• Korean Journal of Agricultural Science
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• v.37 no.1
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• pp.161-170
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• 2010

In Korea, food material industry encounters the emerging market which results from the growth of food service industry and food processing industry. Food material suppliers think that the total sales in Korean market may be around 20 trillion won. However, very small numbers of studies about Korean food material industry have been conducted. This paper analyzes the current status of food material industry and the market structure in Korea, and presents several suggestions for the development of Korean food material industry as following: building up the function of fresh-cut in production area, improving market structure, settling down the cold-chain system, enforcing the certification program for food safety.

• KDI Journal of Economic Policy
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• v.42 no.3
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• pp.1-32
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• 2020

This paper studies urban growth in Korean cities. First, I document that population growth patterns change over time and that the current population distribution supports random urban growth. I confirm two empirical laws-Zipf's law and Gibrat's law-both of which hold in the period of 1995-2015, but do not hold in the earlier period of 1975-1995. Second, I find a systematic employment growth pattern of Korean cities in spite of the random population growth. I examine market access effects on employment growth. Market access, a geographical advantage, has a significant influence on urban employment growth. The market access effect is higher in the Seoul metropolitan area than in the rest of the country. This effect is stronger on employment growth in the manufacturing industry compared to employment growth in the service industry. These results are robust with various checks (e.g., different definitions of urban areas). The results here suggest that policymakers should consider geographical characteristics when they make policy decisions with respect to regional development.

• The Korean Journal of Food And Nutrition
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• v.35 no.6
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• pp.521-530
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• 2022

This study was conducted to compare the quality characteristics of commercial tofu products from the market in Korea. Seventeen types of commercial tofu samples were taken and their physicochemical properties, including soluble solid contents, salinity, pH, total acidity and moisture (total solid contents), were analyzed. The hardness of tofu was negatively correlated with the moisture contents of tofu (r=-0.667^**). The commercial tofu showed pH 5.80~6.24, total acidity of 0.016~0.034%, soluble solids of 1.50~3.45°Brix, salinity of 1.20~2.30%, and moisture content of 79.91~87.57%, respectively. All 17 tofu samples sold in the Korean market were prepared using crude MgCl₂ and sea water as a coagulant. The quality characteristics vary depending on the constituent's of soybeans, and the ratio and amount of coagulants of tofu used. The origin of soybean seeds affected the yellowness of tofu; tofu made from imported soybean showed a higher b value than domestic soybean. These results are expected to be useful for understanding trends in the domestic tofu industry.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.3
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• pp.245-251
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• 2014

As delineating market areas of retail businesses has become an interesting topic in marketing field, Lee and Lee recently suggested a noteworthy method, which applied the hydrological analysis of geographical information system (GIS), based on Christaller's central place theory. They used a digital elevation model (DEM) which inverted the kernel density of retail businesses, which was measured by using bandwidths of pre-determined 500, 1000 and 5000 m, respectively. In fact, their method is not a fully data-based approach in that they used pre-determined kernel bandwidths, however, this paper has been planned to improve Lee and Lee's method by using a kind of data-based approach of the L-index that describes clustering level of point feature distribution. The case study is implemented to automobile-related retail businesses in Seoul, Korea with selected Kernel bandwidths, 1211.5, 2120.2 and 7067.2 m from L-index analysis. Subsequently, the kernel density is measured, the density DEM is created by inverting it, and boundaries of market areas are extracted. Following the study, analysis results are summarized as follows. Firstly, the L-index can be a useful tool to complement the Lee and Lee's market area analysis method. At next, the kernel bandwidths, pre-determined by Lee and Lee, cannot be uniformly applied to all kinds of retail businesses. Lastly, the L-index method can be useful for analyzing the space structure of market areas of retail businesses, based on Christaller's central place theory.

