• Title/Summary/Keyword: Sensitive Industry

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The Study on the Estimation of Optimal Debt Ratio in Korean Agricultural Corporations (한국 농업법인의 적정부채비율 추정을 위한 실증연구)

  • Kim, Woo-Seok;Seo, Beom;Im, In-Seob
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.4
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    • pp.135-142
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    • 2017
  • This study employs an analytical mathematical model to estimate the optimal debt ratio of Korean agricultural corporations, more sensitive to the government debt ratio policy compared to other industries, and the estimation of the optimal debt ratio based on objective data. The analytical model utilizes the equation for ROE, with the debt ratio as an independent variable, and related parameters include ROS, TAT, and NFCL. Regarding the NFCL, the optimal debt ratio standard is defined as the debt ratio that maximizes the ROE by analytical procedures such as adding an equation concerning the debt ratio and a linearity relationship to the analytical model, and from these equations, a quadratic equation with the debt ratio as an independent variable describes the ROE. This methodemploys fourteen years of corporate data. Results show that 138% of debt ratio is the optimal debt ratio to increase the ROE of the corporations, which implies that the existing debt ratio of Korean agricultural corporations is higher than optimal. Consequently, it is required for authorities to change future debt ratio policies in view that the purpose of debt ratio management is to maintain safety and increase profitability.Management should emphasize characteristics of the specific industry rather than standardized judgements based on numerical indexes.

Inheritance of 7S α' - subunit Protein in Soybean Seed (콩의 7S α' - subunit 단백질의 유전)

  • Sung, Mi-Kyung;Kim, Kyung-Roc;Park, Jung-Soo;Hwang, Kyo-Jin;Chung, Jong-Il
    • Journal of agriculture & life science
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    • v.43 no.5
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    • pp.39-42
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    • 2009
  • Soybean is an important sources of plant proteins for human and animal nutrition. The use of soybean proteins has been expanded in the food industry due to their excellent nutritional benefits. But, Soybeans contain allergenic proteins that cause allergies to sensitive individuals. ${\beta}$-conglycinin(7S globulin) and glycinin(11S globulin) are the major components of storage protein in soybean. ${\beta}$-conglycinin consists of three subunits, ${\alpha}^{\prime}$, ${\alpha}$, ${\beta}$ and exhibits poorer nutritional and food processing properties than glycinin. There is a great deal of interest in the development of soybean lines with reduced amounts of ${\beta}$-conglycinin. The objective of this study was to determine the inheritance of ${\alpha}^{\prime}$-subunit protein in 7S globulin. F2 population was developed from the cross of "Jinpumkong2ho"(${\alpha}^{\prime}$-subunit presence) and PI506876(${\alpha}^{\prime}$-subunit absence) parent. Total 98 of F2 seeds were obtained and analyzed for the segregation of ${\alpha}^{\prime}$-subunit protein by SDS-PAGE. Among 98 F2 seeds, 70 F2 seeds showed ${\alpha}^{\prime}$-subunit protein and 28 F2 seeds did not show ${\alpha}^{\prime}$-subunit protein. The segregation ratios of 3 : 1 for presence and absence of ${\alpha}^{\prime}$-subunit protein were observed(${\chi}^2=0.667$, P=0.414). These data indicate that presence and absence of ${\alpha}^{\prime}$-subunit protein is controlled by a single major gene and might be useful for strain selection of 7S protein reduced soybean.

Detection of Earnings Management as a Measure of Income Smoothing on Fluctuations in Exchange Rates: Managerial Implications for Korean Exporters

