• 사료
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• s.39
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• pp.52-59
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• 2009

사료의 품질향상과 안전성 제고를 통해 위생적이고 안전한 축산물을 소비자에게 공급하는데 기여하고자 매년 농림수산식품부에서 주최하는 '사료품질 및 위생 안전성 교육'이 금년에는 사료협회의 주관하에 지난 5월 14, 15일 양일간에 걸쳐 강원도 춘천 라데나 리조트에서 업계 관계자 150여명이 참석한 가운데 성황리에 개최되었다. 이날 세미나에서 본회 조남조 회장은 "세계 사료곡물가격과 환율이 고공행진을 하고 있는 상황에서 사료품질의 안전성이 그 어느때 보다도 중요시 되는 만큼 이번 교육은 시기적절하다"며 "이번 교육이 업계 실무자 여러분들에게 유익한 교육이 되길 바란다"고 강조했다. 이에 본지에서는 동 교육에 대한 결과보고와 아울러 교육당시 뜨거운 관심사였던 사료관리법 및 하위법령 개정사항, 사료내 항생제 사용제한에 따른 대처방안 및 사료공장 HACCP관리제도에 대한 강의내용을 요약하여 사료품질 및 안전성에 대한 독자들의 이해를 돕고자 한다.

• Economic Analysis
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• v.26 no.4
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• pp.98-136
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• 2020

We empirically investigate the determinants of a firm's exit from exporting, using Korean manufacturing firm-level data for the period from 2006 to 2014. Specifically, we estimate the effects of not only firm-level and industry-level characteristics, but also macroeconomic variables on the probability that a firm stops exporting by applying a Complementary Log-Log Model analysis. The results of our estimation suggest that firm-level heterogeneity, such as workforce size, capital intensity, intangible assets and foreign ownership, industry-level variation, such as the labor displacement rate, and macroeconomic variables, such as domestic demand and world demand, significantly affect the possibility of a firm ceasing exports. Also, we show that market interest rates increase the possibility of an export cessation and that the effects of market interest rates are more pronounced on firms with a higher debt ratio. In the primary exporting industries, the probability of a firm ceasing exports decreases as productivity at the firm rises.

• Korea Trade Review
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• v.48 no.4
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• pp.209-232
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• 2023

This study aims to estimate the export performance factors of Korean Steel Products to the EU and the expected changes in exports according to the CBAM(Carbon Border Adjustment Mechanism). the factors influencing the export performance of Korean Steel Products to the EU were analyzed using a Gravity Model, and the expected export amount in the case of a Carbon Tax was calculated assuming that the CBAM would be implemented in 2026, As a result, it was empirically analyzed that economic growth, population growth, exchange rate and manufacturing production index of each EU country have a positive effect on exports in Korea, and it was analyzed that the effects of the single market and system due to the EU's economic community were also helpful in increasing exports but the Carbon Tax is imposed in 2026, reducing Korea's steel exports by about -3.6% to -5.7%

• 한국벤처창업학회:학술대회논문집
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• 2023.11a
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• pp.91-96
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• 2023

