• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.315-324
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• 2016

The purpose of this study was to present the future directions for strengthening the TLO(Technology licensing office)s' expertise of universities by examining the impact on utilizing the university management experts for patents and technology transfer. To identify the specific effects of dispatching patent management experts, this study was conducted under various conditions, such as the dispatch status, the dispatching duration of patent management experts and the starting year of dispatching them. The data were analyzed by utilizing the data of the KIPSI's supporting program of dispatching the patent management expert to universities and the data of University Information Disclosure site. The data from a total of 110 four-year universities from 2008 to 2013 were used. According to the analysis result, the technology transfer's performance and technology transfer's income of universities of utilizing the patent management experts compared to universities not utilizing them appeared to be high. Technology transfer and technology transfer income appeared to be higher with a longer period of utilizing the patent management expert at university. This suggests that the direction is required to provide the plan for a longer period to maximize the effect of the program "The dispatching a patent management expert". The technology transfer's performance and technology transfer's income did not increase according to the year of dispatched the patent management expert at the university. A comparison of before and after dispatching, the technology transfer performance appeared to be high after dispatch. This suggests that the effects of dispatching the patent management experts at a university can be interpreted as a subsequent effect, rather than an immediate effect. Therefore, it does not simply limit the effectiveness of the dispatch business in the short term, but it needs to activate the technology transfer organization, such as a patent management expert in the long term.

• Journal of Families and Better Life
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• v.26 no.2
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• pp.83-101
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• 2008

This research performs a multi comparison between the age of old households and the economic structure according to accommodation type as well as analyzing the economical structural difference of each type based on the features of aged households. The paper classified aged households into 3 groups according to age distribution. The economic structure analysis according to the age of old households and accommodation type was shown as follow: First, the economical structural analysis based on the age of old households showed a statistical difference in the total, labor, business, property and transfer income variables according to the age of each sample group. However, the non-business income and liabilities did not show a significant difference. Second, in the analysis of different economic earnings and initial expenses of middle-aged households according to the age distribution group showed a disparity in the total, labor, business, property, and transfer income variables according to the age of each sample group. However, aged households showed a statistical difference in total, labor, business and transfer income variables. Third, in the analysis of difference in the expense provision and size of consumption, there was a statistical difference in the expense variables of total consumption, food, dining out, electricity, water, furniture, kitchen supplies, clothing, shoe, education, culture, entertainment, transportation, and communication. Fourth, in the analysis of difference in the size of consumption expense, the initial and middle-aged households showed a statistical difference in the total consumption, food, dining out, electricity, water, furniture, kitchen supplies, clothing, shoe, education, culture, entertainment, transportation, communication, and consumption expense variables. However, the analysis of aged households has shown a statistical difference in the total consumption, food, dining out, electricity, water, furniture, kitchen supplies, clothing, shoe, education, culture, entertainment, transportation, and communication expense variables. The study found a statistical difference in the expense for hygienics that did not appear in the initial and middle-aged households.

• Review of Korea Contents Association
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• v.12 no.4
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• pp.14-21
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• 2014

• Journal of Distribution Science
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• v.1 no.1
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• pp.153-173
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• 1999

• Korean Architects
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• s.624
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• pp.104-105
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• 2021

• Korean Journal of Social Welfare
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• v.39
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• pp.157-179
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• 1999

This study is an empirical research to analyze how many private income transfers in Korea decrease poverty rate, to compare the effects of private income transfers' decreasing poverty rate with income classes. This study has utilised the Family Income and Expenditure Survey to estimate the poverty ratio in urban areas and Unemployment Household Survey which Korea Institute for Health and Social Affairs has investigated at 1998. Majour findins are these. First, Sizes of private transfers incomes are much than that of public transfers incomes. The rates in receiving private transfers income are ten times higher than that in receiving public transfers income among urban worker's household. The mean of private transfer income are about six times larger than that of public transfer income among urban worker's household. Second, the effects of private income transfers' reducing poverty rates are not large. After private transfers, urbarn workers' households are about 10 per cent away from its poverty line, and unemploy households are only 3 per cent away from its poverty line. Third, especially, private income transfers are hardly reducing poverty rates among extreme poverty class. After private transfers, urban workers' households which their incomes are within low 5%, are not away from its poverty line at all.

• Korean Journal of Social Welfare Studies
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• no.39
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• pp.343-364
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• 2008

Using data from Korea Welfare Panal Study(KWPS), this study examines the relationship between public income transfers and private income transfers in Korea. This research is analyzed by the procedure of OLS regression analysis. The results are as follows. First, the paper shows that public income transfers crowded out the private income transfers. Specially public assistance crowed out the private income transfers. The amount of public income transfers has negative correlation with the amount of private income transfers. The amount of public assistance income has negative correlation with the amount of private income transfers. But social insurance transfers do not have influence on the private income transfer. Second, the private income transfers in Korea are altruistically motivated.

