• 한국항만경제학회지
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• 제38권4호
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• pp.187-198
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• 2022

본 연구는 코로나 19 팬데믹의 전세계적인 확산으로 인하여 국경봉쇄와 이동제한과 같은 방역 조치와 전염병의 확산이 상품무역량을 감소시키는 원인인지를 살펴보고자 하였다. 이를 위해 한국과 주요무역 상대국의 상품무역 통계를 이용하여 중력모형 분석을 실시하였다. 분석 결과 코로나 19 확산시기인 2020년의 경우 코로나 팬데믹의 영향이 한국의 무역을 감소시키는 장애요인이라는 것을 실증적으로 확인 할 수 있었다. 그러나 2021년의 경우 팬데믹의 영향이 상품무역에 유의미한 영향을 주는 지 확인할 수 없었다. 2020년과 2021년의 코로나 19 팬데믹이 미치는 영향이 상이한 만큼 코로나 19 전염병이 안정적으로 관리되고 있는 2022년의 상품무역 상황 역시 달라질 가능성이 존재한다. 코로나에 대한 대응이나 백신의 보급 같은 요인들이 각 국가마다 상이하기 때문에 코로나 시대를 마감하는 정책 수립과정에 있어서 그러한 다양한 요인들을 충분히 고려해야 할 것으로 생각된다

• 유통과학연구
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• 제12권2호
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• pp.105-112
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• 2014

Purpose - This research undertakes to understand the trade structures of both China and Japan to strengthen Sino-Japan economic cooperation and examines impediments to trade between the 2 countries to analyze causes which affect trade and to examine improvements in these areas to find out ways of trade expansion. Through this survey of a defined period of time, we can identify the structural factors of trade dependence in the relationship between China and Japan. Research design, data, methodology - The data were collected from Korea Traders Association, Korea Customs Office and UN Comtrade, from which whole table indexes are calculated by author. This research methodology uses trade related indexes to focus on analyzing comparative advantages based on time-series analysis statistics data (2000~2012), by using the analysis index of Trade Intensity Index (TII), Revealed Comparative Advantage Index (RCA) and Trade Specialization Index (TSI). Results - The export ratio for China against Japan was a little higher in 2000 at 2.867 and the export ratio for China against Japan was sustained in 2005. However, it diminished gradually and reached 1.263 in 2012. During the whole period of 2000~2012, the indexes were maintained without any significant change. However, they are still moving closer to -1. Especially, in 2012 it is the closest it has been to -1. Therefore, Japan has a comparative advantage toward export specialization. On the other hand, China has a comparative advantage toward import specialization. For the whole research period, all indexes were much smaller than 1, which means that China has comprehensively had a comparative disadvantage against Japan for the past 10 years when compared to other industries, even though it had improved in 2000. Conclusions - The summary of conclusions based on empirical analysis research are as follows: First, per the Trade Intensity Index of industries between the 2 countries, we can conclude that export ratio index is 2.867, based on the formula, in 2000, which means the export ratio of China against Japan is a little bit higher. Furthermore, the ratios of 2.259 and 1.263 are indicated in 2005 and 2012 respectively which mean the export ratio of China against Japan was maintained in 2005 but was diminishing gradually as the index is 1.263 in 2012. Second, per the Trade Specialization Index of the shipping industry between China and Japan, -0.379 is indicated in 2000, -0.368 in 2005 and -0.568 in 2012. Looking at the whole period of 2000~2012, the indexes were maintained without any significant change. However, they are still moving closer to -1. Especially, in 2012 it is the closest it has been to -1. Third, per the Revealed Comparative Advantage Index of the automobile industry between China and Japan, the RCA indexes in 2005 and 2012 are 0.246 and 0.306 respectively which are still far from 1 even though the index is improved compared to 2000's value of 0.0001. Therefore, the Chinese automobile industry is very much at a comparative disadvantage to that of the Japanese automobile industry.

• International Journal of Contents
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• 제15권2호
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• pp.44-52
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• 2019

This paper uses Delphi Method and statistics provided by the State Administration of Market Regulation of China, attempts to develop the scale index of language service industry in China. Coupled with practical investigation and theoretical framework of SCP paradigm, a deep analysis on market behavior, market structure, and market performance of the industry have been explored. First, the study indicates that the scale index of Chinese language services industry has experienced an upward trend from 10.481million RMB in 2008 to 351.403 million RMB in 2017. Second, majority of language services enterprises are situated in Chinese coastal provinces and there are variations in demand for language services. Third, the standardization of language services are minimal while most of the talents involve a single discipline background. Fourth, most enterprises utilize language tools while there is lack of technological innovation for utilization of language resources and enhancement of service quality. The author mainly suggests four strategies which include: cultivating multilingual services, strengthening the development of industrial informatization and technical innovation, and optimizing the industrial talents structure while also adjusting for industrial distribution and regional coordination, which propose the meaningful implications for the development of language service industry in China.

