• Health Policy and Management
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• v.31 no.3
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• pp.344-354
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• 2021

Background: The purpose of this study was to analyze the effect of national health insurance coverage of Chuna therapy in April 2019 on the costs and service uses in automobile insurance. Methods: This study used the claim data from Health Insurance Review and Assessment Service. A total of 189,912 inpatients and 1,550,497 outpatients who received Chuna therapy covered by automobile insurance in oriental medical institutions were included. The analysis period was from July 2018 to December 2019, and a total of 18 months before and after April 2019, when Chuna therapy was covered by national health insurance. Interrupted time series analysis was applied to analyze the impact on the costs and service uses of Chuna therapy in automobile insurance before and after April 2019. Results: From July 2018 to December 2019, for 189,912 inpatients the cost and the number of times for Chuna therapy per capita were increased by 22.0% and decreased by 7.3% respectively right after the implementation of the policy. In the case of 1,550,497 outpatients, the cost of Chuna therapy per capita tends to be increased by 0.4% in overall study periods and increased 28.4% immediately after the implementation of the policy. Meanwhile, the number of times and visits for Chuna therapy per capita tends to be increased by 0.4% in overall study periods but decreased by 0.4% after the implementation of the policy. Conclusion: Results suggest that if the national health insurance coverage of oriental medicine services increases according to the policy stance for benefit expansion in national health insurance, the criteria for providing national health insurance benefits should be considered with the comprehensive impacts on the costs and service uses of automobile insurance.

• Journal of Korean Society of Rural Planning
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• v.29 no.3
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• pp.91-97
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• 2023

The purpose of this research is to apply the regional development attractiveness of the national level determined in the previous study to the city and county level of Chungcheongnam-do. We verified results with the population change of the floating population data. In order to measure regional development attractiveness in 2020, Chungcheongnam-do's integrated air environment index and per capita gross regional product were gathered. Population movement data over the past five years have been used to analyze population changes in the floating population data. Regional development attractiveness depended on the data of GDP per capita, which had a large difference between the maximum and minimum values. The rate of increase or decrease in population change by city and county in Chungcheongnam-do over the past five years has changed significantly since 2021 and characteristics of each group were grouped into four groups. Based on the environment and economic feasibility of the region, it can be the starting point for a new analysis of Korea's regional development projects and the selection of target sites. Policy suggestions can also be made in spatial plans such as short-term comprehensive plans, long-term comprehensive plans, and development plans. It can be a limit of this research that regional development attractiveness was determined by the relatively large per capita gross domestic product. It is necessary to further develop regional development attractiveness by closely investigating the characteristics of the region, social problems, and emissions of environmentally harmful substances.

• Environmental and Resource Economics Review
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• v.31 no.2
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• pp.165-204
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• 2022

This study organized data from 2000 to 2014 for 20 grid-connected countries in Europe and analyzed the determinants of carbon emissions through the panel GLS method considering the problem of heteroscedasticity and autocorrelation. At the same time, the effect of introducing ETS was considered by dividing the sample period as of 2005 when the European emission trading system was introduced. Carbon emissions from individual countries were used as dependent variables, and proportion of generation by each source, power self-sufficiency ratio of neighboring countries, power production from resource-holding countries, concentration of power sources, total energy consumption per capita in the industrial sector, tax of electricity, net electricity export per capita, and size of national territory per capita. According to the estimation results, the proportion of nuclear power and renewable energy generation, concentration of power sources, and size of the national territory area per capita had a negative (-) effect on carbon emissions both before and after 2005. On the other hand, the proportion of coal power generation, the power supply and demand rate of neighboring countries, the power production of resource-holding countries, and the total energy consumption per capita in the industrial sector were found to have a positive (+) effect on carbon emissions. In addition, the proportion of gas generation had a negative (-) effect on carbon emissions, and tax of electricity were found to have a positive (+) effect. However, all of these were only significant before 2005. It was found that net electricity export per capita had a negative (-) effect on carbon emissions only after 2005. The results of this study suggest macroscopic strategies to reduce carbon emissions to green growth, suggesting mid- to long-term power mix optimization measures considering the electricity trade market and their role.

