• Ocean and Polar Research
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• v.32 no.4
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• pp.387-396
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• 2010

This paper estimates changes in the total factor productivity and technical efficiency change index and the technical change index using the Malmquist productivity index (MPI) in fishery-processed wholesale products over the time period spanning 2006-2008. The model considers a number of employees and operating costs as input factors, and sales and EBIT (earnings before tax and interest) as output factors. The results demonstrate that, between 2006 and 2007, there has generally been no technical progress, although a small improvement in productivity was detected in the sales scale of 10 billion won-50 billion won. Between 2007 and 2008, there was technical progress in the majority of DMU, except within the range of 20 million won-10 billion won. Wilcoxon's rank-sum test, however, demonstrates no statistically significant differences in productivity between the two periods.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.411-417
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• 2021

This study aims to estimate the production function and total factor productivity (TFP) of Vietnamese seafood processing firms. At the same time, the study analyses the impact of internal factors of firms and the quality of economic institutions on the TFP of the Vietnamese seafood processing industry. The study uses the Function Control (FC) approach in TFP estimation and the Feasible Generalized Least Squares (FGLS) regression model in the analysis of factors affecting TFP. The study was carried out on the census data of enterprises of the Vietnamese seafood processing industry collected by the Vietnamese General Statistics Office and Provincial Competitiveness Index data of Vietnam Chamber of Commerce and Industry in the period from 2013 to 2018. Estimated results from the models show that: i) Vietnamese seafood processing firms are, currently, mainly labor-intensive, the TFP contribution and output is only about 2.258. ii) Factors such as the firm's age, firm's size, and the firm's ownership affect TFP. In which, firms that have few numbers of years of operation, small and medium firms, and private firms have low TFP. iii) Institutional quality and the provincial business environment have a positive impact on the TFP of Vietnamese seafood processing firms in this period.

• Journal of Construction Engineering and Project Management
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• v.3 no.2
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• pp.58-65
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• 2013

Earthwork activities are typically performed by heavy duty diesel (HDD) construction equipment that consumes large quantities of diesel fuel use and emits large quantities of pollutants, including nitrogen oxides (NOx), particulate matters (PM), hydrocarbon (HC), carbon monoxide (CO), and carbon dioxide ($CO_2$). This paper presents the framework for a model that can be used to estimate the production rate, activity duration, total fuel use, and total pollutants emissions for earthwork activities. A case study and sensitivity analysis for an excavator performing excavations are presented. The tool is developed by combining the multiple linear regressions (MLR) approach for modeling the productivity with the EPA's NONROAD model. The excavator data from RSMeans Heavy Construction Data were selected to build the productivity model, and emission factors of all type of pollutants from NONROAD model were used to estimate the total fuel use and emissions. The MLR model for the productivity rate can explain 92% of the variability in the data. Based on the model, the fuel use and emissions of excavator increase as the trench depth increase, but as the bucket size increase, the fuel use and emissions decrease.

• International Area Studies Review
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• v.12 no.2
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• pp.99-123
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• 2008

In this paper, technology gap between Korea's manufacturing industries compared to technology frontier countries was estimated in order to take into account Korea's status as a technology follower country. Then by using this measure the role of technology gap was investigated in explaining total factor productivity growth of the Korean manufacturing at industry level. The main empirical findings are as follows: First, the conventional factors that were emphasized in the previous literature such as R&D intensity, trade openness and human capital play important role in explaining the growth rate of Korea's total factor productivity. Second, the larger the technology gap between Korea and technology leader country (and the faster the technology growth rate in the leader country), the higher the growth rate of total factor productivity in Korea as well. Third when the technology gap is large, the most efficient way of absorbing higher technology from frontier country seems to be the international trade channel rather than R&D or human capital accumulation.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.05a
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• pp.42-43
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• 2014

Few studies on crew productivity has been conducted, although the data is significant for time and cost estimation. Crew productivity data was collected for over 9 months from a nuclear power plant and analysed in order to identify factors driving the productivity. It was revealed that the crew productivity of form work, rebar work and concrete pouring work was 45.64(㎡/crew·day), 2.93(t/crew·day), 110.25(㎡/crew·day) on average respectively. Moreover, 'nightwork', 'No. of workers per crew' and 'total work amount' were identified as drivers.

