• Title/Summary/Keyword: 허핀달지수

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Complex relationship between Hospital management performance and the degree of the regional competition (Focusing on the Regional Public Hospital) (의료기관의 지역 내 경쟁정도와 경영성과간의 융복합적인 관계(지방의료원을 중심으로))

  • Lee, Jin-Woo
    • Journal of Digital Convergence
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    • v.13 no.10
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    • pp.405-413
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    • 2015
  • The purpose of this study is to measure the level of competition in the degree of Regional Public Hospital that can provide a basis for establishing an effective management strategy and analysis of the financial performance. Investigation period of the Regional Public Hospital HHI(Herfindahl-Hirschman Index) over three years from 2010, which was unknown until 2012, index and management performance evaluation criteria, a total of 31 were selected as Regional Public Hospital surveyed. In the conclusions, it showed that the most concentrated market with high financial performance, a significant correlation between the degree of local competition and financial indicators showed. The Regional Public Hospital for trends according to the degree of competitive local medical market and therefore is required to establish policies and practices to ensure competitiveness and public interest in the region. The Regional Public Hospital in order to preempt the lead for the competitiveness of other institutions will be considered in the strategy, such as improving medical services and capital investment.

The Effect of the Characteristics of an Audit Committee on the Association between Audit Market Concentration and Audit Quality (감사위원회의 특성이 감사시장의 집중도와 감사품질 사이의 관계에 미치는 영향)

  • Song, Bomi
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.427-436
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    • 2020
  • Prior literature shows that audit market concentration which is measured as the Herfindahl index is negatively associated with audit quality in Korea. This study analyzes whether characteristics of an audit committee have effect on the relation between audit market concentration and audit quality. This is because it is expected that effective audit committees restrict the tendency of dominant auditors to neglect their duties. The empirical results of this study using the sample firms having an audit committee listed in the Korea Composite Stock Price Index market for 2006-2015 are summarized as follows. First, consistent with prior research, audit quality decreases as audit market concentration increases. However, audit quality is not lowered as audit market concentration rises only when the audit committee has financial expertise among representative characteristics of an audit committee - independence, financial expertise, and activity. This research finds contributions in that it explores the effect of audit committee characteristics on audit quality in consideration of audit market concentration and utilizes the differential types of the characteristics of an audit committee at the same time.

The Efficiency of Container Terminals in Busan and Gwangyang Port (부산항과 광양항의 컨테이너 터미널의 효율성)

  • Mo, Su-Won;Lee, Kwang-Bae
    • Journal of Korea Port Economic Association
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    • v.26 no.2
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    • pp.139-149
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    • 2010
  • This paper analyses the relative efficiency of 13 container terminals based on the data for the period 2003-8 to offer a fresh perspective. There has been abundant empirical research undertaken on the technical efficiency of Busan and Gwangyang port. Most studies have focused on the use of parametric and non-parametric techniques to analyse overall technical efficiency. Here, the framework assumes that terminals use two input to produce one output; the former includes container yard and container crane and the latter container volume. Jarque-Bera indicates that three variables are not normally distributed and the positive skewness shows that all the variables have long right tails. This means there are many small-scaled container terminals. This paper also employs heteroscedastic Tobit model to show the effect of the explanatory variables on the container terminal efficiencies. The Tobit model shows that both container yard and container cranes have positive effect on the container terminal efficiency, but container yard has a higher impact on the efficiency than the container crane.

Status and Prospect of the Korean Space Industrial Structure (국내 우주산업구조의 현황과 전망)

  • Baek, Kitae
    • Journal of Aerospace System Engineering
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    • v.16 no.2
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    • pp.1-12
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    • 2022
  • The purpose of this study was to investigate the supply and demand structure of the domestic space industry through analysis of industrial concentration index, by sector and dependence on revenue by customer type. As a result of industrial concentration analysis, in the case of space application, a supply monopoly or oligopoly structure was revealed in fields such as satellite broadcasting, space insurance, and satellite navigation. In the field of space equipment manufacturing, referred to as the traditional space industry, a supply monopoly structure appeared only in the field of launch pads and test facilities. As a result of analyzing the dependence on revenue by customer type, the dependence on the demand in the space application field is diversified among foreign countries, private institutions, and others. However, in the case of space equipment manufacturing, it is highly dependent on the demand of public institutions, and it seems that there is a monopsony structure.

