• Therapeutic Science for Rehabilitation
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• 제11권2호
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• pp.63-76
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• 2022

Objective : The purpose of this study is to examine the relationship with employment of the disabled considering the severity and the type of disability. Methods : Data from the 4th data of the 2nd wave Panel Survey of Employment for the Disabled (PSED) by Korea Employment Agency for Persons with Disabilities (KEAD) were used. The odds ratio of employment in disability types according to severity of disability was calculated by logistic regression analysis. Results : When the related variables were adjusted, the employment of internal disability type was significantly lower than that of external disability type by 0.413(95% CI:0.271-0.629) times in the group with severe disability. On the other hand, in the group with less severe disability, internal disability was 0.475(95% CI:0.327-0.690) times lower than that of external disability (p=<.001). Conclusions : Employment may vary depending on the type of disability, even if the disability severity level is the same. It is necessary to prepare judgment criteria that can reduce the variation in employment by considering both the type and severity of the disability.

• Economic Analysis
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• 제26권1호
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• pp.1-33
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• 2020

Recent discussions about a minimum wage increase (MWI) and its influence on the economy have mainly focused on the quantitative aspects, such as labor costs and employment. However, concerning the qualitative aspects, an MWI could have positive effects by enhancing firm productivity and crowding out marginal firms from the market. These positive effects of an MWI can offset, to some extent, its potential negative effects - increasing labor costs and decreasing employment, among others. In this regard we empirically examine the impact of an MWI on firm productivity (total factor productivity). Using firm level panel data from the manufacturing industry in Korea, we calculate the influence rates of a minimum wage by sector and by firm size (number of workers), and analyze its effects on firm productivity. In particular, the production functions of the firms are estimated by taking into account endogeneity among the input factors, in order to resolve the drawbacks of existing studies - underestimating the capital factor coefficient and overestimating the labor factor coefficient. This study finds that the influences of an MWI on wages, employment, and productivity are substantially different across sectors and firm sizes. While an MWI has shown to have positive influences on productivity growth in the manufacturing industry as a whole, each sector demonstrates a different direction of effect, and the degree of productivity change also varies by sector. The impacts of an MWI on firm productivity are generally estimated to be more negative for smaller firms, but in some sectors the effects are found to be positive. In addition, the wage increases resulting from an MWI seem to cause a productivity enhancement across all sectors in the manufacturing industry. The policy implications of this study are as follows. Considering the empirical findings that an MWI causes an increase in productivity in many sectors of the manufacturing industry, it would be desirable to take into consideration not only the negative side effects but also the positive effects of an MWI when designing any future minimum wage policy. Moreover, in spite of there being a uniform minimum wage, this study finds that the diverse influence rates of a minimum wage across firms have different impacts on wages, employment, and productivity across sectors or firm size. This finding could be conducive to discussions about differentiation among minimum wage schemes by sector or firm size.

• Korea journal of population studies
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• 제31권1호
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• pp.27-54
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• 2008

The purpose of this study is to analyze the effect of policy boosting fertility and labor participation rate on potential GDP growth rate. To do this, we employ a growth accounting approach, which decomposes per capita GDP into two parts. The first one is the change of dependency ratio and the other is the change of labor input. The labor input is again decomposed into the qualitative and quantitative parts. The quantitative part considers the change of labor participation rate and working time. The qualitative aspects is based on the trend of productivity of labor. From the scenarios of NSO(National Statistics Office), the effect of the fertility-raising policy on per capita potential GDP growth rate is calculated and projected to the year of 2050. We also forecast the policy effect inducing high labor participating rate of female labor and beyond 55-year old labor. The baseline results show that the per capita GDP growth rate will show mid 4% to the year of 2010, gradually declining to 3.94% by 2020, 3.03% by 2030, 2.41% by 2040. The high fertility rate scenario will not have effects on the potential growth by 2030, but show 0.10%p higher per capita GDP growth rate than that of baseline scenario result. By the high female labor participation policy, the per capita GDP growth rate will reach 0.04%p higher per capita GDP growth rate than that of baseline scenario. Based on the results of this paper, we conclude that the quantitative labor input cannot solely account for the trend decline of potential GDP, and the qualitative aspect, like labor productivity, is much more important element to sustain and boots the economic growth.

