• Health Policy and Management
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• v.6 no.2
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• pp.58-90
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• 1996

This study provides an empirical analysis of location competition for demand maximization by central place theory among physicians in nonmetropolitan areas of Korea. The results show that the primary care physicians distribute themselves evenly from urban communities to rural communities. The subspecialists, however, cluster together in major cities rather than decentralize themselves in rural counties. This study establishes the three statistical models : Primary care physicians, subspecialist physicians, and total physicians. Two models of primary care physicians and total physicians have a strong significance in multiple regression analysis (p=-.0001). The primary care model explains approximately 45% of the variation and the total physicians model explains approximately 70% of the variation in physician/1,000 population ratios across national counties. The subspecialist physicians model analysze the tobit regreassion because of the left consored and truncated values(57 cases = 0). In all three models, analysis of the coefficiencts for physician centralization degrees in the 0- to 5- and 5- to 10-km rings around the core county reveals each a positive and negative association betwee these degrees and the physician/1,000 population ratios in the core county. Also, the results provide moderate evidence that the relationship between clinic physicians and community hospitals is competitive, and the relationship between clinic physicians and pharmaceutists is synergistic. This suggests that public policy makers and local self-governing bodies must take an active role to ensure procider availability and the regional health planning in all nonmetropolitan areas of Korea.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.161-175
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• 2021

This study analyzed the efficiency and influence factors according to the main research institute type of R&D Program for the local community problem-solving. This study applied data envelopment analysis (DEA) method and Tobit regression analysis by using 20 institutions that participated in R&D Program. The results are summarized as follows. First, Analysis results according to the research institute type of R&D project, Efficient DMUs showed more regional innovation institutions than social economy enterprises. But regional innovation institutions were the lowest in the CCR and BCC model. However, efficiency dose not differ between regional innovation institutions and social economy enterprises. Second, as a result of the analysis relation between efficiency and allocation characteristics of R&D input, the participation of regional innovation organizations as participating organizations has a negative effect on efficiency. It was found that the higher the proportion of government subsidies and the higher the employment rate of the vulnerable, which is a social achievement, the positive effect on efficiency. The implication of this study is that the participation of social economy enterprises as the main R&D institution and government R&D support can provide social economy enterprises with opportunities to accumulate R&D capabilities and experience successful commercialization.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.3
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• pp.1-10
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• 2018

The purpose of this study is to improve effectiveness of Korea's Official Development Assistance (ODA) provided to developing countries. To do this, we analyze the efficiency of ODA provided to 38 recipient countries by Korea through data envelope analysis method. The effects of four factors including population, GDP, economic decline and poverty, and external intervention on efficiency are also investigated by utilizing tobit regression analysis. As a result of the DEA efficiency analysis, it is found that the average efficiency score of the total is about 59%. By region, the average efficiency score of Asia, Africa, Central and South America, and the East and CIS (Commonwealth of Independent States) are about 42%, 68%, 70%, and 74%, respectively. It indicates that the Asian countries are inefficient compared to countries of the other regions. It is also found that factors of population, GDP, economic decline and poverty, and external intervention have statistically significant effects on efficiency at 0.01 significance level. In the case of the population, the higher the population of the recipient country, the more negative (-) effect is on the efficiency. The other factors such as GDP, economic decline and poverty, and external intervention have positive effects on the efficiency.

• Journal of Agricultural Extension & Community Development
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• v.23 no.1
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• pp.15-25
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• 2016

In this study, we examined the awareness of consumers purchasing Punica granatum by conducting a survey on consumption of Punica granatum for the consumer panel of the Rural Development Administration (RDA) and derived the purchasing characteristics from the actual purchase date analyzed in a Linear regression model and Tobit model. Most consumers had been purchasing Punica granatum for health and beauty, and the proportion of that consumers were willing to repurchase Punica granatum was 93.1%. The result of examining the biggest considerations in 5 point scale when choosing a Punica granatum was in the order of freshness (4.37)> price (4.15)> safety (4.13)> size(3.86)> brand (3.27)> discount event (2.76). When we compared the results between a linear regression model and tobit model, the signs of all variables are consistent with each other. However, it was estimated that all absolute values of the coefficient values in the results of the tobit model analysis were larger than the values in the linear regression model, except for the "favorite purchasing place" of a weekday traditional markets. Punica granatum is known as a good fruit for postmenopausal women and it seems that the higher age is, the more purchase there will be. The more income a housewife had, the greater purchase there was. In the case of the purchase amount, a selecting for a eating pleasure was bigger than a selecting for a need of health. Therefore, it is necessary to develop Punica granatum with a taste in consumer preferences.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.43-49
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• 2019

