• Safety and Health at Work
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• v.14 no.4
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• pp.483-487
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• 2023

The objectives of the study were to explore the employment factors associated with long working hours, known as a risk factor for various health outcomes. The study relied on the national representative data of the 2013 French working conditions survey and a study sample of 23,378 full-time employees. Long working hours were defined by the threshold of 48 hours a week following the European Working Time Directive. The prevalence of long working hours was higher among men (13.5%) than among women (8.5%). Employees of the private sector, with permanent work contract, in small companies, and men in the services had a higher prevalence of exposure. This prevalence increased with educational and occupational levels. Our findings may help decision-makers to define preventive strategies. More research is needed to improve our knowledge of the employment factors associated with long working hours, as there may be strong differences between countries.

• The Korean Journal of Health Service Management
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• v.7 no.3
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• pp.57-69
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• 2013

In these days, the interest on health industry is increasing around the world. This paper attempts to estimate the economic effects of the Cosmetic Industrydusing the Input-Output Analysis. Especially, 78*78 Sector Tables were used as the first analysis tool. So then, 79*79 Sector Tables adjusted were used for that industry. The main analysis tools of this study are comparing and analyzing backward and forward linkage effects, the induced effects of the self industry and other industries and the induced coefficients such as product, value-added, job and employment. According to the result of analysis, the cosmetic industry has great economic impacts which affects the major macroeconomic factors such as product, value added and backward linkage effect. And the induced effects of the self cosmetic industry are significant compared to other industries in aspects of product, value-added, and employment.

• Hwankyungkyoyuk
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• v.16 no.1
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• pp.48-60
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• 2003

This study is aimed at providing an analysis on the re-training needs in for environmental sector as well as on the current status on the employment of technicians in the environmental industry. The questionnaires of 450 technicians employed in 993 environmental businesses are collected. The survey questions were composed mainly of current status on the employment of technicians in the environmental field, specialty and duty in the working place, the relations with a licence, the level of satisfactory to duties and intention to leave hls/her job, difficultles in the working coditions, experiences of training related environmental techniques during a recent year, and the needs of re-training in the environmental industry. The policies on custom-oriented retraining and technical education, on the curricula by sector, on the establishment of retraining.

• Journal of Navigation and Port Research
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• v.30 no.4
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• pp.303-308
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• 2006

This study is designed to analyze the production, employment, value added and income impacts tha, in the event of designation and development of Haeundae as 'Convention, Movie, Marine Leisure Special Zone', its marine sector would have on the local economy. The realization of marine leisure special zone of Haeundae in Busan is expected to lead to a direct and indirect investment of approx. \13.6 billion, resulting in \68.0 billion in production impact, 850 jobs in employment impact, \28.0 billion in value added impact and \14.5 billion in income impact. This is expected to give a boost to a stagnant local economy, offering opportunities for the revival of Busan's tourist industry.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.137-152
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• 2023

Data is indispensable for digital transformation of agriculture with the development of innovative information and communication technology (ICT). In order to devise and prioritize strategies for enhancing data competitiveness in the agricultural sector, we employed an Analytic Hierarchy Process (AHP) analysis. Drawing from existing research on data competitiveness indicators, we developed a three-tier decision-making structure reflecting unique characteristics of the agricultural sector such as farmers'awareness of the data industry or awareness of agriculture among data workers. AHP survey was administered to experts from both agricultural and non-agricultural sectors with a high understanding of data. The overall composite importance, derived from the respondents, was rated in the following order: 'Employment Support', 'Data Standardization', 'R&D Support', 'Start-up Ecosystem Support', 'Relaxation of Regulations', 'Legislation', and 'Data Analytics and Utilization Technology'. In the case of experts in the agricultural sector, 'Employment Support' was ranked as the top priorities, and 'Legislation', 'Undergrad and Grad Education', and 'In-house Training' were also regarded as highly important. On the other hand, experts in the non-agricultural sector perceived 'Data Standardization' and 'Relaxation of Regulations' as the top two priorities, and 'Data Center' and 'Open Public Data' were also highly rated.

• 재활복지
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• v.17 no.4
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• pp.151-176
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• 2013

The objective of this study is to find out what factors affect the persons with disabilities who want to seek jobs again and to propose the policy for the re-employment support for the persons with disabilities based on the results of analysis. The disabled employment panel data were analyzed for this study. This study used a logistic regression analysis. This study tells that factors which affects the re-employment of the persons with disabilities are gender, education, chronic disease status, and the help of others in daily life status, employment discrimination experience, and the type of employment. From the gender perspective, whereas men are in favor of re-employment in the clerical work, women are in favor of re-employment if they don't have a spouse or receive employment services. Through these analysis, it is proposed that policies for the specific female employment support and for the promotion of the entry into decent jobs, measures for the elimination of job discrimination and linkages with the employment of the persons with disabilities and medical/health sector.

