• 보건행정학회지
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• 제25권2호
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• pp.118-128
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• 2015

Background: We measured productivity changes of regional public hospitals using both global Malmquist productivity index-based on global production possibility set over all the periods-and the traditional Malmquist productivity index and analyzed the factors of productivity change. Methods: The data used in this study is two annual inputs and two annual outputs of 32 regional public hospitals in Korea from 2005 to 2009 and the results such as distances and Malmquist productivity index and global Malmquist productivity index are obtained by an R program written for this study. Results: The results can be summarized as follows. Firstly, technical efficiencies of regional public hospitals are affected largely by scale efficiency than pure technical efficiency. Second, productivity progressed and technological change has more significant influence on productivity advance over the period between 2005 and 2009. Third, the circularity problem of the traditional Malmquist index is confirmed, and so the global Malmquist index without this problem are valid for the analysis. Conclusion: Though this study also has some limitations with the data of regional public hospitals with a short time span, it is the first study of hospitals using global Malmquist productivity index and later it can be expanded to private hospitals and longer time periods.

• 산업경영시스템학회지
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• 제32권4호
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• pp.79-86
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• 2009

The purpose of this paper is to analyze the 24 mail center's efficiency and productivity changes from first quarter to fourth quarter of 2008 using window analysis and Malmquist productivity index. Row views of window analysis results make it possible to determine trends and/or observed behavior with the same data set, and column views to examine the stability of results across different data sets. Malmquist productivity indexes greater than unity translate into improvements in productivity, and less than unity mean deterioration in performance over time. The results of this study suggest that DEA models under dynamic situations such as window analysis and Malmquist productivity index enable us to comprehend the efficiency and productivity changes over time and to show the direction of improvements.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2009년도 춘계학술대회
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• pp.337-350
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• 2009

Using the Malmquist productivity index, this paper compares the productivity of Korean manufacturing industries from 1999 to 2006. The malmquist productivity index has more advantages than previous methods such as solow model, endogenous growth theory. The malmquist productivity index can be decomposed productivity into two parts. The first part is an index of the technical efficiency change. This index has high value when the elements of production is used more efficiently. The second part is an index of technical change. This index has high value if the advent of new technology and process innovation occur.

• 수산경영론집
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• 제43권2호
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• pp.95-106
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• 2012

This study analyzed the changes in productivity growth of 291 regional fisheries cooperatives area from 2001 to 2010 selected as target. The productivity growth analysis of operating offices calculates Global-Malmquist productivity index. Input variables are number of the persons and the nettable area, output variables are deposit, loans and earnings. To improve the homogeneity of industry, the operating conditions were considered. Global Malmquist index of Operating offices was reduced between 2001~2010. The cause of increase and decrease of productivity are divided by efficiency change(EC) and best-practice change(BPC). Operating offices with increased productivity existed between 2001~2002 and between 2002~2003 and between 2006~2007. There were operating offices with increased productivity by EC. Global Malmquist index of Operating offices with locations was highest relatively in metropolitan. Operating offices with increased productivity existed between 2003~2004 and between 2007~2008 and between 2008~2009 in all locations. There were operating offices with decreased productivity by BPC.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2010년도 춘계학술대회
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• pp.33-48
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• 2010

The purpose of this study is to empirically analyze the productivity change of the 10 Single PPM Certification Company in the 3 Industry(Electronics, Motor-Parts, Machines). In this study, Productivity change over the time in Korean small and medium sized firms in the 3 industries by the bootstrapped Malmquist Productivity Index(MPI). The traditional Malmquist Productivity Index(MPI) and Data Envelopment they could lead to wrong evaluations of the efficiency and productivity scores. In this paper, DEA and a MPI are combined with a bootstrap method in order to provide statistical inferences that analyze the performance of the Single PPM Certification Company. The data cover the period between 2004 and 2007. The result of this paper reveals : 1) The electronic industries(Motor-Parts, Machines). 2) average productivity Progress of the 7DMU(Electronics), 1DMU(Motor-Parts) and none(Machines).

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1998년도 추계학술대회 논문집
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• pp.107-110
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• 1998

This paper investigates the productivity growth of four manufacturing industries employing TFP and Malmquist productivity indexes on data for 13 OECD countries covering 1977-1990, and estimates the effects of R&D investment on productivity growth. The results show that there is a large difference between these indexes, and that R&D effects on productivity using TFP and Malmquist productivity indexes are different in value and significance.

