• Journal of Korea Port Economic Association
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• v.36 no.4
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• pp.107-120
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• 2020

This study analyzed the competitiveness of major export industries following the FTA between Korea and five Central American countries. Findings revealed that Korea mainly exports industrial products such as ships, automobiles and parts, steel, and electronic devices, and it imports raw materials and agricultural products such as coffee and copper, indicating a complementary trade structure. Similarly, the trade specialization index analysis revealed that Korea specialized in exporting industrial products such as ships, automobiles, steel, and machinery, and in importing primary products such as copper and coffee. Products such as ships, steel, and machinery, which are major export items to Central America, are expected to further strengthen their competitiveness due to tariff cuts. In addition, it is expected that the demand for medicines and medical supplies could increase in future due to the COVID-19 pandemic. This study attempted to present implications for establishing export strategies by analyzing the competitiveness of Korea's major export industries in the Central American market, in accordance with the Korean-Central American FTA. These findings could be used as basic data for future entry into South America as a bridgehead in the Central American market.

• International Commerce and Information Review
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• v.16 no.4
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• pp.247-261
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• 2014

In this study, it investigates the highly controversial issue "low carbon car subsidy". Through the policy's intent, purpose, and necessity, it aims to present alternatives for automotive industry development. Introducing the low carbon car subsidy will bring a huge change to the vehicle purchase practices by changing vehicle purchase cost. It expects that this change will reduce greenhouse gas emission from vehicles. For successful settlement of the system, it shall set up the target sections for subsidy and levy appropriately in order to get the nation's consensus. Additionally, it has to conduct sufficient reviews the measures such as adjustment to the existing auto tax, divided payments of burden charge, etc before enforcing the system. In terms of the automobile industry, it must do their level best in technical development in order to meet the carbon dioxide emission level of imported cars until the enforcement. Also, the government has to strengthen its support to the industry.

• Environmental and Resource Economics Review
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• v.4 no.2
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• pp.197-221
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• 1995

본 논문에서는 산업연관 분석모형을 이용하여 1980년대 수출산업에서의 유가변화의 산업별 파급효과를 분석하고, 1990년대 유가 파급효과를 추정하여 보았으며, 1980년대 산업별 물가상승 요인을 계측하여 1970년대 물가상승요인과 비교분석하여 보았다. 1980년대 상반기의 유가 파급효과가 큰 산업은 석유제품과 에너지 다소비 품종인 화학, 비금속 광물, 전기가스수도, 철강, 금속 등으로 나타났으며 대부분의 산업은 유가인상율의 5% 내외의 인상효과를 나타내었다. 유가 인하기였던 1980년대 하반기에도 인하효과는 산업별로 상반기와 비교할 때 큰 차이는 없었으나, 기계, 전기, 전자통신, 자동차 등 주요 수출산업의 가격인하 효과는 그다지 크지 않은 것으로 분석되었다. 저물가 시대였던 1980년대의 주요 물가변화 요인으로는 임금 등 부가가치 및 원유가격의 변화로서 1970년대와 큰 차이가 없었으나, 중간재 수입가격, 수입계수 및 수업률 변화의 물가변화 기여도는 아주 작아서 1970년대와는 다른 양상을 보였다. 한편 1990년대의 유가파급효과 추정을 위한 모의실험 결과를 보면, 1980년대와 마찬가지로 석유관련 제품의 가격인상 효과가 두드러지겠지만, 1970년대와 1980년대에 비해서 유가파급효과는 상대적으로 낮을 것으로 추정되어 수출산업의 가격경쟁력은 임금, 기타 원자재 가격 등 여타 물가인상 요인에 더 영향을 받을 것으로 예상된다.

• The Journal of Information Systems
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• v.30 no.2
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• pp.105-126
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• 2021

Purpose The purpose of this study is to implement a optimal machine learning model about the cancellation prediction performance in car sales business. It is to apply the data set of accumulated contract, cancellation, and sales information in sales support system(SFA) which is commonly used for sales, customers and inventory management by imported car dealers, to several machine learning models and predict performance of cancellation. Design/methodology/approach This study extracts 29,073 contracts, cancellations, and sales data from 2015 to 2020 accumulated in the sales support system(SFA) for imported car dealers and uses the analysis program Python Jupiter notebook in order to perform data pre-processing, verification, and modeling that is applying and learning to Machine learning model after then the final result was predicted using new data. Findings This study confirmed that cancellation prediction is possible by applying car purchase contract information to machine learning models. It proved the possibility of developing and utilizing a generalized predictive model by using data of imported car sales system with machine learning technology. It can reduce and prevent the sales failure as caring the potential lost customer intensively and it lead to increase sales revenue by predicting the cancellation possibility of individual customers.

