• 아태비즈니스연구
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• 제13권2호
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• pp.183-195
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• 2022

Purpose - The study attempted to analyze how the U.S.-China trade dispute affects a highly trade-dependent South Korea. Currently, major domestic and international institutions have issued a number of conflicting predictions that the trade dispute between China and the United States will have a positive and negative impact on South Korea. Accordingly, the present study attempted to analyze using actual data. Design/methodology/approach - The analysis was conducted using actual import and export data from the United States and China and actual import and export data from the United States and China from South Korea. The analysis measured the number and amount of imports and exports by year and month, and the rate of increase and decrease. We also looked at trade dispute days, import and export outcomes and what the impact was. In addition, as a result of the US-China trade dispute, the amount of change in Korea's imports and exports was analyzed. Findings - Empirical analysis shows that South Korea's exports to the United States and China have increased. The analysis results are as follows. First, exports to the United States increased by 5.65% in 2018 and 6.45% in 2019 compared to 2017. Second, exports to China surged 12.34% in 2018 compared to 2017. This increase in South Korea's exports to the United States and its mass exports to the United States shows that South Korea has benefited from the trade dispute between the United States and China. Research implications or Originality - South Korea, which is highly trade-dependent, has been heavily affected by the U.S.-China trade dispute. Various predictions are made about this. The analysis showed that South Korea's export volume has increased. In the end, the effect of the trade transition to the 3rd country did not occur. Rather, the U.S.-China trade dispute appears to have helped South Korea.

• 한국산학기술학회논문지
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• 제17권1호
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• pp.340-348
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• 2016

본 연구에서는 선행연구의 검토를 통해 첫째, 수입대행쇼핑몰에서 취급하는 제품에 대한 태도와 구매의도에 영향을 미칠 수 있는 특성 변수(제품 특성, 소비자 특성)를 도출하여 영향관계를 파악하였으며 둘째, 지각된 위험을 조절변수로 투입하여 제품에 대한 태도와 구매의도와의 관계에서 조절역할을 규명하였다. 셋째, 이상의 연구결과가 의미하는 시사점을 근거로 수입대행쇼핑몰 운영에 영향을 미칠 수 있는 특성변수를 효율적으로 관리할 수 있는 기초자료를 제공하고자 하였다. 설문조사를 통해 수집한 126개의 유효응답 자료를 SPSS 23.0통계패키지를 이용하여 실증분석 하였으며, 분석결과를 요약하면 다음과 같다. 첫째, 수입대행쇼핑몰에서 취급하는 제품에 대한 태도에 영향을 미치는 요인은 국가 이미지와 소비자의 혁신성향, 가격지각이었으며, 브랜드 이미지는 유의하지 않았다. 둘째, 수입대행쇼핑몰에서 취급하는 제품에 대한 태도는 구매의도에 유의한 영향을 미쳤으며, 셋째 지각된 위험(경제적 위험, 제품성능 위험, 프라이버시 위험)은 제품에 대한 태도와 구매의도와의 관계에서 부분적으로 조절변수 역할을 한다는 것을 확인하였다.

• Journal of Korea Trade
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• 제26권4호
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• pp.1-22
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• 2022

Purpose - This paper empirically investigates the effect of a rise in the global value chain (GVC) on the industry-level efficiency of resource allocation (based on plant-level inefficiency measures) in Korea, with a focus on various channels through which a rise in the GVC can increase competition among firms and thus induce resources to be allocated more efficiently across firms. Design/methodology - We empirically investigate the relationship between the industry-specific importance of GVC and the industry-level allocative inefficiency that is measured as the dispersion of the plant-level marginal revenue of capital (MRK) as in Hsieh and Klenow's (2009) influential model. We compute MRK dispersion for industries sorted by various characteristics that are closely related to firm/industry sensitivity to the GVC. In other words, we compute the average industry-level MRK dispersion for industries sorted by industry-specific importance of GVC and compute the difference between the two groups of industries (higher vs. lower than the median GVC); we also calculate the difference between industries sorted by industry-specific export (import) intensity. This is our difference-in-difference estimate of the MRK dispersion associated with the GVC for the export (import)-intensive industry versus the non-export (non-import)-intensive industry. This difference-in-difference estimate of the MRK dispersion conditional vs. unconditional on firm-level productivity is then calculated further (triple-difference estimate). Findings - A rise in GVC is associated with a decrease in the MRK dispersion in the export-intensive industry compared to the non-export-intensive industry. The same is true for industries that rely heavily on imports versus those that do not (i.e., import intensive vs. non-intensive). Furthermore, the reduction in the MRK dispersion in the export-intensive industry associated with an increase in the GVC is disproportionately greater for high-productivity firms. In contrast, the negative relationship between GVC and MRK dispersion in the import-intensive industry is disproportionately smaller for high-productivity firms. Originality/value - Existing studies focus on the relationship between GVC and aggregate output, exports, and imports at the country level. We investigate detailed firm/industry-level mechanisms that determine the relationship between GVC, trade, and productivity. Using the plant-level data in South Korea, we investigate how GVC is related to the cross-firm MRK dispersion, an important measure of allocative inefficiency, based on Hsieh and Klenow's (2009) influential economic theory. This is the first study to provide plant-level evidence of how GVC affects MRK dispersion. Furthermore, we examine how the relationship between GVC and MRK-dispersion varies across export intensity, import intensity, and firm-level productivity, providing insight into how GVC can affect firms' exposure to competition in the global market differently depending on market conditions and thus generate trade-related productivity gains.