글로벌로 핵심기술 경쟁 및 최상의 기술을 적용한 제품 제조를 실현해야 하는 ICT 분야의 수출 제조 중소기업은 내부, 외부적인 환경적 요인뿐 아니라 다양한 위기상황을 겪게 된다. 이러한 위기상황을 극복하고자 기업 자체적인 전략을 다방면으로 모색하고 실행하여 성공한 수출 제조 중소 벤처기업인 '(주)쎄믹스'가 있다. 2000년에 설립한 (주)쎄믹스는 반도체 검사장비 중 하나인 Wafer Prober 제조 전문기업으로, 'Simple Perfection'이라는 슬로건 아래 23년간 'OPUS' 및 'OPERA'를 생산, 판매에 전념하고 있는 글로벌 강소기업이며, 지속적인 핵심기술 연구개발을 통해 품질혁신에 성공하였고 글로벌 반도체 검사장비 시장에서 기술적 신뢰와 브랜드 명성을 인정받고 있는 벤처기업이다. 현재 (주)쎄믹스의 입지를 구축하기까지 수출 제조기업으로서 겪은 환율관리 실패인 키코손실에서 기인한 회사 위기를, 자체적으로 기술혁신, 조직혁신, 핵심인재 육성 등 전략적 기업혁신에 성공하여 회사의 존폐위기였던 상황을 극복하였다. 우선 키코손실을 떨쳐내고 새로이 시작하기 위한 S사와의 합병, 분할 후 조직 내부에 기업가정신을 고취하였고 핵심기술을 발굴하여 세계일류상품 인증, 월드클래스 300 선정 및 완수, 6개국에 7개의 자회사 설립 통한 조직혁신, 과감한 인재등용, 인재육성 위한 사내 컨퍼런스 제도 도입, TRIZ 등을 통한 과감한 교육혁신, 인재를 위한 특별한 복지정책 구현 등을 실천하였다. 본 연구는 '(주)쎄믹스'의 위기극복 사례를 통해 일본의 두 곳 대기업만이 누리고 있던 Wafer Prober 장비 시장에서 독자적인 글로벌 판로개척을 통한 자생적 성장시스템 구축과 창의적이고 자기 주도적인 혁신체제를 구축하는 계기를 제공하여 다양한 위기상황에 직면하였거나 위기를 미연에 방지하여야 할 중소기업인과 임직원들에게 성공 사례를 제공하고자 하였다.

• KDI Journal of Economic Policy
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• v.31 no.1
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• pp.169-206
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• 2009

This study stems from a question, "How should we understand the pattern of the Korean economy after the 1990s?" Among various analytic methods applicable, this study chooses a Structural Vector Autoregression (SVAR) with long-run restrictions, identifies diverse impacts that gave rise to the current status of the Korean economy, and differentiates relative contributions of those impacts. To that end, SVAR is applied to four economic models; Blanchard and Quah (1989)'s 2-variable model, its 3-variable extensions, and the two other New Keynesian type linear models modified from Stock and Watson (2002). Especially, the latter two models are devised to reflect the recent transitions in the determination of foreign exchange rate (from a fixed rate regime to a flexible rate one) as well as the monetary policy rule (from aggregate targeting to inflation targeting). When organizing the assumed results in the form of impulse response and forecasting error variance decomposition, two common denominators are found as follows. First, changes in the rate of economic growth are mainly attributable to the impact on productivity, and such trend has grown strong since the 2000s, which indicates that Korea's economic growth since the 2000s has been closely associated with its potential growth rate. Second, the magnitude or consistency of impact responses tends to have subsided since the 2000s. Given Korea's high dependence on trade, it is possible that low interest rates, low inflation, steady growth, and the economic emergence of China as a world player have helped secure capital and demand for export and import, which therefore might reduced the impact of each sector on overall economic status. Despite the fact that a diverse mixture of models and impacts has been used for analysis, always two common findings are observed in the result. Therefore, it can be concluded that the decreased rate of economic growth of Korea since 2000 appears to be on the same track as the decrease in Korea's potential growth rate. The contents of this paper are constructed as follows: The second section observes the recent trend of the economic development of Korea and related Korean articles, which might help in clearly defining the scope and analytic methodology of this study. The third section provides an analysis model to be used in this study, which is Structural VAR as mentioned above. Variables used, estimation equations, and identification conditions of impacts are explained. The fourth section reports estimation results derived by the previously introduced model, and the fifth section concludes.

• International Area Studies Review
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• v.15 no.1
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• pp.291-314
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• 2011

We examine the motives of foreigner's investments in the Korean bonds by maturity and try to prove that market impacts are different by their investment maturity. Foreign investors initially focused on short-term bonds, but have expanded to mid- to long-term bonds since 2010. The previous studies found that covered interest arbitrage was the main reason for foreign investment. However, there should be some other reasons as their investment in mid- to long-term bonds might have nothing to do with arbitrage. In the empirical analysis, we found that foreign investment in bonds with less than 2 year maturity is driven by arbitrage as previous studies. However, investment in bonds with 2-5 year maturity is sensitive to the FX volatility and the stock market performance compared with the U.S. and investment in bonds with more than 5 year maturity is driven by the CDS premium differential between Korea and PIIGS countries. The more foreigners have invested mid- to long-term bonds, the stronger downward pressure has been on the bond yields. In addition, foreign investors indirectly affected the spreads. Meanwhile, the government should prepare some policy measures since concerns over side effects such as the Korean won appreciation and an abrupt capital outflow are arising.

