• 제목/요약/키워드: Tobit Analysis

검색결과 173건 처리시간 0.024초

중심지이론을 이용한 의사의 지역적 분포에 관한 실증분석 (An Empirical Analysis on Geographic Distribution of Physicians using the Central Place Theory)

  • 김춘배;강명근;고상백;김한중;유승흠;손명세
    • 보건행정학회지
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    • 제6권2호
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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.

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지역사회 문제해결형 R&D 효율성 및 영향요인에 관한 연구 (A Study on Efficiency of Community Problem-solving Type R&D and Influencing Factors)

  • 민현구
    • 디지털산업정보학회논문지
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    • 제17권4호
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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.

공적개발원조 사업의 효율성 분석을 통한 미래 정책 방향성 : 우리나라 ODA 사업 수혜국을 중심으로 (The Korea's Future ODA Policy Direction through Efficiency Analysis : Focusing on the Beneficiary Countries of ODA Projects Provided by Korea)

  • 남현동;김대철
    • 산업경영시스템학회지
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    • 제41권3호
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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.

석류 소비자 구매의식과 구매특성 분석 (Analysis on Awareness and Characteristics of Consumers Purchasing Punica Granatum)

  • 김미옥;조용빈
    • 농촌지도와개발
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    • 제23권1호
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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.

레저문화 소비시장의 지출결정요인에 관한 연구 (A Study on Determinants of Expenditure in Leisure Culture Consumption Market)

  • 이승길
    • 문화기술의 융합
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    • 제5권4호
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    • pp.43-49
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    • 2019
  • 본 연구의 목적은 레저용품 소비시장의 지출결정요인을 추정하는데 있다. 연구목적을 달성하기 위해 통계청의 가계동향조사 자료중 6597개의 표본을 이용하였다. 지출결정요인을 추정하기 위해 Tobit모형을 적용하였으며 분석결과, 스포츠용품에 대한 지출결정요인은 결혼여부, 교육수준, 연령, 가구 내 세대수, 주택소유여부, 소득수준이 스포츠 용품 지출에 영향력을 가지고 있는 변수로 분석되었다. 등산용품, 낚시용품, 사냥용품과 같은 레저용품의 지출에 영향력을 미치는 변수는 성별, 결혼여부, 교육수준, 연령, 가구 내 세대수, 주택소유여부, 소득수준이 영향력을 가지고 있는 것으로 나타났다. 이와 같은 분석결과는 레저문화를 정착시키기 위한 정책 자료로 활용할 수 있을 것으로 판단된다. 통계청의 가계동향조사는 전국적인 설문조사를 통해 매년 계속되는 자료로 신뢰할 수 있는 자료임에도 불구하고 소비자의 지출결정요인을 보다 구체적이고 세밀하게 추정하기 위한 심리적인 특성과 같은 다양한 변수를 적용할 수 없다는 연구의 한계점을 가진다.

Analysis of the Efficiency and Influencing Factors of Fiscal Expenditure on Compulsory Education

  • Yanan Sun;Qingsong Pang;Sangwook Kim
    • 한국컴퓨터정보학회논문지
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    • 제29권1호
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    • pp.241-249
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    • 2024
  • 본 연구는 의무교육에 대한 재정지출의 효율성에 미치는 영향 요인을 분석하고 있다. 중국의 의무교육도 다른 국가와 마찬가지로 주로 재정지출에 의존하고 있다. 본 연구는 우선 2006-2021년 기간 동안 중국의 31개 지역을 대상으로 의무교육에 대한 재정지출의 효율성을 추계한다. 의무교육에 대한 재정지출의 효율성은 지역경제발전 수준이 상대적으로 높은 지역이 오히려 낮게 나타나고 있으며, 지역경제발전 수준이 상대적으로 낮은 지역의 효율성이 높게 나타나고 있다. 그리고 효율성을 종속변수로 설정하고 1인당 GDP, 재정자립도, 연령구조, 재정지출의 비중, 교사의 수준을 설명변수로 설정하여 Tobit모형을 이용하여 효율성의 영향요인을 분석하였다. 분석 결과에 의하면 1인당 GDP와 재정자립도는 효율성에 통계적 유의성이 나타나지 않으며, 연령구조, 재정지출의 비중 그리고 교사의 수준은 정(+)의 통계적 유의성이 나타나고 있다.

기후 요소가 해파리 출현에 미치는 영향 분석 (An Analysis of the Impact of Climatic Elements on the Jellyfish Blooms)

  • 김봉태;엄기혁;한인성;박혜진
    • 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.

우리나라의 건강수요 및 의료수요에 대한 분석: Grossman Model을 중심으로 (An Analysis on the Health and the Medical Demand in Korea: Using the Grossman Model)

  • 황용하;사공진
    • 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.

Analysis of factors influencing the deal proneness of consumers for processed foods

  • Park, Jaehong
    • 농업과학연구
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    • 제45권3호
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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.

완도지역 전복 양식어가 생산의 경영효율성 분석 (Analysis of Management Production Efficiency for Abalone Aquaculture in Wando Area)

  • 강한애;박철형
    • 수산해양교육연구
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    • 제28권6호
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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.