• Economic Analysis
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• v.27 no.3
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• pp.61-96
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• 2021

This study is to structurally examine the regional income disparity in Korea. It measures the regional income inducement by household consumption expenditure per unit income, and the regional interdependency of income using 2005 and 2015 Regional Input-Output Tables of 16 provincial regions of Korea. The results are as follows. Firstly, the income inducement by consumption expenditure per unit income decreased overall, mainly due to the decrease in the income inducement of other regions than due to that of their region. Secondly, in many regions, the inter-relational income dependency per unit income decreased also, this too, mainly due to the decrease in the income transfer to other region. And, the income inducement effects of consumption expenditure per unit income of Seoul and Gyeonggi, which occupy a large portion of the Korean economy, were lower than that of other regions, but took the largest portion of income inducements generated by other regions as well as by themselves and absorbed the income transfers from other regions the most. The higher income inducement and income absorption in Seoul and Gyeonggi by consumption expenditure of other regions were mainly because of the high share in service of their consumption structure, the progress in tertiarization of their industrial structure, and the high wage portion. These results also mean that viewed from the regional interdependency of income, the income of Seoul and that of Gyeonggi are highly dependent on the income of other regions. Especially, Gyeonggi which leads the overseas exports of high-tech based manufactured products, has other external factors that contribute to their high income inducement, whereas, Seoul which shows high income absorption using its inter-relations with other domestic regions based on the services, has an income-generating structure that is sensitive to other regions' economic situation. Amid overall declines in regional income inducements and in income transfers, and continuing concentrations into Seoul and Gyeonggi regions, to alleviate the regional disparity, the regional industry policies should, rather than benchmarking the policies of the two concentrated regions, enhance their own inter-regional relationships by strengthening the comparative advantage of their regionally specialized industry.

• Health Policy and Management
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• v.11 no.2
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• pp.85-122
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• 2001

This study compared and analyzed the effect of income-redistribution, collecting data on the basis of the estimated details of insurance contribution and individual money wage lists for each one year before and after the combination of medical insurance program for industrial workers, by systematic sampling, extracting 4,160 families(14,764 people) among people applied to medical insurance program for self employees in Taegu City on the basis of Oct. 1st in 1998 with 227 associations of medical insurance program for self employees and medical insurance program for government employees and private school teachers combined, comparing the effect of income redistribution of before and after the combination of medical insurance program for self employees. The insurance contribution by household after the combination of medical insurance program for self employees showed the increase rate of average 20.9%, among them households of 68.8% increased and 31.2% decreased. The effect of income-redistribution was more positive because the degree of inequality was more deepened from 0.64 of the before-combination to 0.45 of the after-one in decile distribution ratio, from 0.26 to 0.34 in Gini -coefficient. Decile distribution ratio on the basis of insurance benefits by household was from 0.09 in the before-combination to 0.14 in the after-one, Gini-coefficient from 0.16 in the before-combination to 0.57 in the after-one was a little lowered. And decile distribution ratio of insurance benefits on the basis of insurance contribution was higher from 1.08 in the before-combination to 1.23 in the after-one, concentration index was a little lowered from 0.14 to 0.11, the effect of income-redistribution was improved in the phase of insurance benefits. The income-transfer rate of medical insurance program for self employees (the occupied rate of insurance benefits/ the occupied rate of insurance contribution) showed a lower trend in all of the before and after-combination towards upper classes, it was known that the income-transfer rate was higher from 1st degree to 7th degree in the after-combination in comparison with the before-one, but the effect of income¬redistribution was high because the income-transfer rate was lowered from 8th degree to 10th degree. The rate of medical insurance benefits (insurance benefits/ insurance contribution) increased from 0.79 in the before-combination to 1.07 in the after-one, and showed over 1.0 under 3th degree before the combination, but all of it was higher than 1.0 under 7th degree after the combination, the after-combination was more improved than the before-one in view of the rate of insurance benefits. As the result of above, on the basis of Oct. 1st in 1998 that 227 associations of medical insurance program for self employees was combined into one, we could say that the equality of imposing medical insurance contribution was more re-considered in the after-combination than in the before-one. But this study analyzed with classes divided, anyway, on the basis of insurance contribution, we have limit in explaining the correct effect of income-redistribution, because it was not analyzed according to classes of income, though it helps to analogize the effect of income-redistribution. So there must be analysis about the effect of income-redistribution, on the basis of the system, building up the system to grasp the correct income of the insureds of medical insurance program for self employees.

• Human Ecology Research
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• v.53 no.5
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• pp.489-502
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• 2015

This study identifies the relation between recognition relatively deprivation and consumption patterns. The data used were the seventh Korea Welfare Panel Study (KOWEPS). The final sample of 1,597 households was selected based on several sampling steps standard weights suggested by KOWEPS were applied. The final sample was subdivided into household recognizing relatively deprivation (51.7%) and non-household recognizing relatively deprivation (48.3%) per level of subjective income and objective income. We derived six consumption patterns from the cluster analysis as per consumption ratio: transportation dominant consumption pattern, essential consumption pattern, other dominant consumption pattern, care attention consumption pattern, private transfer consumption pattern, and education dominant consumption pattern. The results of this study are as follows. The analysis of the determinants of recognizing relatively deprivation in regards to question one found that the household was likely to be relatively deprived when: the head of a household was older, a household had a dual income, children and more total assets then those assessed 1 year ago compared to household living conditions, result of comparing the consumption patterns difference between household recognizing relatively deprivation and non-household recognizing relatively deprivation indicated that household recognizing relatively deprivation was more likely to belong to the transportation dominant consumption pattern, other dominant consumption pattern, and private transfer consumption pattern. The multinomial logistic analysis conducted to understand the determinants affecting the consumption patterns of household recognizing relatively deprivation indicated differences in demographic characteristics, household-related variables, financial variables and perception of economic conditions.