• Journal of the Korea Safety Management & Science
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• v.11 no.4
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• pp.261-267
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• 2009

The purposes of this article is to analyse how market competition of credit card company affect price(interest rate) and survival length of card users. This paper uses individual account data from a large Korean credit card company during the periods from 2002 to 2006. The findings of our study are as follows. First, market competition of credit card company have a negative effect with interest rate of credit card. Second, market competition of credit card company have a affirmative effect with survival length. Finally, The effect of Increasing delinquency rate due to price increase is smaller than decreasing delinquency rate due to extending survival length.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.25-37
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• 2022

Investment decisions are one of the most fundamental issues in financial management. This study aims to determine the factors that affect investment decisions in the energy industry and to contribute to the companies in this industry to develop strategic policies. The System GMM analyzes were carried out using the data of companies registered on the stock exchange for the period 2000-2015. The findings showed that industrial competition and firm size were important factors influencing the investment decisions of firms in the energy industry. The findings indicated a nonlinear relationship between industrial competition and the rate of investment in the energy sector. Depending on the firm's size, the effect of industrial competitiveness on investment varies. Smaller businesses are more impacted by the level of competition than larger ones. The investment rate decreases depending on the increase in cash holding level and firm risk. When the subgroups in the energy industry are examined, it is determined that they reveal some differences in terms of financial structure. A higher investment rate results from a higher retained earnings ratio. The investment rate of firms falls as a company's risk level and sales revenue variability increase.

• The Journal of the Korean dental association
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• v.54 no.12
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• pp.971-984
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• 2016

The increase rate of dentists' competition is very fast at metropolitan areas in South Korea. We compare metropolitan and rural parameters to investigate the relation between competition and revenue variation. The competition and revenue variables of 73 metropolitan and 75 rural areas were calculated from 2010 Census of Service Industry microdata which include non-insurance revenues of dental clinics. Independent sample t-test results showed that the level of competition among dental clinics in metropolitan areas is higher. The lowest and the low ranked revenues are higher in rural areas. The highest and the average revenues are higher in metropolitan areas. But, 25 percentile and median revenues has no significant difference between two areas. Simple log linear regression results showed that the number of clinics could explain the distribution of revenues in both areas better than the density of active dentists and Herfindahl-Hirschman index. In the areas with many clinics have high maximum and average revenues and low minimum revenues. The increasing rate of maximum revenues is higher in metropolitan areas though the decreasing rate of minimum revenues is higher in rural areas. Metropolitan areas have higher Gini coefficients than rural areas, but the increasing rate of Gini coefficients is lower than rural areas. Findings from this study are useful reference when the dentists select the opening areas. One is that the median revenues between metropolitan and rural areas have no significant difference. The other is that the rural areas ensure the more stable and uniform revenues. The results would help to relieve the consumptive competition among dentists and to achieve the distributional efficiency of dental human resources.

• Proceedings of the Korea Port Economic Association Conference
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• 2006.08a
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• pp.253-276
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• 2006

This paper has shown the trend of competition positioning of 26 Korean ports in 1994, 1999, and 2003 by using BCG matrix which consists of relative market shares, growth rate of cargo handling, and also growth rate and CCR and BCC efficiency scores with scale efficiency scores in the vertical and horizontal axes. The empirical main results are as follows. First, Incheon Port, Pyungtag Port, Gwangyang Port, Busan Port, Pohang Port and Woolsan Port have shown their competitive positioning in terms of market share and growth rate. Second, Pyungtag Port, Wando Port, Tongyoung Port, Gohyun Port, Samcheog Port, and Okgae Port have their competitive positioning in terms of growth rate and scale efficiency scores. The main policy implication of this paper is to emphasize that BCG matrix method using in this paper can give seaport manager the basic information for planning the future port management for enhancing the competitive positioning among Korean seaports.

• Industry Promotion Research
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• v.2 no.2
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• pp.15-22
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• 2017

This study The study analyzed the effect of the advertisement method of admission at Korea Polytechnic University on the competition rate for entrance to university. A total of 66 questionnaires were analyzed among freshmen and undergraduates at Korea Polytechnic University in Seoul. The first study revealed that the ground promotion (p<.01, ${\beta}=.363$) had an effect on the competition rate, with the ground promotion having a statistical effect on the competition rate and therefore having a significant competitive edge. Second, it was analyzed that the ground promotion and registration rates were correlated to the $p{\times}.01$ level with the. 297 level of media promotion and registration rates. Third, although the motivation for knowing the junior high school records and the Korean Polytechnic University did not significantly affect the registration rates, it was found that there were group differences because the admission patterns were higher than usual on time. This study analyzes the effect of the admission promotion method on the competition rate of the university, identifying the importance of ground advertisement, media promotion to the competition rate and registration rate, and identifying the effectiveness of characteristic factors.