• 한국사회정책
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• 제25권1호
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• pp.3-43
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• 2018

The digital revolution has brought about both positive expectations and negative concerns. Many experts predict that the current technological revolution, so-called "Fourth Industrial Revolution", which is expected to increase productivity in a disruptive way, has significant implications on employment and the labor market. In subsequence, the possible demise of the traditional employment system could markedly undermine the comtemporary welfare state. As a result, basic income has emerged as an alternative. However, little welfare state research has conducted the systematic review on the impact of the present technological revolution on employment and welfare states. In this paper, we will start to review the gist of the digital revolution and critically review recent studies on its effects on employment and welfare states together with actual case studies. In particular, we will investigate the experiences of platform economies of Uber and Amazon Mechanical Turk, and the German experience from 'Work 4.0'. Finally, we will discuss key issues of future welfare state reforms. This research argues that the effects of the technological revolution on employment and welfare state policies would be enormous, but they will be most likely to be mediated by domestic political and policy institutions. It emphasizes the importance of high-quality social investment that would enable individuals to flexibly adapt technological changes and support creative human capital resource. But, high-quality social investment could not be sustained without the decent social protection system that universally provides security to people.

• Journal of Internet of Things and Convergence
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• 제10권1호
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• pp.13-20
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• 2024

The purpose of this study is to objectively quantify the degree of social exclusion of the disabled and verify the impact of the derived degree of social exclusion on the quality of life of the disabled. And the purpose is to verify whether job satisfaction moderates the impact of social exclusion and quality of life of disabled people. The subjects of the study were 1,280 people extracted through a panel survey on employment of the disabled. The independent variables of social exclusion are economic difficulties, employment status, mental health, and social activities. The dependent variable was quality of life, and the control variable was job satisfaction. The research results are as follows. First, the sub-factors of social exclusion that affect quality of life were economic difficulties, mental health, participation in social activities, and employment status. Second, job satisfaction showed a moderating effect in the relationship between social exclusion and quality of life. And the sub-factors of social exclusion that have a moderating effect on quality of life were identified as economic difficulties, employment status, and social activities. In follow-up research, it will be necessary to investigate employment programs for the disabled in developed countries and analyze the implementation background, implementation details, achievements, and limitations, thereby contributing to the establishment of employment policies for the disabled. It is hoped that through this research, the vicious cycle of social exclusion and discrimination of the disabled will be improved and an opportunity will be provided to improve the quality of life through the economic activities of the disabled.

• 한국벤처창업학회:학술대회논문집
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• 한국벤처창업학회 2019년도 춘계학술대회
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• pp.87-90
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• 2019

본 연구의 목적은 강원도에서 실시하는 청년창업 지원사업이 창업성과에 미치는 영향을 연구하는 것이다. 강원도 지역의 경우 전국대비 상대적으로 낮은 임금, 10인 미만의 사업체와 주로 도소매 숙박업이 주를 이루는 영세한 산업구조로 인한 고용불안과 일자리 질 저하로 상대적 학력수준이 높은 일자리가 부족함에 따라 청년층의 높은 전출률을 초래하고 있다. 강원도 내 청년 일자리 문제는 생산가능인구 감소와 고령화문제로 이어지면서 이를 해결하기 위하여 강원도에서는 새로운 일자리 창출과 고용안정을 위하여 도내 청년 창업자를 발굴하고 육성하는 지원사업을 추진 중에 있다. 본 연구에서는 강원도 지역의 청년창업 지원사업을 통한 창업성과를 분석하고 청년창업자에게 유의미한 영향을 미쳤는지, 청년 일자리 창출에 상관관계를 끼쳤는지에 대하여 연구하려고 한다. 선행논문에서의 창업지원정책이 미치는 영향에 대한 연구결과에 따라 정부 창업지원사업과 창업성과간의 유의미한 관계가 있을 것이라고 예상할 수 있었고 본 연구에서는 기존의 선행연구에서 확장하여 후속지원에 대한 영향관계에 대하여 분석하고 그에 따른 시사점을 도출하고자 한다.

