• 제목/요약/키워드: occupations

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Prediction of the Probability of Job Loss due to Digitalization and Comparison by Industry: Using Machine Learning Methods

  • Park, Heedae;Lee, Kiyoul
    • Journal of Korea Trade
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    • 제25권5호
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    • pp.110-128
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    • 2021
  • Purpose - The essential purpose of this study is to analyze the possibility of substitution of an individual job resulting from technological development represented by the 4th Industrial Resolution, considering the different effects of digital transformation on the labor market. Design/methodology - In order to estimate the substitution probability, this study used two data sets which the job characteristics data for individual occupations provided by KEIS and the information on occupational status of substitution provided by Frey and Osborne(2013). In total, 665 occupations were considered in this study. Of these, 80 occupations had data with labels of substitution status. The primary goal of estimation was to predict the degree of substitution for 607 of 665 occupations (excluding 58 with markers). It utilized three methods a principal component analysis, an unsupervised learning methodology of machine learning, and Ridge and Lasso from supervised learning methodology. After extracting significant variables based on the three methods, this study carried out logistics regression to estimate the probability of substitution for each occupation. Findings - The probability of substitution for other occupational groups did not significantly vary across individual models, and the rank order of the probabilities across occupational groups were similar across models. The mean of three methods of substitution probability was analyzed to be 45.3%. The highest value was obtained using the PCA method, and the lowest value was derived from the LASSO method. The average substitution probability of the trading industry was 45.1%, very similar to the overall average. Originality/value - This study has a significance in that it estimates the job substitution probability using various machine learning methods. The results of substitution probability estimation were compared by industry sector. In addition, This study attempts to compare between trade business and industry sector.

건설업 직종별 노출 가능 유해인자 및 노출강도에 관한 평가 (Evaluation on Probability and Intensity of Hazards Exposure by Construction Occupations)

  • 박현희;김세동
    • 한국산업보건학회지
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    • 제33권3호
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    • pp.317-331
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    • 2023
  • Objectives: Construction workers are exposed to various hazardous substances simultaneously. However, little is known about the exposure hazards in construction industry. This study was aimed at identifying the risk of exposure hazards among construction workers. Methods: The expert survey (n=29) was conducted, including construction industry health managers (n=11) and work environment monitoring experts (n=18), on exposure probability, intensity and risk of hazardous substances by construction occupations Results: The exposure hazards of 30 construction occupations were identified and summarized through a literature review and expert survey. The most prevalent hazards were in order of noise, awkward posture, heat/cold, crystalline silica, cement/concrete dust, metal fumes, and volatile organic compounds. The hazards with highest risk score(over seven points) at construction occupations were noise(formwork carpenter, concrete finisher, rebar worker, demolition worker, driller/rock blaster), hazardous rays(welder), heat/cold (earthworks, formwork carpenter, rebar worker, concrete placer, scaffolder), awkward posture(bricklayer, caulker/tile setter, rebar worker) and heavy lifting(bricklayer, rebar worker). Among construction workers, the job types with the highest risk of exposure to carcinogens, and in which occupational cancer has been reported, were in order of stonemason, concrete finisher, rock blaster, welder, insulation installer, painter, scaffolder, plant worker and earthworks in order Conclusions: Systematic research and discussion on occupational disease among construction workers and its various hazardous factors are needed to establish job exposure matrix for facilitating standard for promptly processing the workers' compensation.

금연법 강화가 흡연에 미치는 영향 (The Impacts of Smoking Bans on Smoking in Korea)

  • 김범수;김아람
    • KDI Journal of Economic Policy
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    • 제31권2호
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    • pp.127-153
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    • 2009
  • 국내외적으로 간접흡연이나 환경 속 담배연기가 미칠 수 있는 해악에 대한 관심이 고조되고 있으며, 그 결과 작업공간 내 금연정책이 점차 늘어나고 있다. 한국에서도 작업공간 내 금연정책이 2003년 국민건강증진법 개정으로 훨씬 강화되었다. 본 논문에서는 2001년과 2005년에 이루어진 국민건강영양조사를 이용하여 강화된 금연정책이 흡연율과 일평균 흡연 개비 수에 미친 영향을 분석하고자 한다. 금연법강화가 실내 작업공간 위주로 이루어진 점에 착안하여 법 개정의 영향을 많이 받은 실내근무자 직업군과 영향을 비교적 덜 받는 실외근무자 직업군을 비교하였다. 추정 결과, 금연법 강화로 95% 수준에서 유의하게 흡연율은 4.1%p 감소하였고, 흡연자 중 일평균 흡연 개비는 2.5개비 줄어든 것으로 나타났다.