• YAKHAK HOEJI
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• v.58 no.2
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• pp.99-106
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• 2014

This study explores the prescribing pattern of generic drugs and the relationship between socio-demographic factors and the use of generics in South Korea. The analysis was based on claims data of 2011 from Korean National Health Insurance. We examined utilization, costs, and market share of oral preparations by original and generic product. Multiple logistic regression was performed to evaluate the predictive factors of generic use among multi-source medications. Generics accounted for 37~41% of utilization and 34~41% of costs in the insured market of oral preparations. In the generic market, costly generics made up about 58~61%, 56~66% of volume and value, respectively. Other things being equal, institutional factors affected generic use to the largest degree. The odds of having generics were 6 times higher in clinics, 4 times higher in hospitals, and 1.7 times higher in general hospitals than in teaching hospitals. Those in metropolitan or rural area were more likely to prescribe generics than those in the capital area. While generics were frequently prescribed for off-site pharmacy (OR=1.173), the odds of having generics was 0.88 after weighting the data by units prescribed. This study empirically presented the pattern of generic prescribing, confirming the widely accepted view that costly generics were more likely to be utilized in the Korean market. Up to two thirds of the generic market consisted of costly products. The strongest factors affecting generic use were institutional variables.

• Food Science of Animal Resources
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• v.38 no.6
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• pp.1237-1245
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• 2018

In this study, the contamination levels of hygienic indicators and foodborne pathogens in retail meat products were investigated in relation to the various market factors including processing temperature, processing area, and market type. Ground beef samples (n=80) were purchased from 40 meat markets and investigated for microbiological quality. Beefs processed below $20^{\circ}C$ had significantly lower numbers of total coliforms (TC) than these processed over $20^{\circ}C$ (2.01 vs. 2.79 log CFU/g; p<0.05). Interestingly, separation of processing area did not affect the contamination levels. Remarkably, the contamination levels of hygienic indicator differ among market types, indicating that not only processing condition but distribution structure that is directly related with storage period could affect the final microbiological loads of the meat products. In addition, the prevalences of Listeria monocytogenes (a psychrotroph), Enterococcus faecium, and Enterococcus faecalis were 7.5% (6/80), 10.0% (8/80), and 20.0% (16/80), respectively, which is irrelevant to market factors except meat products from wholesale markets where no L. monocytogenes were found among 30 samples. The results of this study indicate that the contamination level of hygiene indicator and foodborne pathogens in retail beef is more related with processing temperature and storage period than other environmental factors.

• Journal of Distribution Science
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• v.11 no.12
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• pp.5-11
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• 2013

Purpose - The purpose of this study was to construct a turnover estimation model by investigating research by Park et al. (2006) on the market area of domestic distribution. The study investigated distribution by using a new tool for the turnover estimation technique. This study developed and discussed the turnover estimation technique of Park et al. (2006), applying it to a large-scale retailer in "D"city that was suitable for on-the-spot distribution. It constructed the new model in accordance with test procedures keeping to this retail business location, to apply its procedures to a specific situation and improve the turn over estimation process. Further, it investigated the analysis and procedures of existing turnover estimation cases to provide problems and alternatives for turnover estimation for a large-scale retailer in "D"city. Finally, it also discussed problems and scope for further research. Research design, data, and methodology - This study was conducted on the basis of "virtue" studies. In other words, it took into account the special quality of the structure of Korea's trade zones. The researcher sought to verify a sale estimate model for use in a distribution industry's location. The main purpose was to enable the sale estimate model (that is, the individual model's presentation) to be practically used in real situations in Korea by supplementing processes and variables. Results - The sale estimate model is constructed, first, by conducting a data survey of the general trading area. Second, staying within the city's census of company operating areas, the city's total consumption expenditure is derived by applying the large-scale store index. Third, the probability of shopping is investigated. Fourth, the scale of sales is estimated using the process of singularity. The correct details need to be verified for the model construction and the new model will need to be a distinct sale estimate model, with this being a special quality for business conditions. This will need to be a subsequent research task. Conclusions - The study investigated, tested, and supplemented the turnover estimation model of Park et al. (2006) in a market area in South Korea. Supplementation of some procedures and variables could provide a turnover estimation model in South Korea that would be an independent model. The turnover estimation model is applied, first, by undertaking an investigation of the market area. Second, a census of the intercity market area is carried out to estimate the total consumption of the specific city. Consumption is estimated by applying indexes of large-scale retailers. Third, an investigation is undertaken on the probability of shopping. Fourth, the scale of turnover is estimated. Further studies should investigate each department as well as direct and indirect variables. The turnover estimation model should be tested to construct new models depending on the type of region and business. In-depth and careful discussion by researchers is also needed. An upgraded turnover estimation model could be developed for Korea's on-the-spot distribution.

