• Land and Housing Review
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• v.14 no.1
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• pp.67-82
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• 2023

Using the Artificial Neural Network model and Binary Logistic Regression model, this study investigates influence factors on the quality of life in terms of housing environment during the COVID-19 in Seoul. The results show that the lower the satisfaction level of housing policy, the lower the quality of life in the employment field and the lower the quality of residential field. On the other hand, permanent workers and self-employed respondents have experienced improvement in residential quality during the pandemic. A limitation of this study is associated with disentangling the causal relationship using the 'black box' characteristics of ANN method.

• Land and Housing Review
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• v.14 no.1
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• pp.1-16
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• 2023

This study examines the housing-related characteristics of unmarried youth using occupational history data from the 10th-14th (2016-2020) youth panel (YP2007) of the Korea Employment Information Service, and the characteristics of housing and employment. Their effect on marriage intention was empirically analyzed. The results of the analysis show that highly educated people, high-wage workers, household heads or economically independent young people, and young people in good financial conditions have a high willingness to marry. Their economic conditions are very important factors. Among the young employed who have become economically independent from their parents, full-time permanent workers, workers at large corporations, and highly waged youth showed a strong desire to get married. On the contrary, young people who are insecure temporary/daily workers, workers at small firms, and low-wage workers show a low willingness to marry. In conclusion, the results imply that young people who are in a vulnerable state in the labor market are giving up or delaying their marriage. Therefore, it is necessary to enhance policies to provide better employment opportunities for youth and, simultaneously, revamp the policy measures to enhance housing conditions.

• KDI Journal of Economic Policy
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• v.9 no.1
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• pp.43-67
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• 1987

산업구조(産業構造)의 고도화과정(高度化過程)에서는 고용흡수력(雇傭吸收力)이 감소(減少)하는 양적측면(量的側面)의 과제(課題)와 기술인력(技術人力)의 수요(需要)가 상대적으로 증가(增加)하는 질적측면(質的側面)의 인력정책과제(人力政策課題)가 동시에 야기(惹起)된다. 본(本) 논문(論文)에서는 이러한 여건변화(與件變化)에 대응(對應)하는 정책과제(政策課題)를 도출(導出)하기 위하여 인력수요(人力需要)의 결정요인(決定要因)을 실증분석(實證分析)하였다. 거시분석(巨視分析)에서는 1970~84년(年) 기간(期間)의 연간(年間) 시계열자료(時系列資料)를 이용(利用)하여 노동수요함수(勞動需要函數)를 추정(推定)하여 산업별(産業別) 결정요인(決定要因)을 비교분석(比較分析)하였으며, 미시분석(微視分析)에서는 섬유(纖維) 자동차(自動車) 전자산업(電子産業)에서 임의추출(任意抽出)한 200개(個) 표본기업(標本企業)에 대한 횡단면자료(橫斷面資料)를 이용(利用)하여 기업(企業)의 인력수요행태(人力需要行態)를 분석(分析)하였다. 산업별(産業別) 노동수요(勞動需要) 분석결과(分析結果)를 보면, 자본비용(資本費用)에 대한 노동비용(勞動費用)의 상대적상승(相對的上昇)이 노동수요(勞動需要)를 감소(減少)시켜 왔으나, 고용(雇傭)은 기본적으로 자본투자(資本投資)로부터 더 큰 영향을 받는 것으로 나타났으며, 또한 자본(資本)의 고용창출효과가(雇傭創出效果), 특히 제조업부문(製造業部門)에서, 시간(時間)의 경과(經過)에 따라 감소(減少)하는 것으로 분석(分析)되었다. 미시분석결과(微視分析結果)를 보면, 전문대졸(專門大卒) 및 고졸학력(高卒學力) 근로자(勤勞者)에 대한 수요(需要)는 중소기업(中小企業)에서, 대졸(大卒) 및 중졸이하학력(中卒以下學歷) 근로자(勤勞者)는 대기업(大企業)에서 흡수(吸收)하려는 것으로 나타났으며, 생산요소중(生産要素中) 노동(勞動)에 대한 투자우선순위(投資優先順位)는 자동차산업(自動車産業)에서 높게 나타났으며, 숙련기능인격(熟練技能人格)에 대한 수요(需要)는 세 산업(産業) 모두 높게 나타났다.

• Journal of Labour Economics
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• v.25 no.3
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• pp.1-34
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• 2002

This paper investigates the effects of hours reduction on growth, investment, and consumption as well as employment. We adopt the basic framework of the indivisibility of labor developed by Hansen (1985) and Rogerson (1988) and extend it by allowing heterogeneity of workers in productive efficiency. On the basis of monthly panel data constructed from Economically Active Population Surveys and Household Income and Expenditure Surveys, we estimate the value of productive efficiency parameter of newly hired workers relative to existing workers by considering differences between the two groups in unobservable as well as observable worker characteristics. Numerical simulation of steady states demonstrates that reduction of statutory weekly hours from 44 to 40 leads to a rise in employees by 4.9 percent. However, GNP, investment, and consumption are all reduced by 2.03 percent, which is attributed to reduction in the amount of effective labor input, which in turn comes from reduction of actual average hours and productivity differences between exiting and newly hired workers.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.230-238
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• 2017