• Journal of the KSME
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• v.29 no.6
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• pp.573-580
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• 1989

현재 한국의 자동차 공업은 80년대 초반부터 급격한 발전으로 세계의 다른 자동차 생산국으로부 터 경계의 대상이 되고 있다. 그러나 그 내면을 살펴보면 아직도 중요한 기술은 거의 대부분 일 본이나 독일, 미국 등 자동차 선진국의 기술에 의존하고 있으며 특히 엔진 분야는 대부분 외국 기술에 의존하고 있다고 해도 과언이 아니다. 엔진은 자동차 생산원가의 약 30%를 차지하며 자동차의 성능을 좌우하는 경우 기술료 지급은 물론이며 부품구매 선택의 여지가 없어진다. 또한 요즈음과 같이 상품의 수명주기가 짧게 되어 가는 추세 하에서는 시장의 요구에 대처해나가는 엔지니어링 적응력이 부족하게 되면 결국 경쟁성을 상실하게 된다. 그러나 이러한 문제점을 인 식하면서도 80년대 초까지 독자적인 엔진개발을 하지 못했던 원인은 크게 2가지로 분석할 수 있다. 첫째는 한국의 자동차 회사들의 기술 축적의 미약과 둘째는 독자개발의 낮은 투자효율성 이다. 즉 엔진과 변속기를 기술 도입할 때 기술료 지급은 자동차 생산댓수당 5-6만원에 달하지만 엔진과 변속기를 독자개발시의 투자비는 약 300-500억원에 달하므로 간단한 산술적 계산으로는 모델당 100만대를 생산하여야만 투자의 가치가 있는 것으로 보여진다. 물론 위에서 언급한 바와 같은 여러 가지 요인에 의하면 이 숫자보다 훨씬 적은 생산량으로도 경쟁성이 확보될 것으로 예상된다. 이제 한국의 자동차 생산량도 연간 백만 대를 상회하는 수준이며 앞으로도 급격한 양과 질적인 팽창이 기대되고 있는 시점에 자동차 메이커들은 각사 모두 독자적인 고유 엔진 개발을 착수하였으며 일부 회사는 이미 성공을 거두어 양산 준비를 하고 있는 것으로 알고 있다. 그러나 아직도 엔진의 설계부터 양산까지 걸리는 기간이 타 선진 메이커에 비하면 상당히 길며 이로 인해 신제품의 경쟁력 저하가 우려되고 있는 상태이다. 이러한 문제점 해결에 도움을 주기 위해서 학계는 기업체의 기술 개발방향과 전략을 이해하는 것이 필요하다.grightarrow$cn-semistratifiable over$\longrightarrow$semistratifiable over $\alpha$ 2, 어떤 공간이 cn-Semistratifiable over $\alpha$이기 위한 필요충분 조건은 그것이 linearly cushioned cn-pairnet를 갖는 것이다. 3. cn-semistratifiable over $\alpha$의 부분공간 역시 cn-semistratifiabie over $\alpha$ 하다. 4. on-semistratifiable over $\alpha$의 유한개의 적공간 역시 cn-semistratifiabie over $\alpha$한다. 5. 폐 cn-semistratifiable over $\alpha$ 부분공간들의 합공간 역시 on-semistrbtifiable over $\alpha$ 하다. 6. 폐연속 net-cevering 함수에 의하여 cn-semistratifiable over $\alpha$ 성질이 보존된다. 보잘것이 없었고, 현재에도 각 시도별 또는 대학주관의 경시대회가 있으나 거국적인 호응을 받지 못했다. 물론 국제 대회에 참석시키는 것은 엄두도 내지 않았다.로 나타났다. 4. 코코넛과 소나무수피의 경우 암모니아 가스에 대한 흡착 능력은 거의 비슷한 것으로 사료되며, 코코넛의 경우 전량을 수입에 의존하고 있다는 점에서 국내 조달이 용이하며, 구입 비용도 적게 소요되는 소나무수피를 사용하는 것이 경제적이라고 사료된다. 5. 마지막으로 악취제거 미생물균주를 접종한 소나무수피 50%와 펄라이트 30%의 혼합재료를 24시간 동안 장기간 운전 실험을 수행한 결과 암모니아 99.06%, 황화수소 96.61%의 제거

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.12-23
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• 2021

Due to high proportion of exports, Korea has a higher dependence on the global value chain (GVC) than other major developed countries. This reason, Korea has a structure that is sensitive to GVC changes. This is because Korean exports are concentrated on specific countries and items, and most of the materials for export tend to depend on imports. Currently, export restrictions resulting from trade disputes with Japan can affect the industry of Korea as a whole due to the supply of core materials. Therefore, in order to minimize economic damage caused by export regulations in the current situation, it is necessary to reorganize the GVC, through efforts to rapidly diversify imports and localize imports that depend on Japan. To this end, it is necessary to derive and classify imported goods that depend on Japan, and to localize items that are difficult to diversify imports, and prompt R&D investment is required for this. This study aims to support R&D investment policy through quantitative analysis based on big data rather than a decision-making method based on expert-centered qualitative analysis.

