• Journal of Dairy Science and Biotechnology
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• 제28권1호
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• pp.1-7
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• 2010

In 2009, the world dairy industry had the most impressive experience throughout all the experiences it had. The milk price in major regions fell to their lowest level for decades. Including Korea, the world economy is obviously slowing. The nations' export plunged due to the global economic recession, in result reduced industrial output and domestic demand. In Korea, the intake of liquid milk slightly decreased from 45 kg per capita in 2005 to 44.3 kg per capita in 2008. However, production and consumption of milk increased fast in China and India. According to 2008 statistics, total milk volume of the world trade reached 42 million tonnes and the major exporters of dairy products were EU, New Zealand, USA and Autralia. The tropical countries has traditionally consumed buffalo milk. The production of buffalo milk is increasing faster than cow milk. IDF expected that EU milk production would recover the medium term displaying a gradual growth over the milk quotas phasing-out period, while constantly remaining below the quota level.

• Asian Journal of Business Environment
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• 제8권4호
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• pp.37-44
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• 2018

Purpose - The artificial intelligence industry plays an increasingly significant role in stimulating the development of United States of America's economy. On account of this background, this paper attempts to explore the impact of artificial intelligence industry on United States of America's macroeconomy. Research design, data, and methodology - This paper mainly focuses on the impact of artificial intelligence industry on GDP, employment, real income, import, export and foreign direct investment. Furthermore, the Phillips-Perron test and Canonical cointegrating regression will be employed to examine the impact of artificial intelligence industry on United States of America's macroeconomy with a sample form 2010-Q1 to 2017-Q4. Results - Via the empirical analysis, the results reveal that the artificial intelligence industry has a positive effect on United States of America's GDP, employment, real income, export and foreign direct investment. Conversely, the artificial intelligence industry has a negative effect on United States of America's import. Conclusions - In summary, the impact of artificial intelligence industry on United States of America's macroeconomy is positive and significant in statistics. Therefore, the government of United States of America should put more input into artificial intelligence industry.

• 한국생활과학회지
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• 제21권5호
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• pp.837-848
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• 2012

This study evaluated the types of daily routines that occurred in child care centers based on four general categorizations: time spent on indoor free choice activities, outdoor activities, group activities and special activities. In addition, resulting child care teacher behaviors were examined based on daily routine types. A total 23 classes' activity times and teacher behaviors were observed. The collected data were analyzed using descriptive statistics, hierarchical cluster, and Mann-Whitney U. Results indicated that there were 2 principle daily routine, 'indoor/outdoor activity time oriented' and 'group activity time oriented'. Analysis showed that teachers who belonged to the 'indoor/outdoor activity time oriented' type showed more positive affect, positive guidance, neural guidance, and less non-involved behavior. Results suggest the importance of time spent on free choice activities in the context of daily routine for quality childcare.

• 유통과학연구
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• 제18권5호
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• pp.49-60
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• 2020

Purpose: The primary objective of this research is to propose answers of rider's accident of food retailer in South Korea, in view of business sustainability of food retailer and his precious fate of rider who is a father that has a responsibility to the family. Research design, data, and methodology: We investigated previous studies such as food retailer, delivery, delivery application of mobile, rider's accident and statistics of delivery business agency, motorcycle accident ratio, annual fatalist, and further we analyzed cases of rider's accidents. Results: Rider's accident on the road toward food retailer is serious risky factor to their business reputation, corporate image, because claim amount related to death and physical/mental disability can be heavily damaged to food retailer. The point when rider dies is that rider is a person responsible for supporting his/her family, that is, a life itself issue together with downfall of family. Conclusions: In view of growth of South Korean' delivery rider industry, the authors recommended that focus of stability and sustainablity of both food retailer and delivery rider should establish to executable and practical ideas such as rider's readiness, abandon of speed guarantee, duty of delivery app business and legal aids.

• 기술혁신연구
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• 제17권1호
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• pp.205-221
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• 2009

1990년대 중반이후 한국의 문화산업콘텐츠 수출이 증대되는 "한류" 현상이 대두되어 세계적인 주목을 받기 시작하였다. 그러나 전통적인 문화산업 무역이론은 이러한 후발국으로부터 문화상품의 수출을 설명하지 못한다. 본 연구에서는 Becker의 소비자본이 기호의 형성에 기여할 뿐만 아니라 생산성의 향상에 기여하는 인적자본으로서의 속성을 지니고 있다는 점을 이용하여 문화산업에서 후발국의 "기술추격"을 합리화하는 이론모델을 제시하고 있다(rationalize), 본 연구는 공식모델의 비교정태 분석을 통하여 문화산업에서 후발국의 "기술추격"을 가능하게 하는 조건들을 설명하고 있다.