This study was to identify major determinants on the reemployment of disabled women. The researcher performed a logistic multiple regression analysis of raw data from Panel Survey of Employment for the Disabled(PSED) from 2008(1st) to 2014(7th). The analysis focused on 744 disabled women in reemployed and unemployed status. The study results showed that recipient status of the National Basic Livelihood Security System, the extent of disability, physical health condition, certification status, and the experience of previous employment were positively related with reemployment of disabled women. That is to say, disabled women have a higher tendency to be reemployed under the following circumstances: no recipients of the National Basic Livelihood Security System, minor disabilities, good health condition, possession of certification, and previous experience of employment. On the basis of study findings, implications were discussed such as a phase-in of health promotion policy to improve their health status, tailored job training programs, and development of various jobs in current labour market.

• Journal of Labour Economics
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• v.26 no.3
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• pp.1-28
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• 2003

This article examines the employment status of older male workers in the era of industrialization, focusing on the questions of how the extent of pressure toward retirement varied across different occupations, and how it changed over time. A comparison of hazard of retirement across occupations shows that men who had better occupations in terms of economic status and work conditions were less likely to retire than were those with poorer jobs. This result tends to reject the recent view that retirement was more voluntary than forced as early as a century ago. The difficulty faced by older workers in the labor market, as measured by the relative incidence of long-term unemployment, was relatively severe among craftsmen, operatives, and salesmen. In contrast, aged farmers, professionals, managers, and proprietors appear to have fared well in the labor market. The pattern of shifts in the occupational structure that occurred between 1880 and 1940 suggests that industrialization had brought a growth of the sectors in which the pressure toward departure from employment at older ages was relatively strong.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.8 no.2
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• pp.269-277
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• 1998

The crystallization method determines the material quality and consequent device performance. This paper investigates the crystallization of a-Si:H films on various substrate materials and analyzes the crystallization effect with and without using eutectic forming metals. From the examinations of the various substrate materials, a metal Mo was selected for the a-Si:H films growth and subsequent crystallization of it. For a sample without any eutectic metal layer, we observed grain size of $0.8{\mu}m$ after $1100^{\circ}C$ anneal treatment. To reduce crystallization temperature, we used some of the eutectic forming metals such as Au, Al and Ag. Poly-Si films with grain size over $10{\mu}m$ and (111) preferential plains were achieved using a premetal layer of Au at an anneal temperature of $700^{\circ}C$. The various crystallization effects of eutectic metal thickness and type were investigated for photovoltaic (PV) device applications.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.257-267
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• 2020

In this study, we predicted the employment ratio by the export industry using various machine learning methods and verified whether the prediction performance is improved by applying the constrained forecast combination method to these predicted values. In particular, the constrained forecast combination method is known to improve the prediction accuracy and stability by imposing the sum of predicted values' weights up to one. In addition, this study considered various variables affecting the employment ratio of each industry, and so we adopted recursive feature elimination method that allows efficient use of machine learning methods. As a result, the constrained forecast combination showed more accurate prediction performance than the predicted values of the machine learning methods, and in particular, the stability of the prediction performance of the constrained forecast combination was higher than that of other machine learning methods.

• Korean Journal of Social Welfare
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• v.66 no.4
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• pp.281-306
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• 2014

This paper explores the how the disability type, severeness and economic activeness affects marital satisfaction, and seeks to improve marital satisfaction among disabled by clarifying mediating effects of discriminatory experiences in everyday experiences. This research was done with 3,463 married disabled who were prone to everyday discrimination, among whom were enrolled in research database of Employment Development Institute of Korea Employment Promotion Agency for the Disabled. The research showed positive effects between marital satisfaction and everyday discriminatory experience except for unemployed people and severe among all the disabled type (external disability, sensory disability, mental disability, internal disability), disability severeness (severe and light), and economic activeness (paid workers, self-employed, home-worker, unemployed, not economically active). Also, relationship between disability type, severeness, economical activeness and marital satisfaction was partly mediated through everyday discriminatory experiences. Therefore, active movements to reduce everyday discrimination are strongly advised.

• Journal of Navigation and Port Research
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• v.41 no.4
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• pp.243-250
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• 2017

Seaports are not longer considered to be single entities for which the main activity is to load and discharge cargo, but rather as fundamental hubs within a complex supply chain serving global production networks. From a public perspective, they hold a key role in terms of their economic impact at the local, regional and national level by generating value added activity and employment. This issue is becoming increasingly pivotal for ports and their stakeholders. The objective of the study is to estimate a regression model of the value added activity and employment figures of 17 Italian ports for which there are no publications available. Concerning port system reform in Italy, the research intends to provide policy makers with a tool to measure the effects produced by ports and their importance to local communities and regions. The paper finds that in all Italian ports, the direct effects are larger than the indirect effects, and the bigger socio-economic effects are found in the biggest ports.