Trend of Regional Economic Development Disparity, Convergence and Inverse U-type Hypothesis Test in China (중국 지역경제발전 격차의 추세, 수렴과 역U자 가설 검증)

  • KIM, Sang-Wook
    • International Area Studies Review
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    • v.13 no.2
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    • pp.226-253
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    • 2009
  • The study analyzes the trend of regional economic development disparity in China, sets up research period from 1952 to 2008, and uses the after-modified regional GDP data by the first national economic census in 2004. The results as follow. Firstly, the Coefficient of variation(CV) with after-modified GDP data lower than the pre-modified data. Secondly, generally speaking, after-reform and open period's disparity lower than pre-reform and open period. In particular, the regional development disparity increased slowly after 1990, not rapidly. Third, the new cycle of the inverse-U type is appeared from 2002. Fourth, compared with Herfindhal-Hirschman index(HHI) and Theil Entrophy index(TEI), the lower level regions more affect to reduce the disparity in 1980s, and it also affect to reduce the disparity after 2000. Fifth, the convergence hypothesis test finds that the regional economic development disparity has been converged in 1978-2008. Sixth, the inverse-U type hypothesis not has statistical significance, from 1952 to 2008, but it has statistical significance from 1991 to 2008. This result same as the CV and the convergence test.

Influence of the Business Portfolio Diversification on Construction Companies' Financial Stability (건설업체 사업 포트폴리오 다각화에 따른 건설업체 안정성 분석)

  • Jang, Sewoong
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.6
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    • pp.105-112
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    • 2014
  • The objective of this study is to examine the relationship between the degree of business diversification of a construction company and two of the indicators that represent financial stability, namely, a current ratio and a debt ratio, in order to draw policy implications. The current ratio and the debt ratio were used as variables that represent financial stability of a construction company. Berry-Herfindahl Index was used to measure the degree of business portfolio diversification of a construction company. For the analysis, quarterly time series data were retrieved from the financial information disclosure system of Korea's Financial Supervisory Service for the period between the first quarter of 2001 and the third quarter of 2013. The analysis results showed that a higher current ratio and a debt ratio led to a greater extent of business diversification. A higher level of business diversification led to a higher current ratio and a lower debt ratio. It was also shown that the impact of business diversification on the current ratio and the debt ratio outweighed the impact of changes in the current ratio and the debt ratio on business diversification. Meanwhile, an increase in the level of business diversification showed a quite positive effect as it raised the current ratio and lowered the debt ratio of a construction company. These findings suggest that diversification of business portfolio is essential for construction companies to strengthen their financial stability.

Structural Analysis for Ports of Korea-China Car Ferry using Shift Effect Method - Focusing on Incheon Port (전이할당 분석을 이용한 한중카페리 항만의 구조분석에 관한 연구 -인천항을 중심으로-)

  • Lee, Jinkyu;Yeo, Gitae
    • Journal of Korea Port Economic Association
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    • v.30 no.3
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    • pp.39-58
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    • 2014
  • Korea and China have maintained sea routes between two nations through the shipping conference which was established in May 1993. Due to this effort, the market of Korea-China car ferry on Yellow sea makes growth year by year. The car ferry business has shown fierce competition because it has huge impacts on regional and national level economy. In this respect, the aim of this research is to analyze the structural analysis for ports of Korea-China car ferry using Shift Effect(SE) method. As a results, passengers and cargo volumes of Incheon port continuously transfer to Pyeontaek and Gunsan port. Moreover, absolute growth rate of Incheon port do not reach the potential growth rate. The competitiveness power of Incheon port has lower position compared to Pyeontaek and Gunsan port. The cargo volumes of ports located on western coast of Korea have increased recently, however, passengers and cargo volumes of Incheon port have shown lower increasing rate compared to average of Korean western coast ports. For Incheon port, high value added cargoes which give large profit on port side, have to be attracted. Moreover, Incheon port has to become a specialized port.

