• The Journal of Korean Medicine
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• v.35 no.3
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• pp.22-31
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• 2014

Objectives: The aim of this study was to identify the complementary and substitute relationships between the use of Korean medicine (KM) and that of Western medicine (WM) in the treatment of musculoskeletal disease. Methods: We analyzed the 2009 Korea Health Panel dataset. General characteristics and the medical utilization of respondents were analyzed descriptively. Logistic regression, negative binominal regression, and Tobit regression analysis were used to identify the relationships between the use of KM and the use, visit frequency, and expenses of WM, respectively. Results: In the treatment of musculoskeletal disease, KM use and non-herbal treatments with Korean medicine significantly reduced WM use. Herb medication use significantly increased WM visit frequency. There were no significant relationships between KM use and WM expenses. Conclusions: There are substitute relationships between WM use and KM use, especially non-herbal treatments in KM. Therefore we need to develop the clinical protocols of KM and WM treatments in the treatment of musculoskeletal disease for proper distribution medical resources.

• Journal of Information Technology Applications and Management
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• v.13 no.1
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• pp.1-16
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• 2006

This paper empirically analyzed consumer price search behavior using Web log data of a Korean web site for price comparison. Consumer click-stream data of the site was used to test the effects of price level, product category, third party certification, reputation of retailers on click behavior. According to the descriptive statistics, 67.4% of shopbot users clicked the offer which was the lowest price returned in a search. We found that third party certification and reputation of retailers were significant determinants of clicking the lowest priced offer from legit analysis. We also applied Tobit regression analysis to estimate the price premium of the two determinants, but only reputation of retailers was found to have price premium of 4.9%.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.10
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• pp.2609-2626
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• 2023

The hotel industry is an example of experiential services. As consumers cannot fully evaluate the online review content and quality of their services before booking, they must rely on several online reviews to reduce their perceived risks. However, individuals face information overload owing to the explosion of online reviews. Therefore, consumer cognitive fluency is an individual's subjective experience of the difficulty in processing information. Information complexity influences the receiver's attitude, behavior, and purchase decisions. Individuals who cannot process complex information rely on the peripheral route, whereas those who can process more information prefer the central route. This study further discusses the influence of the complexity of review information on hotel ratings using online attraction review data retrieved from TripAdvisor.com. This study conducts a two-level empirical analysis to explore the factors that affect review value. First, in the Peripheral Route model, we introduce a negative binomial regression model to examine the impact of intuitive and straightforward information on hotel ratings. In the Central Route model, we use a Tobit regression model with expert reviews as moderator variables to analyze the impact of complex information on hotel ratings. According to the analysis, five-star and budget hotels have different effects on hotel ratings. These findings have immediate implications for hotel managers in terms of better identifying potentially valuable reviews.

• 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.

• Asia-Pacific Journal of Business
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• v.7 no.1
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• pp.31-42
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• 2016

Small and Medium Enterprises (SMEs) are suitable to provide employment with lower investment in densely populated countries like Bangladesh. A stochastic frontier model is used to evaluate performance of SME Banking of the commercial banks in Bangladesh. Input (Total Deposit, Cost of Fund and Salary Expenditure) and output (Finance to SME) data are collected on 45 banks which are dealt with SME for 13 quarters from $1^{st}$quarter of 2010 to $2^{nd}$quarter of 2013. Average performance of the SME banking is 0.716 in Bangladesh. That is, banks have opportunity to increase 30% performance in SME banking from the same inputs. Bangladesh Development Bank has lowest performance (0.540) while Eastern bank has the highest performance (0.753). Highest (0.743) and lowest (0.662) performance is observed during the second quarter of 2013 and fourth quarter of 2010 respectively. Inefficient Bank might be benefited by following the rules of efficient banks.

• Journal of the Korean Home Economics Association
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• v.39 no.2
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• pp.15-24
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• 2001

The purpose of this research was to investigate the factors affecting the labor supply of married women. Based on the theoretical review of the process for the labor supply of married women and the review of previous research, the emperical specification was deduced as a function of husband's income, assets, education and age, the number of children and home ownership. The data of this research was collected with questionnaire in 1998. The data consisted of the answers by 200 married women. For the measurement of the emperical specification, Logit, Tobit, and Selection Bias Corrected Regression which modifies selection bias were used. Although several different discussions can made depending on the measurement method, the emperical result of this research showed that the labor supply of married women is explained by husband's income, assets, the level of education and work experience.

