• Journal of Dairy Science and Biotechnology
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• v.27 no.1
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• pp.29-35
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• 2009

To focus attention on milk and dairy products, we celebrate World Milk Day on the first day of June. Milk is a primary source of essential nutrients for newborn mammals, including humans. Milk and its by-products have been integral to human life since domestication of the dairy cow. Even though a large portion of the population is lactase impersistent, consumption of dairy products, including liquid milk, has been increasing over the last decade in Korea. Per capita annual consumption of dairy products in Korea increased to 61.3 kg in 2008, up from 49.4 kg in 1998. However, consumption of liquid milk has only increased marginally from 30.3 kg in 1998 to 35 kg in 2008. In 2007, the price of farm milk in Korea was the highest in the world. High dairy prices are forcing major manufacturers to find alternative, less expensive sources of milk, which has led to an increase in imported dairy products. Recently, the International Dairy Federation (IDF) published a special report containing the figures for world milk production, milk processing, and consumption. Understanding the current situation with regard to world diary production and the outlook for the industry could be useful during the present world economic crisis. The authors of this brief review summarize the status of dairy production in countries throughout the world, including Korea, along with some of the data published in the IDF annual report. The authors greatly appreciate the support of IDF Korea and the IDF for generously providing the data used in this paper.

• Smart Media Journal
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• v.12 no.5
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• pp.65-72
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• 2023

Smart Farm means creating new value in various fields related to agriculture, including not only agricultural production but also distribution and consumption through the convergence of agriculture and ICT. In Korea, a rental smart farm is created to spread smart agriculture, and a smart farm big data platform is established to promote data collection and utilization. It is pushing for digital transformation of agricultural products distribution from production areas to consumption areas, such as expanding smart APCs, operating online exchanges, and digitizing wholesale market transaction information. As such, although agricultural data is generated according to characteristics from various sources, it is only used as a service using statistics and standardized data. This is because there are limitations due to distributed data collection from agriculture to production, distribution, and consumption, and it is difficult to collect and process various types of data from various sources. Therefore, in this paper, we analyze the current state of domestic agricultural data collection and sharing for digital agriculture and propose a data collection and linkage method for artificial intelligence services. And, using the proposed data, we propose a deep learning-based environmental factor recommendation method.

• Korean Journal of Organic Agriculture
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• v.15 no.1
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• pp.43-58
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• 2007

This study was carried out to present the measures for the stable environment-friendly rice's production, farm income increase and consumption revitalization and so on by analyzing economic effects of the environment-friendly rice's production complex by certification type, cultivation type and distribution type. Data were collected from the environment-friendly rice's production complex in Kyunggi, Kangwon, Chungnam and Chunnam provinces. Survey was conducted with sorted by organic and no-pesticide farming. Of the samples 5 types of organic farming and 4 types of no-pesticide farming were surveyed in 17 and 18 complex, respectively. The farmers income of organic and no-pesticide farming per 10a were individually about $29{\sim}68%$ and 50% higher than the conventional farming. Base on the above results, the reasonable measures fur the stable environment-friendly rice's production and distribution and consumption revitalization were to secure partnership among business, universities, government and research institutes sectors, to organize farmers group and production complex, to establish RPC for environment-friendly rice and to introduce certification system for the distribution dealers.

• Journal of Distribution Science
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• v.12 no.11
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• pp.67-76
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• 2014