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여성 근로자 분포와 직무에 따른 직종별 남녀 임금격차 분석 (The Relationship between Gender Wage Gap and Occupational Segregation)

  • 강주연;김기승
    • 노동경제논집
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    • 제37권4호
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    • pp.113-141
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    • 2014
  • 본 연구는 1999-2011년의 한국 노동시장을 대상으로 Mincer(1974)의 임금함수와 Oaxaca(1973)의 임금격차분해 모형을 이용하여 남성집중직(블루칼라직, 화이트칼라직)과 여성집중직의 성별 임금 보상체계와 임금격차를 분석하였다. 분석결과, 임금 결정요인에 대한 보상은 대체로 남성이 여성보다 큰 것으로 나타났다. 성별 임금격차액은 모든 직종에서 증가추세를 보였는데 화이트칼라직은 계수 격차, 여성집중직은 생산성 격차가 그 원인인 것으로 나타났다. 이러한 결과는 성별 임금격차의 접근방법이 직종별로 달라야 함을 시사한다.

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사회계층(社會階層)과 의복구매행위(衣服購買行爲)에 관(關)한 연구(硏究) - 서울시내 여고생(女高生)을 중심으로 - (A Study on the Relationship between the Social Stratification and the Clothing Purchase Practices - Centering around High School Girls in Seoul -)

  • 김애련;김진구
    • 복식
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    • 제13권
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    • pp.151-159
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    • 1989
  • The purpose of this study is to research into the relationship between the clothing purchase practices of high school girls in Seoul and their social stratification. For the survey of social stratification, the information of the monthly income of the households were extracted from the Annual Report of the City-Household in the Economic Planning Board : as for the occupations of patriarches, the groups of occupations were extracted from the Census of the Population & House in the Economic Planning Board and the types of occupations from the Korea Professional Dictionary in the Labor Ministry. The survey of clothing purchase practices is based on Ryan's Clothing: A Study in Human Behavior. The questionnaires were distributed to the seven girls' high schools in Seoul. The data from 354 respondents was analyzed by Pearsons'r, ANOVA and $x^2$ test. The Results were: 1. There was a significant relationship between clothing purchase practices variables and their social stratification. 2. There were differences in clothing purchase practices variables according to the social stratification. 3. There were significant relationships among the three clothing purchase practices variables.

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Cancer Incidence by Occupation in Korea: Longitudinal Analysis of a Nationwide Cohort

  • Lee, Hye-Eun;Zaitsu, Masayoshi;Kim, Eun-A;Kawachi, Ichiro
    • Safety and Health at Work
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    • 제11권1호
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    • pp.41-49
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    • 2020
  • Background: We performed this study to investigate the inequalities in site-specific cancer incidences among workers across different occupations in Korea. Methods: Subjects included members of the national employment insurance. Incident cancers among 8,744,603 workers were followed from 1995 to 2007. Occupational groups were classified according to the Korean Standard Occupational Classification. Age-standardized incidence rate ratios were calculated. Results: We found that men in service/sales and blue-collar occupations had elevated rates of esophageal, liver, laryngeal, and lung cancer. Among women, service/sales workers had elevated incidences of cervical cancer. Male prostate cancer, female breast, corpus uteri, and ovarian cancers, as well as male and female colorectal, kidney, and thyroid cancer showed lower incidences among workers in lower socioeconomic occupations. Conclusions: Substantial differences in cancer incidences were found depending on occupation reflecting socioeconomic position, in the Korean working population. Cancer prevention policy should focus on addressing these socioeconomic inequalities.

의복행동과 직업과의 관계연구 - 대전지역의 여성을 중심으로 - (A Study on the Relationship between Clothing Behavior and Occupations of Women in Dae Jeon)

  • 박길순
    • 대한가정학회지
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    • 제20권4호
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    • pp.33-44
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    • 1982
  • The purpose of this study was to investigate clothing behavior of women in Dae Jeon and to find out the relationship between clothing behavior and occupations. Measures selected for this study was‘Creekmore Scales of Eight Clothing Variables’, (Creekmore, 1966). The questionnaires were distributed to women in Dae Jeon including teachers, women working in a government office, women working in a company, nurses, women working in a bank, women working in a department store and the business center, technicians, women working in a merry making place, and house wives. For statistical analyses of the data from 400 respondents, F-test, and t-test were used. The results were as follows: 1. There were partially significant relationship between clothing behavior and occupations. The significant variables were modesty, comfort, approval, and dependence among the eight clothing variables. a) The group of highest interest in modesty and comfort was house wives and the group of lowest interest was women working in a merry making place. b) The group of highest interest in approval was women working in a merry making place and the group of lowest interest was women working in a bank. c) The group of highest interest in dependence was teachers and the group of lowest interest was nurses. 2. Partially significant differences were found in clothing behavior between a working women and house wives: The house wives were more interest in modesty, comfort, management. 3. Partially significant difference were found in clothing behavior between White-collar workers and Blue-collar workers were more interest in attention, approval, interest.

