• Title/Summary/Keyword: 효율 성

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An Efficiency Analysis of the Mobile Telecommunication Companies in China (중국의 이동통신기업의 효율성 분석)

  • Kim, Sang-Wook;Tan, Xiao-Yi
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.01a
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    • pp.401-403
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    • 2014
  • 본 논문에서 DEA 방법과 Malmquist 지수를 이용하여 중국의 이동통신서비스 사업자들의 상대적 효율성을 분석하고 있다. 중국의 이동통신서비스시장은 급성장하고 있으며 특히 2008년의 합병을 통한 구고조정은 시장의 새로운 환경을 제공하고 있다. 이러한 구조조정을 배경으로 본 연구는 2002년-2012년을 분석기간으로 설정하여 합병 전과 합병 후의 상대적 효율성을 비교하고 있다. 투입변수는 총자산, 종업원 수, 자본투입을 포함하고 있으며 산출변수는 영업총수입과 순이윤을 포함하고 있다. 분석 결과에 의하면 2002년-2012년 기간 동안 평균 효율성은 개선되지 못하고 있으나 합병 후인 2009년-2012년 기간에는 이동통신서비스 사업자들의 평균 효율성은 개선되고 있는 것으로 나타났다.

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한국 전기업(電氣業)에 대한 효율성(效率性) 분석

  • Lee, Myeong-Heon
    • Environmental and Resource Economics Review
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    • v.6 no.1
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    • pp.45-57
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    • 1996
  • 공기업(公企業)이 정부의 수익성사업이나 국가기간사업을 독점적으로 수행함에 있어 야기되는 X-비효율성 및 기술혁신의 결여, 사기업(私企業)의 경우와 달리 이윤극대화라는 단일 목적만을 추구할 수 없는 공기업(公企業)의 경영여건, 노사분규로 인한 요소사용비율의 변화, 그리고 각종 정부규제등 여러 제약된 여건하에서 생산요소의 비효율적 배분으로 인하여 생산비용의 최소화가 이루어지고 있다고는 볼 수 없다. 본 연구에서는 공기업(公企業)을 대상으로 실증적으로 시장가격의 함수인 암묵가격(暗默價格)(shadow price)을 설명변수로 사용하는 일반비용함수(一般費用函數)(generalized cost function)를 추정한 후, 효율성검정을 실시하여 생산비용의 최소화여부를 알아본다. 한국 전기업의 '88년 '93년의 2년간 10개 시 도별 자료를 사용하여 효율성검정을 실시한 결과, 생산비용의 최소화는 이루어지고 있지 않음을 알 수 있었다. 생산의 비효율성으로 인하여 비용은 평균 27.4% 증가되었으며 자본과 노동은 각각 적정수준보다 평균 10.6%, 2.1% 만큼 적게 사용된 반면, 연료는 255% 만큼 필요 이상으로 사용되었다.

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A comparative analysis of terminal efficiency on Northeast Asia and America container ports (동북아 지역과 미국 주요 컨테이너항만간의 효율성 비교 - DEA 기법을 중심으로 -)

  • Ha, Myun-Shin
    • Journal of Korea Port Economic Association
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    • v.25 no.3
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    • pp.229-250
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    • 2009
  • This paper aims to implement an empirical research about the efficiency of America and Northeast Asia pots, and to suggest an effective strategy which can operate these ports more well. This study tries to apply the Data Envelopment Analysis(DEA) model to America and Northeast Asia ports. DEA is a methodology of comparing the relative efficiency of each decision making unit(DMU) by comparing it with other DMUs having similar input and output structure, and is specially very useful when a form of production function of each DMU such as a port is not known. DEA provides the extent of inefficiency of DMUs, which is practically useful information (like the efficiency score and reference sets) required to improve efficiency. This paper analyzed the relative efficiency of 35 ports in America and Northeast Asia for 3 years from 2005 to 2007 through DEA-CCR, DEA-BCC model and scale efficiency. Accordingly, this paper evaluates the efficiency of America and Northeast Asia ports, grasps the position at the present time, and suggests an advanced direction in future.