• Journal of the Korea Convergence Society
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• 제11권7호
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• pp.207-216
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• 2020

The purpose of this study is to analyze the factors contributing to the wage inequality between employment of persons with disabilities. Among the raw data provided by the Korea Employment Development institute for persons with disabilities, 3,546 cases were studied, excluding cases in which major variables were missing, in the 『2018 survey on the employment status of the disabled in business』. Data analysis was conducted using SPSS 25 and STATA 14 to analyze wage inequality among employment companies for persons with disabilities. Data analysis was conducted using SPSS 25 and STATA 14 to analyze wage inequality in employment companies for persons with disabilities. The study found that factors contributing to the wage inequality in employment companies for the disabled include 'minimum level of education'12.63%, 'asset level'6.37%, 'level of work required'4.87%, 'ratio of female employment'3.30%, 'sales profit'2.33%, 'education training for employees'1.19%, 'labor union membership rate'0.67%, 'work type'0.42%, 'average working hours'0.41%, 'recognition of work level of disabled people'0.34%, 'recognition that employment of disabled people is helpful to companies'0.23%, 'positive recognition of work cost of disabled people'0.17%. Based on these results, this study proposed access at the level of employment business for the disabled, social level, and worker level for the disabled.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제21권3호
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• pp.108-117
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• 2020

The purpose of this study is to analyze the blind spots of Korea's employment insurance system from a gender perspective. The data used for this study was derived from 12th (2009) and 20th (2017) years of the Korean Labor and Income Panel Studies. Logistic regression analysis was performed to analyze the causes of the blind spot. As a result, the gender gap decreased by 5% in 2017 compared to that in 2009. In the coverage of employment insurance by gender, women are more likely to join when controlling for other demographic factors. If the conditions in the labor market are the same, then women's insurance coverage is likely to be higher than that of men. The policy suggestions are as follows. The current employment insurance system has a greater impact on the labor market characteristics than the difference in the participation rate according to gender itself. The results of this study show that bridging the gender gap in the labor market is an important way of bridging the gender gap in employment insurance coverage. In the short term, the social insurance subsidy program may be effective, but policy efforts are fundamentally needed to improve the employment environment of women and low-wage workers.

• The Korean Journal of Health Service Management
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• 제14권1호
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• pp.111-122
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• 2020

Objectives: The study aims to compare indirect form of employment with direct form of employment on the variables of occupational danger and physical health. Methods: I studied based on the data of 5th Korean Working Conditions Survey (KWCS) which was performed by Occupational Safety & Health Research Institute of Korea Occupational Safety and Health Agency in 2017. SAS 9.4 was used for statistical analysis of the final data. Results: Based on the verification result, the hazard is higher for direct employment than for dispatch or subcontract in case of exposure to risks in the health and social welfare industry. Based on cross tabulation, significant differences were found in the proportions of harmful and safe tasks in direct employment and those in outsourcing in the physical health industry. It was found that the risk of hazard is 2.18 times higher in outsourcing jobs than in direct employment. Conclusions: It is necessary to consider a dispatch and subcontract partner as a strategic partner and not simply hand over dangerous or hard tasks to them. Active and aggressive cooperation along with support from the employer enterprise built in the contract is necessary for the safety and health of dispatch or subcontract laborers.

• Korean Journal of Social Welfare Studies
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• 제49권2호
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• pp.93-124
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• 2018

Using the Korean Survey of Household Finances and Living Conditions panel data from 2012~2016, this study analyzed youth (19~34 years) poverty and employment and examined the factors that affect employment status. The analysis revealed an increase in the proportion of young people who are students or jobless; the economic conditions of the young people varied by factors such as marital status, education, job status, and loans; and the government public transfer policy had little impact on reducing the relative poverty rate of the youth. We also examined the factors affecting the youth's employment status and the risk of being employed in low-paid jobs, using multi-logit and logit regression model respectively. Considering employment status, the older and more educated the youth were, the less frequently they were employed in temporary or daily jobs instead of regular ones, but there was no difference between genders in terms of having temporary or daily jobs. A logit analysis on the determinants of low-paid jobs demonstrated that women, the less educated, spouses or children of the household, and temporary or daily workers have a greater probability of working at low-paid jobs. As women became older, their risk of having low-paid jobs increased, which demonstrated the phenomenon of "lock-in" at low-paid jobs. Temporary or daily workers of all age groups faced a higher risk of lowpaid employment, which stood out for the youth. Based on these results, we suggest that government employment and welfare policies should consider individual characteristics of the youth and their life cycle, along with efforts to supply decent jobs, continuously and stably.