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Research on Factors Influencing the Change of the Types of the Occupation and the Income by Medical Expenditure (의료비 지출이 종사상 지위 및 소득변화에 미치는 요인연구)

  • Ji, Eun-Jeong
    • Korean Journal of Social Welfare
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    • v.56 no.3
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    • pp.5-35
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    • 2004
  • This research is about the change of the occupation and the income of the subscriber of the medical expenditure due to the economic influence on them. The data of this study are based on 4,215 of medical cost payers among respondents of the survey on "Health and Retirement", which was the fourth additional research of Korea Labor and Income Panel Survey. The main findings of this study are as follows: First, the average medical cost is 5.5% of the income. The ratio of the medical cost to an earned income is highly different between low-income group and high income group. For the low income group, the medical cost reaches up to 1/3 of the total family income. That proves that the medical cost si a heavy burden on them. The group with the high medical expenditure seems to be supported by their own private property and other family members whenever it is needed. But it doesn't show the exact sources of the property, which includes the fund from the interests and real estates. On the other hand, only 14.4% of the subscribers changed their job status on the 5th year, and 85.6% of those kept their job status until the 5th year from the 4th year. This shows that the amount of the medical cost could be the important factor for them to change their job; for example, it is crucial whether the medical expenditure is over the average rate or not. Furthermore, the change of the occupation caused by the medical cost has the negative influence on the gross income. It makes the economic conditions of the family get worse. Therefore, the health insurance in Korea is lack of the compensational function, which substitutes the family income reduced by the change of the job status due to the high medical cost.

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An Assessment of Notice Exposure by Job and Dosimeter Parameters Setting in Automobile Press Factory (자동차 프레스 공정에 있어서 직무 및 누적소음기 설정치 차이에 따른 작업자의 소음노출 평가)

  • Jeong, Jee Yeon;Park, Seunghyun;Yi, GwangYong;Lee, Naroo;You, Ki Ho;Park, Junsun;Chung, Ho Keun
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.11 no.3
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    • pp.190-197
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    • 2001
  • Noise-induced hearing loss(NIHL) was the highest rate (43.5%~58.5% from 1996 to 1998) of positive findings through specific medical program in Korea. There were much more NIHL at workers of automobile manufacturing factories than other manufacturing factories. The specific aim of the present study was to determine the noise exposure of automobile press lines, according to their job titles, press line types(auto, semiauto), dosimeter parameters setting. There were a total 11 press lines sampled at a automobile manufacturing company. Among those press lines, 10 press lines were autolines with acoustic enclosure, one semiauto press line was no aucostic enclosure Noise exposure data were sampled for an work shift using noise dosimeter, which recorded both time-weighted average(TWA) and 1-min average. The mean OSHA TWA(Korea TWA with threshold 90) was $80.7dB(A){\pm}4.7dB(A)$ for leader, $82.8dB(A{\pm}4.5dB(A)$ for pallette man, $76.7dB(A){\pm}4.3dB(A)$ for press operators, $76.6dB(A){\pm}5.6dB(A)$ for crane operators, $77.1dB(A){\pm}2.8dB(A)$ for forklift drivers, whereas the mean NIOSH TWA was $88.9dB(A){\pm}1.7dB(A)$ for leader, $89.6dB(A){\pm}2.1dB(A)$ for pallette man, $86.7dB(A){\pm}1.8dB(A)$ for press operators, $88.5dB(A){\pm}2.0dB(A)$ for crane operators, $87.7dB(A){\pm}1.0dB(A)$ for forklift drivers. While L10 for NIOSH TWA samples was 84.8 dB(A) ~ 87.3 dB(A), L10 for OSHA TWA samples was 69.5 dB(A) ~ 77.4 dB(A). L10 means that the TWA for 90% of the samples exceeded L10. Among OSHA TWA(Korea TWA with threshold 90) samples for pallette man, 7.7 % exceeded 90 dB(A), the OSHA permissible exposure level, but OSHA TWA samples for the other job titles didn't. Among NIOSH TWA samples, the samples over 85 dB(A), the NIOSH recommended exposure limit, was 100% (leaders), 83.3 %(operators), 97.4%(palletteman), 100%(forklift drivers), 91.7 %(crane operator). The results of One-way random effects analysis of variance models shows that the difference between job titles was significant by OSHA TWA(p<0.05), but not significant by NIOSH TWA(p>0.05). NIOSH TWA samples were significantly higher than OSHA TWA samples(P<0.05). Regression analysis was used to obtain relationships between OSHA TWA samples and NIOSH TWA samples. In this case the coefficient of determination = 0.90, which shows the high degree association between two methods. Regression equation, NIOSH TWA = 0.552 * OSHA TWA + 42.13 dB(A), shows that if OSHA TWA is known, NIOSH TWA can be predicted by the equation. The mean TWA difference between threshold 80 dBA and 90 dBA was significant(p<0.01). While the TWA noise exposures were 7.7% above the Korea(OSHA) PEL, they were more than 83.3% over NIOSH REL. Automobile workers were exposed to noise level that could be potentially damaging to their hearing. It found that there is approximately 25% excess risk of hearing loss even if a worker is protected to the PEL in according to NIOSH study.