• KDI Journal of Economic Policy
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• v.34 no.1
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• pp.87-133
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• 2012

This paper consists of two parts. The first part introduces a simple endogenous growth model. It is based on Romer(1990), but extends the original model by incorporating individual workers skill heterogeneity. Based on the heterogeneity, the model has a labor allocation mechanism between skilled (research) and unskilled (production) sectors. Different from Romer(1990), the labor allocation is determined by both demand and supply conditions of the economy. The endogenous growth model presented in this paper shows how the shape of the distribution of human capital affects on the labor allocation, hence on the employment structure, wage profile and economic growth. The model can be extended to an open economy. With the heterogeneity, the extended model explains distributional effect as well as growth effect of the economic openness. The second part provides empirical evidence in support of the extension part of the model presented in the first part. Based on the endogenous growth framework as proposed by Romer(1990) and Rivera-Batiz and Romer(1991), the model explains how economic openness affects labor allocation between skilled and unskilled sectors. According to the model, economic openness can affect labor allocation through two channels; knowledge spillover and specialization. First, the openness promotes knowledge spillover and hence increases the productivity of workers in the skilled sectors. This makes the economy employs more workers in the skilled sector. On the other hand, the openness causes global specialization which leads more employment in the skilled sector for the developed countries but at the same time, leads less employment in the skilled sector for the developing countries since the developing countries have comparative advantages in the unskilled sector. The empirical results obtained using cross country panel data in this paper support these two effects of knowledge spillover and specialization.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.34-41
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• 2018

This paper studied balanced regional development focused on employment in Korea, by analyzing regional disparity between regional and industrial employment. A Gini-coefficient decomposition method and Panel Granger causality test were conducted, using raw data of the Census on Establishments reported by the Statistics Korea. The regional and industrial disparity of employment, based on the Gini-coefficient decomposition method, have increased by year. However, the growth rates of disparity are on the decrease. Most of employment disparity occurred from regional disparity between SMA (Seoul Metropolitan Area) and Non-SMA. Industrial disparity are occurred mainly by the service industry. The amount of contribution to the whole disparity of inter/intra regional employment was differed by each industrial sector. Also the causal relationship between employment growth of manufacture and that of service industry was analyzed by Panel Granger causality test. In national level, the employment growth in manufacture industry has conduced that in service industry. On the other hand, in the Non-SMA, only the employment growth in manufacture industry has augmented that in service industry. In conclusion, to reduce employment disparity, the strategy for balanced regional development should be emphasized. Different strategies are needed across regions and industries. Basically creating new job in the Non-SMA is inevitable. In view of stable employment, manufacture industry is more desirable rather than service industry.

• Journal of Practical Engineering Education
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• v.16 no.3_spc
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• pp.351-365
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• 2024

Although jobs in the employment service sector have been continuously expanding over the past 20 years, many in the labor market point out that the signaling and selection functions of job counselor qualifications are deteriorating because job counseling and psychology were developed mainly in the early 2000s. Therefore, in this study, a survey was conducted on current employment service workers on the establishment and improvement of employment service professional qualifications. According to the data analysis, employment service workers lack the current level of competence compared to their importance in all their jobs, and there is a limit to taking charge of all the expanded employment service jobs such as corporate support, administrative management, and labor market program planning and execution as a single job counselor. As for the direction of reorganization of employment service-related qualifications in the future, more than half agreed to establish new qualifications. Similarly, more than half of the respondents wanted to strengthen the qualifications of existing job counselors related to employment services.

• Journal of Agricultural Extension & Community Development
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• v.21 no.3
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• pp.155-179
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• 2014

Input-output(I-O) analysis is now widely used to examine the economic impact of tourism. The study aims to demonstrate the impact of agri-tourism development project on local development in terms of income and employment. Based on the I-O transactions tables developed by Bank of Korea (2011), rural tourism related sectoral multipliers were derived with respect to output, income, employment, and value-added tax. The results of the I-O model indicate that in 2011, rural tourism development generated 1,387 billion Won of output impact, 287 billion Won of income impact, 275 billion Won of value-added impact, and 41,127 full-time jobs, respectively throughout direct, indirect, and induced effects. In particular, the restaurant sector had relative higher output and employment multipliers as compared to other industries, whereas they had lower multipliers of income and value-added than any other industries. The findings imply that the restaurant sector was relatively labor-intensive industry, generating high impact of employment effects.