• Journal of Korea Trade
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• 제27권5호
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• pp.113-136
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• 2023

Purpose - Global production chains and their impacts on economic growth have drawn extensive attention from researchers. Close relationships among global production chains, export and economic growth have been illuminated, as evidenced by the fast and stable economic growth of East Asian economies. These economies perform various roles within global production chains using offshoring, in which the impact of import on domestic gross output is as strong as that of export. The impact of import on economic growth would depend on whether imported inputs substitute or complement domestic inputs production, which is likely to vary according to individual countries' functions within global production chains. The economic growth of concerned countries would also be diverse. However, little attention has been paid to the impact brought by imports compared to its significance. Design/methodology - The principal methodology used in this paper is structural decomposition analysis (SDA), widely chosen to elucidate the impact of various factors on domestic gross output using input-output tables. This paper extracts trade data of six Asian economies from the World Input-Output Database (WIOD) 2016 release that covers 43 countries for the period 2000-2014. The extracted data is then categorised into 37 sectors. First, this paper calculates the Feenstra-Hanson Offshoring Index (OSI) of each country. It then applies SDA to measure the changes in each economy's gross output, export, import input coefficients, and domestic input coefficients. Finally, after taking the first difference from pooled time-series data, it estimates the correlations between imported input coefficients and OSI using the ordinary least square (OLS) method. Findings - The main findings of this paper can be summarised as follows. Firstly, all six countries have increasingly engaged in global production chains, as evidenced by the growing size of OSI. Secondly, there are negative correlations in five countries except Japan, with sectoral differences. Thirdly, changes in import input coefficients are not negative in all six countries, indicating that offshoring does not necessarily substitute for domestic inputs production but does complement it and, therefore, fosters their economic growth. This is observed in China, Indonesia, Korea and Taiwan. Offshoring has led to an increase in the use of imported inputs, which has, in turn, stimulated domestic inputs production in these countries. Originality/value - While existing studies focus on the role of export in evaluating the impact of participating global production chains, this paper explicitly examines the unexplored impact of import on domestic gross output by considering both the substitution and the complementary effect, using the WIOD. The findings of this paper suggest that Asian economies have achieved fast and stable economic growth not only through successful export management but also through effective import management within global production chains. This paper recommends that the Korean government and enterprises carefully choose offshoring strategies to minimise disruption to domestic production chains or foster them.

• 정보관리연구
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• 제41권3호
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• pp.175-190
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• 2010

국가 과학기술 경쟁력 향상 및 창조적 부의 원천 확보를 위해서는 지능화된 시맨틱 기술을 통한 정확한 정보 제공과 고품질의 정보 제공이 필요하다. 시맨틱 기술은 정보를 의미적으로 연계 및 통합하고 원하는 정보를 보다 쉽게 얻을 수 있는 기술이며, IT전반에 걸쳐 파급효과가 매우 큰 핵심기술로서 다양한 산업분야에서의 기술적 경쟁력을 확보하고 이를 성장동력화 하고 있다. 이에 본 논문은 시맨틱 기술이 국내 차세대 웹 시장을 통해 경제 각 부문에 미치는 효과를 한국은행(2009)의 산업연관분석을 이용하여 생산유발효과, 부가가치유발효과, 수입유발효과, 취업자유발효과로 나누어 경제적 파급효과를 분석하여 시맨틱 기술에 대한 경제적 타당성을 검증하고자 한다.