• Journal of Korea Trade
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• 제23권4호
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• pp.103-114
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• 2019

Purpose - This paper investigates the structure of exports across countries in terms of value added. Exports value added is examined under two categories, domestic and overseas. Using a statistical classification method by distance based on these two value added categories, this paper estimates the similarity of exports value added across countries including Korea. Design/methodology - The model of study is to employ a generalized distance function and then derive the Manhattan and Euclidean distances. The paper also performs cluster analysis using the Partitioning Around Medoids (PAM) and hierarchical methods to classify the 44 sample countries considered in this study. Findings - Our main findings are as follows. The 44 countries can be classified under 5 groups by their domestic and overseas value added in exports. Korea has a sandwich global value chains (GVCs) position between Japan, China, and Taiwan in the East Asian region. Originality/value - Existing papers point out the double counting problem of trade statistics as the intermediate goods trade across borders increases. This paper addresses the double counting problem by using the World Input-Output Table. The paper shows the need to explore the similarity of value added in exports structure across countries and investigate the GVCs position and role of each country.

• 한국의류학회지
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• 제46권5호
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• pp.890-909
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• 2022

This study explores the types of clothing imported from Japan during the port-opening era and investigates the characteristics of import trade related to these clothing products. This is a literature study based on trade statistics data and books on Western clothing published in Japan during the Meiji period. Research findings are as follows: clothing products imported from Japan were divided into 6 types: 1) clothing, 2) undergarments, 3) shirts, 4) waterproof coats, 5) European-style clothing, and 6) nightgowns. "Clothing" is a unified name for any kind of garment, appearing in import records only from 1877 to 1884. Undergarments and shirts were imported from 1884. Waterproof coats were imported only in 1886 and 1898. European-style clothing and nightgowns were imported from 1902. In the total import of clothes, the proportion of clothing was the highest (48.0%), followed by undergarments (41.3%) and shirts (10.6%), while the ratio of nightgowns and raincoats was almost 0%. During the port-opening period, the change in the import value of clothes did not show a continuous increase, but rather showed a large stepwise increase over the course of several years.

• 무역학회지
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• 제47권3호
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• pp.211-232
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• 2022

Due to the impact of the public health event COVID-19 epidemic, the Chinese futures market showed "Black Swan". This has brought the unpredictable into the economic environment with many commodities falling by the daily limit, while gold performed well and closed in the sunshine(Yan-Li and Rui Qian-Wang, 2020). Volatility is integral part of financial market. As an emerging market and a special precious metal, it is important to forecast return of gold futures price. This study selected data of the SHFE gold futures returns and conducted an empirical analysis based on the generalised autoregressive conditional heteroskedasticity (GARCH)-type model. Comparing the statistics of AIC, SC and H-QC, ARMA (12,9) model was selected as the best model. But serial correlation in the squared returns suggests conditional heteroskedasticity. Next part we established the autoregressive moving average ARMA-GARCH-type model to analysis whether Volatility Clustering and the leverage effect exist in the Chinese gold futures market. we consider three different distributions of innovation to explain fat-tailed features of financial returns. Additionally, the error degree and prediction results of different models were evaluated in terms of mean squared error (MSE), mean absolute error (MAE), Theil inequality coefficient(TIC) and root mean-squared error (RMSE). The results show that the ARMA(12,9)-TGARCH(2,2) model under Student's t-distribution outperforms other models when predicting the Chinese gold futures return series.

• 무역학회지
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• 제46권2호
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• pp.355-368
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• 2021

The purpose of this study is to analyze the factors affecting innovation activities related to the introduction of the 4th Industrial Revolution technology for Korean firms faced to the severe global trade and competition environments. This paper conducted an empirical analysis using the 'The Survey of Business Activities' distributed by the Statistics Korea in 2019. According to the results of the analysis, it was found that the firm size, labor cost, R&D, and intellectual property rights had a significant influence on the firms' adoption of the 4th industrial revolution technology. It was also found that the dummy variables such as strategic alliance between companies, review of entry into a new business, transfer of main business operations, and holding of subsidiaries had statistically significant effects on innovation activities. In addition, this paper showed that the firm characteristics had impacts on innovation activities of firms by the 4th industrial revolution technology type. In order for Korean firms to adapt to the challenges by the 4th Industrial Revolution, it is important to provide policy support and an environment in line with the characteristics of the firms.