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The Impact of COVID-19 on Jobs in Korea: Does Contact-intensiveness Matter?

  • AUM, SANGMIN
    • KDI Journal of Economic Policy
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    • 제44권2호
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    • pp.1-28
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    • 2022
  • This paper studies how COVID-19 has affected the labor market in Korea through a general equilibrium model with multiple industries and occupations. In the model, workers are allocated to one of many occupations in an industry, and industrial or occupational shocks alter the employment structure. I calibrate the model with Korean data and identify industrial and occupational shocks, referred to here as COVID-19 shocks, behind the employment dynamics in 2020 and 2021. I find that COVID-19 shocks are more severe for those with jobs with a higher risk of infection and in those that are more difficult to do from home. Interestingly, the relationship between COVID-19 shocks and infection risk weakened as the pandemic progressed, whereas the relationship between COVID-19 shocks and easiness of work-from-home strengthened. I interpret the results as meaning that the pandemic may direct future technological changes to replace tasks that require contact-intensive steps, and I simulate the impact of such technological changes through the lens of the model. The results show that such technological changes will lower the demand for manual workers compared to the demands for other occupations. This contrasts with the earlier trend of job polarization, where manual workers continued to increase their employment share, with the share of routine workers secularly declining at the same time.

Workload and Productivity during Work from Home (WFH) for the Construction Workforce

  • Wu, Hongyue;Chen, Yunfeng
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.492-499
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    • 2022
  • A large number of employees shifted to Work from home (WFH) due to the COVID-19 pandemic, including the construction workforce. The changes in workload and productivity due to WFH impact the work performance and economic outputs of companies. However, there are mixed results about the impacts of WFH on workload and productivity. In particular, limited studies focused on specific types of work of different occupations in the construction workforce. This study aims to explore the impacts of WFH on workload and productivity considering different types of work for the construction workforce in the U.S. After identifying three main occupations and five types of work, an online survey (N = 69) was distributed. Descriptive analysis showed that participants had less workload (0.82 hours/week) and lower productivity (9.69%) during WFH. Three occupations had varied changes due to the different types of work. Analysis of Variance (ANOVA) indicated that there was no significant difference in workload, while productivity was decreased during WFH. In particular, the productivity of project-related work and communication and documentation decreased significantly. Overall, participants finished 2.85% less workload per week during WFH. The findings provide an insight into WFH in the construction workforce, which improves future remote or hybrid work arrangements in the construction industry.

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미래 융합환경 기반의 정보보호 직업군 설계 (A Design on Information Security Occupational Classification for Future Convergence Environment)

  • 이윤수;신용태
    • 한국전자거래학회지
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    • 제20권1호
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    • pp.201-215
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    • 2015
  • 정보화 시대를 넘어 융합의 시대로 나아감에 따라 고도화된 보안위협이 발생하고, 그에 따라 정보보호에 대한 필요성 및 중요성은 더욱 커져가고 있다. 그러나 그간의 국내 연구들은 정보보호 기술 직업군 위주의 단편적인 분류를 수행하고 있으며 미래 융합환경에 대한 고려가 부족한 실정이다. 따라서, 본 논문에서는 미래 융합환경에 대비한 정보보호 직업분류체계 및 필요역량을 설계하기 위해서 기존 정보보호 직업군 분류체계 및 직업군별 필요역량에 대한 선행연구 분석을 통해 정보보호 인력의 정의를 내린 후 직업군 분류를 실시하고 직업군별 필요역량을 도출하였다. 세부적으로 미래 융합환경에 대해 고려하여 정보보호 직업분류체계를 구성한 미국의 NICE(National Initiative for Cybersecurity Education)를 기반으로 하여 국내 실정에 적합한 형태로 직업군 및 직업군별 필요역량을 재분류하고 타당성을 검증하였다. 본 연구결과는 미래 융합환경에 적합한 정보보호 인력의 수급차 해소 및 처우개선을 위한 기초 자료로서 활용할 수 있을 것이다. 또한 향후 연구를 통해 정보보호 직업군별 필요역량을 이용하여 해당 직업군에 필요한 융합적인 직무역량을 습득할 수 있는 표준화된 교육 훈련방법을 마련하는데 활용할 수 있을 것으로 기대된다.