• 통상정보연구
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• 제14권3호
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• pp.513-536
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• 2012

본 논문은 역사적, 지리적으로 중국과의 교역이 활발한 인천지역 소재 한국 무역업체를 대상으로 기업 일반 현황, 중국과의 무역업무처리 현황, 중국과의 무역클레임 및 무역리스크 관리 현황 등 3가지 범주로 구성된 설문지를 작성, 배포하였다. 그리고 총 84개 유효 설문지를 바탕으로 실태분석하였다. 인천지역 무역업체들은 중국과의 무역거래에서 무역, 금융, 노동 및 투자 등과 관련한 중국정부의 정책 변화, 중국의 물류시스템 등에 대해 많은 우려를 하고 있는 것으로 나타났다. 이러한 중국정부 및 중국의 경제구조와 관련한 리스크는 개별 무역업체 차원에서 대처하기가 어렵다는 점에서 정부와의 긴밀한 대응방안 모색이 요구된다. 또한 중국과의 무역거래 각 단계별로 리스크 발생 가능성이 높은 반면 그 관리는 미흡한 것으로 나타났다. 이러한 실태분석을 바탕으로 인천지역 무역업체들의 대중국 무역리스크 관리 수준을 향상시키기 위한 개선방안을 제시하였다.

• 수산경영론집
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• 제32권1호
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• pp.125-149
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• 2001

The study tries to suggest policy proposals for enhancing competitiveness of our country as the base of fisheries logistics in East-North Asia. The study strongly recommends the adoption of the system of fisheries free trade area(FTA) to achieve the object under the analysis of structure of international fisheries trade in East-North Asian countries.

• 한국항만경제학회지
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• 제21권3호
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• pp.19-34
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• 2005

The purpose of this paper is to introduce the new way of location choice for free trade zone in Busan area by using Obata and Ishii(2003) model of preference discrimination score. And also, this paper investigates the result of Choi, Bong-ho(200l) that deals with the choice of tariff free area in Busan area. Empirical main results are as follows: First, the North Port(Sinsundae)and the New Busan Port are efficient. Final winer of location choice for free trade zone is the North Port(Sinsundae). Second, the ranking result of this paper for 10 potential sites of free trade zone shows the almost similar to that of Choi, Bong-ho(200l). Policy planner for location choice of free trade zone should introduce the preference discrimination score method by Obata and Ishii(2003), because this method shows the very positive empirical results like questionaire method by expert groups and common people in Busan which should cause the much time and much money.

• 무역학회지
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• 제45권3호
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• pp.55-69
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• 2020

This study examines the research trends and knowledge structure of international trade studies using topic modeling method, which is one of the main methodologies of text mining. We collected and analyzed English abstracts of 1,868 papers of three Korean major journals in the area of international trade from 2003 to 2019. We used the Latent Dirichlet Allocation(LDA), an unsupervised machine learning algorithm to extract the latent topics from the large quantity of research abstracts. 20 topics are identified without any prior human judgement. The topics reveal topographical maps of research in international trade and are representative and meaningful in the sense that most of them correspond to previously established sub-topics in trade studies. Then we conducted a regression analysis on the document-topic distributions generated by LDA to identify hot and cold topics. We discovered 2 hot topics(internationalization capacity and performance of export companies, economic effect of trade) and 2 cold topics(exchange rate and current account, trade finance). Trade studies are characterized as a interdisciplinary study of three agendas(i.e. international economy, International Business, trade practice), and 20 topics identified can be grouped into these 3 agendas. From the estimated results of the study, we find that the Korean government's active pursuit of FTA and consequent necessity of capacity building in Korean export firms lie behind the popularity of topic selection by the Korean researchers in the area of int'l trade.

• 유통과학연구
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• 제15권6호
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• pp.77-96
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• 2017

Purpose - This study aims to develop correspondence strategies to the environment change in domestic retail store types. Recently, new types of retails have emerged in retail industries. Therefore, trade area platform has developed focusing on the speed of data, no longer trade area from district border. Besides, 'trade area smart' brings about change in retail types with the development of giga internet. Thus, context shopping is changing the way of consumers' purchase pattern through data capture, technology capability, and algorithm development. For these reasons, the sales estimation model has been shown to be flawed using the notion of former scale and time, and it is necessary to construct a new model. Research design, data, and methodology - This study focuses on measuring retail change in large multi-shopping mall for the outlook for retail industry and competition for trade area with the theoretical background understanding of retail store types and overall domestic retail conditions. The competition among retail store types are strong, whereas the borders among them are fading. There is a greater need to analyze on a new model because sales expectation can be hard to get with business area competition. For comprehensive research, therefore, the research method based on the statistical analysis was excluded, and field survey and literature investigation method were used to identify problems and propose an alternative. In research material, research fidelity has improved with complementing research data related with retail specialists' as well as department stores. Results - This study analyzed trade area survival and its pattern through sales estimation and empirical studies on trade areas. The sales estimation, based on Huff model system, counts the number of households shopping absorption expectation from trade areas. Based on the results, this paper estimated sales scale, and then deducted modified probability model. Conclusions - In times of retail store chain destruction and off-line store reorganization, modified Huff model has problems in estimating sales. Transformation probability model, supplemented by the existing problems, was analyzed to be more effective in competitiveness business condition. This study offers a viable alternative to figure out related trade areas' sale estimation by reconstructing new-modified probability model. As a result, the future task is to enlarge the borders from IT infrastructure with data and evidence based business into DT infrastructure.

