• 한국산학기술학회논문지
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• 제18권4호
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• pp.614-623
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• 2017

본 연구는 지방의료원의 효율성과 재무성과를 평가한 후 효율성에 영향을 미치는 영향요인에 대한 분석을 시행하고자 한다. 또한 병원의 투입 및 산출요소를 선정하여 어떠한 요소가 효율성에 영향을 미치고 있는가 뿐만 아니라 지방의료원의 시장점유율과 운영방식, 그리고 병원 규모 등 환경적 요인을 이용한 효율성 분석을 하였다는 점에서 선행연구와의 차별성이 있다고 할 수 있다. 조사대상은 2012년부터 2014년까지 3년간 31개 지방의료원의 DEA지수와 재무성과를 산출하였으며, 분석방법은 ANOVA, 위계적 회귀분석 등을 이용하였다. 연구결과를 보면, 지방의료원의 도시규모, 병상 수 등 환경적 요인과 경영실적, 생산성, 공공성에 따라서 효율성의 유의한 차이를 나타났으며, 의료수익의료이익율(p<0.05), 인건비투자효율(p<0.05), HHI(p<0.05)가 효율성에 영향을 미치는 것으로 나타났다. 앞으로 지방의료원의 비효율성 파악과 효율성을 높이기 위해서는 위한 투입되는 자원에 대한 효율성 측정과 함께 비용절감의 노력이 필요하다. 또한 지방의료원이 민간병원과의 경쟁에서 경쟁우위를 확보 할 수 있는 진료의 특성화된 기능을 갖는 등 전문화 서비스 제공의 노력이 이어진다면, 운영효율성을 높여 공공의료기관으로서의 역할을 충실히 할 것이다.

• 디지털융복합연구
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• 제16권5호
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• pp.185-197
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• 2018

종목 수가 급증하고 있는 한국 ETF 시장을 분석하여 투자효율성이 어느 정도 인가를 규명하여 ETF 투자자들에게 투자방향을 제시하는 것이 연구목적이다. 연구절차와 방법은 2010년~2018년에 거래된 ETF를 대상으로 국내ETF 및 해외 ETF, 기초자산, 추적배수의 종류별로 수익률 결과 및 변화추이, 상관관계, 회귀분석을 하였다. 연구결과, 국내 ETF의 전체 수익률은 3.51%로서 코스피 상승률 보다 낮았으며, 주식 ETF 수익률도 4.03%로서 코스피 상승률 보다 낮았다. 레버리지 ETF 수익률도 3%이하여서 투자자들이 기대했던 수익률 보다 낮았으며, 채권 ETF와 통화 ETF의 수익률은 1%이하였고, 인버스 ETF 수익률은 마이너스를 보였다. 가장 수익률이 높은 것은 인덱스 ETF였고, 다음은 국내주식 ETF, 레버리지 ETF, 해외 ETF 순이다. 연구기여도는 투자자 입장에서 실제로 달성 가능한 투자효과를 분석하여 ETF를 매입할 때 고려사항을 정립한 데 기여하였고, 향후연구방향은 ETF 자료를 많이 축적해서 ETF 투자방향을 더 정밀하게 제시하고자 한다.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.349-360
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• 2020

The study aims to empirically examine the determinants of bank margins from Pakistan, an emerging South Asian economy. To elucidate the importance of the Pakistani banking sector, secondary data has been used, which was extracted from the annual accounts of twenty-four Pakistani scheduled commercial banks (20 conventional, four full-fledged Islamic) over a sample period of 2006 to 2017. The factors identified in the dealership model and the subsequent empirical developments in the dealership model categorized as bank-specific, diversification, regulatory, and industry concentration are analyzed by applying the most-common linear dynamic panel-data estimator, the Generalized Method of Moments (GMM) estimator, developed by Arellano and Bond (1991). The findings reveal that, among the bank-specific variables, funding cost, credit risk, managerial efficiency, market share, and operating cost are significant predictors of bank margins. For diversification variables employed in the study, both variables including net non-interest income and asset diversity are as well significant predictors of bank margins. It is also found that the market concentration variable proxied by the Herfindahl-Hirschman Index (HHI) is significantly predicting bank margins. Subsequently, one of the regulatory variables, the opportunity cost of holding reserves, and one bank-specific variable, the degree of risk aversion, are insignificant in the model.

