• Title/Summary/Keyword: Employment policy

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Projecting Future Change in the Female Labor Force based on Historical Experiences of Other Developed Countries: Implications for the Effects of Changing Population Structure on the Size of the Workforce (선진국의 역사적 사례에 기초한 여성경제활동인구 변화 전망 : 인구구조 변화가 노동인력규모에 미치는 영향에 대한 함의)

  • Lee, Chulhee;Kim, Claire Kyu-yeon
    • Journal of Labour Economics
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    • v.42 no.4
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    • pp.1-29
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    • 2019
  • This study estimates how changes in the female (aged 25 to 54) labor force participation rate (LFPR) following the historical experiences of the US and Japan would alter the future trend of the female economically active population by 2065, compared to the case in which the LFPR as of 2018 will remain unchanged. According to the results, the female labor force aged 25 to 54 will increase by 14% (about 797,000) and 15% (about 831,000), respectively, by 2042 if the female LFPR should change following the past trends of the US and Japan. In particular, the increase in the labor force is expected to be pronounced among females aged 30 to 44 who currently suffer high rates of job severance. The results of this study strengthen the prediction that the on-going population changes will not reduce much the overall economically active population in the near future. The result of a simulation based on the historical experiences of Japan suggests that, as least in the near future, policy efforts to encourage female labor supply will be more effective in alleviating the potential labor-market impacts of population changes, compared to policies aiming at increasing old-age employment.

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A Study on the Prediction Model of the Elderly Depression

  • SEO, Beom-Seok;SUH, Eung-Kyo;KIM, Tae-Hyeong
    • The Journal of Industrial Distribution & Business
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    • v.11 no.7
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    • pp.29-40
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    • 2020
  • Purpose: In modern society, many urban problems are occurring, such as aging, hollowing out old city centers and polarization within cities. In this study, we intend to apply big data and machine learning methodologies to predict depression symptoms in the elderly population early on, thus contributing to solving the problem of elderly depression. Research design, data and methodology: Machine learning techniques used random forest and analyzed the correlation between CES-D10 and other variables, which are widely used worldwide, to estimate important variables. Dependent variables were set up as two variables that distinguish normal/depression from moderate/severe depression, and a total of 106 independent variables were included, including subjective health conditions, cognitive abilities, and daily life quality surveys, as well as the objective characteristics of the elderly as well as the subjective health, health, employment, household background, income, consumption, assets, subjective expectations, and quality of life surveys. Results: Studies have shown that satisfaction with residential areas and quality of life and cognitive ability scores have important effects in classifying elderly depression, satisfaction with living quality and economic conditions, and number of outpatient care in living areas and clinics have been important variables. In addition, the results of a random forest performance evaluation, the accuracy of classification model that classify whether elderly depression or not was 86.3%, the sensitivity 79.5%, and the specificity 93.3%. And the accuracy of classification model the degree of elderly depression was 86.1%, sensitivity 93.9% and specificity 74.7%. Conclusions: In this study, the important variables of the estimated predictive model were identified using the random forest technique and the study was conducted with a focus on the predictive performance itself. Although there are limitations in research, such as the lack of clear criteria for the classification of depression levels and the failure to reflect variables other than KLoSA data, it is expected that if additional variables are secured in the future and high-performance predictive models are estimated and utilized through various machine learning techniques, it will be able to consider ways to improve the quality of life of senior citizens through early detection of depression and thus help them make public policy decisions.

The Impact of the Media Law Reform on the Media/Contents Firms' Market Value: Event Study Analysis (미디어법 개정이 미디어/콘텐츠기업가치에 미치는 영향분석: 사건연구의 활용)

  • Park, Jongsur
    • The Journal of the Korea Contents Association
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    • v.16 no.9
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    • pp.411-422
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    • 2016
  • The Media Law including Newspaper Law, Broadcasting Law and Internet Multimedia Law has been reformed in 2009. The main purpose of the reform was to allow media firms to gain a global competitive edge by opening doors to more investments that were nonexistent due to regulatory barriers. Also it aimed to contribute to an increase of employment in the media industry. This paper analyzes the impact that the Media Law reform of 2009 had on many media/contents company's future value by tracking abnormal returns gained during the period of the reform. The analysis with the capital market data of fifteen firms over a one-year period provided evidence that the new law has had an effect on the related firms' future value; however, the impact was shown to not be as significant in the long-term. This study has the significance in that it showed that the impact of the reform was not overall to the industry but given to the limited number of media company and confirmed the relatively strong effect of the unexpected events.

