• Environmental and Resource Economics Review
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• v.22 no.4
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• pp.785-815
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• 2013

This paper analyzes the three issues related to the effect of environmental regulations on the Korean trades with gravity equation model: the effect on the Korean exports, the bilateral trade flows between the Korea and the trade partners, and the Korean international competitiveness. For all three issues we carried the empirical tests with fixed effect estimation methods for total industries, non-pollution industries, pollution industries, and also 16 individual pollution industries. We use industry panel data for the 120 largest trading countries with Korea for the years 2000-2010. The Environmental Performance Index (EPI) is used as the proxy variable for the environmental regulation. The empirical result shows that while GDPs of both Korea and its trading partners are very important factors affecting positively the Korean trades for all industries, the environmental regulation of the importing country would be a definite trade barrier to the Korean pollution industries, but not a definite one for the non-pollution industries. In addition, the stricter environmental regulations of Korea's trade partners would weaken the Korean international competitiveness of Korean pollution industries. In this regard, the Porter Hypothesis would have not appeared in the Korean trades of pollution industries during the period observed in this study.

• The Korean Journal of Financial Management
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• v.25 no.4
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• pp.117-144
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• 2008

This article examines the information transmission process between the KOSPI 200 futures market and its underlying stock market, using the 10-second quote and trade data. The VAR analysis reveals that quote revisions through limit orders in general lead trades through market orders. In addition, the VAR analysis shows that the futures market tends to lead the stock market in terms of quote revisions and trades, even though the other direction is also observable. Even when we focus on the events causing large movements in quote revisions and trades, those lead and lag relations between those markets and between quote revisions and order imbalances are confirmed.

• Journal of the Korean Society of Safety
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• v.16 no.2
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• pp.85-90
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• 2001

In construction industries, the problem areas in safety are different to those of manufacturing. For instance, construction safety efforts must strongly emphasize fall prevention, whereas caught-in/ between incidents and electrical shocks are common in manufacturing. This paper reports an analysis of fall incidents that lead to fatalities in 1999 and in 2000. It also provides a safety plan for fall prevention by analyzing the origins of fall incidents by their trades and locations of concern. The findings of this study are expected to contribute toward reducing fall incidents in construction industry.

• Journal of Distribution Science
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• v.14 no.11
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• pp.83-90
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• 2016

Purpose - During the last two years, convenient stores (CS) are emerging as one of the most fast-growing retail trades in Korea. The goal of this work is to forecast and to analyze sales at CS using ARIMA-Intervention model (IM) and exponential smoothing method (ESM), together with sales at supermarkets in South Korea. Considering that two retail trades above are homogeneous and comparable in size and purchasing items on off-line distribution channel, individual behavior and characteristic can be detected and also relative superiority of future growth can be forecasted. In particular, the rapid growth of sales at CS is regarded as an everlasting external event, or step intervention, so that IM with season variation can be examined. At the same time, Winters ESM can be investigated as an alternative to seasonal ARIMA-IM, on the assumption that the underlying series shows exponentially decreasing weights over time. In case of sales at supermarkets, the marked intervention could not be found over the underlying periods, so that only Winters ESM is considered. Research Design, Data, and Methodology - The dataset of this research is obtained from Korean Statistical Information Service (1/2010~7/2016) and Survey of Service Trend of Korea Statistics Administration. This work is exploited time series analyses such as IM, ESM and model-fitting statistics by using TSPLOT, TSMODEL, EXSMOOTH, ARIMA and MODELFIT procedures in SPSS 23.0. Results - By applying seasonal ARIMA-Intervention model to sales at CS, the steep and persisting increase can be expected over the next one year. On the other hand, we expect the rate of sales growth of supermarkets to be lagging and tied up constantly in the next 2016 year. Conclusions - Based on 2017 one-year sales forecasts for CS and supermarkets, we can yield the useful information for the development of CS and also for all retail trades. Future study is needed to analyze sales of popular items individually such as tobacco, banana milk, soju and so on and to get segmented results. Furthermore, we can expand sales forecasts to other retail trades such as department stores, hypermarkets, non-store retailing, so that comprehensive diagnostics can be delivered in the future.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.587-590
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• 2008

Typically, General contractor in the construction industry can not plan their own of the amount of orders received, and because of the size of wide fluctuations in the amount of annual orders received for equipment or personnel to full-time employment has limits. Therefore, with a vertical division of labor between specialist trades which distributed the risk and the intention to improve the efficiency of production will be. For this reason, the production structure of the general subcontracting relationships are formed. In this way, Depending on the structure of production outsourced management of the project is the impact on the successful completion. Nevertheless, most construction companies do not achieve effective an organized cooperation until now. This study is to understand the actual conditions an organized cooperation between general contractor and specialist trades, and is look at ways to improve with find the complement. This paper is a preliminary study of the leading research based on the present condition of the cooperating companies considered to be the cause. A result of Analysis, the actual conditions in cooperation of the construction industry is staying in an external form of organizational cooperation And were not effective utilization of the organization for the cooperation a production. Specialist trades have had to register as partners for the amount of orders received, the level of practical cooperation was almost no activity to improve a production. in each step an organized cooperation in the construction industry, to improve productivity construction and to create of economic value for the cooperation of production is required.