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The Present State and Curriculum Implementation Overview of the Nursing-Specialized Vocational High Schools (특성화고등학교 간호과 운영 현황 및 교육과정 운영실태 분석)

  • Yoon, In-Kyung;Jang, Myung-Hee;Lee, Hyun-Young
    • Journal of vocational education research
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    • v.35 no.4
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    • pp.19-46
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    • 2016
  • The purpose of this study is to analyze the curriculum implementation of the Nursing-Specialized Vocational High School by researching on operation, organization and environment of the program of Nursing. This study aims to improve the curriculum of the Nursing-Specialized Vocational High School. This study has analyzed previous existing studies, Link of School info, Educational Statistics and data indicating establishment, operation and curriculum of the department of Nursing which have been collected from web sites of institutions and associations relevant to Nurse Education. The major results of this study are as follows: 1) As of the first semester of the year 2016, out of a total of thirty eight Specialized Vocational High Schools and Meister High Schools in the country, 6.4% of the schools have nursing educational programs. These schools have established the programs under various names, such as Health Nursing, Dental Health Nursing, Nursing, Nursing and Medical Tourism, Accounting in Nursing and Nursing Management, etc. Since 2012, enrollment rates have increased while post-graduation employment rates have decreased, with the average employment rate of Specialized Vocational High School graduates having reached up to 46% by 2015. 2) The Nursing-Specialized Vocational High School aims to create skilled Nurses Assistant such as Nurse Aide and Care giver. The program is successful in providing necessary courses to acquire required certification and proficient field experience but requires revisional changes in order to create a long-term program of sufficient qualification. The official requirement of 780 hours of field practice was completed during the three educational breaks from the first year of high school to the second year, while the curriculum was conducted separately in the field hospitals. 3) An average of two laboratory classrooms were available based on the facility requirement standard of Cities and Provinces Educational Policies. In order to secure proficient instructors of Nursing education, establishment of specific indicated subjects, regional placement, in-service education, research and supervision are essential for establishing excellence and continual improvement.

A study on the introduction of organic waste-to-energy incentive system(I): Precise monitoring of biogasification (유기성폐자원에너지 인센티브제도 도입방안 연구(I): 바이오가스화 정밀모니터링)

