• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.41-49
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• 2008

According to the demand for services. a single point contract between a user and provider spreads over the industry, and the relationship between them is a main issue. The user wants to make a deal with the contributor which can provide the effective services to the user. This study is to estimate the efficiency of global logistics industry with Data Envelopment Analysis, by nations from 2001 to 2005. Furthermore, it tries to estimate the inefficiency affected by macro factors, and proves the association between them using Tobit model. Global logistics industry has made growth both externally and internally more than doubled for the last 5years. Technical inefficiency of global logistics industry is more influenced by pure technical inefficiency than inefficiency of scale. Therefore technical efficiency can be increased by decreasing pure technical inefficiency. Through this study, it found that the logistics industry got influenced to its efficiency by high price of oil, and courier and transportation service market is formed stably. Furthermore, it advocates policy planners to consider effectiveness and clearness of policy which influence to inefficiency of logistics industry. Also, it found that labor and financial support can give critical effect.

• Journal of Information Management
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• v.41 no.2
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• pp.111-131
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• 2010

This paper examines the levels and influence factors on efficiency of public libraries in metropolitan cities. For this purpose, In the first stage, the efficiency score analysis of 129 sample public libraries has been undertaken. In the second stage, the efficiency scores obtained from the first stage are regressed on environmental factors. The result of this study shows that : (1) main source of technical inefficiency is pure technical inefficiency rather than scale inefficiency; (2) it is positive effect environmental factors on the efficiency that the population, the dummy variable of capital area.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3155-3161
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• 2015

This paper attempts to analyze the socio-economic determinants of demanders for cultural performance. To take into account zero responses (no expenditure or no experience for cultural performance, this paper employed a two-equation model and tobit model. the results of this study can be obtained the following conclusion. The demands of performing arts tend to be increased to people as they were younger, women, more earned and higher educated. In addition, the income is inelastic to demand. And after a certain age (peak age), the demand is increased.

• International Area Studies Review
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• v.13 no.3
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• pp.213-238
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• 2009

This paper empirically examines effects of exporting on employment over the period 2000-2007 for Korean listed and non-listed manufacturing firms. The paper employs the dynamic panel model of labor demand and controls for simultaneity of the exports and real wages using a two step random effect Tobit-DPD (Dynamic Panel Data) procedure. Our empirical results suggest that surprisingly, there is no robust evidence for employment effects of exporting of Korea's large firms and small-medium sized firms during the sample period after Korean financial crisis. This implies that Korean exporting patterns have been changed in a way that exporting highly capital intensive goods leads to importing more intermediate goods and thus to countervailing the employment effects of exporting. This suggests that expansion of exporting by lowering exporting prices through the bilateral FTA might not be helpful to enhancing employment in Korea.

• Korea Journal of Hospital Management
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• v.10 no.1
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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.

• Journal of Fisheries and Marine Sciences Education
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• v.17 no.3
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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.

• Korean Journal of Construction Engineering and Management
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• v.25 no.2
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• pp.45-55
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• 2024

This study analyzed the efficiency determinants of specialty construction companies by industry using the DEA model and the Tobit model. The analysis targets are 394 specialty construction companies as of 2022. As a result of analysis of efficiency determinants using 12 company characteristics as independent variables, the biggest problem for specialty construction companies was overall efficiency reduction due to rising labor costs. In addition, in a situation where construction companies' loan regulations are severe, the debt ratio was found to have a positive effect on efficiency. Company size had a different impact by industry, and the number of businesses held, credit score, and total capital turnover had an effect only on some industries. This study presents results that are an advance on existing research in that it strategically analyzes factors for improving the efficiency of specialty construction companies. However, it has limitations such as limiting the analysis to only specialty construction companies subject to external audit, insufficient number of companies subject to analysis by industry, and analyzing relative efficiency in the same category for each industry.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.611-620
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• 2014

This research analyzed the operation efficiency and influence factors of housing facilities for the severely disabled in Jeolla region by using the DEA model. First, the analysis of efficiency for 2012 was carried out using the CCR model. As a result, 12 DMUs were proved to be efficient, and the average efficiency of CCR was 0.85, confirming that the efficiency of all DMUs were satisfactory. Second, regression analysis was carried out to analyze the factors affecting the efficiency of the DEA model by using the Tobit model. In this case, the inputs and calculated variables were set as independent variables whereas the efficiency as the dependent variable. As a result, the detailed variables had a low significance; the overall input variables showed a negative influence while the calculated variables tended to be a positive influence. In terms of operation efficiency, there was no meaningful result in input variables besides the number of workers. Instead of expanding the input variables, the following should be made for housing facilities of the severely disabled; more efforts should be put in to improve welfare service delivery system and operating environment and structure, and the program must be supplemented as well.

• Journal of Cadastre & Land InformatiX
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• v.49 no.1
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• pp.5-15
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• 2019

This study is to review methodological limitations of previous studies, propose Tobit Model as an analysis model. We model used annual rent-free as dependent variable and considering to contract characteristics and building characteristics as independent variable. We model was consisted to the three model as follow: Basic model, Time control model, Quadratic model. As a result of the analysis, existing variables revealed through previous studies such as contract period, contract area, total floor area, and building age were all statistically significant. These results were robust when considering time effects. Also, floor area and annual rent-free was quadratic relationship by inverse U shape. This result provide to methodological contribution for related research. Also, provide to more accurate information for participants in seoul office market.

• Korean Journal of Agricultural Science
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• v.49 no.3
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• pp.607-617
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• 2022

As the number of households raising pets increases, the pet food industry is also growing. Since pets cannot express their intention explicitly, it appears that the owner's perception mainly affects the selection of products related to pets. In this study, consumers were categorized based on their interest in food choices and the factors influencing their interest in pet food were empirically analyzed. For the analysis, a cluster analysis, factor analysis, and Tobit analysis were conducted using consumer survey data for raising companion animals. The major findings of the study were as follows. As a result of the factor analysis and cluster analysis using questions for consumers' food consumption choices, consumer types were classified into high-interest, low-interest, and practical-seeking types. The degree of interest in pet food was high in the order of high-interest, practical-seeking, and low-interest type. Demographic characteristics such as gender, education, and household type correlate with differences in the degree of interest in pet food, and the food selection criteria of consumers also affect the degree of interest in pet food. These results show that consumers who are more interested in their food choices are more interested in pet food, and this will make possible to know pet owner's purchasing behavior for pet food.