• 전기학회논문지
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• 제59권6호
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• pp.1017-1024
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• 2010

Under the Kyoto Protocol many countries have been requested to participate in emissions trading with the assigned $CO_2$ emissions. In this environment, it is inevitable to change the system and market operation in deregulated power systems, and then ensuring safety margin is becoming more important for balancing system security, economy and $CO_2$ emissions. Nowadays, available transfer capability (ATC) is a key index of the remaining capability of a transmission system for future transactions. This paper presents a novel approach to the ATC evaluation with $CO_2$ emissions using multi-objective particle swarm optimization (MOPSO) technique. This technique evolves a multi-objective version of PSO by proposing redefinition of global best and local best individuals in multi-objective optimization domain. The optimal power flow (OPF) method using MOPSO is suggested to solve multi-objective functions including fuel cost and $CO_2$ emissions simultaneously. To show its efficiency and effectiveness, the results of the proposed method is comprehensively realized by a comparison with the ATC which is not including $CO_2$ emissions for the IEEE 30-bus system, and is found to be quite promising.

• Asian Journal of Business Environment
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• 제10권2호
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• pp.33-41
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• 2020

Purpose: This study assesses the marketing practices and value-added fish products under the Coral Reef Rehabilitation and Management Program (COREMAP) in East Indonesia. Research design, data and methodology: This study gathered qualitative and quantitative data through i) focus group discussions (FGD) with fishers, traders and COREMAP officers, ii) surveys and iii) interviews with fishermen and traders. This study surveyed 714 households (365 in COREMAP and 349 in non-COREMAP) and 33 traders (17 in COREMAP and 16 in non-COREMAP) using structured questionnaires between January and March 2016. This study used Shepherd's Index to estimate the marketing efficiency for each stage of the marketing channel. For value-added fish products, the value is determined by the difference between processed output and the raw product used. Results: Marketing cost in the non-COREMAP area was more efficient than in COREMAP as indicated by lower operational cost and higher selling price. However, no value-added fish products were produced in the non-COREMAP area. This study noted a lower catch in COREMAP area, which implies COREMAP program successfully reduced fishing pressure. Conclusions: This study identified poor infrastructure and the limited market as the major problems in developing value-added fish products in both COREMAP and non-COREMAP area.

• 한국환경과학회지
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• 제26권9호
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• pp.1087-1099
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• 2017

Emergy methodology was used to analyze the biophysical basis of Korean agriculture and assess its sustainablility. Total yearly emergy input into Korean agriculture was $7.72{\times}10^{22}sej/yr$ in 2013. Purchased inputs were the dominant emergy source, accounting for 90.1% ($6.95{\times}10^{22}sej/yr$) of the annual input. This clearly indicates that the Korean agriculture is a modern, industrialized system that depends mostly on market goods and services derived from nonrenewable resources. The monetary equivalent of the total emergy input was 18.9 trillion \/yr, 1.5 times greater than the total production cost from farm expense surveys. Emergy return on investment of Korean agriculture was low, with an emergy yield ratio of 1.11. Korean agriculture appears to exert pressure on the environment as revealed by the high environmental loading ratio of 9.30. With very low emergy input from renewable sources (9.7%) and high environmental pressure, Korean agriculture is not sustainable, with an emergy sustainability index of 0.12. This study suggests that higher use efficiency of and lower dependence on nonrenewable purchased inputs need to be prioritized in an effort to enhance the sustainability of Korean agriculture.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.525-532
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• 2021

This study examines the association between a firm's business strategy and audit report lags. This study employs 5,072 firm-year observations from 2015 to 2019. Our sample comprises all of the firms listed on the Korea Composite Stock Price Index (KOSPI) market and Korea Securities Dealers Automated Quotation (KOSDAQ). We perform OLS regression analysis to test our hypothesis. The OLS regression analysis was conducted through the SAS and STATA programs. We find that business strategy is positively associated with audit report lags. Especially, we find that defender firms are negatively associated with audit report lags. The findings of this study suggest that prospector-like firms would increase their performance uncertainty as well as audit risk. Therefore, prospector-like firms interfere with the efficient audit procedures of auditors. On the other hand, our findings indicate that defender-like firms would decrease their performance uncertainty as well as an audit risk because they focus on simple product lines and cost-efficiency. For this reason, auditors will be able to carry out the audit procedures much more easily. Our results present that a prospector-like business strategy degrades audit effectiveness as it exacerbates a company's financial risk, willingness to accept uncertainty, and the complexity of organizational structure.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제26권1호
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• pp.23-48
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• 2022

In this paper, we provide predictive models for the market price of fruits, and analyze the performance of each fruit price predictive model. The data used to create the predictive models are fruit price data, weather data, and Korea composite stock price index (KOSPI) data. We collect these data through Open-API for 10 years period from year 2011 to year 2020. Six types of fruit price predictive models are constructed using the LSTM algorithm, a special form of deep learning RNN algorithm, and the performance is measured using the root mean square error. For each model, the data from year 2011 to year 2018 are trained to predict the fruit price in year 2019, and the data from year 2011 to year 2019 are trained to predict the fruit price in year 2020. By comparing the fruit price predictive models of year 2019 and those models of year 2020, the model with excellent efficiency is identified and the best model to provide the service is selected. The model we made will be available in other countries and regions as well.