  • Kwon, Jun-Hwa;Moon, Hee-Sung;Lee, Won-Seok;Lee, Dong-Jin
    • Journal of the Korea Organic Resources Recycling Association
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    • v.29 no.4
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    • pp.67-76
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    • 2021
  • Biogasification is a technology that produces environmentally friendly fuel using methane gas generated in the process of stably decomposing and processing organic waste. Biogasification is the most used method for energy conversion of organic waste with high moisture content, and is a useful method for organic waste treatment following the prohibition of direct landfill (2005) and marine dumping (2013). Due to African Swine Fever (ASF), which recently occurred in Korea, recycling of wet feed is prohibited, and consumers such as dry feed and compost are negatively recognized, making it difficult to treat food waste. Accordingly, biogasification is attracting more attention for the treatment and recycling of food waste. Korea's energy consumption amounted to 268.41 106toe, ranking 9th in the world. However, it is an energy-poor country that depends on foreign imports for about 95.8% of its energy supply. Therefore, in Korea, the Renewable Energy Portfolio Standard (RPS) is being introduced. The domestic RPS system sets the weight of the new and renewable energy certificate (REC, Renewable energy certificate) of waste energy lower than that of other renewable energy. Therefore, an additional incentive system is required for the activation of waste-to-energy. In this study, the operation of an anaerobic digester that treats food waste, food waste Leachate and various organic wastes was confirmed. It was intended to be used as basic data for preparing the waste-to-energy incentive system through precise monitoring for a certain period of time. Four sites that produce biogas from organic waste and use them for power generation and heavy gas were selected as target facilities, and field surveys and sampling were conducted. Basic properties analysis was performed on the influent sample of organic waste and the effluent sample according to the treatment process. As a result of the analysis of the properties, the total solids of the digester influent was an average of 12.11%, and the volatile solids of the total solids were confirmed to be 85.86%. BOD and CODcr removal rates were 60.8% and 64.8%. The volatile fatty acids in the influent averaged 55,716 mg/L. It can be confirmed that most of the volatile fatty acids were decomposed and removed with an average reduction rate of 92.3% after anaerobic digestion.

Analysis of Pedigree Structure and Inbreeding Coefficient for Performance Tested Holstein Cows in Korea (우리나라 Holstein 능력검정 젖소 집단의 혈통구조 및 근교계수 분석)

  • Won, J.I.;Dang, C.G.;Lim, H.J.;Jung, Y.S.;Im, S.K.;Lee, J.K.;Kim, J.B.;Cho, M.R.;Min, H.L.;Yoon, H.B.
    • Journal of agriculture & life science
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    • v.50 no.2
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    • pp.107-116
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    • 2016
  • The study was aimed to analyze pedigree structure and inbreeding coefficients for performance tested Holstein cows in Korea. A total of 400,029 Holstein cows data which born between 2002 and 2012 were obtained from Dairy Cattle Improvement Center of National Agricultural Cooperative Federation(NACF). Their related pedigrees, as obtained from Korean Animal Improvement Association(KAIA), consisted of 509,740 animals. Pedigree depth of the cows were traced back to 3 generations earlier. The percentage of cows with fully identified ancestors in various provinces of Korea were 55.18%(Gyeonggi-do), 23.49%(Gangwon-do), 47.83%(Chungcheongnam-do), 53.62%(Chungcheongbuk-do), 56.38%(Gyeongsangbuk-do), 51.35% (Gyeongsangnam-do), 26.58%(Jeollanam-do), 49.41%(Jeollabuk-do), and 56.90%(Jeju-do), whereas, it was about 63.20% as a whole in Korea. The average inbreeding coefficients showed increment across the consecutive years of birth such as, 0.43(2002), 0.44(2003), 0.58(2004), 0.64(2005), 0.78(2006), 0.93(2007), 1.08(2008), 1.23(2009), 1.46(2010), 1.77(2011), and 2.03 (2012). However, this coefficient was 0.93 in overall Korean population. An average generation interval for sire to daughter genetic path was 8.15 years; which was about 4.20 years considering dam to daughter genetic path. The estimated effective population sizes (Ne) were 56.5, 51.3, and 32.2 animals born in 2004, 2009, and 2012, respectively. These results indicated that an increased rate of inbreeding has led to a significant reduction in the Ne over the decade.

