• Journal of Korea Water Resources Association
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• v.57 no.6
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• pp.393-407
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• 2024

This study was conducted with the purpose of focusing on local water supply services, identifying equity and influencing factors, and analyzing the results. Using the Coulter model for 152 local governments across the country, equity was measured for six variables, including average unit price, rates of recovering costs from water price, revenue water ratio, water supply rate, number of employees, and customer satisfaction. Among them, the level of inequality in the average unit price was the highest. As a result of trend analysis, the degree of equity of most variables decreased. In addition, through Tobit analysis, factors influencing equity such as financial independence, local tax burden, and administrative district level were confirmed. In order to provide equitable water supply services, institutional changes such as rate increases are needed. And the government and local governments must pursue various water supply plans.

• The Korean Journal of Applied Statistics
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• v.26 no.5
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• pp.737-746
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• 2013

The Bayesian method can be applied successfully to the estimation of the censored regression model introduced by Tobin (1958). The Bayes estimates show improvements over the maximum likelihood estimate; however, the performance of the Bayesian interval estimation is questionable. In Bayesian paradigm, the prior distribution usually reflects personal beliefs about the parameters. Such subjective priors will typically yield interval estimators with poor frequentist properties; however, an objective noninformative often yields a Bayesian procedure with good frequentist properties. We examine the performance of frequentist properties of noninformative priors for the Tobit regression model.

• Industry Promotion Research
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• v.9 no.1
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• pp.259-273
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• 2024

In this study, 31 provincial-level administrative regions in China from 2011 to 2021 were taken as the research objects, and the super-SBM model was used to measure the regional eco-efficiency with capital, labor, land and resource input as input variables, GDP and green coverage as the desirable outputs, and wastewater, waste gas and solid waste emissions as the undesired outputs. Tobit regression was used to analyze the effects of external environmental factors on eco-efficiency. The results showed that the average level of eco-efficiency in China was low, and the eco-efficiency in the eastern region was higher than that in other regions, and there were great differences in the western, northeast and central regions.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.430-443
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• 2015

신약개발은 국민의 건강권과 직결되며 국가 차원의 제약산업 육성을 위해 매우 중요하다. 그동안 신약개발 분야와 관련하여 다양한 연구가 수행되었지만, 신약개발 분야의 국가연구개발사업에 대한 효율성 분석은 매우 부족한 실정이다. 특히 R&D 분야는 연구개발시차, 일출효과(spill-over effect) 등으로 인해 투입과 산출의 일정한 방향성과 등비율적인 증감을 가정하는 CCR 모형이 적합하지 않다. 또한 가변규모수익을 가정하는 BCC 모형도 여유분(slack)으로 인해 의사결정단위간의 명확한 우선순위 도출이 어려운 한계점이 있다. 최근에는 R&D 분야의 특수성을 고려해서 자료포락분석 모형 중 RAM(Range Adjusted Measure) 모형을 활용한 분석방법이 제시되고 있다. RAM 모형은 가변규모수익 가정 하에 투입지향이나 산출지향처럼 방향성에 대한 사전적인 가정 없이 비효율성을 최대한 제거하는 방향으로 효율성을 측정하므로 R&D 분야의 효율성 분석에 적합하다. 특히 RAM 모형은 매우 강건한 단조성을 인해 의사결정단위 간 명확한 순위 구분도 용이하다. 따라서 본 연구에서는 자료포락분석 모형 중 RAM 모형과 토빗 회귀분석이 결합된 2단계 접근법을 활용해서 범부처전기신약개발사업을 중심으로 신약개발 분야의 국가연구개발사업들에 대한 효율성을 분석하고 주요 시사점들을 논의하였다.

• Journal of Navigation and Port Research
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• v.45 no.6
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• pp.346-351
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• 2021

With the goal of eradicating overwork, overload, and speeding of general freight cars(cargo) by the Ministry of Land, Infrastructure and Transport, Infrastructure and Transport, the "The Fare of safe transportation for freight cars System" has been enforced since 2020. 'The Fare of safe transportation for freight cars' rate for each item is being applied and supplemented, but the 'The Cost of safe transportation for freight cars' of general freight cars (cargo) and steel items is under discussion. The purpose of this study was to estimate the willingness to pay( WTP) for cargo. A survey was conducted on shippers, transportation companies (arrangers, carriers), and cargo drivers (using direct questioning among contingent valuation method (CVM) and the Tobit Regression analysis was conducted, and the average and median values of freight rates were derived using the estimated results, and the willingness to pay by tonnage of freight cars was confirmed. It is expected that the results of this study can be used as a reference to the "The Fare of safe transportation for freight cars Committee" an organization for deliberation and resolution of the 'The Cost of safe transportation for freight cars'.

