International Journal of Advanced Culture Technology
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v.9
no.3
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pp.174-180
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2021
The necessity of this study is as follows. A decrease in the number of newborns, an increase in the youth unemployment rate, and a decrease in the employment rate are having a fatal impact on universities. To help increase the employment rate of universities, we intend to utilize Big Data of university public information. Big data refers to the process of collecting and analyzing data, and includes all business processes of finding data, reprocessing information in an easy-to-understand manner, and selling information to people and institutions. Big data technology can be divided into technologies for storing, refining, analyzing, and predicting big data. The purpose of this study is to find the vision and special department of a university with a high employment rate by using big data technology. As a result of the study, big data was collected from 227 universities on www.academyinfo.go.kr site, We selected 130 meaningful universities and selected 25 universities with high employment rates and 25 universities with low employment rates. In conclusion, the university with a high employment rate can first be said to have a student-centered vision and university specialization. The reason is that, for universities with a high employment rate, the vision was to foster talents and specialize, whereas for universities with a low employment rate, regional bases took precedence. Second, universities with a high employment rate have a high interest in specialized departments. This is because, as a result of checking the presence or absence of a characterization plan, universities with a high employment rate were twice as high (21/7). Third, universities with high employment rates promote social needs and characterization. This is because the characteristic departments of universities with high employment rates are in the order of future technology and nursing and health, while universities with low employment rates promoted school-centered specialization in future technology and culture, tourism and art. In summary, universities with high employment rates showed high interest in student-centered vision and development of special departments for social needs.
Journal of Fisheries and Marine Sciences Education
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v.23
no.4
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pp.615-625
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2011
This study presents a descriptive statistical analysis on grade characteristics and employment rates of three ocean-related departments at a university. The ocean-related departments belong to the same college along with the other six departments. To obtain the correlation between the grade characteristics and employment rates, we carried out the followings. Firstly, four-year employment rates and six-semester GPAs (grade point averages) were obtained from the nine departments. Secondly, the box-and-whisker plots were constructed for each data set to capture the grade characteristics (mean, the first quartile, median, third quartile, whisker+, and Q3 box). Finally, the grade characteristics and employment rates were correlated. It is shown from the correlation analysis that the employment rate has a positive linear relation with the mean or third quartile, while the rate has a negative linear relation with the whisker+ or Q3 box, for the ocean-related departments possibly because these departments have higher regular employment rates than those of the other six departments.
The Purpose of this study are to examine the middle-age and old worker's employment rates by age and gender at economic depression and recovery periods after the economic crisis, to identify the main 3causes of the change of the middle-age and old worker's employment rates between two periods, and to analyze whether the determinants affecting the middle-age and old worker's employment may be different by age and gender. For this study, The Annual Korean Labor Panel data(from 1st to 7th) are used. The results show that the employment rates are increased in the economic recovery period, and the difference between male and female employment rates decrease as ages go up. As we predicted, the determinants affecting the middle-age and old worker's employment are different by age and gender. For example, the existence of partner has positive effect on the male employment, but negative effect on female employment. The increases of the middle and old age worker's employment rates in the recovery period are mainly caused by the extension of the individualism(that is, the increases of the middle and upper class workers' employment), rather than the increases of the poor workers' employment rates due to the poverty(that is, the increases of the lower and poor class workers' employment). In the recovery period, comparing to the economic depression periods, the middle-age and old workers in the high class were likely to remain his(her) a good job while those in lower class are more difficult to get a job. This results show that the polarization of middle-age and old worker's employment has been appeared in the recovery periods(after 2001).
Using the Census on Establishments collected by Statistics Korea, we analyze how the patterns of job creation and destruction differ across counties (si-gun-gu). We measure aggregate employment changes due to establishment startups, expansions, contractions, and shutdowns for each county and quantify the role of such reallocations in explaining variation in employment growth across counties. Overall we find that both rates of net entry and job creation play an important role in explaining differences in net job creation rates across regions. Moreover, counties with high employment growth rates also tend to have high exit and job destruction rates, which suggests that an active process of job reallocation is a key source of regional employment growth.
Purpose: This research investigates the paths of some important economic variables: government domestic product (GDP), capital accumulation, unemployment rates. Decreasing GDP, declining capital accumulation and higher unemployment affect to South Korea economy. The macroeconomic policies discussed are all capital financed accumulation policy and an enactment of unemployment regulation. Research design, data and methodology: The GDP, capital accumulation rates and unemployment rates are the main macroeconomic issues in the South Korea. This research studies the correlations of the GDP, capital accumulation, and unemployment rates by time series data from 2000 to 2005 in a Vector Autoregressive (VAR). Results: The first, GDP relates a positive effect between the GDP and capital accumulation in the long term. The second, there is the negative relationship between GDP and unemployment rates. Economic growth was strongly supported by employment growth and by declining unemployment. The third, There is positive relationship between unemployment rates and capital accumulation. Conclusions: This research provides that fiscal policy introduce to increasing GDP, private investments and employment rates. The GDP should be major on capital accumulation to increase employment rates in South Korea.