The Application of Customer Relationship Management for the Effective Prenatal Care (효과적인 산전관리를 위한 고객관계관리(CRM)의 도입)

  • Shin, Sook;Paik, Soo-Kyung;Kang, Sung-Hong;Kim, Yu-Mi
    • Korea Journal of Hospital Management
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    • v.10 no.1
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    • pp.93-114
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    • 2005
  • The prenatal care is the preventive medical service to help the pregnant mother deliver the healthy baby. It's regular examines give some chances to check-up the healthy conditions. This thesis concentrates on the CRM system to support an effective prenatal care system and prove the effectiveness of it. As CRM is the adapted management related to the customer's own information, it is important to develop the CRM model classified by the patients characteristics. A general hospital in Busan operated the CRM system to carry out the effective prenatal care and there is an analysis to ensure the effectiveness of CRM system for the pregnant women in our maternity ward. The results can be summarized as follows: 1) According to the comparisons with the CRM system, we can conclude the system is desirable. (1) Maternal Age : In the age distribution, the prenatal visit frequency, triple marker freqency, oral GTT and targeted ultrasonography in the experimental group in 30 to 34 years old is higher on the whole. For over 35 years old group, the higher frequency comes out in the oral GTT and targeted ultrasonography and for 25 to 29 years old group the different figure shows just in the targeted ultrasonography. (2) Area of residence: There is a clear difference in all the items in Busan and near area but no sign of difference in prenatal visits and oral GTT in other residencial area. Especially in the targeted ultrasonography the higher figure shows in the experimental group located in the both areas. The targeted ultrasonography is known as the specific examination which should be examined by the specialists, on the contrary the other examinations can be operated in the small clinic. So the public information and seminars related with ultrasonography increases the check-up frequency. The clinic requests some ultrasonographical examinations to the specialists in general hospital. (3) Parity: The clear difference shows that the CRM system causes the prenatal visit frequency to become higher in experimental group. The figure is 9.7 times and 8.6 times each. This is opposite that the past study said multiparity reduced the average prenatal visits. But the result of CRM is considered as the method to help the multiparity understand the importance of the prenatal care. (4) Obstetrical history: In the experimental group of the spontaneous delivery group, the figure is higher in the prenatal visit frequency, triple marker, oral GTT and targeted ultrasonography but the Caesarean section delivery group has higher figure in targeted ultrasonography. (5) In the first check-up, the rate of targeted ultrasonography in under 16 week pregnancy, in the 16 week pregnancy to 32 week pregnancy and the over 32 week pregnancy in the experimental group is upper than the compared one. For the oral GTT, there is a difference in under 16 week pregnancy but no difference in prenatal visits and triple marker. 2) The analysis of characteristics of prenatal care through the decision tree resulted in the fact that the most important variable is the residential area. After the delivery frequency is following, the obstetrical history and maternal age are in order. It is the same result in the triple marker and oral GTT. Consequently it is the same order of important variables in CRM system. The effectiveness of CRM system is proved in this study. The CRM system is a marketing method to control and lead the customers through the segmentation of customer data. It increases the new customer aquisition, maintenance of loyal customers, augmentation of customers value, activation of potential customers and creation of life time customers. So eventually it can enlarge the customers value. The medical institution should make efforts to establish the data base enforced by the customer's information on the underlying ordinary data system to carry out the CRM system effectively. In addition, it should develop the a variety of marketing strategy in order to set up one to one marketing satisfying the needs of individual patients.

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Increasing Accuracy of Classifying Useful Reviews by Removing Neutral Terms (중립도 기반 선택적 단어 제거를 통한 유용 리뷰 분류 정확도 향상 방안)

