• The Korean Journal of Food & Health Convergence
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• v.8 no.3
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• pp.25-35
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• 2022

The purpose of this study was to investigate the factors that determine whether college graduates majoring in culinary arts are employed. To achieve this purpose, this study largely divided the factors affecting the status of employment into the personal background, college life, and employment preparation activities factors. And, the data of 164 graduates who graduated from culinary arts-related departments participating in the Graduate Occupational Mobility Survey (GOMS) were used. The analysis results are summarized as follows. First, it was found that the health status and experience of job-seeking activities of college graduates majoring in culinary arts decreased the employment probability. On the other hand, major satisfaction and certification acquisition were found to increase the employment probability. Second, the health status and experience of job-seeking activities of graduates who participated in 2018GOMS were found to decrease the employment probability, and major satisfaction and grade were found to increase the employment probability. Third, it was found that only the health status of graduates who participated in 2019GOMS affected the status of employment. Therefore, in order to increase the employment rate of culinary arts majors at the end of COVID 19, universities need to make efforts to increase their satisfaction with their majors and their grades while attending college.

• Journal of The Korean Society of Agricultural Engineers
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• v.49 no.1
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• pp.35-42
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• 2007

This paper develops a Sustainable Regional Economic Growth Model (SREG) which estimates the relation of labor population change and employment increase in each occupation and maximum limits and minimum requirements of employment increase by labor population change in a specified region using multiplier theory. To develop the proposed model, sustainable regional economic growth is defined as a steady increase of labor population over a long term period and the limit of employment increase is defined as the estimated labor population change in the region with no need for commutation from the surrounded areas. Developed model was applied to 67 county in Pennsylvania State and the results revealed that the investment in infrastructure occupations, such as transportation, warehousing, utilities, information, communication, and other public utilities, maximizes the effects for increasing employment, whereas finance, insurance, and real estate occupations have minimum effects for increasing employment. Calculated minimum requirements of occupations show that infra-structure occupations is a critical factor for labor population change and maximum limits of occupations show that agriculture and finance occupations are difficult to increase independently.

• 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 Labour Economics
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• v.28 no.3
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• pp.111-139
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• 2005

This study analyzed employment instability, defining the increase of employment instability as 'a greater possibility of losing a job and a declining possibility of re-employment'. Flow variable measurements showed that the extent of employment instability was higher post 2000 compared to the period of before financial crisis. When considering the status of workers, such an increase in employment instability can be characterized by a greater possibility of unemployment for daily workers. If this is examined in conjunction with job creation and destruction, employment instability is increased not because there are less jobs being created but because there is an actual decline in the number of jobs and also because the jobs that are being created are mostly temporary. On the other hand the increased instability is due to the large-scaled public work policy under the financial crisis.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.181-187
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• 2018

With a view to deepening the research stream on the factors positively influencing the export growth and the employment increase of South Korean small and medium companies, this research has developed the research model about the impact of small and medium companies' external technology R&D collaboration network heterogeneity on their export growth and employment increase, and has empirically tested the research model with the 2,200 data collected from the small and medium companies in the South Korea. This study illuminates the two points from the empirical testing results. One point is that small and medium companies' external technology R&D collaboration network heterogeneity significantly and positively influences their employment increase from technology development. The other point is that small and medium companies' export growth from technology R&D partially mediates the impact of the external technology R&D collaboration network heterogeneity on their employment increase from technology R&D.

• 한국노년학
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• v.36 no.3
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• pp.541-562
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• 2016

The current study investigates the relationship and the mechanisms between bridge employment and change in marital satisfaction during midlife, using a three-wave panel dataset obtained from the Korean Baby Boomer Panel Study. A multivariate latent growth analysis reveals that the transition from career employment to bridge employment, compared to maintaining career employment, has an indirect negative effect on increase rate of marital satisfaction through the wage decrease. A steep decrease in wage following transition to bridge employment causes a lower increase in marital satisfaction. On the other hand, continuously engaging in bridge employment rather than career employment is associated with a higher increase in marital satisfaction via a higher increase in job commitment. This result implies that Baby Boomers adapt to bridge employment over time. Overall, the present study finds that the effect of bridge employment on the change in marital satisfaction during midlife varies with the duration of bridge employment. A future research needs to explore which factors can buffer the negative effect of decrease in wage during transition to the bridge employment on the change in marital satisfaction.

