• Proceedings of the Technology Innovation Conference
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• 2009.02a
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• pp.333-353
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• 2009

본 연구에서는 기술표준원이 (주)코리아데이터네트워크에 의뢰하여 작성된 설문조사결과를 활용하여 기업의 표준화활동 결정요인을 분석하였다. 표준화활동을 유형(혹은 범주)에 따라 기업의 전사적 표준경영, 국내표준화활동, 국제표준화활동, 인증획득 등으로 구분하였고, 그 결정요인으로 기술혁신활동(R&D와 특허출원), 기업규모, 수출, 네트워크, 기업조직특성, 산업별 특성 등을 고려하였다. 분석된 표본은 제조업에 속한 636개 기업으로 정성적 분석방법인 로지스틱 회귀모형 (logistic regression)을 사용하였다. 분석결과, 첫째 기술혁신활동 변수 중 R&D집약도는 국제표준화활동을 제외하고 표준화활동에 영향을 미치지 않는 것으로 나타났다. 둘째, 특허출원은 전사적 차원에서의 표준경영과 인증획득활동에 대해 정 (+)의 유의한 효과를 보여 주었다. 셋째, 소기업과 대기업보다는 중간규모의 기업에서 전사적 차원에서의 표준경영과 인증획득활동이 활발하다는 역U자 가설이 성립하는 것으로 분석되었다. 넷째, 표준화에 대한 경영진의 관심은 모든 표준화활동의 유형에 대해서 중요한 결정요인으로 나타났다.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.65
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• pp.161-179
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• 2015

The main objective of this study is to examine the mediating effect of 'international entrepreneurship' on the relationship between the determinants related to export and export performance. Data was collected from a survey of 200 exporting firms in Gwangju, Korea. The results of the study are as follows ; First, 'international entrepreneurship' are produced a mediating effect when the determinants affect export performance. Second, Resource-based factors and Industry organization factors have a positive impacts on export performance. However, relationship factor as a determinant does not have statistically significant correlation to export performance. Accordingly, in orer to enhance export performance, exporting firms in Korea should try more to prepare for resource-based factors and industry organization factors as determinants. In addition to these, if CEOs of exporting firms are equipped with international entrepreneurship spirits, they can increase the performance of their exporting firms. So they have to manage their exporting firms very strategically so that they can make their firms' export performance better and better.

• International Area Studies Review
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• v.20 no.2
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• pp.63-83
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• 2016

This paper examines the determinants of efficiency in a KOSDAQ-listed manufacturing firm. We use Data Envelopment Analysis (DEA) to estimate the efficiency of the export manufacturing firm. We employ two inputs (number of employees, equity) and one output (sales) in the DEA. The determinants of export manufacturing firm efficiency are estimated using the panel Tobit model. An analysis of 369 export manufacturing firms from 2013 to 2015 indicates the following results: First, the R&D intensity, the wage and salary intensity, total asset, and equity ratio each had a negative impact on both the CCR and BCC efficiency scores. However, export intensity had a negative impact on CCR efficiency scores in a KOSDAQ-listed total export manufacturing firm. Second, the R&D intensity had a positive impact on both the CCR and BCC efficiency scores, but export intensity, the wage and salary intensity, and equity ratio each had a negative impact on the CCR and BCC efficiency scores in a KOSDAQ-listed large export manufacturing firm. Third, the R&D intensity, the wage and salary intensity, total asset, and equity ratio each had a negative impact on both the CCR and BCC efficiency scores; respectively, in a KOSDAQ-listed small and medium export manufacturing firm.