• KDI Journal of Economic Policy
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• v.33 no.1
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• pp.1-44
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• 2011

Terms of trade shocks have been considered one of the main driving forces causing business cycle fluctuations in small open economies. Despite their importance in business cycles of small open economies, it is hard to find a serious study in existing literature investigating their implications on monetary policy under a small open economy. Considering it, this paper studies what form of monetary policy rule is the most adequate for a small open economy where terms of trade shocks are dominant factors in generating its business cycle fluctuations. For this purpose, various implementable monetary policy rules frequently analyzed in existing literature are compared in terms of social welfare levels which they can provide for the economy respectively. Main results of this paper can be summarized as follows. First, for a small open economy where terms of trade shocks are main driving forces of its business cycle fluctuations, the nontradable goods price inflation targeting can provide higher level of social welfare than other traditional monetary policy rules such as the CPI inflation targeting or the fixed exchange rate regime. Second, the social welfare improvement of the non-tradable goods price inflation targeting is more apparent when export goods price shocks are more important than import goods price shocks.

• Journal of Korea Port Economic Association
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• v.26 no.4
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• pp.207-218
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• 2010

The purpose of the study is to predict the shipping business during the period of 2011 using the ARIMA-type models. This include the ARIMA and Intervention-ARIMA models. The multivariate cause-effect econometric model is not employed for not assuring a higher degree of forecasting accuracy than the univariate variable model. Such a cause-effect econometric model also fails in adjusting itself for the post-sample. This article introduces the four ARIMA models and six Intervention-ARIMA models. The monthly data cover the period January 2000 through October 2010. The out-of-sample forecasting performance is compared between the ARIMA-type models and the random walk model. Forecasting performance is measured by three summary statistics: root mean squared percent error, mean absolute percent error and mean percent error. The root mean squared percent errors of all the ARIMA-type models are somewhat higher than normally expected. Furthermore, the random walk model outperforms all the ARIMA-type models. This reveals that the BDI is just a random walk phenomenon and it's meaningless to predict the BDI using various econometric techniques. The ARIMA-type models show that the shipping market is expected to be bearish in 2011. These pessimistic ex-ante forecasts are supported by the Hodrick-Prescott filtering technique.

• Journal of Korea Port Economic Association
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• v.31 no.2
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• pp.23-40
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• 2015

This study measures how Korean shipping policies influence the expansion of the country's merchant fleet using system dynamics. It uses various indexes as factors influencing the gross tonnage of the Korean merchant fleet, such as the Baltic Dry Index, Howe Robinson Container Index, China Containerized Freight Index, and Worldscale Index, as well as the US dollar-Korean won exchange rate, world merchant fleet statistics, and the debt ratio of Korean shipping companies. After establishing the simulation model, the mean absolute percentage error is found to be less than 10%, confirming the accuracy of the model. Therefore, a sensitivity analysis is conducted to measure the influence of the selected shipping policies, including the gross tonnage of vessels registered under the Korean second registry system, loans of publicly owned financial institutions to shipping companies, ship investment fund, and the number of shipping companies participating in the tonnage tax scheme. The sensitivity analysis reveals that the influence of vessel tonnage and loans to shipping companies is the most significant, while that of the number of companies participating in the tonnage tax scheme is minimal.

• Environmental and Resource Economics Review
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• v.27 no.4
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• pp.667-694
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• 2018

We analyze the learning-by-doing effects of the allowance pricing system on the Korea's emission trading scheme. The price of allowance (Korean Allowance Unit) is influenced differently by internal market factors and economic conditions variables in the first (January 2015 to June 2016 ) and the second commitment year(January 2016 to June 2017). The prices and transaction volumes of complementary credits (KCU and KOC) as well as economic conditions variables (such as call rate, exchange rate, stock price) are statistically significant only for the second commitment year. Thus, the learning-by-doing effect makes the market participation decision on K-ETS market more efficient in the second commitment year, adopting the previous experience and knowledge in the K-ETS market. The factors estimated significantly in both commitment periods include the institutional binary variable for requiring the submission of the emissions verification reports issued both on February and March.