education, householder's occupation, and household income level resulted in the differences in educational needs for some specific educational items. They were likely to be educated at the highly accessible place such as women's center, community center, University extension service center, and consumer organization, etc. Also they preferred to be educated once a week fur a short time period like one to three months, and to have the lectures with discussion in the class. Some implications were mentioned for developing consumer education program as social education.

• Korea journal of population studies
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• v.8 no.1
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• pp.65-86
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• 1985

Korean population is ecpected to reach about 50 million by year 2000. And per capita GNP might attain the $5,000 level. This is bound to have profound impact on housing. For one thing, population and income growth will accelerate new household formation thus increasing new housing needs. On the other, changes in the housing preference function in association with income growth and new way of life would mean increasing demand for better dwelling environment. In addition, by year 2000, there will be many more elderly households necessitating new approaches to housing. The question is whether or not Korea could cope with new housing perspectives. If Korean housing has made in the past some progress in housing quality, it has not been able to tackle the mounting housing shortage. This is attributable to the concentration of effective housing demand in the hands of upper income groups in association with skewed income distribution and sustained dwelling price hike. Korea needs some basic changes in housing policy. The public sector should produce much more small dwellings either for sales or renting. Second, mortgage loans should be expanded so as to increase the access to housing. Third, every thing must be done to cut down the dwelling price through tax cut, relaxation of some requlations, cyclical stabilization of dwelling construction and loan subsidies.

• Health Policy and Management
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• v.29 no.1
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• pp.86-89
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• 2019

Catastrophic health expenditure refers to spending more than a certain level of household's income on healthcare expenditure. The aim of this study was to investigate the proportion of households that experienced catastrophic health expenditure between 2006 and 2017 with the National Survey of Tax and Benefit (NaSTaB) and between 2011 to 2016 using Households Income and Expenditure Survey (HIES) data. The results of the NaSTaB showed 2.16% of households experienced the catastrophic health expenditure in 2017. In trend analysis, the NaSTaB revealed a statistically significant decreasing trend (annual percentage change [APC] = -2.01, p<0.001) in the proportion of households with the catastrophic health expenditure. On the other hand, the results of the HIES showed 2.92% of households experienced the catastrophic health expenditure in 2016. Also, there was a slightly increasing trend (APC= 1.43, p<0.001). In subgroup analysis, groups with lower income levels were likely to experience catastrophic health expenditure. In conclusion, further public support system is needed to lower experience these healthcare expenditures and monitor the low income group.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.222-237
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• 2022

This study was performed to predict change of forestland area in future to 2050 based on System Dynamics Model which is based on feedback loop by causal relationship. As forestland area change in the future depends on potential forestland conversion demands, each demand type of forestland conversion such as agricultural, industrial, public and residential/commercial use was modeled using annual GDP, population, number of household, household construction permission area (1981~2019). In results, all of conversion demands would have continuously decreased to 2050 while residential and commercial land would be reduced from 2034. Due to such shortage, eventually, total of forestland in South Korea would have decreased to 6.18 million ha when compared to current 6.29 million ha. Moreover, the forestland conversion to other use types must be occurred continuously in future because most of forestland is owned privately in South Korea. Such steady decrement of forestland area in future can contribute to the shortage of carbon sink and encumber achievement of national carbon-neutral goal to 2050. If forestland conversion would be occurred inevitably in future according to such change trends of all types, improved laws and polices related to forestland should be prepared for planned use and rational conservation in terms of whole territory management. Therefore, it is needed to offer sufficient incentive, such as tax reduction and payment of ecosystem service on excellent forestland protection and maintenance, to private owners for minimizing forestland conversion. Moreover, active afforestation policy and practice have to be implemented on idle land for reaching national goal 'Carbon Neutral to 2050' in South Korea.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.3
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• pp.502-516
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• 2014