• Korean Journal of Construction Engineering and Management
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• v.18 no.1
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• pp.17-26
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• 2017

The total amount of overseas plant orders obtained by Korean construction companies in 2015 decreased by approximately 51% from the previous year. While a chemical plant sector has the highest portion of the plant orders by accounting for 63% of the plant industry, its orders also decreased by approximately 43% in the same year. Recently, plant construction companies in overseas projects have been dominating the engineering sector owing to their advanced technology, experience, and accumulated knowledge. Therefore, measures must be taken to secure the competitiveness of domestic companies in the global plant industry. Especially, productivity management is an important issue to strengthen the national competitiveness with the development of construction technology. As the productivity influences long term growth, we analyze productivity obstacle factors by using the revised IPA, a technique to measure attribute importance and performance. With the identified factors, we suggest improvement plans and measures to enhance productivity of overseas chemical plant projects. This study will help the companies to come up with medium and long term measures by discussing results and implications it provides.

• Journal of Information Technology Services
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• v.23 no.2
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• pp.31-47
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• 2024

With the spread of COVID-19, non-face-to-face social exchanges around the world have increased, leading to a rise in the demand for telework. The recent advancement in technology has facilitated the emergence of metaverse platforms, with telework utilizing the metaverse gaining significant popularity. Such metaverse telework is signaling innovative changes in the business environment, yet sufficient research has not been conducted. This study analyzed the factors affecting the perceived work productivity, job performance, and job satisfaction of metaverse telework users. To achieve this, an online survey was conducted, focusing on individual factors (self-management tactics, sense of belonging, social presence, IT complexity) and situational factors (perceived workload, organizational support, metaverse telework environment, and flexible work arrangements). Out of the total responses, 358 valid questionnaires were used for the analysis, excluding any insincere responses. The SPSS 27.0 software was employed to verify the research hypotheses. This study proposed effective strategies to enhance the efficiency of telework within the metaverse.

• Environmental and Resource Economics Review
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• v.25 no.2
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• pp.277-297
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• 2016

This study is to analyze the effects of changing pattern of climate vaariables on total factor productivity of Korea manufacture industry. Changes in temperature, rainfalls and humidity which are the representative climate variables are used as main factors. Not only average values of the variables but those highest values are used as independent variables in the model, in order to consider the characteristic pattern of recent climate change, the high volatilities. The OLS results are unlike to previous literature that temperature and humidity had no significant impact on manufacturing productivity. An increase in the amount of precipitation was analyzed that impact negatively impacted. The analysis of panel data showed that temperatures and precipitation all that does not significantly affect the manufacturing. While the increase of the average humidity is shown to increase the total productivity of manufacture industry. In Korea, adaptation capability is important in determining the effects of climate change on productivity of manufacture industry.

• Environmental and Resource Economics Review
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• v.23 no.4
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• pp.667-688
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• 2014

This research tested the EKC (Environment Kuznets Curve) Hypothesis using the $CO_2$ Emissions by region and GRDP. We built the panel data set on the 15 local government region from 1990 to 2010 for this analysis. GRDP, population and total factor productivity was considered as the factors influencing on the regional $CO_2$ Emissions. Analysis method in this research is panel GLS model as Lantz and Feng (2006). The results show that the EKC hypothesis did not hold in Korea but there is inverted U relationship between the $CO_2$ Emissions and total factor productivity. As the total factor productivity grows, the $CO_2$ increased but decreased after a certain level.

• Korean journal of food and cookery science
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• v.14 no.1
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• pp.76-83
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• 1998

The purpose of this study was to evaluate the foodservice management practices and productivity in elementary schools in order to provide basic information for an efficient food service management. This approach was achieved using a variety quantitative and qualitative information including general foodservice management, managerial and operational factors, and the productivity in elementary school foodservice systems. The labor productivity in 28 school foodservice system was assessed and related to a number of influencing variables within the system. The productivity measurement was based upon the total meal equivalents as a ratio of the total direct and non-direct labor hours required to prepare these meals. Twenty-eight elementary schools located in Seoul and Kangnung were surveyed to get data for the variables. Questionnaire and a survey form were mailed. Statistical methods used in this study were descriptive analysis, $\chi$$^2$-test, 1-test and one-way ANOVA analysis. Elementary schools in Seoul were all located in urban areas, whereas elementary schools in Kangnung were in urban areas (40.0%), provincial areas (40.0%) and in isolated areas (20.0%). Total average number of meals including children and staff was 928.2${\pm}$ 650.0 with a yery significant difference (p<0.001) between Seoul and Kangnung. The average cost of school meal in Seoul and Kangnung were 1191.0 won and 1526.2 won, respectively. The result of Pearson Correlation analysis indicated that labor cost per meal, 1-week meal equivalents and meal equivalents per labor were significantly correlated with the productivity.