• 통상정보연구
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• 제15권2호
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• pp.365-383
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• 2013

FTA 체결국 제품의 관세인하로 수입증가 효과가 발생하며, 또한 관세가 인하됨으로써 국내소비자 가격이 하락함으로써 소비자의 후생이 증대하고 있다. 그러나 소비자에게 관세인하분 만큼의 후생이 소비자에게 전환되어야 함에도 불구하고 가격변동이 없으며, 오리려 가격이 상승하고 있는 현상이 발생하고 있다. 본 연구는 인구통계학적 툭성인 성별, 연령별, 직업별로 FTA 체결 국가의 제품구매와 FTA 체결국 제품의 구매이유를 분석한 후, 이들 항목을 중심으로 소비자후생을 분석하여 통상정책적 측면에서 시사점을 제공하고자 한다. 연구에서 나타난 바와 같이 FTA 체결국가에 제품의 후생수준을 분석한 결과 대체적으로 보통이다는 결론을 많이 나타났으며, 성별, 연령별, 직업별로 분석한 결과 약간의 차이는 있지만 전반적으로 동일한 후생수준을 나타나고 있다는 것을 알 수 있다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 1996년도 The Korean Institute of Navigation 1996년도 춘계학술발표회 논문집
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• pp.59-76
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• 1996

Vessels in the world merchant fleet generally operate in either liner or bulk trade. The supply and the demand trend of general cargo ship are both on the ebb however those trend of tankers and containers are ins light ascension. Oil tankers are so far the largest single vessel type in the world fleet and the tanker market is often cited as a texbook example of perfect competition. Some shipping statistics in recent years show that there has been a radical fluctuation in spot charter rate under easy charter's market. This implies that the proper scheduling of tankers under spot market fluctuation has the great potential of improving the owner's profit and economic performance of shipping. This paper aims at developing the TS-DSS(Decision Support System for Tanker Scheduling) in the context of the importance of scheduling decisions. TS-DSS is defined as a DSS based on the optimization models for tanker scheduling. The system has been developed through the life cycle of systems analysis design and implementation to be user-friendly system. The performance of the system has been tested and examined by using the data edited under several tanker scheduling has been tested and examined by using the data edited under several tanker scheduling scenarios and thereby the effectiveness of TS-DSS is validated satisfactorily. The authors conclude the paper with the comments of the need of appropriate support environment such as data-based DSS and network system for successful implementatio of the TS-DSS.

• 농촌지도와개발
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• 제22권4호
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• pp.423-434
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• 2015

This paper predicts the onion's cultivation areas, yields per unit area, and wholesale prices during ship dates by using wholesale price data from the Korea Agro-Fisheries & Food Trade Corporation, the production data from the Statistics Korea, and the weather data from the Korea Meteorological Administration with an ARDL model. By analyzing the data of wholesale price, rural household income and rural total earnings, onion cultivation areas in 2015 are estimated to be 21,035, 17,774 and 20,557(ha). In addition, onion yields per unit area of South Jeolla Province, North Gyeongsang Province, South Gyeongsang Province, Jeju Island, and the whole country in 2015 are estimated to be 5,980, 6,493, 6,543, 6,614, 6,139 (kg/10a) respectively. By using onion production's predictive value found from onion's cultivation areas and yields per unit area in 2015, the onion's wholesale prices in June are estimated to be 780 won, 1,100 won, and 820 won for each model. Predicted monthly price after the onion's ship dates is analyzed to exceed 1,000 won after August.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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• pp.3095-3111
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• 2018

Spectrum sensing (SS) is one of the fundamental tasks for cognitive radio. In SS, decisions can be made via comparing the test statistics with a threshold. Conventional adaptive algorithms for SS usually adjust their thresholds according to the radio environment. This paper concentrates on the issue of adaptive SS whose threshold is adjusted based on the Markovian behavior of primary user (PU). Moreover, Bayesian cost is adopted as the performance metric to achieve a trade-off between false alarm and missed detection probabilities. Two novel adaptive algorithms, including Markov Bayesian energy detection (MBED) algorithm and IMBED (improved MBED) algorithm, are proposed. Both algorithms model the behavior of PU as a two-state Markov process, with which their thresholds are adaptively adjusted according to the detection results at previous slots. Compared with the existing Bayesian energy detection (BED) algorithm, MBED algorithm can achieve lower Bayesian cost, especially in high signal-to-noise ratio (SNR) regime. Furthermore, it has the advantage of low computational complexity. IMBED algorithm is proposed to alleviate the side effects of detection errors at previous slots. It can reduce Bayesian cost more significantly and in a wider SNR region. Simulation results are provided to illustrate the effectiveness and efficiencies of both algorithms.

• The Journal of Asian Finance, Economics and Business
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• 제7권5호
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• pp.111-118
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• 2020

This paper examines the impacts of credit on income inequality in Vietnam. Though it is one of the most common measures of financial development, there is a dearth of research in this area. Unlike previous studies, the paper disaggregates the impact of each type of credit on income inequality, looking at the Gini coefficient. We employ the Generalized Method of Moment (GMM) to solve the endogenous problem. The primary data set contains a panel of 60 Provincial observations, from data collected from the General Statistics Office of Vietnam from 2002 to 2016. The empirical findings show that, while commercial credit increases income inequality, policy credit contributes to reducing income inequality in Vietnam. The results also confirm the important roles of education, institutional quality and foreign direct investment in fighting against income inequality in Vietnam. However, the paper does not provide adequate evidence to support the inverted U-shaped relationship between credit and income inequality. Based on the findings, we argue that the government should direct flows of credit to real economic activities rather than speculative investment; more bank credit should be allocated to rural areas and agriculture; and favorable credit programs should be designed to promote education, especially of those living in rural areas.