• International Area Studies Review
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• v.22 no.2
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• pp.19-40
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• 2018

This paper aims to quantify the determinants of the Gulf Cooperation Council (GCC) countries' exports by using an augmented gravity model. The gravity model was applied to the six members of the GCC (Kuwait, Saudi Arabia, Bahrain, Qatar, the United Arab Emirates and Oman) with datasets that consist of their major 55 trading partners. The findings of this paper reveal that the product of the exporter's GDP and its trading partner's GDP had a significantly positive effect on the exports of five GCC members, except for Qatar. Distance had a significant and negative effect on the exports of the UAE, Saudi Arabia and Oman, while it had a significantly positive effect on those of Bahrain and Qatar. The exporter's GDP per capita had a significantly positive effect on the exports of Bahrain, the UAE and Oman, while a negative effect on Saudi Arabia's exports. The exporter's population had a significantly positive effect on the exports of all six GCC members, while the importer's population had a significantly positive effect on the exports of Kuwait, Bahrain and Qatar, yet, a significantly negative effect on Saudi Arabia's exports. Borders had an insignificant effect on the exports of the six members. The common language had a significant and positive effect on the exports of Kuwait, Saudi Arabia, Bahrain and Oman. FTAs had a significantly positive effect on the exports of Bahrain and a significantly negative effect on Qatar's and Oman's exports. The membership of the GCC had a significantly positive effect on the exports of Kuwait, Bahrain and Qatar, while it had a negative effect on Saudi Arabia's exports.

• The Journal of Fisheries Business Administration
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• v.51 no.4
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• pp.85-96
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• 2020

The purpose of this study is to find out the determinants of export in Korean fishery products. For the analysis, laver and tuna, which account for almost half of seafood exports, were selected, and a gravity model widely used in trade analysis was applied. As explanatory variables, GDP, number of overseas Koreans, exchange rate, FTA, and WTO were applied, and fixed effect terms were included to take into account multilateral resistance that hinders trade. The analysis period is from 2000 to 2018, and the Poisson Pseudo Maximum Likelihood (PPML) method was applied to solve the problem of zero observation and heteroscedasticity inherent in trade data. As a result of the analysis, GDP was found to have a significant positive effect on both laver and tuna. The number of overseas Koreans was significant in canned tuna exports, but not in laver and the other tuna products. As the exchange rate increased, the export of laver and tuna for sashimi increased. The impacts of the FTA were confirmed in the exports of dried laver and raw tuna, which supports the results of the previous study. WTO was not significant for laver and tuna. Based on these results, it is necessary to find a way to make good use of the FTA to expand exports of seafood.

• 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 the Economic Geographical Society of Korea
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• v.12 no.2
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• pp.142-158
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• 2009

The purpose of this paper is to identify determinants of regional export in Korea using the interregional input-output table and SUR(Seemingly Unrelated Regression) model. Regional exports are classified into four groups; intraindustry intraregional export, interindustry intraregional export, intraindustry interregional export and interindustry interregional export. Labor productivity, scale economies, market size, and international trade volumes have positively influenced regional exports while the interregional distances having a negative effect on them. These results imply that it is necessary to operate regional strategies to enhance productivities and market size and to reduce transportation and distribution costs for revitalize a regional economy by increasing regional exports.

• The Journal of Fisheries Business Administration
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• v.36 no.2 s.68
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• pp.97-120
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• 2005

This study focused on manufactures of meat and fish products among food manufactures, made a time series data for the period from 1983 to 2002, and applied the data to Hecksher-Ohlin model to analyze the elements of pattern of export in food processing industries of Korea. The results are as follows; First, the average annual growth rate of constant exports has increased for meat product and fish product industries in Korea. But, for fish product industries, it has decreased at large since the mid-1990s. Second, the average annual growth rate of physical capital index has increased for meat product and fish product industry, The rate has been more higher for fish product industry than for meat product industry. Third, the average annual growth rate of labor index has decreased for both meat and fish products industries. Fourth, physical capital index has had no significant impact on constant exports for meat product industry, while labor index has had a significant impact on it. Fifth, physical capital index has had a significant impact on constant exports for fish product industry, while labor index has had no significant impact on it.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.2
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• pp.90-106
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• 2018

This study suggests a gateway strategy for transporting agri-food exports to expand exports after examining the patterns of Korean agri-food exports by commodities and the role of export gateways. Korean agri-food exports have increased, but processed food exports have increased significantly compared to fresh agricultural products during the last 17 years. More importantly, Busan port is the main agri-food export hub in Korea. Under these circumstances, this paper examines the determinants of processed cereal-based food (HS 19) exports through Busan port using classification and regression tree (CART) analysis. As a result, the main factors that help to predict the real value of Korean exports are the GDP of the export destination countries, their distances from Korea and their GNI per capita. The destinations of Korean agri-food exports are finally classified into eight groups, which reveals the characteristics of clusters and provides useful insights for the strategies to expand agri-food exports.

• Asian Journal of Business Environment
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• v.13 no.1
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• pp.31-41
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• 2023

Purpose: This study purposes to analyze the determinants of the volume of Indonesian tuna exports. Research design, data and methodology: The framework was developed from the gravity model for trade, which was expanded with additional variables of competitiveness, exchange rate, and industrial share of the destination country. The data sources used in this study are UN Comtrade and the World Bank. The data used is yearly data from 12 countries in 2001-2019. The scope of the study is limited to exports to the twelve main export destinations. Panel data regression analysis is used to determine the factors that affect the volume of Indonesian tuna exports. Results: The results show that according to the theory, Indonesia's GDP has a positive effect and economic distance has a negative effect on the volume of the exports. Meanwhile, the GDPs of the destination countries are not proven to have a positive effect. However, the higher the industrial share in the country, the higher the export volume tends to be. Conclusions: The conclusion obtained from this study is that Indonesia's GDP, economic distance, real exchange rate, industrial GDP share of the destination country, and the RCA index affect the volume of Indonesian tuna exports.

• East Asian Economic Review
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• v.23 no.1
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• pp.55-88
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• 2019

Our paper contributes to existing literature by empirically investigate the trade structure and trade performance between Korea and ASEAN. Overall, trade activities between Korea and almost major ASEAN economies have significantly focused on capital goods, medium and high technology goods, while the remaining ASEAN countries' exports over Korea have been mainly primary and low technology goods. There has been a higher complementarity in between Korea's exports and ASEAN's imports compared with between ASEAN's exports and Korea's imports. Estimation results show that ASEAN's GDP and income have larger impacts than those of Korea on aggregate trade flows as well as sectoral level between two sides. Additionally, geographical conditions are critical factors impeding Korea-ASEAN trade. Meanwhile, other factors in the estimation model have mixed impacts on components of Korea-ASEAN trade structure. Finally, there is a significant room for Korea's trade expansion with ASEAN, particularly new and less developed members in future.

• 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.

• 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.