• Proceedings of the Technology Innovation Conference
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• 2005.02a
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• pp.22-41
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• 2005

본 연구에서는 기업의 기술혁신활동 결정요인을 과학기술정책연구원이 발표한 KIS(Korean Innovation Survey) 2002를 활용하여 분석하였다. 특히 혁신활동에 있어서 기업규모와 네트워크의 역할에 초점을 맞추었다. 기술혁신활동을 제품혁신, 제품개선, 그리고 공정혁신으로 구분하였으며, 기술혁신활동의 결정요인으로 이윤율, 수출비율, 해외지분, 기업연령, 시장집중도, R&D활동 착수여부, 그리고 산업별 R&D집약도 등이 추가로 고려되었다. 분석된 표본은 제조업에 속한 1,124개 기업으로 정성적 분석방법인 로지스틱 회귀모형(logistic regression)을 사용하였다. 분석결과, 첫째 기업의 기술혁신활동 결정요인은 혁신유형에 따라서 다르게 분석되었다. 예를 들어, 기업규모와 기술혁신활동에 관한 슘페터 가설은 제품혁신에서는 성립하지 않는 것으로 나타났으나. 제품개선 및 공정혁신에 대해서는 성립하는 것으로 분석되었다. 둘째, 예측한 대로 소기업과 대기업간 기술혁신활동의 결정요인에 있어서 많은 차이점이 발견되었고, 이러한 차이는 제품혁신과 공정혁신에서 현격하게 나타났다. 셋째, 기업규모 및 혁신유형에 관계없이 외부적 네트워크는 기술혁신활동에 대해 정(正)(+)의 유의한 효과를 나타내어, 혁신활동에서 협력의 중요성을 확인해 주었다. 그러나 협력대상별 네트워크효과는 기업규모와 혁신유형에 따라서 많은 차이점을 보여주었다.

• The Korean Journal of Financial Management
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• v.21 no.2
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• pp.65-98
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• 2004

This paper analyzes the foreign exchange exposure and the influence of determinants on the significant exposure under various return horizons of US dollar and the Japanese yen. Also this research is extended to the existence of asymmetric exposures to foreign exchange risk. The exchange rate exposures exhibit significant time variations that are very large to represent changes in cash flow sensitivities, but the relation of the significant exposures and time variations is not monotonically increasing. The extent to which a firm is exposed to exchange rate fluctuations can be explained by the level of the growth potential, nm size and leverage. For the various return horizons, firms with a higher growth potential tend to have higher exposures. And the larger firms' exposures tend to be smaller. The influences of the level of export ratio and leverage vary with return horizons and each periods. It is found that the exposures of fins are asymmetric. The asymmetry is mainly explained by the market share hypothesis. The level of export ratio commonly influences the asymmetric exposures to the US dollar and the Japanese yen.

• The Southeast Asian review
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• v.27 no.4
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• pp.41-76
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• 2017

This paper analyses the market shares and the export similarity indexes (ESI) of Korea, Japan and China in ASEAN, and then identifies the determinants of Korea's exports to ASEAN countries using single equation cointegration approaches, such as fully modified OLS (FMOLS), dynamic OLS (DOLS), and canonical cointegration regression (CCR). Various regression results are as follows: As expected, Korea's real exports tend to increase as importing country's GDP grows. The competing third country's currency depreciation affects Korea's exports differently from country to country. Most notably, it doesn't significantly affect Korean exports in Malaysia, Indonesia and Thailand. These results suggest that bilateral or third country exchange rates are not that important or decisive factors to determine Korea's exports to ASEAN countries in the long-run while economic growth in ASEAN countries matters most.

• Journal of Korean Society of Forest Science
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• v.90 no.3
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• pp.355-362
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• 2001

This study was conducted to propose the way to develop and strengthen competitiveness of the Korean paper industry by analysing current competitiveness and the factors which determine and influence it. Delphi method was employed to identify determining factors of international competitiveness of Korean paper industry and evaluate the level of competitiveness. The competitiveness both in the domestic and foreign markets was evaluated by analysing each product market faced by the Korean paper industry in light of each of the determining factors. Based on the Delphi survey results, in order of importance, product quality, manufacturing cost, transportation and storage, timely delivery, supply of raw materials, and marketing were identified as the factors determining international competitiveness. Among them, it was revealed that Korean paper industry has a certain level of competitiveness in the factors such as product quality and timely delivery service while supply of raw materials and manufacturing costs were found to be inferior to overseas manufacturers in both domestic and foreign markets.

