• 수산해양교육연구
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• 제27권6호
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• pp.1755-1763
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• 2015

The objective of this study is to empirically analyze the relationship between sea temperature and jellyfish blooms. Ever since the 2000s, jellyfish population has been dramatically increased, which brought negative influence on the national health and the fisheries activities. Jellyfish blooms have been recognized as an effect of climate change, but there has been no empirical evidence to support such relationship. In this paper, the relationship between sea temperature and jellyfish blooms has been analyzed by using the regional jellyfish monitoring data and coastal stationary observing data of National Institute of Fisheries Science. Since the dependant variable carries left censoring issues, we used the panel tobit model. Our results indicate that there are statistically significant positive relationship between sea temperature and jellyfish blooms.

• 조명전기설비학회논문지
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• 제25권4호
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• pp.88-96
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• 2011

This paper assesses interruption costs on the industry load through using the microscopic method. For assessment, the questionnaire was made on Korea Standard Industry Categorization which is composed of 28 type of industry Then, the survey was distributed to 1889 business in 12 area by staffs of KEPCO. The collected data is changed to the trustworthy data by using Bad Data Selection method and then the interruption costs of industry load was calculated by Tobit Regression which is tool analysing both collected data and the others.

• 농촌계획
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• 제21권2호
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• pp.1-10
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• 2015

This study consists of an observation of the changes in management and agricultural production of Shinbuk-eup based on the data from the Agricultural, Forestry & Census Report Survey. The following is a short summary and suggestions of the research. First, taking a look at the farming conditions of Shinbuk-eup, it shows that it is extremely polarized into rice paddies and vegetable cropping. Second, using the Tobit model to analyze the factor of determination of farmable lands of the farmers in Shinbuk-eup, the higher the number of family members, the less the hired work, and the more the experience in farming, have larger farmable lands. Meanwhile, the younger the farmer, their land mass is higher, however, after reaching their threshold age, their lands decrease.

• 보건행정학회지
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• 제6권2호
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• pp.91-114
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• 1996

In this research, the Data Envelopment Analysis(DEA) was applied to measure production efficiency of Public Corporation Medical Centers(PCMCs) operating in Korea. The focus of this research is triple. First, identifing convenience and usefulness of DEA to measure the relative efficiency among PCMCs. Second, assessing magnitudes of the relative efficiency for each PCMC. Third, adding insights into some factors resulting inefficiency in PCMCs. Then, in this paper technical efficiency and scale efficiency measured by DEA[introduced by Charnes, Cooper, and Rhoides(1978) and Banker, Charnes, and Cooper(1984)] were analyzed and a new separate variable was introduced which makes it possible to determine whether operations were conducted in regions of increasing, constant or decresing returns to scale(in multiple input and output situations). And a multi-factor Tobit analysis was conducted to see which variables are associated with PCMC's efficiency.

• 한국유기농업학회지
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• 제17권1호
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• pp.19-33
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• 2009

This paper evaluates the technical efficiency of organic farm management practices and studies its main determinants in Hongdongmyeon of Hongsung county, Chungnam province. The analysis is performed in two stages. First, the efficiency is measured via the nonparametric "Data Envelopment Analysis" (DEA) technique. The DEA models are constructed not only to assess the overall technical efficiency of organic fanning practices but also to evaluate the management efficiencies. In a second stage critical determinants of efficiency are determined using a Tobit model. In this analysis the focus is on technical and socio-economic variables. The analytical results show that technically efficient farms is about 13 percent and the mean technical efficiency is found to be 0.73 indicating that many farms are not operating at an efficient scale.

• 수산해양교육연구
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• 제17권3호
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• pp.383-389
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• 2005

In this study, we analyzed consumers' extra willingness-to-pay for the organic farmed laver, which recently is related to the increased interests in health. Survey questionnaires, which are targeted the urban consumers and based on the equivalent surplus concept, were intended to calculate extra willingness-to-pay for the organic farmed laver. Payment card format was used as the questionnaires type and tobit model was used for the analysis. Variables used for the analysis are sex, age, region, occupation, number in family and income. The results were that the consumers had extra willness-to-pay of 17.16% on average for the eco-friendly organic farmed laver. The higher the income and the more the family number, the customers had more extra willingness-to-pay.

