• Korea Trade Review
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• v.46 no.1
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• pp.83-111
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• 2021

This paper conducts a Structural Dcomposition Analysis on the structure of factors contributing to the output growth of Korean Maritime and Port Industry during year 2000~ year 2017. Some of results are as follows. The output growth rates of the industry (yearly average 4.3%) was far lower than the average growth rates of Service as well as of Manufacturing Industries (yearly average 9% and 6.8%, respectively) due to the lower output growth of Maritime Industry. Among the growth contributing factors, change in domestic demand for final goods is the first contributing factor, and then change in technology, change in export and import substitution for intermediate goods are followed in order, but import substitution for final goods decreased its output. However, in each respective sub-periods of pre-global financial crisis and post-global financial crisis, change in the export, especially change in the export of Maritime Industry is the dominant determinant of output change in the Maritime and Port Industry in opposite ways. In the periods of the former the increase in the export of Maritime Industry overwhelmingly led the output growth of the Maritime and Port industry, but in the periods of the latter the decrease in its export was the culprit of lower output growth of the industry. On the other hand, among all industries of service and manufacturing sectors, Wholesale and Retail industry is the leading industry in contributing to the output growth of the Maritime and Port Industry, and Transportation Equipment industry is the leading industry among all manufacturing industries.

• The Journal of the Korea Contents Association
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• v.17 no.10
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• pp.598-615
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• 2017

This paper compares the sources of the changes in the production of manufacturing industry between Korea and Japan during year 2000 ~year 2011 by I-O SDA. The results show that the first source of the increase in the production of Manufacturing industry in Korea is export, while in Japan the technological change. However, the contribution of technological change is relatively small in Korea and moreover decreasing. Meanwhile, the domestic final demand is the second source of the increase in the production of Korean manufacturing industry, but it was the first source of the decrease in the production of Japanese counterpart. On the other hand, the decrease in import substitution for both the intermediate and domestic final goods is significantly contributed to the decrease in the production of both Korean and Japanese manufacturing industry. Conclusively, these results confirm that the growth of Korean manufacturing industry has heavily depended on export. Then, considering the current global economic environment that is rapidly becoming more uncertain as well as volatile, the results imply that the heavy export dependence may become a key hurdle for the solid sustained growth of Korean manufacturing industry, so that policy ensuring more evenly balanced growth contribution from all growth sources is necessary. In particular, policy to promote technological change and import substitution is required with greater weight.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.1
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• pp.1-15
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• 2017

This paper analyzes empirically how the three main industries (petrochemical industry, shipbuilding industry, automobile industry) that are driving the growth of Ulsan region in 2005~2013 have grown by what factors. For this purpose, we investigate the structural changes of the three main industries by using regional input-output tables announced by the Bank of Korea and examine the growth contribution rate of each industry that is divided into domestic final demand, export demand, import substitution for final goods, import substitution for intermediate goods and technological change, respectively. The growth rate of gross output and aggregate demand in petrochemical and automobile industries increased in 2010-1013 compared to 2005-2010, but the growth rate of gross output and aggregate demand in shipbuilding industry slowed down. As a result of analysis of factors contributing to the increase in gross output of the three main industries, export demand has the greatest effect. By industry, the rate of growth contribution of export demand in petrochemical industry is recorded as 209.23% in 2005-2010 and 113.78% in 2010-2013, respectively. The rate of growth contribution of export demand in automobile industry is recorded as 258.72% in 2005-2010 and 72.69% in 2010-2013, respectively. On the other hand, the rate of growth contribution of export demand in shipbuilding industry is recorded as 94.47% in 2005-2010, but it decreased to -255.32% in 2010-2013. Analysis of growth factors of Ulsan's three main industries is expected to serve as the basis for reorganizing related industrial policies and establishing them.