  • Lee, Minsik;Lee, Hong Joo
    • Journal of Intelligence and Information Systems
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    • v.22 no.3
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    • pp.129-142
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    • 2016
  • Customer product reviews have become one of the important factors for purchase decision makings. Customers believe that reviews written by others who have already had an experience with the product offer more reliable information than that provided by sellers. However, there are too many products and reviews, the advantage of e-commerce can be overwhelmed by increasing search costs. Reading all of the reviews to find out the pros and cons of a certain product can be exhausting. To help users find the most useful information about products without much difficulty, e-commerce companies try to provide various ways for customers to write and rate product reviews. To assist potential customers, online stores have devised various ways to provide useful customer reviews. Different methods have been developed to classify and recommend useful reviews to customers, primarily using feedback provided by customers about the helpfulness of reviews. Most shopping websites provide customer reviews and offer the following information: the average preference of a product, the number of customers who have participated in preference voting, and preference distribution. Most information on the helpfulness of product reviews is collected through a voting system. Amazon.com asks customers whether a review on a certain product is helpful, and it places the most helpful favorable and the most helpful critical review at the top of the list of product reviews. Some companies also predict the usefulness of a review based on certain attributes including length, author(s), and the words used, publishing only reviews that are likely to be useful. Text mining approaches have been used for classifying useful reviews in advance. To apply a text mining approach based on all reviews for a product, we need to build a term-document matrix. We have to extract all words from reviews and build a matrix with the number of occurrences of a term in a review. Since there are many reviews, the size of term-document matrix is so large. It caused difficulties to apply text mining algorithms with the large term-document matrix. Thus, researchers need to delete some terms in terms of sparsity since sparse words have little effects on classifications or predictions. The purpose of this study is to suggest a better way of building term-document matrix by deleting useless terms for review classification. In this study, we propose neutrality index to select words to be deleted. Many words still appear in both classifications - useful and not useful - and these words have little or negative effects on classification performances. Thus, we defined these words as neutral terms and deleted neutral terms which are appeared in both classifications similarly. After deleting sparse words, we selected words to be deleted in terms of neutrality. We tested our approach with Amazon.com's review data from five different product categories: Cellphones & Accessories, Movies & TV program, Automotive, CDs & Vinyl, Clothing, Shoes & Jewelry. We used reviews which got greater than four votes by users and 60% of the ratio of useful votes among total votes is the threshold to classify useful and not-useful reviews. We randomly selected 1,500 useful reviews and 1,500 not-useful reviews for each product category. And then we applied Information Gain and Support Vector Machine algorithms to classify the reviews and compared the classification performances in terms of precision, recall, and F-measure. Though the performances vary according to product categories and data sets, deleting terms with sparsity and neutrality showed the best performances in terms of F-measure for the two classification algorithms. However, deleting terms with sparsity only showed the best performances in terms of Recall for Information Gain and using all terms showed the best performances in terms of precision for SVM. Thus, it needs to be careful for selecting term deleting methods and classification algorithms based on data sets.

Image analysis of Specialized Vocational high school recognized by middle school student (중학생이 인식하는 특성화 고등학교 이미지 분석)

  • Kim, Yeong-Hun;Kim, Tae-Hoon
    • 대한공업교육학회지
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    • v.38 no.2
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    • pp.114-135
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    • 2013
  • The purpose of this study is to provide base line data for right concept and identity establishment of Specialized Vocational high school, to identify recognition of Specialized Vocational high school, to analyze image of Specialized Vocational high school recognized by middle school student. The population was all middle school third year students in Korea. Using random sampling technique, 50 classes of 61 schools were sampled for the study. A survey questionnaire used Semantic Differential(SD) suggested by Osgood(1957). SD consisted of a number of adjective pairs, finally, this study used 11 adjective pairs to have validity. 1,198 out of 1,441 questionnaire were returned (a return rate of 83.14%), among which 935 were used for the analysis after data cleaning. An alpha level of 0.05 was established a prior for determining significance. All data analysis was accomplished using the SPSS 20.0 Win. Based on the finding of the study, the major results of the this study were as follows : 1. Higher average is female students' image of Specialized Vocational high school than male students' that, but, The difference between the two samples was not statistically significant. 2. It was only 20% that receive career education of Vocational high school. It is necessary to accomplish and expand career education of Specialized Vocational high school for proper career education from middle school, to realize career exploration and decide one's career path based on one's specialty. 3. They have positive images who hope for going on to the Specialized Vocational high school of education than the others. 4. It is necessary to accomplish and expand career education of Specialized Vocational high school for proper career education from middle school, to realize career exploration and decide one's career path based on one's specialty, because the result was statistically significant. 5. They have the more possitive image of Specialized Vocational high school, the more know it, totally.