• Journal of Energy Engineering
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• v.20 no.2
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• pp.109-122
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• 2011

The production capacity of EV models should be sufficient to achieve the goal of one million EVs by 2015. Large-Format lithium-ion battery are expected to find a prominent role as ideal electrochemical storage systems in traction power train for sustainable vehicles such as all-electric vehicles. This review focuses first on the present status of production lithium-ion battery technology and cooperative relations of between battery and EV makers, then on its near future development.

• Journal of Environmental Policy
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• v.14 no.4
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• pp.23-44
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• 2015

The policy aimed at introducing a Bonus-Malus system to reduce GHG and raise the market share of small cars is scheduled to go into effect in South Korea in 2020. Although the policy was originally planned to be enforced from 2015, the Ministry of Trade, Industry and Energy argued that the system brings low reduction effect and relative disadvantage to domestic small cars and brought arguments in 2014. As a result, the enforcement was pushed back. Related studies are mainly focused on offering statistical estimation of the policy's effect to support the arguments, and few theoretical studies were published given that there was not enough time until 2015 back then. The author approached the issue with mathematical modeling in order to give theoretical basis for sophisticated empirical studies. If car suppliers have market power and strategically set their prices, the impact of Bouns-Malus on car prices would be lower than what was originally intended. In case only a part of the car market loses its market power, the effect of the policy would be improved. Assume that the Bonus-Malus is currently at an optimal level and the car market structure is undergoing changes, then the direction of the new optimal level would depend on the elasticity of demand of each market and substitute elasticity. For example, if the car market becomes more monopolistic while the demand for big cars is elastic, demand for small cars is inelastic and substitution elasticity is low, then the new optimal level of Bonus-Malus should be higher.

• Resources Recycling
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• v.23 no.2
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• pp.3-16
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• 2014

Car exhaust $CO_2$ gas reduction and fuel efficiency of the car lighter for the current era is a big challenge. The developments of high-performance Nd magnets, Li-ion secondary battery and exhaust gas purification performance of PGM catalysts used in the lightweight EV and HEV are activated. Country in order to improve the car lighter and function that use the resources of rare metals are ubiquitous imported from China because of export supply control, as soaring prices have unstable supply and demand. Compared to the emissions from the next-generation automotive recycling, waste scarce resources need to be. This study investigated the recycling technology analysis and development of the information technology, or delivered to the researchers by giving national car industry aims to contribute to the development. Findings, pulmonary high-performance motor vehicle emissions in the exhaust gas purification PGM Catalysts, Li-ion battery and Nd magnets recycling technology, such as pre- and post-processing techniques to classify technology, pre-urban mining technology mechanical separation by screening techniques under development, the study and post-processing technology has, pyro and hydro metallurgical smelting technology is established. Waste Recycling in terms of economic efficiency of mechanical components for the intensive study of screening techniques is needed.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.97-109
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• 2017

Domestic vehicle penetration rate is growing at 3% per year, but consumers are increasingly buying used cars due to steady price hikes Nevertheless, the used car export market is expected to decline due to import regulations of major countries and the low grade environment of Used car export complex. Therefore, this study using Fuzzy-AHP was aimed to find operational factors of Used car logistics complex and establish a practical management plan of Used car logistic complex in incheon port. Fuzzy-AHP is the method that can be calculated weight of multi-level criteria and change linguistic ambiguity of human to Fuzzy Number. So it's able to propose the realistic decision making alternatives. As a result of the literacture reviews, present study focused on the analysis of the present situation of the logistics of the used car and the activation of the complex, suggested the activation plan and activation of the logistics complex. In the analysis of operational factors, logistic complex cost factors were found to be the most important factors by recording the weighted value of 0.306 in the above factors. The detailed factors were as follows: rent, accessibility, and logistics site size. It is necessary to compute competitive rent for the highly-advanced used car logistics complex, and to realize the rental support policy and to consider designating the free trade zone. In addition, it is necessary to expand the access infrastructure and secure the scale of the company for overseas buyers, and it is necessary to improve the overall government laws and introduce IT system for the future.