  • Ji, Sang-Hyun
    • Journal of Korea Trade
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    • v.23 no.6
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    • pp.66-92
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    • 2019
  • Purpose - Foreign Exchange Rates (FER) have been one of the most significant factors for both Korean exporters and the economy of Korea. The purpose of this study is to evaluate whether exporters with a high level of Exchange Rate Elasticity of Sales (ERES) make the use of earnings management for Income Smoothing (IS). Design/methodology - Income smoothing was obtained using the methodology suggested by Leuz, Nanda and Wysocki (2003). Accruals-based Earnings Management (AEM) was estimated using Discretionary Accruals (DA) calculated by the operant Jones Model developed by Dechow, Sloan and Sweeney (1995). Real Earnings Management (REM) was obtained using the methodologies suggested by Roychowdhury (2006) and Cohen and Zarowin (2010). Data were 2,402 firm years of public listed companies on the KRX, which were not in the financial industry and had a settlement of accounts in December for the period from 2013 to 2017. Findings - Results of the evaluation are as follows. First, companies with higher levels of ERES have relatively lower levels of smoothing of reported income. This might be because a fluctuation in sales caused by an exchange rate fluctuation has a direct impact on the volatility of the reported income. Second, companies with high levels of both ERES and IS have a positive correlation with both AEM and REM. This might be because companies with high levels of IS engage in earnings management to smooth reported income. Specifically, it is possible to assume that for smoothing the reported income, not only AEM but also REM is practiced. Third, companies with high levels of ERES but low levels of IS have a negative correlation with both AEM and REM. This could be interpreted as companies exhibiting low levels of IS due to higher levels of ERES tend to control IS. In addition, such results were supported by firms relying highly on exporting, and are consequently sensitive to exchange rate fluctuation. Therefore, it may conclude that companies with high levels of ERES make the use of earnings management as a means of IS. Originality/value - This study can find its significance from the fact that it is the first study, empirically verifying that companies of Korea, where exportation is a large part, use both AEM and REM as a means for smoothing reported income upon facing exchange rate fluctuations. In addition, it is highly expected that the results of this study could be useful for participants of financial markets when making IS-related decisions.

Development of Rice Flour-based Puffing Snack for Early Childhood (쌀가루를 이용한 영유아용 팽화스낵 가공 적성 연구)

  • We, Gyoung Jin;Lee, Inae;Cho, Yong-Sik;Yoon, Mi-Ra;Shin, Malshick;Ko, Sanghoon
    • Food Engineering Progress
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    • v.14 no.4
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    • pp.322-327
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    • 2010
  • Wheat is widely used in food industry because of its low price, convenience, protein-rich resource, easy processibility, and so on. However, people who have wheat-gluten allergy need gluten-free products. Especially, gluten-free products are desirable to early childhood even though they may or may not be sensitive to wheat-gluten. As the alternative of wheat flour, recently, rice flour is gaining popularity. Hence, we developed the puffed rice snack for the baby. In order to prepare for rice extrudate, 1 kg rice flour, 450 g water, and 6 g salt were mixed together and then steamed for 1 hr. The rice extrudate was shredded into pieces (0.5 cm${\times}$0.5 cm) and dried up to 4.5% moisture content. The dried rice shreds were puffed at $257^{\circ}C$ in a puffing machine. The puffed rice snack was oval-shaped having thickness of 0.5 cm, white in color with brown flakes. Appearance and texture of the puffed rice snacks were evaluated by the measurement of the texture, isothermal water absorption, expansion, and the color. Puffed rice was more porous, because rice increased up to about two times larger than its original volume. Texture of the rice puffing snack was suitable for early childhood. Rice puffing snack showed potentials including soft, low-allergenic, and easily digestible properties. It is concluded that rice puffing snack has potential in the food markets for early childhood.

A Study on the Influence Differences of the Awareness and Attitude toward Climate Change on Satisfaction and Behavioral Intention - Focused on the Comparison Between the Korean and Chinese Tourists- (관광객의 기후변화에 대한 인식과 태도가 만족도와 행동의도에 미치는 영향력 차이에 관한 연구 - 중국인과 한국인 관광객 비교를 중심으로 -)

