• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.522-525
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• 2017

본 연구는 국내 각 과일별 재배 면적 및 해당 지역의 날씨 등의 데이터를 이용하여 실 생산량을 예측하고 각 과일별 경합관계를 적용하여 실제 수입 되는 과일의 수입량과의 상관관계를 분석하여 실제 가격을 예측하고자 한다. 본 결과를 통해 다변화 되는 국내 과일 시장에서 농업, 수입업에 대한 방향성 제시를 그 목적으로 둔다.

• Environmental and Resource Economics Review
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• v.8 no.2
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• pp.271-299
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• 1999

지난 1981년부터 해외석유개발사업이 시작된 이래 지금까지의 총투자비 약 24억 달러 중 에너지특별회계에 의한 정부지원금은 약 6억 달러로 전체 투자비의 25%를 차지한다. 이와 같은 정부지원에도 불구하고 1997년도의 개발수입량은 13.6백만 배럴로 국내 원유소비량의 1.6%에 불과한 실정이다. 2010년까지 국내 소요원유의 10%를 자주개발 원유로 공급한다는 정책목표를 설정한 정부는 최근 IMF사태와 구조조정 여파로 기업들이 해외석유개발사업에 대한 투자 우선순위를 낮추고 있다고 판단하고, 에너지 안보차원에서 석유를 안정적으로 확보하기 위해 지원방안을 모색중인 것으로 알려져 있다. 본 연구는 현행 성공불 융자의 사전적(事前的) 지원제도 대신 국내기업이 해외석유개발사업에 진출해 그 결과 국내에 도입하는 개발원유에 대해 단위당 일정금액을 지원하는 사후적(事後的) 지원제도를 대안(代案)으로 선택해, 이 제도하에서 개발수입률의 크기를 측정할 수 있는 수리적 모형을 설정하고, 이의 실증분석을 통해 개발수입목표율에 따른 정부지원금의 크기를 추정하여 제시하고 있다.

• Environmental and Resource Economics Review
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• v.31 no.4
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• pp.711-731
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• 2022

In Korea, nuclear power plants are major sources of electricity supply with relatively low costs. Despite the importance and scale of nuclear electricity generation, the Korean tax and levy system is less organized than those in other countries, such as France and Japan, where nuclear power plants also play significant roles for electricity supply. Countries impose tax on nuclear electricity generation roughly in three ways: tax on nuclear reactors; tax on uranium fuel; tax on electricity from nuclear power plants. The Korean government may consider taxing nuclear electricity generation based on uranium fuel or electricity generation. If taxing on uranium fuel at the rate of 90 KRW per milligram of uranium, the Korean government can collect additional tax revenue of 430 billion KRW. If taxing on electricity from nuclear power plants at the rate of 11 KRW per kilowatt-hour, the government can collect additional tax revenue of 1,600 billion KRW.

• Korean Journal of Food Science and Technology
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• v.4 no.3
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• pp.182-186
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• 1972

The possibility of substituting corn or barley for the wheat, one of the raw materials for soy sauce, was studied by measuring the amylase and proteolytic activities of koji. Also optimum conditions of koji making were determined. It was found that substitution of up to 60% of wheat content (of the total bean and wheat content) with corn, yielded good quality of soy sauce. It is also found that barley can substitute 70% of wheat content (35% of the total content).

• The Journal of Bigdata
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• v.3 no.2
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• pp.19-33
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• 2018

Owing to the increase of FTA, food trade, and versatile preferences of consumers, food import has increased at tremendous rate every year. While the inspection check of imported food accounts for about 20% of the total food import, the budget and manpower necessary for the government's import inspection control is reaching its limit. The sudden import food accidents can cause enormous social and economic losses. Therefore, predictive system to forecast the compliance of food import with its preemptive measures will greatly improve the efficiency and effectiveness of import safety control management. There has already been a huge data accumulated from the past. The processed foods account for 75% of the total food import in the import food sector. The analysis of big data and the application of analytical techniques are also used to extract meaningful information from a large amount of data. Unfortunately, not many studies have been done regarding analyzing the import food and its implication with understanding the big data of food import. In this context, this study applied a variety of classification algorithms in the field of machine learning and suggested a data preprocessing method through the generation of new derivative variables to improve the accuracy of the model. In addition, the present study compared the performance of the predictive classification algorithms with the general base classifier. The Gaussian Naïve Bayes prediction model among various base classifiers showed the best performance to detect and predict the nonconformity of imported food. In the future, it is expected that the application of the abnormality detection model using the Gaussian Naïve Bayes. The predictive model will reduce the burdens of the inspection of import food and increase the non-conformity rate, which will have a great effect on the efficiency of the food import safety control and the speed of import customs clearance.

• The Hankook-Saengyark Bo
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• no.244
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• pp.3-3
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• 2001

• The Hankook-Saengyark Bo
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• no.226
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• pp.3-3
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• 1998

• 월간낙농육우
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• s.170
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• pp.110-111
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• 1996

정부는 우리나라가 수입중인 사료곡물량이 EU국보다 많다는 점을 인식, 자급축산의 길을 닦고 모순된 법 제도개선에 보다 적극성을 보여야 한국낙농업이 경쟁력있는 산업으로 우뚝 설 것이다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.209-214
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• 2017

The purpose of this study is to identify the factors that led greenhouse grape farms to delay their heating periods after the coming into force of the Korea-Chile Free Trade Agreement (FTA). Panel data on the cropping (system) changes from 2004 through 2016 were used for the analysis. According to the panel logistic model, the estimated coefficient of the cultivation area was 0.0002, which was statistically significant at the 10% significance level, the estimated coefficient of grape imports was 1.4258, which was statistically significant at the 1% significance level, and the estimated coefficient of the regional dummy was 0.808, which was statistically significant at the 5% significance level. The results indicated that the use of wider cultivation areas, increase in grape imports, and colder climate(in the mid-northern part of Korea) increased the likelihood of delayed heating. The Korean government is offering direct payment programs and business closure support to the greenhouse grape farmers. While these actions can relieve the damage caused by the increase in grape imports, they will not provide the ultimate solution. Various support measures are needed, such as renewing the varieties to meet the changing demand of grape consumers, providing agricultural materials to reduce the heating expenses, and modernizing greenhouse facilities to improve the energy efficiency and reduce the costs.

• Journal of Food Hygiene and Safety
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• v.29 no.2
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• pp.152-157
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• 2014

This study was carried out to investigate the residual sulfur dioxide residues ($SO_2$) in commercial medicinal herbs in Korea in 2013. Among a total of 116 samples of 11 different kinds of herbs, 71 samples (11 Kinds) were domestic, and 45 samples (10 Kinds) were imported. The residual contents of $SO_2$ in the samples were determinated by a modified Monier-Williams method. Of the 116 samples, 6 samples (5.2%, 4 Kinds) failed to meet the regulations for sulfur dioxide residues of KFDA in medicinal herbs. Among 6 unsuitable samples, 1 samples (1.4%) were domestic, and 5 samples (11.1%, 3 Kinds) were imported. The highest amount of sulfur dioxide residues was 1546.3 mg/kg (Lycii Fructus) in the domestic samples. Regardless of region, $SO_2$ contents were not found at Anemarrhenae Rhizoma, Citri Unshius Pericarpium, Eucommiae Cortex, Forsythiae Fructus, Gardeniae Fructus, Leonuri Herba and Lonicerae Folium et caulis. These data will be used as a basic data for the future legislation on the regulation and control of sulfur dioxide of herbal medicines.