• Title/Summary/Keyword: 기술효율성

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Analysis of Relative Efficiency in Domestic Bank (국내 일반은행의 상대적 효율성 분석)

  • Noh, Meehyun
    • Proceedings of the Korea Contents Association Conference
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    • 2014.11a
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    • pp.429-430
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    • 2014
  • 본 연구는 DEA를 이용하여 국내 일반은행(13개)의 상대적 효율성을 분석하였다. 분석결과, CCR모형에 의한 기술효율성이 '1'인 은행은 5개, BCC모형에 의한 순수기술효율성이 '1'인 은행은 9개였으며, 규모효율성이 '1'인 은행은 5개였다. 시중은행과 지방은행의 효율성 평균 차이 분석에서는 기술효율성과 순수기술효율성에서는 유의한 차이가 없었으며, 규모효율성에서만 p<0.1에서 지방은행이 시중은행 보다 다소 높은 효율성을 보였다.

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Evaluation on the Technique Efficiency of Annual Chestnut Production in South Korea (임업생산비통계를 이용한 연도별 밤 생산량의 기술효율성 평가)

  • Won, Hyun-Kyu;Jeon, Ju-Hyeon;Kim, Chul-Woo;Jeon, Hyun-Sun;Son, Yeung-Mo;Lee, Uk
    • Journal of Korean Society of Forest Science
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    • v.105 no.2
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    • pp.247-252
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    • 2016
  • This study was conducted to evaluate the technical efficiency of Annual Chestnut production in South Korea. In this study, technical efficiency is the maximum possible production for which a certain amount of costs is inputted. For analysis on the technical efficiency we used output-oriented BCC Model, and then we analyzed correlation among input costs, production, gross income, net income, and market price per unit in order to determine the cause of variation in the technical efficiency. As study materials, we used statistics for the forestry production costs for 7 years from 2008 to 2014. The study results showed that the maximum possible production and actual production in 2008, 2009, and 2010 were 1,568 kg, 1,745 kg, and 1,534 kg by hectares in the order which were the same values. Consequently, the technical efficiency of those was all evaluated as 1.00. On the other hand, actual production from 2011 to 2014 was 1,270 kg 1,047 kg, 1,258 kg, and 1,488 kg by hectares in the order and the maximum possible production was 1,524 kg, 1,467 kg, 1,635 kg, and 1,637 kg by hectares in the analysis. From those values, the technical efficiency was evaluated in the following order:0.83, 0.71, 0.75, 0.91. The lowest value of the technical efficiency was 0.71 in 2012, and the values of this increased gradually since 2013. It is indicated that the cause of variation in the technical efficiency was related to the relationship between production and market price, and there was a negative correlation with r = -0.821 (p<0.05). The level of maximum available production per unit area was between 1,488kg in lower limit and 1,745 kg in upper limit, and the average was turned out as 1,548 kg.

Total Factor Productivity Growth and the Decomposition Components of Korean Port-Logistics Industry (항만물류산업의 총요소생산성과 그 분해요인분석)

  • Gang, Sang-Mok;Lee, Ju-Byeong
    • Journal of Korea Port Economic Association
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    • v.24 no.4
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    • pp.47-70
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    • 2008
  • The purpose of this study is to estimate total factor productivity(TFP) growth by stochastic frontier function and to grasp contributing factors of its growth rate by decomposing the total factor productivity into efficiency change, technical progress, scale change, and allocation change. Annual growth rate of total factor productivity for 1990-2003 is 0.019 (1.9%), higher than that of overall industry (0.010). The main component of TFP growth is not efficiency change but technical progress. Contributing factors of total factor productivity growth are change of allocation efficiency in port industry, technical progress in sea-transportation industry, and change of scale efficiency in transportation-equipment industry. The change of total factor productivity shows a decreasing trend since late in the 1990s. The annual technical efficiency of port-logistics industry is less than that of overall industry. Capital elasticity for output (0.391) is higher than labor elasticity (0.227), but scale economy of port-logistics industry is 0.618, which is far from optimal scale economy.