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A Comparative Analysis of Terminal Efficiency in Northeast Asia Container Ports (동북아시아 주요 컨테이너항만의 효율성 비교연구)

  • Li, Duo;Kwak, Kyu-Seok;Nam, Ki-Chan;An, Young-Mo
    • Journal of Navigation and Port Research
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    • v.39 no.1
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    • pp.55-60
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    • 2015
  • The purpose of this study is to suggest a major strategy to become effective for each port in Northeast Asia by analyzing the relative efficiency of each port to determine the current level of efficiency, efficient harbors plan. Individual port of the major 16 ports in Northeast Asia was analysed targeting efficiency and relative efficiency. In this study, DEA technique was used. Of the DEA model, CCR (constant returns to scale) models and BCC (variable return to scale) model was applied to analyze the efficiency and effectiveness of the port. Then the efficiency measured through CCR model is again compared with the efficiency measured by the BCC model. In this way, the empirical analysis includes the input factors of the operating ports such as the number of berths, wharf, depth, total area of the pier, C / C numbers and output elements includes the container throughput. The results of the study show that most of the ports in China is efficient whereas those in Korea and Japan are relatively inefficient. There are some pairs of ports which has the similar input factors, like Busan port and Shanghai port, Lianyungang port and Incheon port, Dalian port and Gwangyang port, but the container throughput of them has a huge difference.

A Brief Verification Study on the Normalization and Translation Invariant of Measurement Data for Seaport Efficiency : DEA Approach (항만효율성 측정 자료의 정규성과 변환 불변성 검증 소고 : DEA접근)

  • Park, Ro-Kyung;Park, Gil-Young
    • Journal of Korea Port Economic Association
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    • v.23 no.2
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    • pp.109-120
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    • 2007
  • The purpose of this paper is to verify the two problems(normalization for the different inputs and outputs data, translation invariant for the negative data) which will be occurred in measuring the seaport DEA(data envelopment analysis) efficiency. The main result is as follow: Normalization and translation invariant in the BCC model for measuring the seaport efficiency by using 26 Korean seaport data in 1995 with two inputs(berthing capacity, cargo handling capacity) and three outputs(import cargo throughput, export cargo throughput, number of ship calls) was verified. The main policy implication of this paper is that the port management authority should collect the more specific data and publish these data on the inputs and outputs in the seaports with consideration of negative(ex. accident numbers in each seaport) and positive value for analyzing the efficiency by the scholars, because normalization and translation invariant in the data was verified.

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The Effects of Mobile Smart-Work IT Resources of Resource Based View on the Work Efficiency : based on moderating effects of the perceived usefulness (자원기반관점(RBV)에서 모바일 스마트워크 IT자원이 업무효율성에 미치는 영향 - 지각된 유용성의 조절효과를 중심으로 -)

  • Lee, Min-Woo
    • Journal of Digital Convergence
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    • v.14 no.7
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    • pp.93-102
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    • 2016
  • The purpose of this study is to examine the effects of the Mobile Smart-Work IT resources on the work efficiency based on moderating effects of the perceived usefulness in the Resource Based View. The study has academic meanings and practical implications that studied widely based on moderating effects of the perceived usefulness through the Hierarchical regression furthermore on the existing study on hypothesis by standard multiple regression. The results showed that IT Infrastructure in the Mobile Smart-work IT resources by moderating effects of the perceived usefulness was found to bring positive effect on individual work efficiency and teamwork efficiency. On the other hand Business Application was found to bring positive effect on teamwork efficiency. Therefore, we expect that business firm and employees actively use the effects of the perceived usefulness with the trust that Mobile Smart-work IT resources bring positive effects on the work efficiency. It can improve this work efficiency and lead to strengthening the firm competitiveness.

