• Journal of Technology Innovation
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• v.19 no.1
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• pp.1-27
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• 2011

This paper aims to measure and analyze R&D productivities and efficiencies of 17 major OECD countries including Korea over the 1984-2008 period by using the Malmquist Productivity Index and Data Envelopment Analysis, classifying R&D performance into an output and outcome aspects. It also searches the Korea's current status and characteristics in each R&D stage to enhance Total Factor Productivity (TFP) compared with other developed countries. Our major findings are the followings: (i) Korea's productivity index of R&D input vis-a-vis R&D output is very high (13.39% annual growth rate) compared with those of major advanced countries, whereas the annual average of efficiency index is very low (0.33), i.e. Korea's technical efficiency index has risen to 0.83 at the last time series started at 0.10 point and come up to the level of major advanced countries. (ii) the Korea's productivity index of R&D output vis-a-vis R&D outcome is very low (14.02% annual reduction rate) compared with those of major advanced countries, whereas the annual average of efficiency index is very high (0.22), i.e. Korea's integrated frontier technical efficiency index has dropped to 0.057 at the last time series started at 1.00 point and coming up to the level of major advanced countries. (iii) The productivity of R&D input vis-a-vis R&D outcome is positively correlated with that of R&D output vis-a-vis R&D outcome and the growth of R&D input factors. In a nutshell, it implicates that the effort to take advantage of R&D outputs, namely establishing the diffusion and commercialization system of technical knowledge to the level of developed countries, should be strengthened over that on the growth of R&D investment and output for enhancing R&D productivity and efficiency in Korea.

• International Area Studies Review
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• v.12 no.2
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• pp.99-123
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• 2008

In this paper, technology gap between Korea's manufacturing industries compared to technology frontier countries was estimated in order to take into account Korea's status as a technology follower country. Then by using this measure the role of technology gap was investigated in explaining total factor productivity growth of the Korean manufacturing at industry level. The main empirical findings are as follows: First, the conventional factors that were emphasized in the previous literature such as R&D intensity, trade openness and human capital play important role in explaining the growth rate of Korea's total factor productivity. Second, the larger the technology gap between Korea and technology leader country (and the faster the technology growth rate in the leader country), the higher the growth rate of total factor productivity in Korea as well. Third when the technology gap is large, the most efficient way of absorbing higher technology from frontier country seems to be the international trade channel rather than R&D or human capital accumulation.

• International Commerce and Information Review
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• v.15 no.3
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• pp.225-243
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• 2013

This paper analyses the effects of innovation and openness on productivity in Korean firms using company innovation index which issued by STEPI in 2012. The data contains 296 companies which are registered in Korean stock market. I observed that the effect of past R&D investments on innovation is significant than current R&D investment. The regression results show that company innovation index has significantly positive effects on the firm's revenue. The firm size and the openness also have an important effect on the firm's revenue.

• 한국IT서비스학회:학술대회논문집
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• 2003.05a
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• pp.55-62
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• 2003

최근 들어 행정기관의 정보 기술 분야에 막대한 예산이 투입되면서 공공부문의 정보화가 빠른 속도로 전개되고 있다. 이러한 공공부문의 정보화를 위한 노력들이 과연 어떤 효과를 가져오고 있는지에 대한 연구의 필요성이 제기된다. 본 연구에서는 성과측정을 위한 척도로서 행정기관 IT생산성 지수를 산출하기 위한 지표를 선정하고 그에 따라 지수를 산정하여 이를 연도별로 비교해 보고자 한다. 행정의 업무효율성이라는 측면에서 IT생산성은 3년 동안 꾸준히 증가추세를 보인 반면, 대민서비스를 통한 고객만족도를 생산성개념에 추가시켰을 때는 2001년의 생산성지수가 전년도에 비해 약간 저하되었으며, 2002년에는 증가추세를 나타내고 있다.