• Journal of the Korean Institute of Navigation
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• v.23 no.1
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• pp.85-97
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• 1999

Vessels chartering has contributed to developing Korean shipping industry over the past three decades. Vessels chartered by shipping companies have been employed in cross trades as well as in the Korean foreign trade to achieve their business strategy. Meanwhile, some problems such as speculation, sales-oriented expansion with poor margin, poor forecasting capacity, over excessive competition in cross trades among Korean owners, and lack of speciality in decision-making, have played adverse roles in promoting chartering business in Korea. There(ore, this paper aims to discuss motives for vessel chartering business and its significance in the Korean shipping industry and to identify problems in the business.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.4
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• pp.117-129
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• 2023

Organizations must seek change in order to adapt to environmental changes and achieve better performance. However, despite this obvious statement, empirical analysis has been almost non-existent due to the difficulty of manipulating organizational performance or change. In this study, we overcame these limitations and analyzed the causes and effects of organizational change by assuming a professional sports team as a venture company, which is relatively easy to objectively measure and evaluate organizational change or performance. We systematically collected and preprocessed traditional and advanced metrics of National Basketball Association (NBA) statistics along with preprocessed trade data from eight years of regular seasons (2014~2015-2021~2022) to analyze our research model. Assessment of process macro model 7 derives the following empirical result. The results of the empirical analysis depict that NBA teams with low organizational performance in the previous season are more likely to make organizational changes through player trades to improve performance. Into the bargain player trades mediate the static relationship between the winning percentage in the previous season and the winning percentage in the current season. However, the indirect effect of a team's previous season's performance on player trades appears to vary depending on the current situations and context of each NBA team. Teams that made the playoffs in the previous season tend to make fewer trades than teams that did not and the previous season's performance is highly correlated with the current season's performance. On the other hand, teams that did not make the playoffs in the previous season tend to make a relatively larger amount of player trades in total, and the mediating effect of trades vanishes in this case. In other words, teams that did not make the playoffs in the previous season experience a larger change in performance due to trades than teams that made the playoffs, even if they achieved the same winning percentage. This empirical analysis of the inverse relationship between organizational change and the performance of professional sports teams has both theoretical and practical implications in the field of sports industry and management by analyzing the fundamentals of organizational change and the performance of professional sports teams.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.20
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• pp.423-440
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• 2003

The trial business of e-trade service providers for supporting small enterprises to find their markets abroad is about to begin from the end of March, 2003. The department of Industrial Resources held the "Committee of e-trade service provider selection" with professors of e-trade field, and selected three companies: ECplaza, EC21 and Tpage Global. The e-trade service providers combine the various technologies of on-line trades and off-line trades to support small enterprises with lack of marketing skills by intermediation of overseas buyers and production, registration of e-catalogs and offers, administration of inquiries, trade negotiations, and contract settlement. Prospective small enterprises with exports under US$ 5 million will be selected by 2005. The selected companies will be supported fully by the government, and will be provided with the services by the e-trade service providers. e-Trade service will be the most potential and successful ones in the future, which helps traders and organizations preparing for globalization.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.33 no.3
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• pp.308-316
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• 2023

Objectives: The aim of this study is to measure and assess the occupational noise exposure levels among construction workers at apartment building construction sites in South Korea. Methods: Noise exposure assessments were conducted for 139 construction workers across 10 different trades at 53 apartment building construction sites in the northern part of Gyeonggi-do. Assessments were carried out using a noise dosimeter set with a 90 dB criterion, an 80 dB threshold, and a 5 dB exchange rate over a period of more than 6 hours(L_MOEL) Results: The mean L_MOEL (equivalent continuous noise level over 8 hours) for the 139 dosimeter samples was 87.8 ± 4.3 dBA. The mean noise exposure level for each construction trade, referred to as the trade mean, was also calculated. Significant differences in noise exposure levels were observed between construction trades (ANOVA, p < 0.001). The highest L_MOEL values were recorded for concrete chippers (93.2 ± 2.6 dBA), followed by ironworkers (88.4 ± 0.7 dBA), concrete finishers (88.3 ± 2.7 dBA), masonry workers (87.7 ± 1.9 dBA), pile driver operators (85.6 ± 1.7 dBA), concrete carpenters (84.9 ± 2.4 dBA), interior carpenters (83.5 ± 2.1 dBA), and other groups (81.4 ± 2.2 dBA). Conclusions: The findings suggest that nearly all construction workers in this study are at risk of Noise-Induced Hearing Loss (NIHL). Moreover, the study establishes that construction trades can serve as a useful metric for assessing noise exposure levels at apartment construction sites.

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.96-96
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• 2017