• 한국철도학회논문집
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• 제19권3호
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• pp.397-407
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• 2016

본 연구에서는 지방공기업으로 운영하고 있는 6개의 운영기관의 2010년부터 2014년도의 자료를 가지고 DEA-CCR모형과 Malmquist 생산성 지수를 이용하여 운영기관의 효율성 변화와 생산성 변화요인을 분석하였다. 운영기관을 전체적으로 통합하여 운영기관별 효율성을 분석하였으며, 생산성 변화의 추이를 살펴보고자 Malmquist 생산성 분석을 이용하여 기간별 변화를 살펴보았다. 효율성 분석결과 각 도시철도 운영기관별 평균효율성은 대체로 규모가 큰 기관이 효율성이 높은 것으로 분석되었다. 2014년에는 서울메트로와 대전도시철도공사가 가장 효율적인 운영기관으로 분석되었다. Malmquist 생산성 분석을 이용하여 기간별 변화를 살펴본 결과, MPI는 평균 1.06으로 생산성이 계속해서 증가하는 것으로 분석되었다. 6개 운영기관 모두 기술효율성 변화보다는 기술변화가 대체로 높은 것으로 분석되었다.

• 한국산학기술학회논문지
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• 제12권1호
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• pp.125-137
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• 2011

본 연구에서는 1주기와 2 주기 모두 의료기관평가 대상이 된 병원의 Malmquist 지수를 구하고 지수변동의 원인을 분석하였다. 그 결과 평가대상이 된 병원의 Malmquist 방식에 의한 생산성 향상이 이루어졌음을 발견할 수 있었다. 의료기관평가점수와 생산성 변동과의 관계를 살펴본 결과 진료 및 운영체계 점수가 부문별성과 점수에 비해 높은 설명력을 가지고 있었다. 또한 생산성 향상이 큰 병원일수록 환산지수 하락 폭도 큰 것으로 나타났으며 이러한 결과는 병원의 종별, 그룹별, 지역별 모수 요인과도 독립적인 것으로 나타났다. 생산성 변동 폭이 큰 병원일수록 환산지수 하락 폭이 더 큰 것으로 나타나 수가계약의 한 요소로 생산성지표를 도입할 수 있는 가능성을 알 수 있었다. 이러한 결과는 정태적 효율성 보다는 다기간 생산성 변동을 반영한 환산지수 추정 모형과 지불제도 개편 시 다연도성과를 반영하는 메카니즘 개발이 검토되어야 한다는 점을 의미한다.

• Asia pacific journal of information systems
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• 제26권4호
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• pp.542-560
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• 2016

This study determines whether or not firms can achieve high productivity growth through external technology acquisition. It also identifies the key factors affecting adopting firms' productivity growth by employing the Malmquist productivity index (MPI) methodology, which features computational ease, low data dependency, and decomposition of productivity growth into technical efficiency change and technical change. Results showed that the effects of productivity growth arising from technology transfer became stronger over time. Moreover, patent transfer guaranteed firms' productivity growth, but no evidence was found that factors such as age and size could increase productivity. Finally, cultural similarity could be another factor conditioning the effectiveness of technology transfer in the productivity of adopting firms.

• 품질경영학회지
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• 제38권2호
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• pp.261-275
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• 2010

The purpose of this study is to empirically analyze the productivity change of the 10 Single PPM Certification Company in the 3 Industry(Electronics, Motor-Parts, Machines). In this study, Productivity change over the time in Korean small and medium sized firms in the 3 industries by the bootstrapped Malmquist Productivity Index(MPI). The traditional Malmquist Productivity Index(MPI) and Data Envelopment Analysis(DEA) Models have not only bias but also lack statistical confidence intervals. they could lead to wrong evaluations of the efficiency and productivity scores. In this paper, DEA and a MPI are combined with a bootstrap method in order to provide statistical inferences that analyze the performance of the Single PPM Certification Company. The data cover the period between 2004 and 2007. The result of this paper reveals : 1) The Electronics Industry had productivity effect of 17%, but there was not direct effect for other Industries(Motor-Parts, Machines). 2) average productivity Progress of the 7DMU(Electronics), 1DMU(Motor-Parts) and none(Machines).