A Study on Urbanization Efficiency analysis of China's 31 provinces and cities (중국 31개 성 및 직할시의 도시화 효율성 분석에 관한 연구)

  • Zhou, Yi Xi;Jeon, Jun-Woo;Kim, Hyung-Ho
    • Journal of Digital Convergence
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    • v.17 no.12
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    • pp.147-157
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    • 2019
  • The purpose of this study is to analyze the efficiency of urbanization in 31 provinces and cities in China, including both desirable and non-expected outputs produced during the urbanization process. Efficiency was analyzed by applying the SBM-DEA model using the urbanization calculation data of 2017 in 31 provinces and cities in China. The results show that the urbanization efficiency of eastern region is the highest, followed by central region and northeast region, and the urbanization efficiency of western region is the lowest. This study is meaningful in that it analyzes the efficiency of urbanization in 31 provinces and cities in China and suggests the direction of continuous urbanization policy. This study is limited in that it does not reflect the past trend only by conducting cross-sectional analysis for one year in 2017, and it is necessary to comprehensively evaluate urbanization efficiency by conducting additional longitudinal area analysis in the future.

A Study of The Influential Factors of Efficiency in Korean and Chinese Banks (한국과 중국 은행산업의 효율성 영향요인에 관한 실증분석)

  • Zhu, Hui-Qin;Li, Ming-Ji
    • International Area Studies Review
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    • v.16 no.3
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    • pp.99-118
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    • 2012
  • This study have done comparative analysis of Korean banks' restructure and Chinese banks' reformation, especially derives main factors that influence existence and improvement of competitiveness of Korean banks. The study measured effectiveness of 15 Chinese banks and 13 Korean banks, and conducted empirical analysis of what are the factors affect the efficiency of banks. The result and implication are as follow. First, Korean commercial banks' efficiency is higher than banks in China, but Chinese commercial banks are getting better every year. Second, as the factors affect efficiency of the banks, it shows that the scale of bank, asset reliabilities, ownership structure and financial performance are significant. Third, about the factors affect efficiency, the ownership structure, financial intermediation ratio, and the health of the assets are significant in Chinese banks. Fourth, about the factors affect efficiency, the financial performance and asset reliability are significant in Korean banks. Based on the results, we have identified current problems of Chinese and Korean banks, and also pointed out Korean banks and Government how to improve competitiveness of Bank industry.

A Time Series Study on Management Efficiency of Public Institutions

  • Ji-Kyung Jang
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.9
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    • pp.159-165
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    • 2023
  • This study aims to analyze the changes in the management efficiency of public institutions in time series, and to examine the relationship with financial performance based on the results of time series changes. Specifically, we classified into upper and lower groups of financial performance based on the government's management evaluation results, and analyze how the management efficiency of each group changed in the period before the evaluation year. Based on public institutions published in public business information system, DEA(Data Envelopment Analysis) was performed for estimating management efficiency. The results are summarized as follows; First, we find that DEA of the upper group changed in the direction of increasing, but DEA of the lower group changed in the direction of decreasing. Second, we find that there is a significant positive relation between DEA and financial performance. This result means that the higher financial performance, the higher management efficiency. These findings imply that management efficiency can be a factor that improve financial performance in public institutions. The results also suggest that government's innovation strategies to improve financial stability by enhancing management efficiency were effective.

Management Efficiency of KOSDAQ-listed Information and Communications Industry (코스닥 상장 정보통신업의 경영효율성)

  • Kang Da-Yeon
    • The Journal of the Korea Contents Association
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    • v.22 no.5
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    • pp.165-173
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    • 2022
  • Recently, competition to provide specialized services for the information and communications industry has accelerated in terms of future technology and investment strategy of the Fourth Industrial Revolution. Technological innovations related to information and communications can be seen as increasing productivity, creating added value for companies, and playing a pivotal role in the development of economic growth. Therefore, efficient management of the information and communications industry is important. This study analyzes management efficiency stones for the top 30% of KOSDAQ-listed information and communications companies using dea, presents projected values of companies for efficient operation, and confirms benchmarking company references. We evaluated CCR efficiency, BCC efficiency, ranking, Scale Efficiency(SE), and Return To Scale (RTS) of KOSDAQ-listed information and communications businesses. The analysis showed CCR efficiency of 1, 14 companies, and 1 BCC efficiency, and Nanatan companies were analyzed as ten companies. Scale yield was analyzed by the IRS as four companies, 13 CRS and 13 DRS companies.