• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.1
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• pp.236-246
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• 2012

Hospital out-shopping by local patients has become more popular. In particular, many cancer patients have visited hospitals in the capital area to get better medical services regardless of how far the hospitals are from their home. However this kind of hospital out-shopping may discontinue medical treatment and cause a waste of medical resources including manpower. In addition, it creates additional economic and social expenses such as caretakers' transportation and lodging expenses. It is necessary to study patients who would take the medical treatment in Busan go to Seoul for better medical services are more satisfied based on objective data. For this, a questionnaire survey has been performed against 223 cancer patients who had a surgery in Busan and 187 patents who had an operation in Seoul. According to the survey, the patients who had an operation in the capital area(Group A) were more satisfied than the patients who had a surgery in Busan(Group B) in terms of convenience facilities, doctors' competence. However the Group A was very dissatisfied in terms of accessibility and satisfaction on overall medical services.

• 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 Digital Convergence
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• v.20 no.4
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• pp.689-697
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• 2022

The purpose of this study is to analyze the difference before and after and the influencing factors health status according to the change in the timing of joined in the healthy city area, centering on the metropolitan area. The subjects of this study were divided into two areas. Using the Seoul Survey on Household Members, difference tests and multiple regression analyses were conducted to analyze differences according to timing changes and influencing factors on health status as of 2020. The difference in variables between regions 4 to 5 years and 1 year after joining the healthy city was different, and the factors affecting their health status were also different between regions 4 to 5 years after joining and regions 1 year after joining, so it is necessary to implement policies in consideration.

• Cement
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• s.166
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• pp.4-12
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• 2005

• Intergrated Energy Industry
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• s.2
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• pp.33-35
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• 2005

• 대학교육
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• s.177
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• pp.16-26
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• 2012

• Bulletin of Korea Environmental Preservation Association
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• v.11 no.10
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• pp.12-17
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• 1989

• Daejeon Development Forum
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• s.28
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• pp.49-57
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• 2008

• Journal of the Korean Geographical Society
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• v.43 no.4
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• pp.580-598
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• 2008

Focusing on 'growing together' strategies through horizontal fiscal equalization systems, this and subsequent papers aim to suggest regional co-development strategies in which conflicts between the Seoul Metropolitan Area(SMA) and the non-SMA can be efficiently alleviated. Regarding the socio-economic relationships between the SMA and the non-SMA, there are two contradictory perspectives. One perspective is that the SMA grows at the expense of the non-SMA. The other perspective is that non-SMA's economy is somehow entirely dependent on the economic activities occurring within the SMA, which is the opposite of the former perspective. There are various forms of collaboration among local or regional governments, but the most radical solutions involve the establishment of new regional development financing method at the practical level. This paper suggests that horizontal fiscal equalization not yet introduced between same level subgovernments need to be institutionalized to promote the growing together between the SMA and the rest region of Korea.

• Journal of the Economic Geographical Society of Korea
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• v.22 no.2
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• pp.196-213
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• 2019

This paper attempts to analyze the contribution of different socioeconomic factors such as income, age, gender, household composition, education and employment status etc. to the difference between the Capital and Non-Capital Regions in the net wealth inequality of household in Korea. To this end, a two-stage Oaxaca-Blinder type decomposition is employed regarding the regional gap in the inequality of net wealth based upon the Recentered Influence Function of the Gini index for 'the 2018 Household Finance and Living Conditions Survey.' Despite the shortcomings of the survey data on wealth, the findings reveal that regional differences in income, marriage status (divorce), job type (agriculture, forestry and fishery related, and technical and assembly), family type (multi-cultural) variables deepen the regional gap in the net-wealth inequality, but employment status (full-time), job type (administrative and specialized, and service sales), household size variables mitigate the gap, and that regional differences in life cycles play an offsetting role.