• The Journal of Fisheries Business Administration
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• v.37 no.1 s.70
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• pp.45-71
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• 2006

The main objective of this study is to analyze problems of the Country of Origin Labeling(COOL) in small live fish(SLF) trade by applying the asymmetric information theory which is called ${\ulcorner}$Lemon Market Theory${\lrcorner}$. The purpose of importing SLF is to enhance fishing household income and import substitution effect as well. SLF importation is quite different in its nature from importing general fish and fish products for final/direct consumption. SLF are imported for the purpose of domestic aquaculture and naturalization where domestic production/supply of SLF is less than domestic demand for or such species are not native to Korean waters. Information asymmetric problems arise even in SLF trade as the same way in general goods and services. However, the information asymmetry issues in SLF trade are much more complex than non-living goods because SLF are traded in the live state. To alleviate such problems the Korean government initiated the general COOL scheme to imported SLF. However, many experts argues that such policy on SLF would not be appropriate because of SLF's very nature. Applying the lemon market theory, we can analyze how information discovery schemes are able to signal correct information to SLF trading parties and to result in more symmetric information in SLF trade markets. This research carried out a case study about small live eel(SLF) trade and its farming. The results showed that applying the COOL to small live eels just right upon coming into fish farms tends to increase substantially fish farmer's income and at the same time to lower unnecessary transaction costs. In particular, such transaction costs by imposing simply the general COOL on SLF may easily outweigh its benefits. For instance, to resolve the problems, the Korean ministry of agriculture and forestry(KMAF) has developed a quite different COOL rules from the general ones and has applied them to imported live cattle and medium/small livestocks. The KMAF's differentiated COOL policy on some imported livestocks may be a good case which can be applied to imported SLF. In addition to the differentiated COOL on SLF, Sanitary and Phytosanitary (SPS) and traceability system would play crucial complementary roles in alleviating information asymmetry problems in SLF trade. Advanced fisheries tend to strengthen their SPS system rather than to adopt the general comprehensive COOL schemes into imported SLF trades and domestic market exchanges.

• Journal of Intelligence and Information Systems
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• v.27 no.4
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• pp.23-48
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• 2021

The Korean economy has achieved continuous economic growth for the past several decades thanks to the government's export strategy policy. This increase in exports is playing a leading role in driving Korea's economic growth by improving economic efficiency, creating jobs, and promoting technology development. Traditionally, the main factors affecting Korea's exports can be found from two perspectives: economic factors and industrial structural factors. First, economic factors are related to exchange rates and global economic fluctuations. The impact of the exchange rate on Korea's exports depends on the exchange rate level and exchange rate volatility. Global economic fluctuations affect global import demand, which is an absolute factor influencing Korea's exports. Second, industrial structural factors are unique characteristics that occur depending on industries or products, such as slow international division of labor, increased domestic substitution of certain imported goods by China, and changes in overseas production patterns of major export industries. Looking at the most recent studies related to global exchanges, several literatures show the importance of cultural aspects as well as economic and industrial structural factors. Therefore, this study attempted to develop a forecasting model by considering cultural factors along with economic and industrial structural factors in calculating the import volume of each country from Korea. In particular, this study approaches the influence of cultural factors on imports of Korean products from the perspective of PUSH-PULL framework. The PUSH dimension is a perspective that Korea develops and actively promotes its own brand and can be defined as the degree of interest in each country for Korean brands represented by K-POP, K-FOOD, and K-CULTURE. In addition, the PULL dimension is a perspective centered on the cultural and psychological characteristics of the people of each country. This can be defined as how much they are inclined to accept Korean Flow as each country's cultural code represented by the country's governance system, masculinity, risk avoidance, and short-term/long-term orientation. The unique feature of this study is that the proposed final prediction model can be selected based on Design Principles. The design principles we presented are as follows. 1) A model was developed to reflect interest in Korea and cultural characteristics through newly added data sources. 2) It was designed in a practical and convenient way so that the forecast value can be immediately recalled by inputting changes in economic factors, item code and country code. 3) In order to derive theoretically meaningful results, an algorithm was selected that can interpret the relationship between the input and the target variable. This study can suggest meaningful implications from the technical, economic and policy aspects, and is expected to make a meaningful contribution to the export support strategies of small and medium-sized enterprises by using the import forecasting model.