• 시큐리티연구
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• 제16호
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• pp.243-264
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• 2008

우리나라 민간 시큐리티 교육과 관련된 연구들은 지금까지 주로 교육현황과 문제점 파악 및 개선에 집중되어 왔으며, 교육 참여에 따른 전이효과에 대해서는 체계적인 분석이 미흡한 실정이다. 따라서, 본 연구는 현직에 있는 민간 시큐리티 종사자를 대상으로 경비업법 제13조 1항에 의거하여 실시되는 신임 교육이 전이효과에 미치는 영향을 규명하고자 탐색적 연구를 실시하였다. 민간 시큐리티 종사자의 신임 교육이 전이효과에 미치는 영향을 보면 다음과 같다. 첫째, 시큐리티 종사자의 사회인구학적 특성에 따라 개인적 특성 교육훈련특성 업무환경, 전이효과의 차이를 검증한 결과 부분적으로 유의한 차이가 있는 것으로 나타났다. 둘째, 시큐리티 종사자의 개인적 특성이 전이효과에 미치는 영향을 검증한 결과 통계적으로 유의한 차이가 있는 것으로 나타났다. 셋째, 시큐리티 종사자의 교육훈련특성이 전이효과에 미치는 영향을 검증한 결과 통계적으로 유의한 차이가 있는 것으로 나타났다. 넷째, 시큐리티 종사자의 업무환경이 전이효과에 미치는 영향을 검증한 결과 통계적으로 유의한 차이가 있는 것으로 나타났다.

• The Journal of Asian Finance, Economics and Business
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• 제9권6호
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• pp.389-402
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• 2022

The purpose of the study is to analyze the significant impacts of expectations, performance, complaints, and fairness that affect consumer satisfaction. The methodology involves reviewing and referencing relevant literature carefully, then proposing a model for customer satisfaction. This study is empirically based on a survey with 50 respondents who work in the field of import and export in the region stretching from the north to the south of Vietnam. The sampling method used in this study is the in-depth interview method. The results show that: (1) expectation has a specific impact on customer satisfaction, (2) performance has a positive impact on customer satisfaction, and (3) complaint which is an intermediary factor between expectation, performance, and fairness has an impact on satisfaction, (4) fairness has a positive effect on satisfaction, in addition, fairness is an extremely important feature when customers choose an import-export service. Research implies that increasing expectations, performance, and fairness results in an improved customer experience and satisfaction when they use the service. It is suggested that the complaint factor continue to be studied and looked into because it still has some effect on satisfaction and is an intermediate variable that changes how the other factors relate to each other.

• 정보관리연구
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• 제39권3호
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• pp.73-94
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• 2008

과학기술정보가 앞으로의 경제발전의 주도적인 역할을 수행할 지식기반사회의 핵심 요체임과 동시에 우리나라가 지식정보강국으로 도약할 기본적인 인프라임에도 불구하고 국가 지식정보시스템 개발에 따른 경제성장 및 제반 경제구조에 미치는 영향에 대한 분석은 현재 매우 미미한 실정이다. 이에 본 논문은 국가 지식정보시스템 개발의 연구활동이 경제 각 부문에 미치는 효과를 한국은행(2007)의 산업연관분석을 이용하여 생산유발효과, 부가가치유발효과, 수입유발효과, 취업자유발효과로 나누어 경제적 파급효과를 분석하고, 연구개발 투자에 대한 비용편익분석을 통해 국가 지식정보시스템 개발에 대한 경제사회적 타당성을 검증하고자 한다.

• Asian Journal of Business Environment
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• 제8권4호
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• pp.37-44
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• 2018

Purpose - The artificial intelligence industry plays an increasingly significant role in stimulating the development of United States of America's economy. On account of this background, this paper attempts to explore the impact of artificial intelligence industry on United States of America's macroeconomy. Research design, data, and methodology - This paper mainly focuses on the impact of artificial intelligence industry on GDP, employment, real income, import, export and foreign direct investment. Furthermore, the Phillips-Perron test and Canonical cointegrating regression will be employed to examine the impact of artificial intelligence industry on United States of America's macroeconomy with a sample form 2010-Q1 to 2017-Q4. Results - Via the empirical analysis, the results reveal that the artificial intelligence industry has a positive effect on United States of America's GDP, employment, real income, export and foreign direct investment. Conversely, the artificial intelligence industry has a negative effect on United States of America's import. Conclusions - In summary, the impact of artificial intelligence industry on United States of America's macroeconomy is positive and significant in statistics. Therefore, the government of United States of America should put more input into artificial intelligence industry.

• 한국항만경제학회:학술대회논문집
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• 한국항만경제학회 2006년도 국제학술대회
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• pp.103-124
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• 2006

This paper is concerned with a comparative study on the economic effects upon the Korean economy by transport mode, ie road, rail, air, and coastal and inland water transportation between 1990 and 2000, using input-output analysis. The economic effects consist of backward and forward linkage effects, production inducing and import-inducing effects. The data employed for this study come from the Bank of Korea database for Input-Output structure of the Korean economy. The major findings in this study are, among others:(1) the power of dispersion(=backward linkage effect) of coastal and inland water transportation sector is the highest among the four transport sectors, while road cargo transport mode showed the highest the degree of sensitivity (=forward linkage effect); (2) rail cargo transport recorded the highest production inducing effects; and (3) air transport mode achieved the highest ranking in the import-inducing effects.