This study analyzes FCEV among measures to respond to climate change policies. In particular, it proposes alternatives to solve this problem in the trade industry, which relies on transportation sectors with high greenhouse gas emissions such as exports and imports of goods. Therefore, when FCEV is introduced in the transportation sector, changes in CO2 emissions, a greenhouse gas, and changes in logistics costs for changes in CO2 emissions are set through scenarios to evaluate the impact on product trade, such as imports and exports. As a result, the increase in logistics costs due to carbon dioxide emissions affected the import and export volume of goods, and when FCEV was introduced, the export volume would increase by up to 5.6%, and the import volume by up to 30%. In addition, CO2 emissions decreased to about 60% in 2050. Therefore, the introduction of FCEV in the transportation sector will greatly contribute to increasing sales in the trading industry and will be able to solve environmental problems such as greenhouse gas reduction.

This study was conducted because the global economic downturn caused by COVID-19 caused a surge in logistics costs and it was no longer possible to predict logistics costs using existing methods. For this study, we made the assumption that economic indicators affect logistics cost. Chapter 2 examines the current status of the liner market and factors affecting logistics costs. Based on this, Chapter 3 collects independent and dependent variables to determine the analysis model. As the independent variable, economic indicators of major countries constituting the SCFI were selected, and the dependent variables were the SCFI Europe Index and the SCFI USA Index. In Chapter 4, a panel analysis was conducted based on this, and it was confirmed that major economic indicators had a negative (-) effect on SCFI. This is contrary to the existing research results, which can be attributed to the special situation caused by COVID-19 and the imbalance of demand and supply by region. The results of this study are meaningful in that they can predict long-term logistics cost volatility without analyzing supply and demand, and can be applied to other studies as well.

This study identified consumers' shopping behavior in live streaming commerce. To this end, this study put the uncertainty issue of live shopping and the transfer of trust at the center of the discussion. The verification of the research model resulted in the following conclusions. First, reduced uncertainty in live shopping was a factor in increasing the level of involvement and attachment in the service. These results showed that resolving uncertainty in newly introduced services is a key factor in determining users' positive attitudes. Second, the trust in shopping sites influenced the current live shopping attitude. This is because the transfer of trust is also valid in live shopping, which demonstrated the importance of building trust. Third, this study proposed and validated a research model that could systematically understand the consumption process of live streaming shopping. Furthermore, this study provides a beneficial implication for those who want to use live shopping in practice.

The purpose of this study is to classify the types of local market knowledge and knowledge sources in reverse knowledge transfer and analyze their relevance. To do so, first, we searched for papers related to the types of local knowledge published in 9 international business academic journals between 1988 and 2020, and derived four types of local market knowledge. Second, in order to classify the source of knowledge, we searched for papers related to network types published in 9 international business academic journals between 1988 and 2020, and divided them into 4 types to derive characteristics. Third, by examining the types of local market knowledge that can be obtained according to network types, a conceptual model was developed between them, and the suitability between local market knowledge and sources of knowledge was revealed through empirical analysis. Through empirical research on what kind of knowledge can be obtained depending on the knowledge sources, various business and academic implications can be provided to many companies.

As customer needs for eco-friendly transportation services increase, strategies of major global shipping companies are being established to meet them. Even if logistics costs increase, more and more shippers are choosing shipping companies that fulfill their social responsibilities through decarbonization, and against this backdrop, global shipping companies want to strengthen corporate social responsiveness and reduce shipping environmental costs. In the post-corona era after COVID-19, it is necessary to review the latest Green Shipping management strategies of shipping companies emerging as a new normal for the shipping and logistics industries. This study aims to explore trends in the latest Green Shipping management strategies of global shipping companies pursuing environmental load suppression in the shipping and logistics fields. Among the previous studies, some studies analyzed the green shipping policies of major shipping countries, but they did not deal with the latest policies over time, and few previous study has conducted a fact-finding analysis on the latest Green Shipping management strategies of major shipping companies at the corporate level. This study attempted to analyze securities reports by major domestic and international shipping companies and to present the latest Green Shipping management strategies by shipping companies.

This study aims to analyze the effects of the characteristics of startups and the role of accelerators on internationalization performance. To achieve this purpose, we collected data from the management of 180 startups promoting overseas expansion. As a result of empirical analysis, it was confirmed that among the characteristics of startups, innovativeness, learning orientation, and global orientation had a significant effect on internationalization performance. In addition, it was confirmed that the role of the accelerator has a positive effect on the internationalization performance.

This paper analyzed the dynamic conditional correlation between the carbon emission trading prices of Korea, China, EU, New Zealand. This paper was analyzed using the daily data of carbon emission trading prices of each country from January 12, 2015 to January 13, 2021 using the DCC-GARCH model. Summarizing the research results, first, the dynamic conditional correlation between carbon emission trading prices in the EU, Korea, and China, excluding New Zealand, was strong, indicating that there was a co-movement phenomenon. Second, it was found that carbon emission trading prices in major countries have a stronger tendency to co-movement due to global shocks. Third, it appears that the dynamic conditional correlation between the carbon emission trading prices of Korea and China is gradually strengthening. This study confirmed that the co-movement between carbon emission trading prices in Korea and other countries gradually intensified as time passed. In particular, it is meaningful in suggesting the implication that the phenomenon of co-movement between carbon emission trading prices in Korea and China is gradually intensifying.