• Asian-Australasian Journal of Animal Sciences
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• 제16권12호
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• pp.1705-1710
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• 2003

A small body size of Brown Tsaiya laying duck is desirable to reduce maintenance requirements, so the body weight at 40 weeks of age (BW40) has to be maintained at its current level. Egg weight has to be maintained at around 65 g to meet market requirements. Eggshell strength at 40 weeks of age (ES40) must to be increased in order to maintain a low incidence of broken eggs. Thus, number of eggs laid up to 52 weeks of age (EN52) has to be increased without negative correlated response on ES40. A new linear genetic selection index was used: $I_g=a_0{\times}GEW40\;(g)+a_1{\times}GBW40\;(g)+a_2{\times}GES40\;(kg/cm^2)+a_3{\times}GEN52\;(eggs)$ where GEW40, GBW40, GES40 and GEN52 were the multitrait best linear unbiased prediction (MT-BLUP) animal model predictors of the breeding values respectively of egg weight and body weight at 40 weeks of age (EW40, BW40), ES40 and EN52. The coefficients $a_0$, $a_1$, $a_2$ and $a_3$ were calculated with constraints of 0.0 g, 0.0 g and $0.013kg/cm^2$ for expected genetic gains in EW40, BW40 and ES40 respectively and maximum gain in EN52. Since 1997, the drakes and the ducks were selected according to their own indexes, with this new genetic selection index. From G0 to G4, the average per generation predicted genetic responses in female duck were +0.05 g for EW40, +0.92 g for BW40, $+0.035kg/cm^2$ for ES40 and +2.13 eggs for EN52. Which represented respectively 0.07%, 0.06%, 0.67% and 1.0% of the means of the EW40, BW40, ES40 and EN52. For ES40 and EN52, it represented also respectively 16.1% and 21.6% of the additive genetic standard deviation of these traits. Thevse results indicated that selection of laying Brown Tsaiya by a restricted genetic selection index and with MT-BLUP animal model could be an efficient tool for improving the efficiency of egg production, increasing egg shell strength and egg number while holding egg weight and body weight constants.

• 한국병원경영학회지
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• 제22권4호
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• pp.33-49
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• 2017

Purpose: 요추질환 환자의 의료이용과 진료비가 지속적으로 증가하고 있다. 그 동안에 병원과 전문병원의 증가에 의한 경쟁 심화가 최근 요추수술 현황에 영향을 미쳤을 것이다. 하지만 아직 병원시장 경쟁이 병원 효율성에 영향을 미쳤을 것이라는 실증적 근거가 부족하다. Methodology: 본 연구는 2002년도, 2010년도 국민건강보험 표본코호트 자료와 보건복지부 한국보건사회연구원 환자조사 퇴원환자자료를 바탕으로 퇴행성 요추질환 입원환자 총 24,768명을 대상으로 하였다. 시장구조-시장행태-시장성 (S-C-P) 모형을 적용하여 혼란변수를 보정한 후, 환자수준, 병원수준 변수를 포함하여 다수준 혼합모형을 이용하여 분석하였다. Findings: 병원경쟁이 증가할수록 퇴행성 요추질환 입원환자의 진료비 (${\beta}=57.5$, p<.0001 in 2002; ${\beta}=353.7$, p<.0001 in 2010) 와 재원일수 (${beta}=0.3$, p<.0001 in 2002; ${beta}=0.9$, p<.0001 in 2010) 가 감소하였으며, 그 정도는 2002년에 비해 2010년에 그 연관성의 정도가 더 크게 보였다. 그러나 병원경쟁이 진료비와 재원일수에 미치는 영향은 병원 규모에 따라 다르게 나타났다. Practical implications: 이러한 결과를 토대로 병원 경쟁과 같은 시장구조가 진료비, 재원일수 등의 병원 효율성에 영향을 미친다는 결론을 내릴 수 있었다. 그러므로 병원성과에 영향을 주는 시장구조의 변화에 대한 정부의 관심이 요구된다. 또한 향후 경쟁이 환자 만족도와 같은 성과에 미치는 효과에 대한 보다 상세한 분석이 필요하다.