• 제목/요약/키워드: pre-employment efforts

검색결과 4건 처리시간 0.022초

대졸 청년층 취업준비노력의 실태와 성과 (Effects of Pre-Employment Efforts of the College Graduate Youth in Korea)

  • 박성재;반정호
    • 한국인구학
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    • 제29권3호
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    • pp.29-50
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    • 2006
  • 이 연구는 청년들의 취업준비노력이 노동시장 이행에 어떤 영향을 미치는가를 살펴보고 있다. 노동시장 성과는 첫 일자리로의 이행기간, 300인 이상 사업장 취업여부, 첫 일자리의 임금수준의 3가지 범주로 구분하여 살펴보았다. 취업준비노력이 첫 일자리로의 이행기간에 미친 효과를 보면 재학 중 일 경험과 취업준비 시기는 첫 일자리로의 탈출확률을 높이지만, 학점, 영어점수, 면접횟수는 오히려 이행기간을 장기화시키는 효과가 있었다. 취업효과는 학력에 따라 그 효과가 상이하였다. 전문대 졸업자는 교육훈련과 재학 중 일 경험이, 대졸자는 학점, 현장실습, 외국어능력 등이 좋은 일자리로의 진입에 통계적으로 유의미한 영향을 미치고 있다. 임금효과에서도 전문대 졸업자와 4년제 대학 졸업자의 차이가 발견되었다. 전문대 졸업자는 재학 중 직업훈련, 재학 중 일 경험, 영어능력이 임금수준을 높이고 있다. 4년제 대학 대졸자는 졸업 후 직업훈련을 받거나 재학 중 일 경험은 오히려 임금수준을 낮추지만, 영어점수와 재학 중 취업준비는 임금보상이 높은 일자리로 진입할 확률을 높이는 것으로 나타났다.

건설안전 분야 평가항목에 대한 연구 -국내 건설공사현장을 중심으로- (Research on construction safety assessment topic areas -Focusing on domestic construction site-)

  • 안광용;강경식
    • 대한안전경영과학회지
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    • 제17권4호
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    • pp.1-12
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    • 2015
  • Recent construction site large disaster occurs in, even normal disaster not be reduced, the efforts of pre-disaster prevention for this is also a need to study the evaluation index. By comprehensive examination zero reform the current lowest bid system has included the social responsibility index is scheduled, objective and quantitative evaluation indicators making construction safety areas that are included in the item of social responsibility is required ing. In this study, the construction, in order to prevent disasters, efforts pre disaster prevention be presented metrics in the construction safety in the field of comprehensive examination system and the evaluation index, it is intended to examine the evaluation items for the evaluation indices.

The Effects of COVID-19 on Unemployment in Realising Sustainable Development Goals: Evidence from Malaysia

  • JASNI, Nur Syuhada;KAMARUDIN, Siti Nurhazwani;ABDULLAH, Azmira
    • The Journal of Asian Finance, Economics and Business
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    • 제10권1호
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    • pp.201-208
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    • 2023
  • The coronavirus (COVID-19) pandemic poses disastrous effects on human lives and hinders global efforts to realize the Sustainable Development Goals (SDGs) by 2030. The study examined the effects of the pandemic on unemployment toward realizing the SDGs. The downsizing and collapse of businesses have forcibly left many unfortunate Malaysians jobless and without income. The situation may directly influence government efforts to achieve SDG 8 'Decent work and economic growth', which indirectly affects SDG 1 'No poverty', SDG 2 'Zero hunger', and SDG 3 'Good health and well-being'. Pre-and post-pandemic assessments on unemployment and retrenchment level by sector were performed by adopting observation and data comparison methods. Critical findings revealed that the unemployment rate has risen among males and females and the youth, as well as the number of retrenchments. The services sector, specifically the wholesale, retail, trade, and hotel industry showed the highest number of retrenchments. Some important unemployment issues were also covered in this study, including the demand for employment, the role of government and business, and the effect of the gig economy on the current employment landscape. The avenue for future studies can focus on additional societal effects that could prevent the country from attaining the SDGs by 2030.