• The Journal of the Korea Contents Association
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• v.11 no.9
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• pp.238-245
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• 2011

For introduction of local autonomy system, local government enabled efficient supply of public service by local resident's request. Specially, local governments is doing effort of that organize various policy and a lot of budgets for social welfare promotion, but is interested relatively little in efficient use of social welfare finance and operation. According to these problem, this study measured efficiency of social welfare facility in local governments. The purpose of this analysis is to measure the efficiency of community welfare in local governments by data envelopment analysis(DEA), using data from 16 local governments in Korea. Input variance is GDP per capita in local, rate of welfare budget, rate of financial independence and local public official per 10,000 capita. Output variance is social welfare facility per 100,000 capita and park area per 1,000 capita, The results of the study are summarized as follows : First, There was differential in efficiency about social welfare facilities operation in local governments. 7 local governments(Busan, etc.) was an in efficiency. Second, some local governments(Incheon, etc.) must increase scale of input variance, and some local governments(Busan, etc.) must improve efficiency of input variance.

• Proceedings of the Population Association of Korea Conference
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• 2006.12a
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• pp.113-128
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• 2006

The main theme of this paper was to investigate the role of education as a source of economic growth in Korea. In this study, first, the objective mode was built by extending neoclassical Solow growth theory. Second, the capital deepening typical of an endogenous economic per-capita growth model was developed empirically for seven East-Asian economies as for the medium term, during $1975{\sim}2004$. And then we found the meaning of coefficients of growth factors, direct relative contribution of each input to per-capita growth in seven East-Asian countries, relative indirect contribution of education to per-capita growth in Korea, accounting for difference due to accumulation in Korea. The indirect relative contributions of secondary and higher education and R&D to per-capita growth change the results somewhat. Secondary education is still the largest single contributor 83.6 percent of predicted growth is due to secondary school enrollment in Korea. Primary education comes second with 37.5 percent and followed by higher education at -52.9 percent. Physical investment gives 62.3 percent and unimproved raw labor contributes only -1.4 percent.

• Journal of Korean Society of Transportation
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• v.35 no.3
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• pp.169-182
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• 2017

This research reviews regulations on logistics/transport industry and attempts to quantify the effects of regulation mitigation on GDP per capita. South Korea's transport industry has been gradually expanding, however, the industrial structure is still short rooted. In 2014, average number of hours worked is 5th highest and wage margin 12th smallest out of 18 industries. Furthermore, the regulations for this industry appear to be stricter than those of other industries. OECD's logistics/transport industry regulatory index for South Korea has been decreasing for the last 40 years but still exceeds those of EU, Japan, US, and other countries. This paper provides supporting reasons for regulatory reforms by analyzing the ripple effects on real GDP. Factors such as the ratio of trade among GDP, the enrollment rate to primary school, energy usage per capita, and population are controlled in the fixed-effect model. Estimation results showed that 1 unit decrease in transport/logistics regulatory index is correlated with 8.1% increase of the real GDP per capita, that is, 10% of deregulation is expected to yield 2.16% increase in GDP per capita. Thus, it is expected that mitigating regulations on market entries, price determination, ownership structures of network industry, vertical integrations can improve the economy of South Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.349-357
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• 2017

The environmental problems affecting marine resources and slow growth in the fisheries industry is causing many countries to look for alternative inputs that can boost the fisheries sector. This study focuses on the effects of technological innovation in the fisheries industry on the gross domestic product (GDP) per capita across Organization for Economic Cooperation and Development (OECD) countries. Using a panel dataset, this study attempts to estimate the different effects of technological innovations in the fisheries industry from country to country using the differences-in-differences (DiD) method. After the DiD method, the Granger causality test is applied to determine the interactive relations between economic growth and the selected variables associated with technological innovation in the fisheries industry, such as government spending on fisheries R&D, the number of patents in fisheries, and employment. The results obtained from the DiD estimation show that government spending on fisheries R&D, fisheries technology development, and fisheries employment positively influences the GDP per capita across OECD counties. From the causality test, we found different bi-directional causal relationships between the GDP per capita and (spending) on fisheries technology development across countries.

• Journal of Environmental Health Sciences
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• v.15 no.2
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• pp.51-58
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• 1989

