• KDI Journal of Economic Policy
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• v.39 no.4
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• pp.1-23
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• 2017

I measure aggregate productivity growth in manufacturing between 1995 and 2013 as defined by Petrin and Levinsohn (2012). I decompose aggregate productivity growth into technical efficiency improvements, resource reallocations, and net entry effects. I find that aggregate productivity growth slows down after 2004 and that the rapid drop in technical efficiency growth contributed most to the decline. In this paper, I focus on the role of young plants with regard to productivity growth of Korean manufacturing. I show that young plants account for nearly half of APG (48%), while their value-added share is 14 percent on average between 1995 and 2013. I find that productivity growth at young plants has been declining for the last ten years. The lower growth of continuing young plants contributes to this trend. These results stress the important role of young plants in aggregate productivity growth and imply that understanding the dynamics of young plants is necessary to form effective start-up policies.

• Journal of Labour Economics
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• v.34 no.1
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• pp.33-69
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• 2011

This study analyses a productivity effect by E&T and R&D activities via estimation of E&T stock, R&D stock, and patent stock in a corporate level. Particularly, the analysis reflects the effects of skilled training after estimating E&T stock from E&T flow. When a spillover effect of E&T is analyzed, a methodology using technical proximity concept becomes a new experiment. Also classifying long and short term effects from the usage of Dynamic Panel Data Analysis becomes a new trial, too. The results of study appear that the productivity effects from E&T investments are relatively lager than R&D investments. Through spillover effects and long-term effects E&T and R&D activities have a strong influence on the corporate's productivity.

• Journal of Sericultural and Entomological Science
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• v.14 no.1
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• pp.25-35
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• 1972

This investigation was carried out to find the effects of silkworm rearing technique on the harvesting amounts. In spring and autumn of 1971, 14 silkworm rearing farmers at Botong Ri and Youngsoo Ri, Chongnam Myun, Hwaseung Kun, Kyunggi Do in Korea were selected as sample farmers. They were devided into two groups, high productivity group and low productivity group according to their harvesting amounts per box of silkworm eggs in 1970. The high productivity group represents the farmer who produced above average harvesting amounts per box, and the low group represents below average group. In this investigation, all farmers were adjusted to share uniform rearing condition with even mulberry leaves. Under this uniform condition, the effects of rearing techniques on the harvesting amounts per box of silkworm eggs and the effects of rearing condition on the harvesting amounts were inferred. Results obtained are as fellows; (1) Measuring from the 14 sample farmers, the effect of rearing technique on the harvesting amounts per box covers 15% of farmers in spring rearing season but 33% in autumn season. (2) Measuring from these sample farmers, the effects of the nutrition condition is less than 56% in spring rearing season but less than 69% in autumn, and it can be concluded that these effects include the effect of climate factor. (3) In the low productivity group. the most important facto. affecting the low productivity is non-disinfection of rearing environment.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.4
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• pp.697-709
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• 2010

The purpose of this paper is to analyze the effects of education and training on labor productivity of the leading firms in Busan during the period of 1999~2000. In order to control for firm heterogeneity and the endogeneity problem of education and training, we employed fixed effects model and 2SLS. Our empirical results showed that firms expenditures per capita on education and training were positively correlated with their labor productivity. We also tested whether the effects of education and training on labor productivity vary with firm size or across industries. It is shown that, while firm size makes no statistical differences, the effect of education and training on labor productivity is smaller in service industry than in manufacturing one. From heterogeneous effect of education and training across industries, we could infer that policies to support various education and training programs in service industry are needed to be reinforced to improve the competitiveness of service industry.

• Korean Journal of Poultry Science
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• v.21 no.2
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• pp.119-131
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• 1994

The physiological functions of drinking water in chicken were reviewed. The effects of ambient temperature, humidity, wind velocity, egg productivity, feed form, nutrients density, and breed types on the water consumption of chicken were summarized and discussed. Some guidelines for management of drinking water in commercial poultry farms were also suggested.

• Economic Analysis
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• v.26 no.1
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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.

• Journal of Information Technology Services
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• v.13 no.2
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• pp.195-217
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• 2014

This paper has explored when implementing SW development project of the IT service corporations, what factors affect its productivity in SW development methodology. The importance of the AHP analysis surveyed from the experts in IT service companies and related committee, was shown in the order of the following processes : 1) Deployment process 2) Management process 3) Establishment process. It is measured the methodology levels of establishment, deployment and management in each project using the survey results collected from project execution members and analyzed the productivity of projects that have been executed within 2 years. Using project methodology level, productivity correlation analysis, and regression analysis, this study confirms that the methodology deployment level brings positive effects significantly to SW development productivity. The significance of this study would be not only to research and analyze SW development productivity using the real project execution data but also to underline the necessities and the importance of steady research, deployment and support for SW development productivity improvement.

• KDI Journal of Economic Policy
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• v.39 no.1
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• pp.1-18
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• 2017

This paper empirically studies the effect of public procurement on small and medium-sized enterprises (SMEs) in the Republic of Korea using firm-level data. Public procurement, the purchase of goods and services from private firms by the public sector, is regarded as an important policy measure for providing support to firms, particularly SMEs. This study uses establishment-level panel data of the mining and manufacturing sectors from the Korean National Bureau of Statistics (Statistics Korea) and procurement history from the Korean Public Procurement Service to empirically estimate the effects of public procurement on firms' productivity (total factor productivity) and survivability. Using a propensity score matching estimation method, we find that participating firms showed higher productivity than non-participating ones in the control group only for the year of participation, that is, 2009. After two years, in 2011, they exhibited significantly lower productivity. In contrast, establishments that participated in public procurement for SMEs in 2009 were more likely to survive than those that did not do so in 2011. These results can be interpreted as the negative consequences of government intervention. The market's efficiency enhancement is hindered if underserving companies survive owing to government intervention but fail to improve efficiency.

• Journal of Korean Academy of Nursing
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• v.43 no.1
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• pp.20-29
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• 2013

Purpose: The purpose of this study was to propose and test a predictive model that could explain and predict nursing productivity. Methods: A survey using a structured questionnaire was conducted with 360 nurses in Korea. The data were analyzed using SPSS Windows 18.0 and AMOS 19.0 program. Results: Based on the constructed model, burnout and organizational commitment were found to have direct effects on nurses' turnover intention and nursing productivity. While nursing work environment was found to have indirect effects on nurses' turnover intention and nursing productivity. Conclusion: This structural equational model is a comprehensive theoretical model that explains the related factors and their relationship with nursing productivity. Comprehensive organizational interventions to improve nursing productivity should focus on improving the nursing work environment. Findings from this study can be used to design appropriate strategies to decrease nurse turnover in Korea. Further studies are needed to prospectively verify these causal relationships with larger samples.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.983-989
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• 2009

This study aims to systematically identify direct and indirect factors that influence labor productivity and to build a model that mathematically quantifies them so as to efficiently manage and increase labor productivity in the construction work. This study was performed based on the productivity model for workers in reinforced concrete construction projects, because it aims to establish a general construction labor productivity model that reflects many factors that influence labor productivity. Using statistical analysis, we found that the components that significantly influence productivity were the worker component, the work characteristic component, the work technique component, the work management component, the equipment & materials component, and the work guide component, while the work delay components did not significantly influence productivity. In addition, a priority analysis was performed based on the components that showed statistically significant effects. The results of the analysis indicated that the influence of work management component and the work technique component is more than that of the worker component and the work characteristic component. The construction labor productivity model that was formulated in this study could be used for the determining the standard productivity during the initial planning stage, so the best strategy for increasing labor productivity could be formulated.