This study has decomposed the Gini coefficient using Korean Labor & Income Panel Study data and empirically analyzed the impact of demographic characteristics and source-specific income of householder on the household income gap using panel analysis. The scope of areas were divided into 'nationwide,' 'metropolitan areas,' and 'non-metropolitan areas,' and the period before and after the global financial crisis was examined. The analysis findings are as follows. First, when the entire period was examined by income source using Gini decomposition with division of areas into 'nationwide,' 'metropolitan areas,' and 'non-metropolitan areas', the following results were revealed. The absolute and relative contribution level of property income to the gross income was the largest in the category of 'nationwide' and 'metropolitan areas,' while the contribution level of earned income was the largest in the category of 'non-metropolitan areas'. In addition, property income worsened the household income gap the most in the category of 'nationwide' and 'metropolitan areas.' Second, property income worsened the household income gap less after the financial crisis than before the crisis. It is probably because the price of real estate skyrocketed before the global financial crisis, worsening the household income gap, whereas the price drop after the crisis temporarily alleviated the gap. Third, a correlation analysis revealed that households with older householders whose education is high school graduation or below had relatively low gross income, and households with higher source-specific income, especially earned income, had relatively high gross income. Fourth, when the household income determinants were compared through panel analysis with division of areas into 'nationwide,' 'metropolitan areas,' and 'non-metropolitan areas,' the following results were obtained. While the impact of earned income, financial income, and other incomes was greater in non-metropolitan areas than in metropolitan areas, the impact of property income was greater in metropolitan areas than in non-metropolitan areas. To reduce the income gap, the government should impose higher taxes on the high-income class and provide tax benefits to the low-income class, with efforts to create a wide variety of jobs. In addition, since income inequality gets worse as the proportion of incomes generated through asset holdings becomes higher, the government should focus on stabilizing property prices while paying attention to the regional differentiation when carrying out related policies.

• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.6
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• pp.12-21
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• 2009

This study focused on the estimation of econcmic value and the evaluation of attitudes toward plans for the establishment of a walking tour as a public service in the city of Gwacheon. A value analysis based upon 152 questionnaires returned by the residents of Gwacheon and 175 questionnaires from the users of Seoul Race Park in Gwacheon utilized a CVM(Contingent Valuation Method) approach to estimate use value, non-use value, and potential value. The results show that 69.8% of residents and 60.0% of Seoul Race Park users had an interest, 81.6% of residents and 89.7% of Seoul Race Park users agreed to the proposed plan, and 67.8% of residents and 69.7% of Seoul Race Park users expressed a willingness to pay an additional tax or admission fee. The estimated WTP for an additional resident tax per household/year is 11,721 won while it was an additional 750 won per admission for the Seoul Race Park user group. Based on these results, the estimated total economic value of all households/year and the user group over a period of 5 years is 9,997 hundred million won, which was a doubling of the 1.4 in value of total construction costs. The results of this study strongly support the establishment of a walking tour street plan as a public service commodity.

• Journal of Distribution Science
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• v.12 no.4
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• pp.31-39
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• 2014