Purpose - PB (Private Brand) refers to the product for which the distribution company plans the production independently, consigns the production to the manufacturer, or attaches the self-developed trademark and sells it. To reinforce competitiveness in such a market environment, diverse products development, systematic management activities, and marketing efforts to analyze and understand the consumers' behavior regarding PB products are emphasized. Therefore, this study aims to investigate the relationships among PB product attributes, consumption emotion, brand attitude, and brand loyalty in general supermarkets. First, PB product attributes were defined using the five categories of perceived price, store image, familiarity, perceived service, and perceived quality, based on preceding studies. This study examined the influence of PB product attributes on consumption. Further, this study examined the relation among consumption emotion, brand attitude, and brand loyalty. This study provides more detailed and concentrated strategic implications. Research design, data, and methodology - In this study, the research model was designed to examine the relation among PB product attributes, consumption emotion, brand attitude, and brand loyalty. For the data collection method, the questionnaire survey comprised multiple items for each component and the direct interview method was employed. To collect data, the questionnaire survey was conducted for customers who personally visited the general supermarket after verifying the PB product purchase experience. The questionnaire survey was performed for one month, May 2014. A total of 300 questionnaires were distributed and 240 questionnaires were used for the analysis, excluding the unanswered and insincere questionnaires. The data were analyzed using SPSS ver. 20.0. Results - First, PB product attributes had a significantly positive effect on consumption emotion. The PB product attributes perceived by the customer at the point of service contact are important to form the positive consumption emotion. Second, consumption emotion had a significantly positive effect on brand attitude. Third, the consumption emotion had a significantly positive effect on brand loyalty. Such consumption emotion is an important factor in causing the positive evaluation on the brand attitude perceived by the customer. Fourth, brand attitude had a significantly positive effect on brand loyalty. The consumption emotion was positively represented to invoke the relational continuance behavior. The relational continuance behavior accompanies the repetition of purchase, word of mouth, and recommendation activities, and influences trust regarding the brand, for which the customer maintains the transaction continuously. Conclusions - The PB product attributes perceived by the customer at the point of service contact are important factors to form the positive consumption emotion. Based on this result, the discount store service provider would prepare the measures that can make the customer recognize the positive value, and make more detailed efforts. Consumption emotion is an important factor to cause the positive evaluation on the brand attitude perceived by the customer. Based on this result, the general supermarket must make efforts to provide fun or convenience in the purchase process for consumers.

• Journal of the Korean Applied Science and Technology
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• v.11 no.2
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• pp.39-54
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• 1994

I am going to survey major topics relating to the title by analyzing the following statistical data. 1 : Global trend of production and import of oil and relating materials 2 : Global trend of major oil production 3 : Capacity of Japanese factory for oil production 4 : Situation of mechanical expression based on raw materials 5 : Change of production amounts of Oil products 6 : Oil production of each items 7 : Imported amounts of oil products 8 : Vegetable oil meals, production, import and global trend 9 : Production of mayonnaise, dressing and edible processing oils 10 : Intake of nutrients, supply of lipids, and consumption of oils 11 : Global production of oleochemicals 12 : Sales amount of oleochemicals 13 : Capacities of fatty acid and fatty alcohol factories 14 : Oleochemical production in 1995 15 : Oleochemical procuction in asia 16 : Production of surfactants for industrial use 17 : Sales amount of detergents and washing materials 18 : Production of soap and synthetic detergent in Japan 19 : Consumption of soap. detergent, and synthetic detergent 20: Relation beween synthetic detergent production and popularization 21 : Biodegradability of soft detergent

• Environmental and Resource Economics Review
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• v.30 no.3
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• pp.503-533
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• 2021

This paper analyzes the relationships among the energy consumption, renewable energy production, real gross regional domestic product(GRDP), and greenhouse gas(GHG) emissions. It uses the metropolitan city and province level data for Korea from 2010 to 2018, employing a panal vector autoregressive(VAR) model. We find that an increase in energy consumption has a limited impact on boosting renewable energy production or gross regional domestic product, while it leads to an increase in greenhouse gas emissions. A rise in renewable energy production can increase gross regional domestic product, but it has no meaningful effects on energy consumption and the reduction of green house gas emissions. Our finding indicates that it is crucial to expand the supply of renewable energy as well as to decrease energy consumption in order to achieve the goal of reducing greenhouse gas emissions and reaching economic growth.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.1
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• pp.155-160
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• 2019

In this paper, we propose an efficient grid-independent ESS control system through the control of renewable energy and agricultural ICT by utilizing the prediction of energy production and consumption. The proposed system is an integrated management system that can perform maintenance and monitoring by visualizing the accurate phase and data of power system. It can automatically cope, collect, process, and control the data. Also, it can analyze the power generation of solar power generation, consumption pattern of installed facilities, and operation trend of facilities. Further, it can predict the consumption of energy production and present the optimal energy management method by using the OpenAPI of the Korea Meteorological Administration, thereby reducing unnecessary energy consumption and operating cost.