'New Universities for Regional Innovation(NURI)' is a financial aid program designed to promote the development of universities as a major component of Regional Innovation System (RIS). In particular, this program emphasizes the role of regional universities to provide the qualified graduates for the regional economy. This paper is to evaluate the effect of NURI, focusing on the change of graduates' employment. The effect of the program can be evaluated by the quality of graduates' accumulated human capital, and graduates' employment performance represents the graduates' quality evaluated in the labor market. This is also believed to be a good performance indicator of the NURI program. We utilize the graduate employment survey of Korean Educational Development Institute (KEDI), and calculate the graduates' employment rates of the departments that received the financial support of NURI (treatment group). We also calculate the graduates' employment rates of the departments that applied for the support of the NURI program but were not selected (comparison group). By using difference-in-differences method, we compare the change of graduates' employment rates in treatment and comparison groups before and after the program came in effect. Compared with the employment rates in 2004 before the NURI program started, the graduates employment rates improved in both groups in 2005 and 2006. The improvement of the employment rates in the treatment group is larger than that in the comparison group. Moreover, the difference of improvement gets larger in the year 2006 than in 2005, which means those students who were affected more years by the NURI program are more likely to be employed. However, the difference is not statistically significant, and we cannot definetely conclude that NURI showed the desired effect on the quality of the college graduates. We calculate employment rates in two ways; whether to treat going on to graduate education as an employment or not. The result was qualitatively the same in both cases. We also tracked quality of employment by investigating the firm size where the graduates of the treatment group were employed. By utilizing data from the Employment Insurance Fund, we measure the firm size by the number of employees. We did not find any deterioration of employment quality between 2005 and 2006, though it deteriorates in 2007. Therefore, the improvement of employment rates until 2006, though not statistically significant, does not seem to come at the cost of employment quality. The interpretation of this result cannot help being very limited. First, this evaluation covers such a short time period. It only covers two years after the program started, 2005 and 2006. Second, the extent of the improvement in employment rates is not satisfactory considering the amount of financial support, even though it can be argued that the employment has improved since the inception of the program. Subsequent evaluation of the program is required to certify the NURI programs' longer term effectiveness.
This study investigates what effects employment flexibility have on the business performance in the computer programming, system consultancy and related services. An analysis of the effects of employment flexibility on outcomes of human resource management revealed that companies which had a higher proportion of temporary agency workers and adjusted employment more frequently had higher turnover rates. The study also showed that the higher the proportion of non-regular workers, outsourcing and the easier it was to adjust working hours, the higher the absence rate. Meanwhile, companies that made employment adjustments more often showed higher defect rates and lower customer satisfaction. It was also found that in companies with a higher proportion of outsourcing and higher possibility of employment adjustments, workers were less interested in new technologies.
The paper investigates the determinants of female, maternal, and male employment in a comparable setting using an unbalanced panel data of 29 OECD countries from 2000-2013. Our empirical results show that early childhood childcare and education (ECEC) is positively associated with female employment. Furthermore, we find that ECEC does not hurt male employment. We also find that tax rates on the second earner are negatively associated with male employment as well as female employment. The estimated coefficients of ECEC, social expenditure, tax rates, and tertiary education attainment rates in maternal employment regressions are much larger in the absolute value than those in female employment regressions. Policy implications of our analysis are that an expansion of ECEC, a lower tax on secondary earner, and education are key to promote the total employment as well as female employment.
The employment rate of a college has long been one of the most important elements in college survival strategies. Employment rates may not be key to colleges' survival in other countries, but they are fundamental to colleges in Korea as seen in the Korean government-led National Competency Standard (NCS), which has been underway since its introduction to colleges in Korea. Against this backdrop, if the engineering accreditation system can contribute to improving employment rate in this context, it can take root more quickly. The process conducive to improving employment rates can be classified as both direct and indirect methods. With dwindling school-age population having impacts on colleges and universities, the environment and the education directions of colleges have rapidly been shifting since the introduction of the NCS. Therefore, various survival strategies for colleges need to be developed. An indicator of employment rate of college graduates is among the most important things during this transition process. The Department of Mechanical Engineering at Koje College has consistently shown good records during the past 5 years by matching the accreditation schemes and employment strategies. The department will help put in place the engineering technology education accreditation system at the college through its various innovative and effective programs. To formulate a better employment strategy, it is needed to reflect and consolidate the engineering accreditation scheme into the existing employment policy of college. In short, this paper examines both the engineering accreditation scheme and the employment policy in ways that helps produce a coupling matrix structure. This study looks into the measures for improving employment rates by better adjusting the engineering education methods under the accreditation scheme.
This study analyzes the male-female difference in self-employment rates in Korea using panel data constructed from the Economically Active Population Survey in 1999. Given that most studies on self-employment have focused on male self-employment and have not examined why self-employment rate is usually higher among males than females, this study certainly extends the existing literature on this subject This study consists of two parts. The first part deals with estimating self-employment rates for males and female within a Markov framework. The second part presents decomposition results of the male-female differential in self-employment rates. Major findings of the study are (1) self-employment rate is higher for males than females because entry into self-employment is larger but exit from self-employment is smaller for males than female, (2) higher entry probability for males is due to differences in coefficients of transition probability functions while lower exit probability for males is due to differences in characteristics, (3) a large part of male-female gap in self-employment rates results from differences in being a head of family, marital status and age between males and females.
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