• 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 Korea Society of Industrial Information Systems
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• v.28 no.1
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• pp.71-82
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• 2023

As an alternative to solving social problems, social economic actors are attracting attention as an important alternative. SPC is a private program that pays incentives according to the social performance measured by monetary value. This study measured efficiency by applying DEA to social enterprises that participated in the SPC program and analyzed the factors affecting efficiency through tobit regression. As a result of DEA analysis, it was found that 21% of social enterprises participating in SPC were efficient, but 66% needed to improve their efficiency. In the Tobit regression analysis, the efficiency was relatively low in the case of manufacturing sector, and when the square term of sales is included, the efficiency decreases as sales increase. Through this, it was estimated that external support is needed at a low level sales before crossing the critical point, and that the efficiency of social value creation increases when it grows above a certain level. Moreover, it is significant in that it combines the variables used in the analysis of traditional industrial efficiency while conducting efficiency analysis focusing on the social performance by monetary value, which is considered the most important achievement of social enterprises. It is believed that it will contribute to research related to the environment creation and the requirements of each field in creating social values for social enterprises in the future.

• The Korean Journal of Financial Management
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• v.23 no.2
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• pp.57-83
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• 2006

The purpose of this paper is to analyze the efficiency and productivity change and inefficiency cause of the korean non-life insurance companies of the before($1993{\sim}1996$) and after($1998{\sim}2004$) of IMF. we use DEA (Data Envelopment Analysis) model to measure company efficiency and MPI(Malmquist productivity indices) to measure company productivity change and Tobit regression to analyze inefficiency cause. we utilize ten non-life insurance companies in korea and the time-series data for eleven from 1993 to 2004 except 1997. The empirical results show the following findings. First, total cost efficiency shows that the after of IMF decrease of 3.7% over the before of IMF and MPI change indicates that the after of IMF increase 7.7% over the before IMF. Second, the results of Tobit regression to analysis the cause of inefficiency show that total cost efficiency is positively related invested assets, acquisition expenses ratio, collection expenses ratio and is negatively related solicitors ratio, personnel expenses ratio, land & buildings expenses ratio, loss ratio, net operating expenses ratio. Especially inefficiency of small-to-mid sized companies is main cause of total cost efficiency of non-life insurance companies in korea. Small-to-mid sized companies endeavored various aspects of business strategies.

• The Journal of Society for e-Business Studies
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• v.19 no.3
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• pp.91-105
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• 2014

This study purposed to benchmark the number of patients who visited an oriental medicine hospital from its surrounding regions using data envelopment analysis (DEA) model, and to analyze the relationships between regional characteristics and efficiency scores from DEA. Study data was collected from one oriental medicine hospital operated in a metropolitan city in Korea. Patient locations were identified at the smallest administrative district, Dong, and number of patients was calculated at the Dong level based on the address of patients in hospital information system. Socio-demographic variables of each Dong were identified from the Statistics of Korea web-sites. DEA was used to benchmark the number of patients between Dongs and to compute the efficiency scores. Tobit regression analysis model was applied to analyze the relationship between efficiency scores and regional variables. 6 Dongs were identified as efficient after DEA. In Tobit analysis, number of medical aid recipients and number of total population in each Dong was significant in explaining the differences of efficiency scores. The study model introduced the application of DEA model in benchmarking the patients between regions. It can be applied to identify the number of patients in each region which a hospital needs to improve their performances.

• Korean Journal of Social Welfare
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• v.65 no.4
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• pp.341-365
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• 2013

This study attempts to examine the moderating effect of religiosity in the relationship between religion and secular giving behavior (absolute amount and philanthropic effort). For the analysis, this study utilizes 'Giving Korea 2012' by the Beautiful Foundation and employs Tobit regression model. Focusing on giving amount, major findings are that (1) Protestants and Catholics give greater amounts for secular cause than those with no religious affiliation; and (2) interaction between Protestants and religiosity and interaction between Catholics and religiosity have significant relationships with citizens' secular giving amount in a positive direction. Focusing on philanthropic effort (giving amount divided by family income), major findings are that (1) there is no significant relationship between religion types and citizens' philanthropic effort and (2) interaction between Protestants and religiosity and interaction between Catholics and religiosity have significant relationships with citizens'philanthropic effort in a positive direction. This study provides new knowledge foundation on citizens' secular giving behavior and contributes to developing effective fundraising strategies of nonprofit organizations on religion-related donor markets.