  • Ahn, Sung-Sik;Hwang, Jung;Hwang, Yun-Seop
    • International Area Studies Review
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    • v.21 no.2
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    • pp.45-70
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    • 2017
  • Tourist industry has many sensitive issues with climate change and is worthy of study from an aspect that it could provide new opportunities and threats from the low-carbon - green- growth point of view. To study how the change of awareness and attitude of the customers due to climate change affects the tourism demand and tourism choices is very important. Even at present, the effect is ongoing. In this paper, diverse needs and changes of tourists, who are the subjects of tourism activities, have been grasped through the examination of psychological characteristics according to climate change after defining the influencing relations of tourism experience, tourism value, tourism risk factors, satisfaction, and behavioral intention, affected by awareness of climate change and their attitude toward it. Through this, the implications that are necessary for establishing marketing strategies could be provided. The results of this present paper are as follows: First, it was shown that awareness of climate change did not affect tourism risk factors while it had a significant influence on tourism experience and tourism value. Secondly, it was revealed that the Chinese tourists generally influenced more greatly than the Koreans. Thirdly, it was shown that the attitude toward climate change did not affect tourism value while it influenced significantly on tourism experience and tourism risk factors. Fourthly, it was revealed that tourism risk factors did not affect tourism satisfaction while tourism experience and tourism value had a significant influence on tourist satisfaction. Fifthly and last, it was shown that tourism experience, tourism value, and tourism risk factors did not influence behavioral intention respectively.

Current research status and analysis methods on the effects of food surface properties on particulate matter adsorption (식품 표면 특성에 따른 미세먼지 흡착 연구 현황 및 분석 방법)

  • Lim, Dayoung;Park, Sun-Young;Lee, Dong-Un;Chung, Donghwa
    • Food Science and Industry
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    • v.54 no.1
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    • pp.11-28
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    • 2021
  • Air pollution caused by particulate matters (PM) has become a global issue. PM is known to threaten human health by causing respiratory and cardiovascular disease. PM can be introduced to human gastrointestinal track through food intake, causing inflammation and changes in gut microbiota. Even at low PM concentrations, prolonged exposure to PM can cause significant accumulation of PM in food products. The adsorption of PM onto food surfaces is expected to be strongly influenced by the properties of food surfaces, but few studies have been reported. This paper examines several important food surface properties that may affect the interactions between PM and food surfaces, including surface wettability, surface charge, and surface microstructure. Understanding the adsorption of PM onto food surfaces can provide useful guidance for classifying PM-sensitive foods and controlling food chains, including cultivation, processing, preservation, and cooking, to ensure food safety against PM.

Machine learning-based Fine Dust Prediction Model using Meteorological data and Fine Dust data (기상 데이터와 미세먼지 데이터를 활용한 머신러닝 기반 미세먼지 예측 모형)

  • KIM, Hye-Lim;MOON, Tae-Heon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.24 no.1
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    • pp.92-111
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    • 2021
  • As fine dust negatively affects disease, industry and economy, the people are sensitive to fine dust. Therefore, if the occurrence of fine dust can be predicted, countermeasures can be prepared in advance, which can be helpful for life and economy. Fine dust is affected by the weather and the degree of concentration of fine dust emission sources. The industrial sector has the largest amount of fine dust emissions, and in industrial complexes, factories emit a lot of fine dust as fine dust emission sources. This study targets regions with old industrial complexes in local cities. The purpose of this study is to explore the factors that cause fine dust and develop a predictive model that can predict the occurrence of fine dust. weather data and fine dust data were used, and variables that influence the generation of fine dust were extracted through multiple regression analysis. Based on the results of multiple regression analysis, a model with high predictive power was extracted by learning with a machine learning regression learner model. The performance of the model was confirmed using test data. As a result, the models with high predictive power were linear regression model, Gaussian process regression model, and support vector machine. The proportion of training data and predictive power were not proportional. In addition, the average value of the difference between the predicted value and the measured value was not large, but when the measured value was high, the predictive power was decreased. The results of this study can be developed as a more systematic and precise fine dust prediction service by combining meteorological data and urban big data through local government data hubs. Lastly, it will be an opportunity to promote the development of smart industrial complexes.

Plasma metabolites associated with physiological and biochemical indexes indicate the effect of caging stress on mallard ducks (Anas platyrhynchos)