• The Journal of Fisheries Business Administration
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• v.36 no.3 s.69
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• pp.89-117
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• 2005

Currently, the tax - exempted vessel fuel is provided for commercial fishing in order to increase the competitive power of fishery production thorough the National Federation of Fisheries Cooperatives. The National Federation of Fisheries Cooperatives should predict the exact amount of fuel consumption for fishing every year to request the fuel from the government. Unfortunately, there is no sophisticated model to predict the tax - exempted vessel fuel consumption. In 2003, the consumption of the tax- exempted vessel fuel was only $25.1\%$ of the estimation amount by the National Federation of Fisheries Cooperatives. This causes an inefficiency in the petroleum management. Moreover, we need some data such as the annual average fishing hours, fishing days and fishing behavior to adopt a new policy regarding fishing. Up to now, the data have been obtained by survey with response in the fishery field. In the most case, we have a small number of data because we spend so much time and money consuming for collecting fishing data. As a result, the level of confidence of the data is associated with the sample size and normally low. In order to achieve more accurate data, we need to develope an efficient method for collecting fishing data. In this research, we proposed a new method to predict the tax- exempted vessel fuel consumption more exactly. The prediction results from the proposed method has been compared with the results from the current method. According to the results in this research, the method proposed here produced much better accuracy than the current method. In addition, we also proposed in the paper for collecting fishing data of the annual average fishing hours using the tax - exempted vessel fuel consumption and the gasoline consumption of vessel engine. The fishing data obtained by using the method proposed in this research could be much more efficient and accurate because it doesn't need to estimate from survey sample data.

• Journal of Korean Society of Forest Science
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• v.108 no.1
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• pp.116-126
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• 2019

The production volume and amount of non-timber forest products in Korea has been on the increase for the past five years. In particular, the production amount of wild vegetables (edible mountain plants) is approximately KRW 400 billion as of 2017, accounting for 14 % of the total production amount of non-timber forest products. Among wild vegetables, especially the production volumes and amounts of bracken, saw-wort (Saussurea), and thistle have grown steadily. Nevertheless, severe price competition with cheap imports and little changes in the pattern of wild vegetable consumption may negatively affect the prices of domestic wild vegetables. This, in turn, can decrease the overall consumption of wild vegetables. Recently, however, consumers have preferred healthy food with increases in their income and interest in health. Therefore, now is a crucial time for the wild vegetable market. Accordingly, this study analyzed consumers' purchase and consumption behavior related to wild vegetables through a consumer survey to contribute to establishing various strategies and policies for promoting the consumption of these vegetables. Also, this study identified consumers' awareness and intention regarding wild vegetables by analyzing social big data. Different from previous studies, this study investigated consumers' awareness and intention by analyzing SNS social big data, as well as conducting a survey. The results of the study will help prioritize strategies and policies for boosting the consumption of wild vegetables.

• International Journal of Quality Innovation
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• v.9 no.3
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• pp.113-121
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• 2008

This paper proposes a scheme to estimate the technical efficiency of energy consumption and production and shadow prices of $CO_2$ emission in country-level at Asia Pacific countries by Data Envelopment Analysis (DEA). The result of technical efficiency estimation shows that there exists an heterogeneity and a substantial opportunity for improvement in technical efficiency at energy consumption and production across countries, specially in the $CO_2$ emission, which implies that more pollutant are spread in air. Each country will have the different willingness to pay for the additional $CO_2$ emission right and this result enables us to predict the competition in international $CO_2$ emission right market.