• Korean Journal of Social Welfare Studies
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• v.47 no.3
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• pp.5-33
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• 2016

This study investigates the current features of social service provision system focusing on the core institutional traits of the system and community environment. Specifically, the study analyzes the differences in the contents and characteristics of social service provision, according to the community types, such as metropolitan area, medium size cities, and rural area. Also, the study explores the relationships among the three major subsystems in the social service provision system based on the types of financial provisions. Furthermore, the interaction effects between the community factors and financial traits on the relationships among sub- components in the service provision system are investigated. In this study other organizations, service users and public sector are regarded as three major sub-components in the provision system. The study utilizes the raw data from '2015 Social Service Demand and Provision Survey', which interviewed 4,100 social service organizations. Results from analyses show that the gap among metropolitan area, medium cites, and rural area is not so much bigger in the diverse provision features(e.g. the competition level, the major focus on the users, and policy demands on public sector) of provider-provision-organizations than in those of both of user-provision-organization and of market-way-organizations. User-provision organizations show the distinct differences in terms of the focus points on the users, while marketed organizations do in terms of the policy demands to the public sector. In rural area, user-provision organizations act like provider-provision-organizations whereas they do market-way-organizations in the urban area. Research findings show that the social service provision types utilizing market mechanism(such as user-provision, and market-way) are not so well fit into the characteristics of rural area.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.2 no.4
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• pp.1-17
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• 2007

There are many different types of risk capital competing for deals in the korean entrepreneurial capital market. In the past, even though korean private venture capitalists did not have their distinctive competitive advantages, due to government support and subsidies, they could be survived in the market. However, the government controlled area has changed to a market driven area which emphasizes market forces and competition rather than support and protection. In order to be competitive, Korean private venture capital firms need to recruit high calibre professionals and build required financial skills for wise entrepreneurial investments. The purpose of this article is to analyze the relationships among firm characteristics, human resources, and investment strategies of korean venture capital firms. We can find that the asset size of venture capital firms has a positive effect on the size of their human resources. However, we can not find any relationship between firm characteristics and investment strategies of venture capitals. Even though we find some evidences among some variables, we need to interpret the results very carefully. Further research would be needed to carried out to clarify the disputable interpretations and our understanding of this area.

• Journal of Electrical Engineering and Technology
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• v.10 no.4
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• pp.1480-1491
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• 2015

In new deregulated electricity market, short-term price forecasting is key information for all market players. A better forecast of market-clearing price (MCP) helps market participants to strategically set up their bidding strategies for energy markets in the short-term. This paper presents a new prediction strategy to improve the need for more accurate short-term price forecasting tool at spot market using an artificial neural networks (ANNs). To build the forecasting ANN model, a three-layered feedforward neural network trained by the improved Levenberg-marquardt (LM) algorithm is used to forecast the locational marginal prices (LMPs). To accurately predict LMPs, actual power generation and load are considered as the input sets, and then the difference is used to predict price differences in the spot market. The proposed ANN model generalizes the relationship between the LMP in each area and the unconstrained MCP during the same period of time. The LMP calculation is iterated so that the capacity between the areas is maximized and the mechanism itself helps to relieve grid congestion. The addition of flow between the areas gives the LMPs a new equilibrium point, which is balanced when taking the transfer capacity into account, LMP forecasting is then possible. The proposed forecasting strategy is tested on the spot market of the Nord Pool. The validity, the efficiency, and effectiveness of the proposed approach are shown by comparing with time-series models