• 융합정보논문지
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• 제10권5호
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• pp.92-100
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• 2020

본 연구의 목적은 ICT 산업의 수출중량과 수입중량, 수출금액, 수입금액, 무역수지와의 관계를 분석하는 것이고 관세청 무역통계에서 자료를 수집하였다. 분석기간은 2000년부터 2018년까지 총 19년간 연간자료를 사용하였다. 변동률 분석은 무역수지, 수출금액, 수입금액, 수입중량, 수출중량 순으로 크게 나타났으며 상승률 분석은 무역수지가 919%로 가장 높게 나타났다. 상관분석에서 무역수지는 수출액(0.95)과 가장 높은 상관계수를 보여주었다. 회귀분석결과 종속변수인 무역수지에 대해 수출액은 Coefficient 2.37로 양(+)의 방향으로 나타났고 각 변수들은 상호 독립적으로 변동하고 있다. 지난 2000년 이후 한국 ICT 산업의 무역수지가 한국 총 무역수지의 84%를 주도해 왔다. 향후 한국 수출과 경제발전을 위해 한국 ICT 산업을 더욱 발전시켜야 하고 무역수지 증가를 위해 수출액을 더욱 증가시켜야 할 것이다. 다음 논문에서는 ICT 산업을 세분화하여 구체적으로 발전 가능한 분야를 찾아보아야 한다.

• 유통과학연구
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• 제12권6호
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• pp.21-29
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• 2014

Purpose - This research undertakes to understand the competitiveness of the steel distribution industry of both Korea and China to strengthen Korea-Sino economic cooperation, examines impediments to trade between the two countries to analyze causes which affect trade, and examines improvements in these areas to identify means of trade expansion. Through this survey of a defined period, we can identify the structural factors of trade dependence in the relationship between Korea and China. Research design, data, and methodology - The data were collected from the Korea Traders Association, the Korea Customs Office, and UN Comtrade, from which whole table indexes are calculated. The research methodology uses trade-related indexes to focus on analyzing comparative advantages based on time-series analysis statistics data (2000-2012) by using the analysis index of trade intensity index (TII), the revealed comparative advantage index (RCA), and the trade specialization index (TSI). Results - The export ratio for Korea to China was slightly higher in 2000 at 2.867, and the export ratio for Korea to China was sustained in 2005. However, it diminished gradually, reaching 1.263 in 2012. During the period 2000-2012, the indexes were maintained without any significant change. However, they still remain close to -1. In particular, in 2012 it is the closest it has ever been to -1. Therefore, China has a comparative advantage in export specialization. On the other hand, Korea has a comparative advantage in import specialization. For the research period, all indexes were much lower than 1, which means that Korea has consistently had a comparative disadvantage against China for the past 10 years when compared to other industries, even though it experienced improvement in 2000. Conclusions - The summary of conclusions based on empirical analysis research are as follows: First, per the trade intensity index of industries between the two countries, we conclude that the export ratio index in 2000 is 2.867, which means the export ratio of Korea to China is slightly higher. Furthermore, the ratios of 2.259 and 1.263 held in 2005 and 2012, respectively, meaning that the export ratio of Korea to China was maintained in 2005, but was diminishing gradually as the index in 2012 was 1.263. Second, per the trade specialization index of the steel distribution industry between Korea and China, the value was -0.379 in 2000, -0.368 in 2005 and -0.568 in 2012. Looking at the whole period of 2000-2012, the indexes remained without any significant change. However, they are still moving closer to -1. In particular, in 2012 it is the closest it has ever been to -1. Third, regarding the revealed comparative advantage index of the steel distribution industry between Korea and China, the RCA indexes in 2005 and 2012 are 0.246 and 0.306, respectively, which are still far from 1, even though the index has improved compared to the 2000's value of 0.0001. Therefore, the Korean steel distribution industry is at a significant comparative disadvantage to that of the Chinese steel distribution industry.

• 유통과학연구
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• 제14권3호
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• pp.23-30
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• 2016

Purpose - This research focuses on the analysis of logistics barriers in Korea, China and Japan facing the barriers of overseas-expanded manufacturers with other countries. With the tree countries are emerging as the biggest trade partners in Northeast Asia, their logistics barriers are applied with similar verification methods of preceding researches such as Carter(1997). Research design, data and methodology - Collecting the statistics data from the three countries' overseas-expanded manufacturers, t-verification was performed in order to analyze average value and verify any significance. Additionally, multiple regression analysis was used to analyze any influence on the relationship in Korean logistics barrier and Chinese and Japanese expansion to Korean market. Results - Statistics suggested that three countries' logistics barriers are significantly differentiated by each verification categories, and Korean barrier negatively affected Chinese and Japanese manufacturers coming into Korean market. Conclusions - As a result of multiple regression analysis of the influencing relationship between Korea's logistics barrier and Chinese and Japanese companies coming into Korean market, all of the Korean barriers are affecting the companies as an obstructive factor, and it is proved to be statistically meaningful. Therefore, in order to reduce Chinese and Japanese companies' cost burden, it is necessary that not only reasonable charge system and taxation support but also comprehensive measure establishment reduce Korea's logistics barriers. However, since this research has a limitation in samples and shows a period of 5 years in the three nations' trade barriers, continuous and complementary researches are necessary in order to develop certain objectivity.