Analyzing the Efficiency of Korean Rail Transit Properties using Data Envelopment Analysis (자료포락분석기법을 이용한 도시철도 운영기관의 효율성 분석)

  • 김민정;김성수
    • Journal of Korean Society of Transportation
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    • v.21 no.4
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    • pp.113-132
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    • 2003
  • Using nonradial data envelopment analysis(DEA) under assumptions of strong disposability and variable returns scale, this paper annually estimates productive. technical and allocative efficiencies of three publicly-owned rail transit properties which are different in terms of organizational type: Seoul Subway Corporation(SSC, local public corporation), the Seoul Metropolitan Electrified Railways sector (SMESRS) of Korea National Railroad(the national railway operator controlled by the Ministry of Construction and Transportation(MOCT)), and Busan Urban Transit Authority (BUTA, the national authority controlled by MOCT). Using the estimation results of Tobit regression analysis. the paper next computes their true productive, true technical and true allocative efficiencies, which reflect only the impacts of internal factors such as production activity by removing the impacts of external factors such as an organizational type and a track utilization rate. And the paper also computes an organizational efficiency and annually gross efficiencies for each property. The paper then conceptualized that the property produces a single output(car-kilometers) using four inputs(labor, electricity, car & maintenance and track) and uses unbalanced panel data consisted of annual observations on SSC, SMESRS and BUTA. The results obtained from DEA show that, on an average, SSC is the most efficient property on the productive and allocative sides, while SMESRS is the most technically-efficient one. On the other hand. BUTA is the most efficient one on the truly-productive and allocative sides, while SMESRS on the truly-technical side. Another important result is that the differences in true efficiency estimates among the three properties are considerably smaller than those in efficiency estimates. Besides. the most cost-efficient organizational type appears to be a local public corporation represented by SSC, which is also the most grossly-efficient property. These results suggest that a measure to sort out the impacts of external factors on the efficiency of rail transit properties is required to assess fairly it, and that a measure to restructure (establish) an existing(a new) rail transit property into a local public corporation(or authority) is required to improve its cost efficiency.

A Comparison on Efficiency of Specialized Credit Finance Companies Using a Meta-Frontier (메타프론티어 분석을 이용한 여신전문금융회사의 효율성 비교)

  • Cho, Chanhi;Lee, Sangheun;Lee, Hyoung-Yong
    • Knowledge Management Research
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    • v.22 no.3
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    • pp.151-172
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    • 2021
  • The government's implementation of customer-friendly financial policies, such as lowering commission fees for credit card merchants and lowering the maximum interest rate, put the specialized credit finance companies in a crisis of lowering profitability. In this unfavorable situation, the efficiency study of specialized credit finance companies is meaningful. Accordingly, this study measured the efficiency of 34 specialized credit finance companies through Data Envelopment Analysis (DEA) and meta-frontier analysis. For meta-frontier analysis, specialized credit finance companies were divided into two groups (card companies and non-card companies) by industry or three groups (AA0 and above, AA-, and A+ or below) by credit rating. The results of the analysis will provide general insight into the efficiency of specialized credit finance companies. The results of this study are as follows. First, the average meta-efficiency of card companies was analyzed higher than that of non-card companies. Second, 80% of non-card's decision-making units (DMUs) were inefficient by pure technology rather than by scale. Third, decision-making units (DMUs), which account for 62.5% of the credit card company group and 80% of the 'AA-' credit rating group, are in non-economic areas of scale. Fourth, there was no statistically significant difference in meta-efficiency values (TE and PTE) by industry (card companies, non-card companies) and credit rating (AA0 or higher, AA-, A+ or lower). The contribution of this study will provide strategic initiatives for establishing management strategies to improve inefficiency by measuring the efficiency level of companies under an unfriendly business environment for specialized credit finance companies.