• Journal of Society of Preventive Korean Medicine
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• v.19 no.3
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• pp.57-66
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• 2015

Objective : Private health insurance coverage in Korean medicine has been reduced since October 2009 for preventing unnecessary utilization. The aim of this study is to identify how private health insurance coverage reduction affects on the Korean medicine utilization. Method : We analyzed the Korea Health Panel data from 2008 to 2012. Panel negative binominal regression model was used to analyze the relationship between private health insurance coverage reduction and utilization of outpatient service. Panel tobit regression analysis was used to identify the relationship between private health insurance coverage reduction and health expenditure of outpatient service. Results : Private health insurance coverage reduction significantly dropped both utilization and health expenditure of outpatient service by 9%, 9.22% respectively. In addition, therapeutic utilization significantly decreased up to 10%. Conclusion : Private health insurance coverage reduction seems to have an effect to reduce both utilization and the health expenditure of Korean medicine outpatient service. This effect was more noticeable in the therapeutic utilization. Thus, more elaborate policy will be needed to prevent unnecessary utilization of Korean medicine.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.123-132
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• 2023

This study seeks to determine if the efficiency of bank human resources, as played by human capital, impacts the performance and diversification of banks. This study uses secondary data from data obtained from 385 commercial banks in 33 countries in Asia during the 2010-2020 period with the diversification analysis method. We use the Z-score to measure the amount of standard deviation that must be from earnings (ROAA). We examined it using the Tobit regression technique. According to the regression estimation results, human capital has a significant role in the performance and effective diversification of Asian banks. The human capital efficiency coefficient (HCE) is significantly negative with the cost-to-income ratio (CTIR) and significantly positive with Profitability, Financial Stability, and cost efficiency score. The level of efficiency of human resources has an effective role in increasing human capital which has an impact on bank diversification and performance. The development of human resources in a human capital framework plays an important role in the diversification and improvement of bank performance. Human capital has a significant role in the performance and effective diversification of Asian banks. The level of efficiency of human resources has an effective role in increasing human capital which has an impact on bank diversification and performance.

• Korean Journal of Agricultural Science
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• v.48 no.3
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• pp.545-555
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• 2021

This study aimed quantitatively to estimate the recent level of recognition of the public value of forests in Korea, to analyze the factors that affect their value, and to present implications. The average annual payment regarding the public value of forests estimated using the contingent valuation method was 234,170 won, broken down into 12 functionalities. The Tobit model was used to analyze demographic factors affecting the degree of willingness to pay, and the analysis showed that area of residence, age, marital status, occupation, household income, and visits to forest facilities all had statistically significant impacts on the degree of willingness to pay. Among these variables, living area (living in Seoul), marriage status (married), occupation (professional and office workers), and household income (more than the median income) were found to have a positive relationship with the degree of willingness to pay, while age and the number of visits to forest facilities were found to have a negative relationship. The implications are as follows: First, it is necessary to establish and implement policies to enhance positive perceptions of the various functions of forests and the legitimacy of protecting forest resources, considering that the public's valuation of various public functions provided by forests is directly related to changes in perception. Second, public evaluations of the public value of forests remain at a low level, meaning that education and promotions regarding the public value of forests need to be implemented and strengthened in the future. Finally, in order to form a consensus among people on the public functions of forests, customized promotions and educational events need to be implemented for non-Seoul residents, non-professionals, the unmarried, and for those who regularly visit forests.

• Korean Journal of Organic Agriculture
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• v.22 no.1
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• pp.1-23
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• 2014

The purpose of this paper was to measure technical efficiencies and scale efficiencies of Korean seed industry by DEA method, and to identify the factors affecting the efficiencies by Tobit regression model. Survey data of 50 seed companies nationwide were applied for the analysis. The average score of overall technical efficiency for the surveyed companies in 2012 was 0.44, which is decomposed into pure technical efficiency 0.68 and scale efficiency 0.63. A majority of the seed companies exhibited at least one form of inefficiency except a few companies in optimal scale. It was also shown the most companies were operating in the stage of increasing returns to scale, which implies Korean seed companies are mainly in smaller scale than optimal. Additional results suggest that the Center for Private Seed Companies, which will be established at Gimje in 2015, plays an important role to make domestic seed companies improve their scale efficiency as well as pure technical efficiency by way of enlarging their size and co-using the high technology in the Center.