Effect of Care Workers' Awareness of Professionalism on the Service Quality (요양보호사의 전문성 인식이 서비스 질에 미치는 영향)

  • Shin, Tae-Hyu;Choi, Yeong-Jun;Im, Dong-Ho
    • The Journal of the Korea Contents Association
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    • v.16 no.9
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    • pp.297-307
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    • 2016
  • This study aims to carry out empirical analysis on the effect of care workers' awareness of professionalism on the service quality, and to provide policy level and action oriented recommendations for the improvement of care workers' awareness of professionalism and service quality based on the key findings. The study targeted care workers who work at the senior citizen care take centers at the S and Y cities in the Jeollanam-do Province, carrying out survey research. A total of 190 questionnaires among the collected questionnaires were used for the analysis. Key research methods included factor analysis, reliability analysis, descriptive statistic analysis, correlation analysis, t/F-verification and regression analysis. The following are the results. First, conviction of the care workers' awareness of professionalism towards public service and the empathy of service quality were manifested at the highest level. Second, there was a difference in the service quality according to the care workers' experience. Third, care workers' awareness of professionalism affected service quality while service quality increased as the awareness of professionalism increased. The research results were utilized to recommend the need to develop and to disseminate structured education program for the care workers, to set the guideline for the care workers' employment form and salary, and to develop structure for the care workers' ethics.

An Analysis of Extra-Curricular Activities in Childcare Facilities and the Factors Affecting on Expenses of Extra-Curricular Activities (육아지원기관의 특별활동 이용 현황 및 지출 결정요인 분석)

  • Kim, Jin Mi
    • Korean Journal of Childcare and Education
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    • v.10 no.5
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    • pp.5-23
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    • 2014
  • The purpose of this study was to identify factors affecting extra expenses incurred by extracurricular activities, prompted by the problem that the financial burden on households for their children's education and child-care is not showing enough signs of being mitigated, despite increased child-care subsidies from the government. Data for this study was obtained from the 4th Panel Study on Korean Children of Korea Institute of Child Care and Education. The analysis of the study shows that 68.5% of the surveyed children were participating in extracurricular activities and the average number of extracurricular activities they took part in was 2.9. The average extracurricular expenditure was 50.000 won. However, based on the findings of the survey, it was statistically significant to find that the number of extracurricular activities the children participated in and the expenditure the households spent on them varied by area. Variables were inserted in a gradual manner in identifying factors influencing households' expenditure on children's extracurricular activities. The results showed that amongst the variables used, the education level of the mother, the employment status of the mother, the type of the child-care support institution, and the household's place of residence featured prominently, with the place-of-residence factor accounting for most of the reason why a household spent the amount it did. The outcome of the study bears four policy implications: First, there is a need for a specific evaluation of the contents and costs of extracurricular activities and supervision and management of such activities. Second, it is necessary for the central government to provide a specific criteria of necessary expense. Third, throughout the child support agency, the courses and costs of special activities should be monitored regularly. Fourth, there should be extracurricular activity support for underprivileged children.

A Study on the Reasons for Participation in the Training of the Work-Learning Parallel Program (중소기업 일·학습병행제의 훈련 참여 이유에 관한 연구)

  • Park, Chan-Jun;Lim, Sang-Ho
    • Industry Promotion Research
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    • v.5 no.1
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    • pp.47-52
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    • 2020
  • In this study, parallel work-learning training, which was started in 2013 as a pre-employment promotion policy, is an important factor that determines the success or failure of training. As a time when various institutional supplementation is needed to encourage company participation, this study is to identify the factors of participation of companies participating in work-learning parallel. To this end, a questionnaire survey was conducted of companies participating in parallel work-learning in Chungnam, and the results were analyzed using the structural equation model. As a result of the study, the reason for the company's participation in parallel work-learning was firstly, 84% of government subsidy received education and training expenses. Second, 66% of workers were able to pay less than regular workers, and thirdly, it was easy to hire new employees in the field. 26%, 17% of them were invited by acquaintances for no particular reason. Therefore, the study suggests that participation in the work-learning parallel training contributes to the management costs, management of employee turnover, and human resource development. In future research, it is necessary to subdivide tests and estimates by conducting studies on regions, occupations, gender, wages, and years of service in Korea.