The Effect of Meta-Features of Multiclass Datasets on the Performance of Classification Algorithms (다중 클래스 데이터셋의 메타특징이 판별 알고리즘의 성능에 미치는 영향 연구)

  • Kim, Jeonghun;Kim, Min Yong;Kwon, Ohbyung
    • Journal of Intelligence and Information Systems
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    • v.26 no.1
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    • pp.23-45
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    • 2020
  • Big data is creating in a wide variety of fields such as medical care, manufacturing, logistics, sales site, SNS, and the dataset characteristics are also diverse. In order to secure the competitiveness of companies, it is necessary to improve decision-making capacity using a classification algorithm. However, most of them do not have sufficient knowledge on what kind of classification algorithm is appropriate for a specific problem area. In other words, determining which classification algorithm is appropriate depending on the characteristics of the dataset was has been a task that required expertise and effort. This is because the relationship between the characteristics of datasets (called meta-features) and the performance of classification algorithms has not been fully understood. Moreover, there has been little research on meta-features reflecting the characteristics of multi-class. Therefore, the purpose of this study is to empirically analyze whether meta-features of multi-class datasets have a significant effect on the performance of classification algorithms. In this study, meta-features of multi-class datasets were identified into two factors, (the data structure and the data complexity,) and seven representative meta-features were selected. Among those, we included the Herfindahl-Hirschman Index (HHI), originally a market concentration measurement index, in the meta-features to replace IR(Imbalanced Ratio). Also, we developed a new index called Reverse ReLU Silhouette Score into the meta-feature set. Among the UCI Machine Learning Repository data, six representative datasets (Balance Scale, PageBlocks, Car Evaluation, User Knowledge-Modeling, Wine Quality(red), Contraceptive Method Choice) were selected. The class of each dataset was classified by using the classification algorithms (KNN, Logistic Regression, Nave Bayes, Random Forest, and SVM) selected in the study. For each dataset, we applied 10-fold cross validation method. 10% to 100% oversampling method is applied for each fold and meta-features of the dataset is measured. The meta-features selected are HHI, Number of Classes, Number of Features, Entropy, Reverse ReLU Silhouette Score, Nonlinearity of Linear Classifier, Hub Score. F1-score was selected as the dependent variable. As a result, the results of this study showed that the six meta-features including Reverse ReLU Silhouette Score and HHI proposed in this study have a significant effect on the classification performance. (1) The meta-features HHI proposed in this study was significant in the classification performance. (2) The number of variables has a significant effect on the classification performance, unlike the number of classes, but it has a positive effect. (3) The number of classes has a negative effect on the performance of classification. (4) Entropy has a significant effect on the performance of classification. (5) The Reverse ReLU Silhouette Score also significantly affects the classification performance at a significant level of 0.01. (6) The nonlinearity of linear classifiers has a significant negative effect on classification performance. In addition, the results of the analysis by the classification algorithms were also consistent. In the regression analysis by classification algorithm, Naïve Bayes algorithm does not have a significant effect on the number of variables unlike other classification algorithms. This study has two theoretical contributions: (1) two new meta-features (HHI, Reverse ReLU Silhouette score) was proved to be significant. (2) The effects of data characteristics on the performance of classification were investigated using meta-features. The practical contribution points (1) can be utilized in the development of classification algorithm recommendation system according to the characteristics of datasets. (2) Many data scientists are often testing by adjusting the parameters of the algorithm to find the optimal algorithm for the situation because the characteristics of the data are different. In this process, excessive waste of resources occurs due to hardware, cost, time, and manpower. This study is expected to be useful for machine learning, data mining researchers, practitioners, and machine learning-based system developers. The composition of this study consists of introduction, related research, research model, experiment, conclusion and discussion.