• 무역학회지
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• 제46권3호
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• pp.25-44
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• 2021

This paper analyzes the impact of the recent change in global value chain on the productivity of manufacturing sectors and firms in Chungnam area using ADB MRIO. Forward participation significantly increases sector productivity in Chungnam area and backward participation affects the sector productivity after 2015. In the analysis for firm productivity in Chungnam area, GVC participation does not enhance the productivity of firms in Chungnam area. However, firms in the top 25% of productivity in 2007 improved their productivity with higher GVC participation and the productivity of firms in the top 25% of asset in 2007 was positively affected by forward pariticipation and negatively affected by backward participation. The productivity of firms that were in international market in 2007 was significantly worsened by GVC participation.

• 산업진흥연구
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• 제1권2호
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• pp.129-136
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• 2016

South Korea and Mongolia are both the member countries of the World Trade Organization, but neither was the country with FTA. Nowadays, South Korea widely concludes the FTA with other countries, and the trade area has extended toward the neighboring continents and seas. Mongolia is a country with smallest economic entity but large in area and with abundant underground resources. And it's a main strategic zone of Eurasia. After the disintegration of the Soviet Union, Mongolia began to turn to market economy, and eagerly made effort to open and reform. With the expanse of trade and economy cooperation between South Korea and Mongolia, Mongolia started its sea road expanding. And the south Korea went to inland to get the necessary resources. Both of them feed its needs and obtain its profits.

• Spatial Information Research
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• 제18권1호
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• pp.11-17
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• 2010

본 연구에서는 상권분석의 정확도와 신뢰성 향상을 위해 대형할인점을 사례로 원형의 상권 범위 설정이 아닌 GIS와 도로의 연결성을 이용하여, 접근성이 고려된 현실성 있는 상권의 공간적인 범위를 결정할 수 있는 방법을 제시하고자 한다. 선행 연구에서 빈번하게 이용되는 원형의 상권은 접근을 방해하는 장애물이 있는 경우에도 상권의 공간적인 범위에 포함되는 문제가 있었지만 본 연구에서 제안한 방법을 적용하여본 결과, 장애물이 배제된 실질적인 접근성의 고려로 보다 현실적인 상권의 공간적인 범위 설정이 가능하였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2018년도 학술발표회
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• pp.153-153
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• 2018

Water-Energy-Food (WEF) nexus is a new holistic resources management concept that considers the interconnections among resources for sustainable resources planning and management. The current challenge is to fulfill the required demand in the lack of available resources. A traditional way to provide more available resource is by increase in production, but it caused increment of indirect demand of other interlinked resources. Importing resources from other area (where local supply is redundant) is another option to secure local resources with additional economic expenditure. The WEF nexus-trading model adapts the previously developed nationwide nexus simulation model with additional input parameters and functions to simulate trading scenarios. In general, the analysis starts with the quantification of local resources deficit (potential importing amount) and redundancy (potential exporting amount) of each area. Then, a trade module is initiated by determining possible donor area and importation amount. Finally, the nexus simulation for all area is re-run to determine final resources supply-demand results including the trading amount. The trade option provides an opportunity to meet local demands without draining local resources. However, the production capability of donor area may limit the importation amount. The newly developed trade option allows more alternatives for stakeholders to determine resources management plans.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.225-231
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• 2020

The paper aims to investigate the impact of trade integration on business cycle synchronization for the East Asian countries during 2005- 2017 based on the endogeneity hypothesis of Optimum Currency Area criteria. We test the determinants of business cycles by calculating bilateral trade, financial integration, and business cycle synchronization. Applying the system Generalized Method of Moments for dynamic panel data models, the results show that business cycle synchronization is highly associated with trade and financial integration. These findings confirm the endogeneity hypothesis that more trade integration will mitigate asymmetric shocks, and have a positive impact on the business cycle synchronization. The increased trade intensity and financial linkage lead to more correlated business cycles in East Asia. Apart from trade and financial integration, the trade structure differential, monetary policy similarity also influence the business cycle comovement. The significantly negative impact of trade structure differential on business cycle synchronization suggests that countries with less similar structures are more likely to undergo asymmetric shocks. The results also indicate that monetary policy matters for output comovement. This study recommends that the East Asian countries should focus on bilateral trade as well as financial integration with each other to reap benefits from the integration process.