• Journal of Korea Trade
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• v.24 no.6
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• pp.157-172
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• 2020

Purpose - This research empirically proves the extent to which export insurance promotes Korean exports to research object countries among New Southern countries. The outcome of this research will present implications for the operations of export insurance for exports to these countries. Design/methodology - For the empirical analysis, the export equation was composed using a basic gravity model. Based on this, the determinants of Korea's exports to research object countries were analyzed. In this study, a panel unit root test and panel cointegration test were conducted. As a result of the panel unit root test, it was confirmed that the variables of the panel data are not belonging to I(0), but to I(1). As a result of the panel cointegration test, it was established that there are long-term stable relationships among all variables. Accordingly, the gravity model was estimated using original data in order to reduce the information loss caused by the first difference, in spite of individual data belonging to I(1). Findings - For the estimated results of panel OLS, the estimated coefficient of short-term export insurance was 0.56-0.64, with statistically significant results at the significance level of 1%. In addition, for the analysis results of the random effect model, the estimated coefficient of short-term export insurance was 0.59-0.64%, with a statistically significant result at the 1% significance level. This could indicate that Korean export insurance has positive influences on export promotion to New Southern countries. Originality/value - The research implies that export insurance has a 4.1 to 4.7 multiplier effect in expanding exports to the New Southern countries for Korea. This research has intensively analyzed the effects of export insurance on the promotion of exports to a selected area by a government foreign economic policy, which is the originality and value of this paper.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.2
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• pp.83-93
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• 2019

This paper provides empirical evidences from the Baltic States on the relationship between technology and trades. In this study, regression and correlation analysis were employed an attempt to reveal the relationship between technology index and net-export coefficient, as well as the relationship between technology index and import coefficient. In this research, technology level was measured by technology index, while trades included of domestic and foreign trades; export and import. The data used for this study were collected from world input-output databases of Estonia, Latvia and Lithuania for the period 2000, 2005, 2010, and 2014. The findings remarked that the relationship between technology and domestic trade was positive and statistically significant. The result of the study implies that the higher was the technology index leads to the higher domestic transaction. Furthermore, relationship between technology and net-export was unpredictable. In year 2000, data from Estonia and Latvia showed that the relationship between variables was negative and in other years of the study, the relationship was positive. However, the relationship between variables was not statistically significant. Lastly, the relationship between technology and import was negative and statistically significant. It implies that the higher was technology index, will have a consequence the smaller was import.

• International Commerce and Information Review
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• v.9 no.4
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• pp.127-139
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• 2007

There are three methods to examine import structures : 1) look at import coefficient, 2) import dependency, and 3) composition ratio of imported products. Therefore, this study analyses the import structure of Korea using the three methods above and when final demand occurs on produced goods and services in each industrial section, it divides import induction coefficients that indicate size of induced import directly and indirectly into consumption, investment and export to identify the effect of export on import induction.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.92-100
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• 2020

The purpose of this study is to analyze the relationship between export weight, import weight, export amount, import amount, and trade balance of ICT industry. The data used were gathered from the Korea Customs Service trade statistics. The analysis period used annual data for 19 years from 2000 to 2018. The change rate analysis was shown in order of trade balance, export amount, import amount, import weight and export weight. The increase rate analysis showed that the trade balance was the highest at 919%.. In the correlation analysis, the trade balance and export amount were 0.95, showing the highest correlation coefficient. As a result of the regression analysis, the export amount for the trade balance, the dependent variable, was Coefficient 2.37, which was positive(+). Each variable is changing independently of one another. Since 2000, the trade balance of the Korean ICT industry has led 84% of Korea's total trade balance. In the future, Korea's ICT industry should be further developed for Korea's economic development, and exports should be further increased to increase the trade balance. In the next paper, we will try to find a field that can be specifically developed by subdividing the ICT industry.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.50
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• pp.187-212
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• 2011

Third party logistics research is searching for increasing its logistics efficiency of organization. Perspective of resource-based theory, this study is to reveal the exploratory relation between integrated capabilities, organzaiton knowledge, and service performance. To develop the relational model, this study conducted a theoretical survey on Shang(2009)'s 3PL service providers research model and Synder & Cumming(1998)'s learning of organization knowledge. According to the result of correlation analysis, Integrated organization knowledge is positively correlated with service diversity advantage (correlation coefficient= .670, p-value= .000) and service quality advantage (correlation coefficient= .575, p-value= .000). The thesis argued that Korean companies try to apply integrated organization abilities and service performance for cutting their export expense.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.285-297
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• 2018