• 보건행정학회지
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• 제29권3호
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• pp.332-341
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• 2019

Background: This study analyzes the effects of the individual's health behavior on the health and the medical demand for the management of health and medical expenses. Methods: This study uses the Korea Health Panel Survey data from 2010 to 2015. We utilize the panel ordered logit model and the panel Tobit model with the subjective health status and the medical expenses as the dependent variables. Results: Chronic diseases would cause the deterioration of his or her health and the increase in medical expenses. Smoking and drinking alcohol would deteriorate one's health. The total amount of cigarettes increases medical expenses. Exercises could make people healthier, whereas excessive exercise might increase medical expenses. Private health insurance would increase medical expenses. Conclusion: Since health could reduce the medical expenses, people should promote one's health by changing one's behavior for health.

• International journal of advanced smart convergence
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• 제10권4호
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• pp.215-224
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• 2021

The purpose of this study is to estimate the factors that affect college students' drinking needs and spending. An analysis model to estimate the determinants affecting drinking needs was applied with a truncated Poisson model and a truncated negative binomial model. Tests to select more appropriate models of the two types were made using the comparison of log-likelihood function and the over-dispersion test. The analysis result was interpreted by applying the truncated negative binomial model as the truncated Poisson model showed over-dispersion. We also applied the Tobit model to analyze the determinantsthat affect college students' expenditure on drinking. According to the analysis, gender, grade, allowance and parental occupation were the factors influencing statistics, and gender, type of household income, and student religion were the factors influencing expenditure.

• 한국병원경영학회지
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• 제10권1호
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• pp.71-92
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• 2005

The purpose of this study is to analyze the efficiency in management of general hospitals and investigate the major factors on efficiency. Specifically, the management of each general hospital is evaluated by using Data Envelopment Analysis(DEA) technique which is a nonparametric statistical method for measurement of efficiency. Then, the influencing factors are investigated through analyses of Decision-Tree Model and Tobit Regression. The target hospitals were general hospitals in which bed sizes are between 200 and 500 among a total of 276 general hospitals. The main data of financial indicators were collected from 48 hospitals, and it was analyzed by using two statistical models. For Model I, three input and two output variables were used for efficiency evaluation. In particular, three input variables were the number of medical doctors, the number of paramedical personnel, and the bed size. And, two output variables were the numbers of inpatients and outpatients per year, adjusted by bed-size. The results of DEA analysis showed that only seven out of 48 hospitals(15%) turned out to be efficient. The decision-tree analysis also showed that there were six significant influencing factors for Model I. Six factors for Model I were Bed Occupancy Rate, Cost per Adjusted Inpatient, New Visit Ratio of Outpatients, Retired Ratio, Net Profit to Gross Revenues, Net Profit to Total Assets. In addition, the management efficiency of hospital is proved to increase as profit and patient-induced indicators increase and cost-related indicators decrease, by the Tobit regression model of independent variables derived from the decision-tree analysis. This study may be contributable to the development of analytic methodology regarding the efficiency of hospital management in that it suggests the synthetic measures by utilizing DEA model instead of suggesting simple ratio-analyzing results.

• 한국ITS학회 논문지
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• 제15권1호
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• pp.16-27
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• 2016

본 연구는 고령자의 목적별 보행 행태에 대한 기초분석과 함께 토빗모형을 활용해 보행 행태에 영향을 끼치는 요인을 규명하였다. 영향요인으로는 보행자 행태와 연관 있는 개인 특성, 가구 특성, 존 특성 변수 등을 선정하였다. 보행 행태를 대변하는 변수로는 보행 빈도와 보행 시간 변수를 채택하였다. 분석 결과, 보행시간 모형이 빈도 모형보다 더 우수한 것으로 나타났다. 목적별로는 교육 목적 모형의 설명력이 가장 낮았으며 기타목적 모형은 다양한 특성이 혼재되어 있었다. 독립변수로는 개인, 가구 및 존 특성 변수가 고령 보행자 목적에 따라 각기 다른 영향을 끼치는 것으로 나타났다. 연령이 증가하거나 차량 및 운전면허를 보유한 사람은 보행활동이 감소하였다. 노유자 시설은 고령 보행자의 활동을 촉진하는 것으로 나타났으며 근린 및 업무시설은 업무 목적 보행 활동을 증가시켰다. 마지막으로 집약적 토지개발은 고령 보행자의 보행 활동을 감소시키는 것으로 나타나 향후 도시계획 관점에서 이를 고려해야할 필요성이 있다는 점을 도출하였다.