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Evaluation of University Library Efficiency Using Data Envelopment Analysis (DEA를 적용한 대학도서관의 효율성 평가)

  • Jung, Young-Mi
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.22 no.4
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    • pp.301-315
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    • 2011
  • DEA(Data Envelopment Analysis) is useful to measure the relative efficiency of organizational units where the presence of multiple inputs and outputs. This study applied DEA-CCR and DEA-BCC to evaluate the technical, pure technical, and scale efficiency of 29 university libraries. The input variables were number of books, print edition expenses, building space, staff, number of seats. As output variables we estimated: reader visits, number of borrowed items, number of visitors. It was found out that number of libraries with 100% relative efficiency among 29 libraries were 13. Also the results shows that main reason of inefficiency was from scale rather than from pure technical. Many inefficient libraries were operations of increasing return to scale.

Data Envelopment Analysis of the Management Efficiency of National Shipping Enterprises in South Korea -Chiefly on the Corporate Entertainment and Advertisement Cost- (DEA모형을 이용한 국적선사의 경영효율성 분석 -접대비와 광고·선전비를 중심으로-)

  • Park, Hyun-Jun;Kim, Hyuna;Lim, Young-Tae
    • Journal of Korea Port Economic Association
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    • v.32 no.2
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    • pp.123-135
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    • 2016
  • This study uses Data Envelopment Analysis(DEA) to investigate the management efficiency of Korean shipping companies based on business administration costs such as corporate entertainment, advertisement, and labor costs. We analyze shipping enterprises listed on the Korean stock market of the period of 2010-2014. Corporate entertainment, advertisement and labor costs are used as input variables and sales and net income are used as output variables. We use technical efficiency, pure technical efficiency, scale efficiency and returns to scale to propose a plan to improve the efficiency of inefficiency decision-making units (DMUs). The results of the efficiency analysis show that six of the DMUs in the technical efficiency of CCR model and eight of the DMUs in the pure technical efficiency of BCC model are in efficient state. In terms of return to scale, six of the DMUs(24% of all DMUs) show increasing returns to scale, while 13 DMUs(52% of all DMUs) showdecreasing returns to scale. Because multiple efficient state for DMUs exist in the technical efficiency analysis, we conduct a super efficiency analysis. The results show that the efficient state of the twomost efficient DMUs are 1.314 and 1.243, respectively. This implies that these DMUs could maintain their current levels of the efficiency if they increase the amount spent on advertisements, corporate entertainment and labor costs by 31.4% and 24.3%. respectively. We conclude this study by providing the efficiency states of each DMU and target for improving the inefficiencies in each case.

The Change of Productivity and Efficiency of Korean Shipbuilding Industry and Its Determinants (조선산업의 생산성과 효율성 변화와 그 결정요인)

  • Park, Seok-Ho;Kim, Ho-Nam
    • Journal of Korea Port Economic Association
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    • v.28 no.2
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    • pp.155-177
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    • 2012
  • This paper aims at measuring the changes of Malmquist productivity and technical efficiency of Korean shipbuilding Industry and examinig their determinants utilizing the panel analysis. The increase of the technological progress was greater than technical efficiency, resulting in the increase of the total factor productivity for the period of 2004-2010. This study also employs the panel technique to analyse the effects of Employee, Dock, and Length on the changes of Malmquist productivity and technical efficiency. The dependent variables are obtained from three combinations, which are (Employee, Dock, and CGT), (Employee, Length, and CGT), and (Dock, and Length, and CGT). The empirical results show that all of the explanatory variables have a positive effect on the change of Malmquist productivity and technical efficiency.

Measuring Efficiency and Productivity Change of the Korean Life Insurance Industry (우리나라 생명보험 산업의 효율성 및 생산성변화 분석)

  • Hong, Bong-Young
    • The Korean Journal of Financial Management
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    • v.20 no.2
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    • pp.263-291
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    • 2003
  • The purpose of this paper is to analyse the change in the productivity of Korean life insurance industry by Generalized Malmquist productivity indices. Generalized Malmquist indices will be decomposed into three components such as pure efficiency change, scale efficiency change, and technical change. The principal findings indicate an overall increase in productivity driven more by technical progress than pure technical efficiency and scale efficiency.