A Study on Business Diversification and Business Performance of Korean Mass Media Enterprises (국내 매스미디어 기업의 사업다각화와 경영성과에 관한 연구)

  • Chang, Yun-Hi
    • Korean journal of communication and information
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    • v.43
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    • pp.173-208
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    • 2008
  • This study analyses the business performance according to the business diversification of Korean mass media enterprises from year 2003 to 2006. The conclusions drawn which could be divided into five main parts are the followings: First, newspaper companies pursue unrelated diversification in various industrial areas, in order to gain maximum profit while broadcasting companies exert themselves to provide better service by diversifying the major contents. Second, overall the interviewed companies display a constant decline in profit gained from their major business area thus establishing strategies to broaden their focus on diversification of any sort. Third, the researcher completed group analysis in regard of diversification measure resulting in division of three groups. The group which had the most immense diversification range gained the highest ROE, the lowest ROE volatility, and lesser probability of risk taking. The analysis adresses the companies broadening their business areas by researching and focusing on diversification are relatively stable in terms of the profit they gain. Fourth, the middle level group in terms of sales scale, debts, enterprise history, major share rate and high ROE group carry out diversification progressively. The sales scale affects positively to diversification, while the major share rate affects negatively to diversification. Fifth, in accordance to the research, diversification overall contributes to obtainance of successful outcome. Since there was not an immense amount of studies to be referred in the media area, the researcher interviewed and did panel discussion with numerous strategists and managers who are in charge of diversification of media companies. However, collection of only 4 years of data limits the research to be considered to be a generalized study, and does not reflect time gap between business diversification and business performance. Development is required in future studies to be established regarding the media companies' specificity different to other industries, classified the media companies into media types, and consider the time gap in the diversification activities and business performance.

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The Impact of Declining Profits on Closures of Pediatric Clinics (소아청소년과 의원의 수익 감소가 폐업에 미치는 영향)

  • Jeong-Yoon Oh;Su-Jin Cho;Hyun-Jung Byun;Choon-Seon Park;Jin-Suk Cho
    • Health Policy and Management
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    • v.34 no.1
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    • pp.38-47
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    • 2024
  • Background: Korea's population of children and adolescents has decreased by 2.88 million over the past decade and is expected to decline further due to the unprecedented low birth rate. In the fee-for-service compensation system, the decline in the pediatric population relates directly to the profit decrease in the pediatric clinics. This study analyzed whether the worsening profits of pediatric clinics impacted their closure. Methods: We built annual data for pediatric and other department clinics (internal medicine, otolaryngology, and family medicine) using the status of medical institute and health insurance claims data from 2012 to 2022. Then, we analyzed whether institutional variables such as annual profit and regional variables (Herfindahl-Hirschman index, the number of clinics per 100,000, etc.) affected the closure of clinics. The methods used in this study are descriptive statistics and chi-square analysis. Odds ratios for each variable were estimated by generalized estimating equations (GEE). Results: The closure rate of pediatric clinics was 2.66%-7.04% in 2012-2022, which was consistently higher than those of internal medicine, otolaryngology, and family medicine clinics. The profit gap per institution between the pediatric and the other clinics grew from 126 million won in 2012 to 245 million won in 2019. In the GEE analysis, profit decrease compared to the previous year with lower profit was the main factor that increased the closure of pediatric and other department clinics. After adjusting profit-related variables, the decrease in the pediatric population itself did not relate to the closure of pediatric clinics. The number of pediatric clinics or monopolies also did not affect the closure of pediatric clinics. Conclusion: The worsening profit is the crucial factor for the closure of pediatric clinics, while the pediatric population is decreasing. For this reason, it is necessary to actively seek ways to maintain a stable treatment system for children and adolescents.