In order to estimate unit loading factors of N, and P for controlling eutrophication of Youngsan lake. This study was performed in 4 kinds of pollutant sources from domestic sewage, industrial waste water, livestock stall waste water and drainage of agricultural area during the period from april to october 1988. These results were as follows: 1. The sewage flow for domestic waste water was 191.2 l/capita, day and that of the gray and toilet waste water among the domestic waste water were shown 152.9 l/capita, day(80%) and 38.3 l/capita, day(20%), respectively. 2. The unit loading factor total nitrogen(T-N) for domestic waste water was 7.582g/capita, day, and that of the gray and toilet waste water among the domestic waste water were 1.826g/ capita, day(24.1%) and 5.756g/capita, day(75.9%), respectively. The other hand, the unit loading factors of total phosphorus(T-P) for domestic waste water was 0.925g/capita, day, and that of gray and toilet waste water among the domestic waste water were 0.470g/capita, day(50.8%) and 0.455g/capita, day(49.2%), respectively. 3. In offering Price per million won, the T-P loading factor for drinking manufacture, confectionery manufacture, beer-manufacture and fibre manufacture in the industrial pollutant sources estimate to be 0.350g/day, 0.099g/day, 32.351g/day and 1.536g/day, while T-N loading factor about them in the industrial pollutant sources estimate to be 4.117g/day, 2.414g/day, 106.726g/day and 60.504g/day, respectively. 4. The T-P loading factor according to wash-water of milch cow and pig were 6.735g/day and 18.526g/day, in case of T-N they were 42.397g/day and 27.226g/day, respectively. 5. The T-P loading factor for pollutants drainage in the Paddy fields, fields and forests area were 0.082g/are, day, 0.014g/are, day and 0.002g/are, day, and the T-N loading factor were 0.309g/are, day, 0.158g/are, day and 0.064g/are, day, respectively. The diffrent of the loading factor for pollutants discharges in the agricultural area were resulted from the rainful intensity, the rainful, the amount of fertilization manure, and etc.

• Journal of Preventive Medicine and Public Health
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• v.7 no.1
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• pp.163-173
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• 1974

A study on the health care of Ewha Womans University staff, faculty and families was conducted during the period from March 1973 to August 1974 using designed questionaire. A total of 196 persons who were randomly sampled as 27.3% of the total staff and faculty 789 were studied. The response rates were 96.0%. The results and findings obtained from the study are summerized as follow. 1. The sex ratio of the members the faculty and the staff shows 83.2% and the singles are 37.2% of the total. Their mean family size being 4.6 persons per capita, each family has mean number of 2.3 childeren. 2. The median monthly income of a member of faculty amounts \114,000 and that of a staff \43,077. It amounts \79,333 when the median monthly income of both the members of the faculty and the staff are taken. Consequently, it amounts \91,727\ per family (Assumed mean). 3. 71.4% of the total hold the house of their own. A spouses of 59.4% of them are working for the additional income of the family. 4. Their health condition is rated fair, i. e. 92.3% of them enjoy good health. Out of total members faculty and the staff, 20.6% are cared by family physician. 36.2% of them feel that they are burdened by heavy medical expense. 5. 76.7% of them have affirmatively responded that they would purchase medical insurance policy when they were offered. It reaches 84.0% of the total who consider buying the policy for their dependents. 74.0% of them desire to purchase the policy for their spouse's parents. 6. The monthly prevalence rate reaches 17.0% and the hospital admission rate 4.7%.12.3% of them affirmatively responded that they had chronic diseas. The number of sick call per capita counts 0.2 per month and the hospital admission rate 0.05. 7. To examine the nature of their disease, the respiratory disease is rated to be the top and the gastro-intestinal disease comes to the next. As far as chronic disease is concerned, the gastro-intestinal disease is predominent. 8. As to their treatment, 65.4% of them get the physician's treatment and 17.0% treatment of drug purchasing and 7.7% prefer Chinesedrug. 6.6% of them gets no medical treatment at all. 9. The treatment ratio, including drug purchasing and other means, reaches 93.4%. 60.7% of them affirmatively responded that they did not or could not get physician's treatment at least once even though they thought they had to. It is disclosed that 25.4% of them are caused by economical reason. 10. Average medical expense per case amounts \7,116 and monthly medical expense per capita \1,345. Consequently, average monthly medical expense per family amounts \6,185. 11. The medical expense of a family is rated 7.7% of total earnings of the same period.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.909-917
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• 2020

The research aims to analyze the firm-specific and macroeconomic factors that affect insurance company's financial performance. The research explores the variables that influence the financial performance of the United Arab Emirates (UAE)' insurance companies. The analysis for determining financial performance considers the following variables: the firm's age, retention ratio, capital adequacy, underwriting risk/loss ratio, financial-leverage, reinsurance dependency, and macro-economic factors such as GDP per capita, inflation rate considered as independent factors. The return-on-asset (ROA) is the key measuring indicator; it is regarded as the dependent variable for financial performance measures. The research focuses on secondary information obtained from insurance companies' financial statements. The researcher targeted 18 insurance companies listed on the UAE stock exchanges for study purposes. The research examines the overall factors that influence the financial performance of an insurance company. For analysis of data, software package of social sciences (SPSS version 20) is used. The studies used correlation and multiple linear regression analysis to determine financial performance and their effects. The analysis suggests that there are important and constructive relationships between the size, capital adequacy, and reinsurance dependency, while loss ratio, retention ratio, and financial leverage indicate a major negative relationship. And there's no link between GDP per capita and inflation.