Activation Factors of Industry Cooperation through Comparison Study on Domestic and International Industry Cooperation Programs (국내외 산학협력프로그램 비교를 통한 산학협력 활성화 방안 연구)

  • Kim, Hye Sun;Kim, Jong Boo;Kim, Hyoung Ro
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.9 no.2
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    • pp.187-200
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    • 2014
  • Industry Cooperation is not the choice of national development but the inevitable component in the world. Industry cooperation results of the reconstruction of the country is an important place as an essential element of the economic development of the national policy in the major economies. Despite several changes in the international economic environment, United States, Canada, Finland, Sweden, Israel settled and maintaining the sustainable development of the countries which successfully established Industry-University Cooperation or Industry-Acaemy Cooperation system in history. In this study, delivered to the realistic ways of Industry cooperation through comparison study on domestic and international cooperation programs. The new activation programs of industry academic cooperation are delivered, that is, The bonus payments system of technology development patent and free technology transfer for joint development, bonus points system and evaluation indicators for joint capacity building program which participate student, industry and academic sector, step-by-step training. system for total employment and entrepreneurship at the same time strengthening management training programs and education opportunity gives to the benefits for the community members. Finally, Intellectual property expert matching program which develops basis of technology trader and expert maps in the smallest unit by administrative area. practice the internet information search services in national wide network for this matching program and government office dedicated to staffing for technology transfer.

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The impact of pension insurance on the human resources management of SME workers (중소기업 근로자의 연금보험이 인적자원 관리에 미치는 영향)

  • Lim, Sang-Ho
    • Industry Promotion Research
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    • v.2 no.1
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    • pp.93-99
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    • 2017
  • This study analyzed the effect of pension insurance on the human resources management of SME workers. As a result of the study, a total of 128 workers were enrolled in 60 SMEs in the Chungnam area who were enrolled in pension insurance. The analysis data were analyzed using frequency analysis, factor analysis, reliability analysis, correlation analysis, regression analysis And post - analysis. First, pension insurance had a significant effect on human resource management, and the correlation between independent variables (clarity, suitability, and satisfaction) and dependent variables (job efficiency) was high....Second, the correlation between pension insurance and job performance is more important than clarity and job performance (.339), fitness and job performance (.541), satisfaction and job performance (.531), job performance and job efficiency, And the turnover intention (.549). Third, there is no statistically significant difference in the analysis of the difference in turnover intention according to the number of years of service of the employees who are enrolled in pension insurance. The purpose of this study is to analyze the impact of pension insurance on human resources management to achieve successful policy objectives by promoting the long - term employment of the core manpower of SMEs and cultivating manpower.

The Current Status of Life and Happiness of Out of School Youth (학교 밖 청소년의 생활실태와 행복감 관련 변인)

  • Hwang, Yeoun-Kyoung;Hong, Eun-Young
    • Journal of Digital Convergence
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    • v.16 no.2
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    • pp.57-64
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    • 2018
  • The purpose of this study was to analyze the current status of life and psychological characteristics of 250 out of school youth in Cheonan city, and to identify the factors affecting the happiness. For statistical analysis, SPSS 21.0 were used, and reliability, mean comparison, correlation and multiple regression analysis were applied. First, adolescents who stopped studying due to family problems was lower in self-esteem than those who did for other reasons. Males was higher in happiness than females, and those who were less than two years of drop-out duration than those with over two years. Second, out of school youth used a day as 7.9 sleeping hours, 3.91 working hours. For the places for daily activities, they stayed at home for 10.73 hours, at working place for 3.66 hours. The future plan was the most for job plan. Third, there was a positive correlation between self-esteem, hope, and happiness of adolescents out of school. Fourth, the relative impact on the happiness of out of school youth ranked in the order of self-esteem, hope, employment plans, and household income level.

Evaluating and Improving Urban Resilience to Climate Change in Local Government: Focused on Suwon (기초지자체 기후변화 대응을 위한 도시회복력 평가 및 증진방안: 수원시를 대상으로)

  • Kim, Eunyoung;Jung, Kyungmin;Song, Wonkyong
    • Journal of Environmental Impact Assessment
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    • v.27 no.4
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    • pp.335-344
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    • 2018
  • As the damage caused by the abnormal climate due to climate change is increasing, the interest in resilience is increasing as a countermeasure to this. In this study, the resilience of Suwon city was examined and the plan to improve the resilience were derived against climate impacts such as drought, heatwave, and heavy rain. Urban resilience is divided into social resilience (e.g. vulnerable groups, access to health services, and training of human resources), economic resilience (e.g. housing stability, employment stability, income equality, and economic diversity), urban infrastructure resilience (e.g.residential vulnerability, capacity to accommodate victims, and sewage systems), and ecological resilience (e.g. protection resources, sustainability, and risk exposure). The study evaluated the urban resilience according to the selected indicators in local level. In this study, the planning elements to increase the resilience in the urban dimension were derived and suggested the applicability. To be a resilient city, the concept and value of resilience should be included in urban policy and planning. It is critical to monitor and evaluate the process made by the actions in order to continuously adjust the plans.