• The Journal of Fisheries Business Administration
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• v.47 no.4
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• pp.57-63
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• 2016

The purpose of this study was to raise some questions about the supply and demand statistics of fisheries products and to find implications for food supply and demand. There are three problems in the statistics of fisheries supply and demand. First, it is a structural problem of supply and demand statistics. Supply and demand statistics are not accurate because the feed, the amount of loss, and the waste rate are not surveyed. Second, the amount of fish used as a moist pellet is missing. Third, although some of the seaweed and kelp production is used as abalone feed, it is not classified as feed. Taking these results into consideration, at least 300,000 tons should be classified as feed for fisheries supply and demand statistics. As mentioned above, the current statistics on the supply and demand of fisheries are incomplete and structural improvement is needed.

• The Journal of Fisheries Business Administration
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• v.48 no.2
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• pp.19-32
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• 2017

The purpose of this study is to identify problems and suggest improvements of estimating procedures and item of fisheries supply-demand statistics served as a basis for the fisheries supply-demand policies. Korea Rural Economic Institute(KREI) and Ministry of Oceans and Fisheries(MOF) respectively publish the fisheries supply-demand statistics. But the reliability of data is low as the statistics of these two organizations are limited and show discrepancy in the numbers. It is therefore difficult to use them as the basic data for policies. Also, an accurate data aggregation is difficult due to following problems in the items of statistics. 1) Problems in estimating route sales and non-route sales of production, 2) adequacy of fishery product yield rate compared to raw material in the fisheries import/export sector, 3) selection of target companies for understand stocks and survey scope of fish species, 4) applying'0'to non-edible product demand etc. In order to develop the fisheries industry as a future growth industry, it is necessary to establish the accurate fisheries supply-demand policy as the instability of fisheries supply and demand is increasing. To do this, statistical reliability has to be improved. The improvements proposed in this study should be implemented considering urgency. First of all, an exhaustive analysis of stock statistics and conversion rates of raw material yield in the fisheries import/export sector should be conducted. In the medium term and the long term, transferring production statistics to MOF and surveys on the use demand of non-food product and the level of reduced and discarded seafood products should be carried out in consecutive order.

• The Korean Journal of Food & Health Convergence
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• v.3 no.1
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• pp.1-7
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• 2017

The study has made theoretical system by thesis journals at home and abroad, material of the Association of Convenience Store Industry of Korea, materials of Statistics Korea and reference books. First, the study examined convenience store's brand image, cognized value, quality level, reliability upon brand, structural relation of purchasing intention, and designed models and theses. Second, the first questionnaire consisted of test items of precedent study, and inspected in advance to inspect reliability and appropriateness, and made correction and supplemented problems. Third, SPSS and AMOS statistics were used to conduct empirical analysis and to find out conclusion and implications. In this study, the subject was consumers who visited local convenience stores such as GS25, Seven Eleven and CU last 3 months to buy PB food. Consumers' consumption pattern and culture made change to be reasonable and practical owing to aging society, nuclear family, women's entering into the society, one person household consumer, and convenient and prompt buying to make different consumption pattern and to make change of commodity distribution pattern. Convenience store took action against change of the trend to expand business area by new distribution channels to get another growth source. Private brand (PB) food that was distributor's brand was expanded. The PB product has been competitiveness of food service industry.

• Journal of the Korean Home Economics Association
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• v.43 no.11 s.213
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• pp.225-234
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• 2005

The objective of this study was to develop a model for predicting Korean adult consumers who frequently eat food-away-from-home. A total of 7,032 adults aged 19 years and older from the 2001 National Health and Nutrition Survey in Korea were used as subjects. The data were analyzed using a data mining procedure including logistic regression and decile analysis. The model developed in the study was proven to be valid in predicting the consumers who frequently eat food-away-from home(once a day or more often). This model showed that consumers eating food-away-from-home frequently tend to be younger men, living in a big city, working full time, receiving more stress and eating snacks and fried food more frequently. The model could be used to identify targets for nutrition and related education and consumer segments for the marketing of restaurant businesses.