IT 아웃소싱의 가치에 관한 연구: 한국 산업에 대한 실증분석 (Value of Information Technology Outsourcing: An Empirical Analysis of Korean Industries)

  • 한건수;이강배
    • Asia pacific journal of information systems
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    • 제20권3호
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    • pp.115-137
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    • 2010
  • Information technology (IT) outsourcing, the use of a third-party vendor to provide IT services, started in the late 1980s and early 1990s in Korea, and has increased rapidly since 2000. Recently, firms have increased their efforts to capture greater value from IT outsourcing. To date, there have been a large number of studies on IT outsourcing. Most prior studies on IT outsourcing have focused on outsourcing practices and decisions, and little attention has been paid to objectively measuring the value of IT outsourcing. In addition, studies that examined the performance of IT outsourcing have mainly relied on anecdotal evidence or practitioners' perceptions. Our study examines the contribution of IT outsourcing to economic growth in Korean industries over the 1990 to 2007 period, using a production function framework and a panel data set for 54 industries constructed from input-output tables, fixed-capital formation tables, and employment tables. Based on the framework and estimation procedures that Han, Kauffman and Nault (2010) used to examine the economic impact of IT outsourcing in U.S. industries, we evaluate the impact of IT outsourcing on output and productivity in Korean industries. Because IT outsourcing started to grow at a significantly more rapid pace in 2000, we compare the impact of IT outsourcing in pre- and post-2000 periods. Our industry-level panel data cover a large proportion of Korean economy-54 out of 58 Korean industries. This allows us greater opportunity to assess the impacts of IT outsourcing on objective performance measures, such as output and productivity. Using IT outsourcing and IT capital as our primary independent variables, we employ an extended Cobb-Douglas production function in which both variables are treated as factor inputs. We also derive and estimate a labor productivity equation to assess the impact of our IT variables on labor productivity. We use data from seven years (1990, 1993, 2000, 2003, 2005, 2006, and 2007) for which both input-output tables and fixed-capital formation tables are available. Combining the input-output tables and fixed-capital formation tables resulted in 54 industries. IT outsourcing is measured as the value of computer-related services purchased by each industry in a given year. All the variables have been converted to 2000 Korean Won using GDP deflators. To calculate labor hours, we use the average work hours for each sector provided by the OECD. To effectively control for heteroskedasticity and autocorrelation present in our dataset, we use the feasible generalized least squares (FGLS) procedures. Because the AR1 process may be industry-specific (i.e., panel-specific), we consider both common AR1 and panel-specific AR1 (PSAR1) processes in our estimations. We also include year dummies to control for year-specific effects common across industries, and sector dummies (as defined in the GDP deflator) to control for time-invariant sector-specific effects. Based on the full sample of 378 observations, we find that a 1% increase in IT outsourcing is associated with a 0.012~0.014% increase in gross output and a 1% increase in IT capital is associated with a 0.024~0.027% increase in gross output. To compare the contribution of IT outsourcing relative to that of IT capital, we examined gross marginal product (GMP). The average GMP of IT outsourcing was 6.423, which is substantially greater than that of IT capital at 2.093. This indicates that on average if an industry invests KRW 1 millon, it can increase its output by KRW 6.4 million. In terms of the contribution to labor productivity, we find that a 1% increase in IT outsourcing is associated with a 0.009~0.01% increase in labor productivity while a 1% increase in IT capital is associated with a 0.024~0.025% increase in labor productivity. Overall, our results indicate that IT outsourcing has made positive and economically meaningful contributions to output and productivity in Korean industries over the 1990 to 2007 period. The average GMP of IT outsourcing we report about Korean industries is 1.44 times greater than that in U.S. industries reported in Han et al. (2010). Further, we find that the contribution of IT outsourcing has been significantly greater in the 2000~2007 period during which the growth of IT outsourcing accelerated. Our study provides implication for policymakers and managers. First, our results suggest that Korean industries can capture further benefits by increasing investments in IT outsourcing. Second, our analyses and results provide a basis for managers to assess the impact of investments in IT outsourcing and IT capital in an objective and quantitative manner. Building on our study, future research should examine the impact of IT outsourcing at a more detailed industry level and the firm level.