• Journal of Korean society of Dental Hygiene
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• v.23 no.4
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• pp.303-309
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• 2023

Objectives: According to the Korea Education Development Institute, the college admission quota is expected to exceed the number of high school graduates, leading to an anticipated expansion in the gap between them. This paper aims to conduct an empirical analysis of the variables previously studied, with a specific focus on the admission competition rate for the department of dental hygiene. Methods: The research methodology is the multiple linear regression analysis. The research data contains the structured data from academy information, and the web-based unstructured data collected over the past 3 years. Results: After conducting the analysis, it was newly discovered that the university's online recognition and its location in the metropolitan area were statistically significant factors influencing the admission competition rate for the department of dental hygiene. Conclusions: The findings of this study are expected to be helpful in formulating admission strategies for universities to attract new students and identifying the factors that influence student attraction.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.151-159
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• 2018

This study analyzes the impact of competitions clinics on the total treatment cost and anti-biotics prescription rate. The result of implementing the basic statistics, correlations, and regression analysis by facilitating the evaluation data by Health Insurance Review & Assessment Service in 2015 for acute otitis media in children is shown as follows. First, there is a significant difference for each si-gun-gu for the competition index between total treatment cost and clinics, but there is almost no significant difference for the anti-biotics prescription rate. Second, competition in clinics has statistically important impact on the total examination cost And, third, competition in clinics has no statistically important impact on the anti-biotics prescription rate. There is a need for additional studies on re-examination rate, treatment cost per visit and so forth in order to clarify other factors of competition for medical institutions impacting on the physician behavior in the future studies.

• Journal of The Korea Institute of Healthcare Architecture
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• v.27 no.4
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• pp.15-27
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• 2021

Purpose: This study compares and analyzes the design drawing changes that occur during the design process between hospital design competition and the final detailed design. Based on this, factors that can reduce the rate of changes in drawings are derived. The purpose is to provide basic data to lessen the rate of the changes in the process of architecture design and can be reflected in the design competition guidelines. Methods: In this study, cases of hospitals are selected which are built in 5 recent years. Then compare and analyze the drawings which was drawn in the process from submission of competition to final design. After investigating the design changes that occur after the design competition, analyze the fixed-elements which are the main causes of design changes. Fixed-elements can be narrow down into few architecture-factors such as vertical-core, shafts, public-corridor, HAVC, and mechanical/electrical spaces. Results: Result of the rate of changes in each selected hospital floors can be sorted into variable-elements and fixed-elements which tells that the higher the rate of changes of the fixed-elements, the higher the rate of changes of the variable-elements. Implications: In other words, it can be said as the lower the change rates of the fixed-element, lower changes in whole design changes which represents that the greater the efficiency can be shown in the design process.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.18-24
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• 2022

State highway agencies (SHAs) typically apply a competitive procurement procedure to select contractors for their design-bid-build projects. Since the level of competition affects construction bid prices and project outcomes, the Federal Highway Agency (FHWA) suggests SHAs seek ways to improve competition among contractors continuously. However, they rarely conduct an empirical assessment of the current competition level necessary to identify room for improvement. Besides the number of bidders on a project, other factors such as winning or losing rates among the contractors in previous projects can also indicate the degree of competition; only a few contractors may have won the majority of the projects in a specific region. However, few studies have investigated such factors. This paper proposes a network analysis-based approach to evaluating contractor competition levels of highway projects using historical bid tabulation data. The proposed method provides insights into overall competition levels, the determination of competitive contractors, and winning rate distribution among contractors.

• KDI Journal of Economic Policy
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• v.32 no.2
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• pp.144-170
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• 2010

This paper considers the effect of various types of procurement auction system on competition focusing on the rate of successful bidding. We analyze the number of bidders and the rate of successful bids using online procurement data of the Public Procurement Service. The average number of bidders is 301 and the average rate of successful bids is 87.42% while the weighted average rate is 75.13%. These numbers show that there is quite strong competition among bidders and the rate is lower as the expected price is higher. When we analyze the data of price procurement auction, the rate is also shown to be lower as the expected price is higher. Furthermore, the rate decreases as the number of bidders increases which naturally makes the competition stronger. Meanwhile, the analysis finds that the inclusion of the onsite bidding, the PQ(Pre-Qualification) result, or major-10 winning companies cannot explain the rate much in our data. In case of turnkey-alternative, the average rate of successful bidding for 484 cases record 90.20%. The average is 84.89% with 120 alternatives and 91.97% with 364 cases of turnkey. The reason why the rate of turnkey-alternative is lower than that of price procurement auction is the lack of competition as well as the systematic difference. By setting up a model, we are able to explain the difference in rate caused by the respective reason. When we suppose there are 3 bidders in case of price procurement auction for a project that exceeds 100 billion won, the rate is expected to be around 64%. This implies that difference of 26% is caused by the systemic difference and 3% by the lack of competition. Therefore, we conclude that the difference in rate between turnkey-alternative and price procurement auction is caused mainly by the systemic difference. In case of PPP(Public Private Partnership) projects, among 154 projects in total, only 40% has more than 2 bidders that compete. The average number of bidders is 1.88 which is less than 2, and the average rate of successful bids is 90%. In sum, under the price procurement auction, there is strong competition which is reflected by the rate of successful bids. However, there is room to decrease the rate by strengthening the competition under the turnkey-alternative. Also with PPP projects, we expect the rate can be steadily reduced with revived competition among bidders.