• Asian-Australasian Journal of Animal Sciences
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• v.2 no.3
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• pp.284-286
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• 1989

• Journal of Nutrition and Health
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• v.54 no.3
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• pp.239-246
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• 2021

Purpose: Previous studies have reported the difference in nutritional status between South and North Korean infants and young children (IYC). Clear understanding on the nature of such differences is essential for planning food and nutrition policies and programs to prepare for a possible re-unification of the two Koreas in future. This study was undertaken to yield valid statistics comparing the nutritional status between North and South Korean IYC. Methods: Raw data obtained from the 2017 Korean National Growth Chart and the 2013-2017 Korea National Health and Nutrition Examination Survey were analyzed to determine the comparable statistics that include weight for age z-score (WAZ), height for age z-score (HAZ) and weight for height z-score (WHZ), with data reported in the Survey Findings Report of the 2017 DRP Korea Multiple Indicator Cluster Survey. The average weight and height by gender and month were estimated for North Korean IYC and calculated for South Korean IYC. SPSS analysis was applied to evaluate the acquired statistics and compare the nutritional status of South and North Korean IYC. Results: WAZ, HAZ and WHZ of North Korean IYC were observed to be lower than values obtained for South Korean IYC as well as the median values of World Health Organization Child Growth Standards across all ages. Similar patterns were observed for average height and weight. The nutritional status of North Korean IYC revealed a prevalence of highly underweight (9.3%), stunting (19.1%) and wasting (2.5%) values, and was determined to be significantly lower than values obtained for South Korean IYC (0.8%, 1.8%, and 0.7%, respectively). Conclusion: This study has yielded valid statistics that compare the nutritional status of North and South Korean IYC. Results of this study confirm the prevalence of nutritional status difference between South and North Korea.

• Journal of the Korean Data and Information Science Society
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• v.19 no.4
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• pp.1449-1463
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• 2008

This paper considers three different models with two functional forms, Cobb-Douglas and Translog, for the stochastic frontier production function of food manufacturing industry of Bangladesh over the period 1981-1982 to 1999-2000. The models are proposed by Battese and Coelli (1992, 1995) and Huang and Liu (1994). The technical efficiency, total factor productivity, technological change and technical efficiency change have been estimated in the frontier models. The results indicate that 41.47%, 59.30% and 70.98% of the potential output are being realized in this sector. The mean increments in total factor productivity are approximately 2%, 9% and 4% respectively.

• Journal of Nutrition and Health
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• v.51 no.2
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• pp.199-200
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• 2018

• Journal of Food Hygiene and Safety
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• v.24 no.1
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• pp.63-68
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• 2009

The statistics probability approach for microbial risk assessment (MRA) has been recognized as an efficient method because this probability approach, which can be presented the diversity, variability, and uncertainty for the environmental factors of food processing, provide better realistic results than point estimate. This study was conducted to determine of probability statistics for the environmental factors of the pork-cutting processing i.e. the processing time, the pork meat temperature, and processing room temperature etc. As the input parameters for the MRA, triangular distribution and normal distribution were selected as an efficient probability distribution model, these distributions were analyzed by the simulation. The simulation results showed the processing time estimated 53 min as mean (5% - 22 min and 95% - 98 min), pork meat temperature estimated $4.83^{\circ}C$ as mean (5% - $2.25^{\circ}C$ and 95% - $7.12^{\circ}C$, 48.78% exceed $5^{\circ}C$), and processing room temperature estimated $17^{\circ}C$ as mean (5% - $10.92^{\circ}C$ and 95% - $22.56^{\circ}C$, 71.178% exceed $15^{\circ}C$).

• The Korean Journal of Applied Statistics
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• v.26 no.6
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• pp.923-932
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• 2013

This paper proposes a method to predict the number of foodborne disease outbreaks by microbes. The weekly data of food poisoning occurrences by microbes in Korea contain many zero-valued observations and have dependency between outbreaks. In order to model both phenomena, the number of food poisonings is predicted by an autoregressive model and the probabilities of food poisoning occurrences by microbes (given the total of food poisonings) are estimated by the baseline category logit model. The predicted number of foodborne disease outbreaks by a microbe is obtained by multiplying the predicted number of foodborne disease outbreaks and the estimated probability of the food poisoning by the corresponding microbe. The mean squared error and the mean absolute value error are evaluated to compare the performances of the proposed method and the zero-inflated model.