In this study, I focus on analyzing how the effects of implementing ETS are different depending on whether Korean ETS linking with carbon markets in other countries. The global computable general equilibrium (CGE) model built in this study analyzes the chages in the production and trade of industrial sectors according to the international linkage of ETS compared to the reference scenario of emissions reduction targets and implementation of ETS. From the analysis of internatioanl linkage of carbon markets scenarios, Annex B countries-South Korea carbon market linkage with individual ETS in China worse the economic outcomes in South Korea the most. This means South Korea lose the international competitiveness compared to China in this scenario. On the other hand, Annex B-China carbon market linkage with Korean individual ETS implementation reduce the decreases in production and trading. The most effective way is to join a global emissions trading market with China. The results are consistent in most industries of South Korea. These results are caused by that the supply of emission allowance is increased and the price of emissions allowances is dropped by China's participation to the carbon market, which can be understood to reduce the carbon reduction cost for industrial sectors. In addition, it can be also concluded that the determinant of the negative impact of ETS on changes in production and trade is more sensitive to the price of emissions allowances than to the characteristics of production and trade structure.

This study primarily concerns the Model Contract for International Sale of Manufactured Goods recently published by International Chamber of Commerce in 2020. To this end, this study examines the importance of the ICC model contract and its main characteristics, and considers in what form the contract is composed of and the scope of its application by classifying it according to the object of the contract, the subject and type of the transaction. In addition, this study divides the main contents of the ICC model contract into special conditions and general conditions, and attempts to scrutinize details of each condition in connection with the United Nations Convention on Contracts for International Sale of Goods(1980) as a governing law taken by the ICC model contract. Furthermore, this study puts forward, on the basis of the detailed examination of main conditions of ICC Model Contract, practical implications on what the parties to the contract should be aware of when using the ICC model contract.

For multinational manufacturers, China is an attractive consumer market, but the unique attributes and tastes of Chinese customers present challenges in achieving desired investment performance. In this paper, the influence (mediating function) of consumer-centered market orientation adopted as a strategic means by multinational companies entering China on investment performance was examined utilizing samples collected through questionnaires and statical analysis through structural equation models. This paper, based on value chain and product attributes, divided market orientation into two types: production impacted market orientation and service impacted market orientation. The empirical analysis results of 233 samples showed that, service impacted market orientation with downstream activities and support service (as a variable) has a greater impact on investment performance than production impacted market orientation with upstream activities and product attributes. This indicates to managers that focusing on service impacted market orientation when implementing consumer-centered marketing strategies in the Chinese local market is an efficient/effective localization strategy to increase expected investment performance.

The purpose of this study is to examine the extent to which smart contracts can be applied to the software export business and to find out the legislative issues to activate smart contracts. A smart contract is a computer program that automatically executes a contract when conditions are fulfilled. Smart contracts can play a pivotal role in the field that requires immediate execution of contract or in a highly standardized field with multiple parties involved. In the software export business, it is desirable to apply the smart contract partially rather than applying the smart contract to the entire process because various parties are involved and the process is very complicated. The business model of exporting packaged software, a completed software that is mainly licensed for use, rather than the business model of exporting customized software is suitable for using smart contracts because the project for implementing customized software is mainly focused in the development stage. When smart contracts are used in processes such as contract signing, payment, and project management, work efficiency can be increased. In addition, smart contracts can be used when conditions can be quantified, such as error penalties, in areas that previously required contracts with third parties such as banks, guarantors. In order for smart contracts to be actively used in practice, legal reviews on various issues are necessary including the legality of a smart contract and the validity as an electronic document of NFT (non-fungible token) certificate. Also, for the system stability preventing hacking, etc, the periodic verification or inspection by a third party is essential. To activate smart contracts in international transactions the international treaty regarding smart contracts is also necessary.

This paper investigates the arbitrage effect by the covered interest parity (CIP) deviation, as well as other push or pull factor effect on capital inflows and ouflows in the Korean bond market, by utilizing OLS, TSLS, IRF and VDC in EC model. The sample period covers February 2002 to December 2020. It is found that, the swap basis reflecting the CIP deviations have the significant effects on both debt investment inflows and debt investment outflows. Also, it is found that, the Korean risk factors have decreasing effects on foreigner's investment in the Korean bonds, while the global risk factors have decreasing effects on Korean resident's investment in the foreign bonds.

This study aims to quantify the value of origin among CPTPP and Korea, under the assumption that the 'cumulation' clause has large economic effects in multilateral FTAs and increase the possibility of improving FTA utilization. Analysing the relationship between value-added exports and FTA utilization rate, there is a positive correlation between the two variables, and the cumulation of multilateral production of CPTPP is expected to increase Korea's value-added exports. In the GTAP-VA model, the target of cumulation is calculated as 'Domestic Value Added', and all value-added of CPTPP are cumulated in the form of value added exports of exporting country. When Korea participates in CPTPP, it is possible to cumulate additional 6.3~9.6% value added, and the agreements with low FTA export utilization rates such as New Zealand, ASEAN would have greater economic effects of cumulation. For the successful implementation of CPTPP in Korea, it is necessary to develop a new origin verification system that enables multilateral value-added cumulation. It is time to seek cooperation with countries currently participating in CPTPP to prove the value added inherent in CPTPP-originating products.