The purpose of this study is to estimate the expenditure determinants of the leisure goods consumption market. In order to achieve the research purpose, 6597 samples of household trend survey data were used. Tobit model was applied to estimate expenditure determinants. As a result of analysis, expenditure determinants for sporting goods were influenced by marital status, education level, age, number of households, housing ownership and income level. The variables influencing spending on leisure items such as mountain climbing, fishing and hunting items were influenced by gender, marital status, education level, age, number of households, housing ownership and income level. The analysis results can be used as policy data for the establishment of leisure culture. The National Statistical Office's household trend survey is a yearly survey through a nationwide survey, but despite the fact that it is reliable data, it is not possible to apply various variables such as psychological characteristics to estimate consumer expenditure determinants more concretely. Has a limit of.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.241-249
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• 2024

Using the panel data of 31 regions in China from 2006 to 2021, this paper analyzes the efficiency and influencing factors of the fiscal expenditure on compulsory education in China. Through the analysis found that the efficiency of some economically developed regional is lower, but the efficiency of economically backward regional is higher. In order to further analyze the influencing factors of the efficiency of fiscal expenditures on compulsory education, using Tobit model is analyzed. It is found that regional per capita GDP and fiscal self-sufficiency rate have a negative impact on the efficiency of fiscal expenditure on compulsory education. Age structure, percentage of fiscal expenditure on compulsory education and level of teachers have a positive impact on the efficiency of fiscal expenditure on compulsory education. Fiscal decentralization has no significant effect on the efficiency of fiscal expenditure on compulsory education.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.6
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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.

• Health Policy and Management
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• v.29 no.3
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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.

• Korean Journal of Agricultural Science
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• v.45 no.3
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• pp.533-545
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• 2018

The aims of this study were to examine whether there are consumer segments that have a propensity to be deal prone in purchasing processed foods and to identify those characteristics of consumers that reflect their deal proneness. Thus, raw data from the Korea Consumer Attitude Survey was analyzed by frequency, factor analysis, and Tobit regression. The major findings are as follows. Individual deal proneness are different according to regional and socio-economic characteristics, and the lifestyle of the consumers also affects deal proneness. Socio-economic variables that have significant impacts on deal proneness for processed foods are residential areas, preferred lifestyle types, sex, age, educational background of the household head and type of store mostly used. With regard to lifestyle, it was found that consumers with a lifestyle that includes convenience, brand pursuit, and convenience are more likely to have a higher degree of deal proneness for processed foods. From the results based on different food groups, it was found that deal proneness for different food groups is affected by the areas, types of sales promotion, and socio-economic characteristics of the consumers. This result suggests that the differences in the consumption of processed foods and deal proneness are indicative for the need to use marketing strategies that consider the characteristics of consumers.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.6
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• pp.1629-1639
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• 2016

This study is to estimate the production efficiency of abalone aquaculture and to find its determinants utilizing the survey data of operating expenses in 2015. The first part of the analysis applied both DEA and Super-DEA for the estimation of efficiency of each aquaculture household as DMU. We used wages, feeding costs and area as inputs and annual profits and sales as outputs of the model. The second part of the study applied both Tobit and OLS for the identification of determinants of the efficiency. We investigated cost-ratio, depreciation costs, careers, value of living seeds, cleaning costs of farming ground and a ratio of 1 and 2 year-old abalone at shipment as potential determinants. The estimation results show us that the average technical efficiency, pure technical efficiency, and scale efficiency score turn out to be 72%, 81% and 85% respectively. The Super-BCC and Super-CCR models reveal their average efficiency scores as 81% and 80%. All of the variables used to identify the determinants of the efficiency. The study results suggests that the production efficiency can be improved by cleaning farming ground and hence lowering the death rate of seeds.