• Journal of Korean Society of Transportation
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• v.22 no.6
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• pp.35-47
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• 2004

Using data envelopment analysis, this paper annually estimates Malmquist total factor productivity indices and decomposes them into productive efficiency change, technical change, and scale change components for three publicly-owned rail transit properties: the Seoul Subway Corporation(SSC), the Seoul Metropolitan Electrified Railways Sector of Korea National Railroad (SMESRS) and the Busan Urban Transit Authority (BUTA). The paper then conceptualizes that the property produces a single output(car-kilometers) using four inputs(labor, electricity, car and maintenance, and track) and uses unbalanced panel data consisted of annual observations on SSC, SMESRS and BUTA. The results show that the average annual growth rate of productivity of the three properties is 6.6 percent, which is 0.5 percent less than the average annual increasing rate of their labor price. They also show that the greatest part of the growth in productivity is explained by technical change and to a lesser degree by scale change and changes in productive efficiency though each of the three components contributes more than 20 percent to the growth in productivity, These results suggest that the three properties should base the increasing rate of their wages on the growth rate of their productivity and utilize existing technologies more efficiently prior to introducing new ones to raise their productivity, and that all the three components should be considered to evaluate their productivity more correctly.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.10
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• pp.6066-6075
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• 2014

The aim of this study was to analyze the productivity changes in government-funded research institutes for Economics & Humanities and Social Sciences. From Malmquist total factor productivity index analysis, the average productivity decreased 6.5% between 2006 and 2010. Further analysis showed that technical efficiency increased 4.7% annually while the technology change rate decreased 10.8% on average. Under pressure for innovation from the outside, research institutes responded to managerial efficiency improvement, which lead to increases in technical efficiency. On the other hand, for productivity improvement of government funded research institutes, they must pursue technological advances by securing an outstanding research workforce, expanding the R&D budget, and changing the R&D method. Each institute must perceive the cause of an individual institute's productivity change, and establish strategies for increasing productivity.

• The Journal of the Korea Contents Association
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• v.10 no.5
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• pp.303-313
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• 2010

The purpose of this study is to evaluate the performance efficiency and productivity change of the regional public hospital in Korea. We use DEA(Data Envelopment Analysis) for CCR, BCC model, and MPI(Malmquist Productivity Index). DEA is a useful nonparametric technique for measurement of efficiency of a DMU(Decision Making Unit) and MPI is a evaluation method to measure DMU's productivity change. We utilize 34 regional public hospital's time-series data over 6 years from 2003 to 2008.The results of this study were as follows. First, technical efficiency(TE) shows that approximately 3.6% of inefficiency exists on the regional public hospitals and it reveals that the cause for technical inefficiency is due to scale inefficiency. Second, MPI's results show that regional public hospital made effort to improve total factor productivity change to raise technical efficiency. In order to raise efficiency, the regional public hospitals should deploy internal innovation and the government should support welfare policies.

• Journal of the Korean Institute of Gas
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• v.13 no.2
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• pp.14-22
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• 2009

This article makes a comparative analysis on the productivity in gas distribution industry between Korea and Japan, using Malmquist productivity index(MPI). The estimated MPI during $1997{\sim}2005$ shows that the productivity of Korean gas distribution industry has been generally higher than that of Japanese gas distribution industry. But Korean MPI made a drastic change from positive improvement (+ 0.37) during $1997{\sim}2000$ to severe deterioration (-0.60) during $2001{\sim}2005$, while Japan MPI has seldom changed. This change of Korean MPI is analyzed to result from the worsening of technical change rather than technical efficiency change. According to this result, Korean gas distribution industry needs to improve the technical change.

• Journal of Information Technology Application
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• v.3 no.2
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• pp.25-48
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• 2001

This Study intends to Investigate the economic impact of information technology investment. Six countries in OECD are selected and analyzed to understand the empirical relationship between informatization level and productivity Correlation test and regression analysis are executed, using macro data concerning informatization index, total factor productivity and real output per worker hour The impact of informatization level on productivity is characterized by the time lag effect which is used to explain the productivity paradox in precedent studies. Empirical analysis shows that the higher informatization level and information intensity, the lower time lag effect. The result indicates that IT investment has characteristic as sunk cost and the economic impact is appeared after a certain period of time.

• Environmental and Resource Economics Review
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• v.17 no.1
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• pp.121-146
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• 2008

The purpose of this paper IS to estimate efficiency and loss of productivity under environmental regulation, and analyze the environmental efficiency index empirically. Using the panel data for 20 member countries of OECD during 1985~1999, environmental efficiency index can be constructed by comparing the production processes under alternative assumptions of disposability, by using a hyperbolic measure of productive efficiency. As a result of estimation for the environmental efficiency index, EE of OECD countries gradually shows a downward trend. In terms of the treatment of pollutants, Japan, Germany and France are countries that have a considerable burden in getting rid of the pollutants. In case of EE, Korea displayed high environment efficiency, but in the latter half of the 1990's, the environmental efficiency of Korea became slightly worse. During the same period, Korea had a burden in dealing with NOx just like the other OECD countries.