• East Asian Economic Review
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• v.19 no.1
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• pp.71-97
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• 2015

This study examines the effects of several factors indicating economic openness-imported intermediate goods, total imports, IFDI (inward foreign direct investment), and foreign ownership-on regular, irregular jobs and the ratio of irregular employment to regular employment. Findings revealed that imported intermediate inputs and IFDI affected neither regular nor irregular job figures. However, an increase in total imports led to a decrease in the number of irregular jobs without affecting regular full time jobs, leading to a decrease in the ratio of irregular jobs to regular jobs. On the other hand, changes in foreign ownership structure had a contrary effect, that is, a decrease in the number of regular jobs and an increase in irregular ones, and, thus, an increase in the ratio of irregular jobs to regular jobs. Overall results showed that a rise in imports results in depressed overall employment, irregular employment in particular, while more IFDI results in more irregular jobs replacing regular ones, effectively exacerbating job insecurity. The implication of this analysis is that greater economic openness may have a negative impact on the South Korean labor market overall.

• Journal of Labour Economics
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• v.44 no.1
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• pp.31-72
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• 2021

This study uses the 12-21st waves of KLIPS to estimate the effect of the increase in the minimum wage on the individual's labor market transition through a multinomial logit. In particular, we examine whether there was an additional effect of the rapid increase in the minimum wage in 2018. The main results of this study are as follows. First, the increase in the minimum wage in Korea is found to have increased the probability of becoming unemployed for both wage workers and self-employed, but there is no additional impact found from the 2018 minimum wage increase. Second, the increase in the minimum wage is found to increase the likelihood of the self-employed entering into wage workers, especially temporary and daily workers. Third, we have found that the increase in the minimum wage in 2018 adversely affected self-employed people with high school education, and significantly lowered young wage workers entering into self-employed. Our results suggest that the recent increase in the minimum wage may be responsible for declining self-employment rate in Korea, and may have a negative effect on the quality of employment because the increase in minimum wage can lead to an increase in temporary and daily wage workers.

• Journal of the Korean Geographical Society
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• v.51 no.4
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• pp.525-539
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• 2016

This study attempts to predict the changes in the spatial distribution of occupational employment in Korea by applying Markov Chain Model. For the purpose we analyze the job-related migration pattern and estimate the transition probability with the last six years job-related migration data. By applying the Chapman-Kolmogorov equation based on the transition probability, we predict the changes in the spatial distribution of occupational employment for the next ten years. The result reveals that the employment of professional jobs is predicted to increase at every city and region except Seoul, while the employment of elementary labor jobs is predicted to increase slightly in Seoul. In particular, Gangwon-do and Chuncheongdo are predicted to increase in the employment of all occupational jobs.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.10
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• pp.808-816
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• 2013

In recent years, the knowledge service industry is getting much attention in terms of the role as new growth driver and employment creation sector whereas the overall potential growth rate in Korea has been slowed due to reduced investment and employment in manufacturing sector. This study examines how the knowledge service industry contributes to economic development and employment creation by analyzing the structure transition pattern of the knowledge service industry from 1995 to 2010 and suggests, based on these results, some policy implications for the industry's development. It turns out that the knowledge service industry greatly contributes to total production increase and employment creation during the period of 1995 to 2010. Special strategy for increase in labor productivity will be required for the knowledge service industry to contribute consistently as growth driver and employment creation sector since production increase rate and growth contribution level have been gradually decreased while employment growth rate and its contribution level have been consistently increased in the knowledge service industry.