The purpose of this study is to examine the trends of import and export of Korea by each continent and to find ways to increase export to Korea in the future. Each continent selected Asia, Europe, North America, Central and South America, and the Middle East. The analysis period was 220 months from January 2000 to April 2018, and data were collected from the KCS. Regression analysis showed that the coefficient was higher in Asia, Europe, North America, Middle East and Latin America. The markets of each continent moved independently of each other and were statistically significant at t statistic and p-value(${\leq}0.01$). As a result of this study, Asia and North America have been major export markets in Korea. Europe, the Middle East and Central and South America are emerging as new markets in Korea. In order to increase Korea's exports in the future, there is a need for continued interest in Asian markets including China & Southeast Asia.

• Journal of Korea Port Economic Association
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• v.29 no.3
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• pp.25-37
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• 2013

This study investigates the export behavior of port of Pyeongtaek-Dangjin and Daesan. The monthly data cover the period from January 2002 to December 2012. This paper tests whether the exchange rate and the industrial production are stationary or not, rejecting the null hypothesis of a unit root in each of the level variables and of a unit root for the residuals from the cointegration at the 5 percent significance level. The error-correction model is estimated to find that Daesan port is faster than Pyeongtaek-Dangjin in adjusting the short-run disequilibrium. This paper finds that the exchange rate coefficient of Daesan port is higher than that of Pyeongtaek-Dangjin port, while the industrial production coefficient of the former is much smaller than that of the latter. The industrial production coefficient is, however, much higher than the exchange rate coefficient in both ports. The rolling regression shows that the influence of exchange rate and industrial production tends to increase in Pyeongtaek-Dangjin port but tends to decrease in Daesan. The impulse response functions indicate that export volumes respond much greater to the positive shocks in industrial production than in exchange rate, and the exchange rate shock decays very fast, while the industrial production shock lasts very long.

• 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).

• Journal of Korea Trade
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• v.25 no.2
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• pp.58-74
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• 2021

Purpose - This paper research on the embodied carbon emission in Sino-Korea trade. It calculates and analyzes the carbon emission coefficient and specific carbon emissions in Sino-Korea trade from 2005 to 2014. Design/methodology - This paper conducted an empirical analysis for embodied carbon emission in Sino-Korea trade during the years 2005-2014, using a multi-region input-output model. First, direct and complete CO2 emission coefficient of the two countries were calculated and compared. On this basis, combined with the world input-output table, the annual import and export volume and sector volume of embodied carbon emission are determined. Then through the comparative analysis of the empirical results, the reasons for the carbon imbalance in Sino-Korea trade are clarified, and the corresponding suggestions are put forward according to the environmental protection policies being implemented by the two countries. Findings - The results show that South Korea is in the state of net trade export and net embodied carbon import. The carbon emission coefficient of most sectors in South Korea is lower than that of China. However, the reduction of carbon emission coefficient in China is significantly faster than that in South Korea in this decade. The change of Korea's complete CO2 emission coefficient shows that policy factors have a great impact on environmental protection. The proportion of intra industry trade between China and South Korea is relatively large and concentrated in mechanical and electrical products, chemical products, etc. These sectors generally have large carbon emissions, which need to be noticed by both countries. Originality/value - To the best knowledge of the authors, this study is the first attempt to research the embodied carbon emission of ten consecutive years in Sino-Korea Trade. In addition, In this paper, some mathematical methods are used to overcome the error problem caused by different statistical caliber in different databases. Finally, the accurate measurement of carbon level in bilateral trade will provide some reference for trade development and environmental protection.

• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.231-238
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• 2017

In this study, we selected interest rates and won/dollar, won/yen, won/yuan to find out the indicators affecting domestic exports in the age of convergence. Correlation, regression analysis, indicator analysis and model analysis were performed for 210 months since January 2000. As a result, the correlation between exports and won/dollar, won/yuan, won/yen was negative(-). Therefore the directions were different from each other. In regression analysis, only interest rate and won/dollar were statistically significant for export. In the coefficient, interest rate calculated positive(+) and won/dollar was negative(-). It is interpreted that the won/dollar depreciation positively affects export growth. In this study if the won/dollar exchange rate falls, exports will increase. This is different from previous studies. Therefore, it is necessary to review the posterior relationship by time difference. Korea is highly dependent on exports. Therefore, the study on the indicators affecting exports to increase exports should continue.