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Trends in the Efficiency of Korean National University Libraries : A DEA/Window Analysis Approach (DEA/Window를 이용한 국립대학도서관의 효율성 추세변화 분석)

  • Han, Ha-Neul
    • Journal of Information Management
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    • v.40 no.3
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    • pp.41-60
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    • 2009
  • This study utilizes DEA/Window analysis in order to investigate the relative efficiency levels of korea national university libraries during the period of transition 2004-2008. The empirical results show the following findings. Firstly, a technical efficiency was not efficient which was a scale efficiency rather than a pure technical efficiency in 2008. Secondly, a technical and pure technical efficiency has increased steadily from 2004 to 2008(but a technical, pure technical efficiency has decreased since in 2008). As a result, a technical efficiency increase can be explained by a pure technical efficiency increase.

Management Efficiency of Chestnut-Cultivating Households in Chungnam Province (충남지역 밤나무 재배 임가의 경영 효율성 분석)

  • Won, Hyun-Kyu;Jeon, Jun-Heon;Yoo, Byoung-Il;Lee, Seong-Youn;Lee, Jung-Min;Ji, Dong-Hyun
    • Journal of Korean Society of Forest Science
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    • v.102 no.3
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    • pp.390-397
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    • 2013
  • The study, utilizing a data envelopment analysis (DEA) which is one of the nonparametric estimation methods, aims to evaluate the management efficiency of chestnut tree cultivators in such provinces in Chungchungnam-do as Cheong-yang, Gong-ju, Bu-yeo and so on. The analysis data of this study is based on inputs and outputs of 20 forestry households surveyed in the 2012 survey titled 'A Study on Current Level and Condition of Chestnut Cultivation and Management', which was conducted from March 2012 to October 2012. The elements of inputs are composed of management cost, harvesting cost, material cost, non-operation expenses and cultivation area, while the element of output is a gross margin only. Then the study analyzes a technical efficiency, a puretechnical efficiency and a scale efficiency using CCR and BCC model among DEA methods. Based on that, it also provides improvement methods for forestry households that turned out to be inefficient. In order to verify the result of DEA analysis, the study additionally compares a result of this efficiency study with that of chestnuts management standard diagnostic table. According to the result, the average value of technical efficiency analyzed was 0.667, proving to be inefficient in general. Given that the average value of pure-technical efficiency was 0.944 and that of scale efficiency was 0.703, it can be inferred that inefficiency exists in the field of scale, not in the field of cultivation techniques. As for forestry households with the efficiency score of 1, it is shown that there were 6 households that recorded 1 in the technical efficiency field and 13 households that recorded 1 in the pure technical efficiency. Meanwhile, there were 6 households that recorded 1 in all of the three aspects. In the comparison with the scores from chestnuts management standard diagnostic table, there were 5 households made a high score of over 80, among which are 3 households with score 1 in the technical efficiency. Also, the results of this study and the chestnuts management standard diagnostic table are proved to have the same result, both of them showing the same households that recorded the highest score and the lowest score. This means the management efficiency evaluation using DEA can be applied to the fieldwork along with the chestnuts management standard diagnostic table.

Comparison of Potential CO2 Reduction and Marginal Abatement Costs across Sectors and Provinces in the Chinese Manufacturing Industries (중국 제조업 부문별 CO2 잠재감축량 및 한계저감비용 지역 간 비교 분석)

  • Jin, Yingmei;Lee, Myunghun
    • Environmental and Resource Economics Review
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    • v.22 no.3
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    • pp.459-479
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    • 2013
  • To assess the feasibility of 'low carbon, sustainable growth' policy pursued of the Chinese government, this paper first measures technical efficiency, $CO_2$ shadow prices, and indirect Morishima elasticity of substitution between capital and energy for 24 of manufacturing sectors in Beijing and Chongqing, in which China launched pilot carbon emissions trading scheme, by estimating the input distance function. Based on these results, then the potential for $CO_2$ reduction, cost savings from emissions trading, and the effectiveness of capital investment in reducing $CO_2$ are compared across industries and provinces. In 2010, manufacturing industries in Beijing and Chongqing could potentially reduce the largest $CO_2$ emissions, amounting 5.2 and 17 million tons, respectively, by achieving 100% technical efficiency. While, on average, Chongqing has a comparative advantage in the cost savings from carbon trading over Beijing, Beijing is more likely to reduce $CO_2$ by expanding capital investment.