  • Zheng, Chao;Wu, Yan;Liang, Zhen Hua;Pi, Jin Song;Cheng, Shi Bin;Wei, Wen Zhuo;Liu, Jing Bo;Lu, Li Zhi;Zhang, Hao
    • Animal Bioscience
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    • v.35 no.2
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    • pp.224-235
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    • 2022
  • Objective: Cage rearing has critical implications for the laying duck industry because it is convenient for feeding and management. However, caging stress is a type of chronic stress that induces maladaptation. Environmental stress responses have been extensively studied, but no detailed information is available about the comprehensive changes in plasma metabolites at different stages of caging stress in ducks. We designed this experiment to analyze the effects of caging stress on performance parameters and oxidative stress indexes in ducks. Methods: Liquid chromatography tandem mass spectrometry (LC/MS-MS) was used to determine the changes in metabolites in duck plasma at 5 (CR5), 10 (CR10), and 15 (CR15) days after cage rearing and traditional breeding (TB). The associated pathways of differentially altered metabolites were analyzed using Kyoto encyclopedia of genes and genomes (KEGG) database. Results: The results of this study indicate that caging stress decreased performance parameters, and the plasma total superoxide dismutase levels were increased in the CR10 group compared with the other groups. In addition, 1,431 metabolites were detected. Compared with the TB group, 134, 381, and 190 differentially produced metabolites were identified in the CR5, CR10, and CR15 groups, respectively. The results of principal component analysis (PCA) show that the selected components sufficiently distinguish the TB group and CR10 group. KEGG analysis results revealed that the differentially altered metabolites in duck plasma from the CR5 and TB groups were mainly associated with ovarian steroidogenesis, biosynthesis of unsaturated fatty acids, and phenylalanine metabolism. Conclusion: In this study, the production performance, blood indexes, number of metabolites and PCA were compared to determine effect of the caging stress stage on ducks. We inferred from the experimental results that caging-stressed ducks were in the sensitive phase in the first 5 days after caging, caging for approximately 10 days was an important transition phase, and then the duck continually adapted.

A Study on the Effect of Consumer Characteristics on Intention to Use in Mobile Location-Based Advertising (모바일 위치기반 광고에서 소비자 특성이 이용의도에 미치는 영향에 관한 연구)

  • Cho, Won-Sang;Han, Dong-Gyun;Whang, Jae-Hoon
    • Informatization Policy
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    • v.29 no.1
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    • pp.38-59
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    • 2022
  • The development of IT technology and the spread of smartphones are having a great impact on businesses and consumers. Consumers have been able to acquire more diverse and larger amounts of information than in the past due to information provided through smartphones and information search on the internet, which has a significant influence on decision-making. Companies have also become sensitive to such changes in consumer behavior patterns, reflected in their marketing. In addition, among the various characteristics of smartphones, location-based technology has become an important factor in providing targeted marketing from a company's point of view. Such technological development and social change have led to the expansion of the mobile advertising market, which promotes products or services based on the location of consumers and provides benefits such as discount coupons. In this study, we have analyzed the influence of consumer characteristics on intention to use in mobile location-based advertising, which has become an important marketing method in the mobile advertising market. The effects of variables of personalization, engagement, coupon proneness, economic efficiency, and irritation on attitude and information privacy concerns were analyzed, and the effects of attitude and information privacy concerns on intention to use were analyzed. The results of this study are deemed to be able to suggest factors to consider when providing mobile location-based advertising to consumers in the future.

A Study on Sustainable Service Improvement - Case of Seoul National University Hospital, Korea - (지속적인 서비스 개선을 위한 연구 - 서울대학교병원 사례를 중심으로 -)

  • Sung, Hyun Jin;Kim, Young Se
    • Korea Science and Art Forum
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    • v.19
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    • pp.417-424
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    • 2015
  • The healthcare service industry has become one of the business industries in South Korea where service design is most actively being researched on and applied. In accordance with the recent upsurge of the interest in health, healthcare service is expanding its area including disease prevention, patient management, and rehabilitation treatment as well as cure and nursing care. The health manpower is the supplier, and their professional knowledge and ability and the patients' trust in medical technology are the most important factors for their customers. In addition, service design has come into the spotlight given that the medical institute system, health manpower attitude, and information delivery system and touch point are considered important factors contributing to customer satisfaction. It is very hard to satisfy customers only through professionalism, the environment, and product improvement because healthcare service deals with much more sensitive and emotional customers compared to other service industries. This means that a change in the service mind-set and the attitude of the health manpower as emotional labourers have practical effects. Therefore, the fundamental solution is to establish a system that provides related education with manpower and that settles various problems by itself. This paper introduces several solutions, such as education for health manpower and a service design system applied to a national-university-affiliated hospital in South Korea, and takes a close look at its effects.