• International Commerce and Information Review
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• v.14 no.3
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• pp.307-322
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• 2012

The purpose of this paper is to examine determinants of export to the East Asia region, using panel unit root, panel cointegration framework, panel VECM (vector error correction model), panel FMOLS (fully modified OLS). Different panel unit root tests confirm that the data series are integrated processes with unit roots. When applying cointegration tests to long-run effect for aggregate panel data, a primary concern is to construct the estimators in a way that does not constrain the transitional dynamics to be similar among different countries of the panel. The regression equations are estimated by various panel cointegration estimators. The panel data causality results reveal that exchange rates has unidirectional effects on export and GDP, and there exists bidirectional causality between export and GDP. Also, the results from the panel FMOLS tests overwhelmingly reject the null hypothesis of zero coefficient. The panel cointegrating vectors show that the export has positive relationship with the GDP and ODI (overseas direct investment).

• Management & Information Systems Review
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• v.37 no.2
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• pp.87-108
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• 2018

This article explores the international trade flow of Bangladesh's ready-made garments (RMG). We first suggest the brief history and an international structure of trade among countries by using the trade volume. Then we implemented a gravity model regression with the sample of 38 major partner countries in order to investigate the potential export market for the RMG industry. The fixed effect and random effect model for the panel data during the period of 1990 to 2011 are estimated. Our result shows that Bangladesh's RMG exports are affected positively by the size of economy, inflation, exchange rate, foreign direct investment(FDI) and trade openness. On the other hand, the distance between trading partners are related negatively with the trade volume. We used the estimated coefficients from the panel regression in order to predict RMG export potential of Bangladesh. This might show which country is the promising export market for Bangladesh RMG industry. We found that Bangladesh has the highest potential of RMG export with Japan and USA, which seem to have considerable room for export growth if trade barriers and constraints are removed. We added some policy implications for encouraging the RMG export of Bangladesh by using the results from the analysis.

• The Korean Journal of Financial Management
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• v.8 no.2
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• pp.111-129
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• 1991

본 논문에서는 재정가격결정모형(裁定價格決定模型)(Arbitrage Pricing Model)을 기초로 우리나라 주식시장에 영향을 주는 거시경제변수가 무엇인가를 찾고자 하였다. 방법론면에서는 과거변수(過去變數)(lagged variables)에 의해서만 기대치를 형성시키는 AIRMA(Autoregressike Integrated with Moving Average) 방법을 이용하기보다는 마코프속성(屬性)(Markov Property)을 갖는 상태공간모형(狀態空間模型) (State Space Model)을 이용하여 보다 합리적인 거시경제 요인의 이노베이션을 하였다. 또한 단순한 요인분석(要因分析)(factor analysis)에 의한 요인추출은 요인의 표본의존성(標本依存性)(Sample dependency)이 심하므로 그룹간 요인분석(inter-battery factor analysis)을 행하여 추정(推定)된 요인(要因)(요인값 : factor score)과 요인수를 결정하여 관련 거시경제변수를 선택한다. 그룹간 요인분석을 위한 그룹을 형성할 때 그룹내에서는 동질성을 그룹간에는 이질성을 최대한 살리는 것이 필요한데, 이를 위해 군집분석(群集分析)(Cluster Analysis)을 사용한 것이 특징이다. 결론적으로 우리나라 주식시장에 영향을 미치는 거시경제요인(巨視經濟要因)으로 단위노동비율, 제조업제품재고지수, 채권프리미엄, 수출물가지수, 정부부문 통화공급, 회사채수익률, 종합주가지수 등 7가지가 있는 것으로 분석되고 있다.