Purpose - This study investigates the following two issues. First, we attempt to find the important determinants of housing investment and to identify their significance rank using survey panel data. Recently, the expansion of global uncertainty in the real estate market has directly and indirectly influenced the Korean housing market; households demonstrate a sensitive reaction to changes in that market. Therefore, this study aims to draw conclusions from understanding how the impact of financial strength of the household is related to house investment. Second, we attempt to verify the effectiveness of diverse indices of financial strength such as DTI, LTV, and PIR as measures to monitor the housing market. In the continuous housing market recession after the global crisis, the government places top priority on residence stability. However, the government still imposes forceful restraints on indices of financial strength. We believe this study verifies the utility of these regulations when used in the housing market. Research design, data, and methodology - The data source for this study is the "National Survey of Tax and Benefit" from 2007 (1st) to 2011 (5th) by the Korea Institute of Public Finance. Based on this survey data, we use panel data of 3,838 households that have been surveyed continuously for 5 years. We sort the base variables according to relevance of house investment criteria using the decision tree model (DTM), which is the standard decision-making model for data-mining techniques. The DTM method is known as a powerful methodology to identify contributory variables for predictive power. In addition, we analyze how important explanatory variables and the financial strength index of households affect housing investment with the binary logistic multi-regressive model. Based on the analyses, we conclude that the financial strength index has a significant role in house investment demand. Results - The results of this research are as follows: 1) The determinants of housing investment are age, consumption expenditures, income, total assets, rent deposit, housing price, habits satisfaction, housing scale, number of household members, and debt related to housing. 2) The impact power of these determinants has changed more or less annually due to economic situations and housing market conditions. The level of consumption expenditure and income are the main determinants before 2009; however, the determinants of housing investment changed to indices of the financial strength of households, i.e., DTI, LTV, and PIR, after 2009. 3) Most of all, since 2009, housing loans has been a more important variable than the level of consumption in making housing market decisions. Conclusions - The results of this research show that sound financing of households has a stronger effect on housing investment than reduced consumption expenditures. At the same time, the key indices that must be monitored by the government under economic emergency conditions differ from those requiring monitoring under normal market conditions; therefore, political indices to encourage and promote the housing market must be divided based on market conditions.

• Environmental and Resource Economics Review
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• v.16 no.2
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• pp.275-311
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• 2007

Hydrogen energy is emphasized as a substitutable energy of carbon-based energy system in the future, since it is non-depletable and clean energy. Long term vision of Korean government on the national energy system is to promote hydrogen energy by 15% of final energy demand until 2040. This study analyzes economic impacts of hydrogen energy development employing a dynamic CGE model for Korea. Frontier technology such as hydrogen energy is featured as slow diffusion at the initial stage due to the learning effect and energy complementarity. Without government intervention, hydrogen energy would be produced upto 6.5% of final energy demand until 2040. However, if government subsidizes sales price of hydrogen energy by 10%, 20%, and 30%, share of hydrogen energy would increase 9.2%, 15.2%, and 37.7% of final energy demand. This result shows that the slow diffusion problem of hydrogen energy as frontier technology could be figured out by market incentive policy. On the other hand, production levels of transportation sector would increase while growth rate of oil and electricity sectors would decline. Household consumption would be affected negatively since increase of consumption due to the price decrease would be overwhelmed by income reduction owing to the increase of tax. Overall, GDP would not decrease or increase significantly since total production, investment, and export would increase even if household consumption declines.

• Journal of the Korean Regional Science Association
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• v.31 no.3
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• pp.79-97
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• 2015

This paper attempts to quantify the economic value of the recreational benefits from the Jangheung dam. To this end, the contingent valuation (CV) survey was administrated to a sample of randomly selected 1,000 households from the national population. We used single-bounded model as a method of eliciting the willingness to pay (WTP) and applied a spike model to deal with zero WTP responses (72.5%) from the CV survey. The respondents were asked to state whether to pay a given amount through additional higher income tax once a year for next ten years. The results show that the annual recreational benefits of the Jangheung dam are estimated to be 1,348 won per household, which is statistically significant at the 1% level. Expanding the value to the national population gives us 24.9 billion won per year.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.151-160
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• 2017

Giving behavior can be defined to be a behavior intended to benefit the society's charity works and public works via sharing one's financial resources. The determinants of giving behavior largely consist of sociodemographic factors, such as the income, age, gender, religion, education level, residential areas, and tax deduction policy, etc. This paper considers the income level, self-esteem, and perceived responsibility toward social welfare, as the major research variables. Statistical results, based on 2014 Korean Welfare Panel data, show that the income level and self-esteem have positive influence on participation intention in charitable giving. However, welfare responsibility has negative impact on participation intention. Second, household income was the only salient, negative factor for giving efforts defined as the amount of donation over income, implying that the higher income brackets are giving less money relative to their income level, than those with lower income level. Contrary to our expectation, self-esteem and welfare responsibility were not statistically significant explanatory variables.