• International Area Studies Review
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• v.20 no.1
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• pp.147-165
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• 2016

We empirically examine the validity of second generation endogenous growth theory suing 21 OECD countries' panel data(1981~2011). Due to non-stationarity in all variables, we test the cointegrated relationships strongly supporting the semi-endogenous growth model. In the estimation of total factor productivity growth function, the growth of domestic and foreign R&D investment levels statistically significantly affect total factor productivity growth. R&D intensity, however, has significant impacts on the total factor productivity growth only in a few models, and international technology gap also has positive impacts on GDP growth. Thus the semi-endogenous growth model is relatively supported while fully endogenous growth model is weakly and occasionally supported in OECD countries. The policy implication of supporting the semi-endogenous growth model is that the sustaining growth requires increasing R&D expenditures.

• 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.

• International Area Studies Review
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• v.13 no.1
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• pp.123-143
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• 2009

This paper investigates the determinants of total factor productivity(TFP) growth in Korean logistics industry such as market share, ownership structure, age of firm, firm size and debt ratio. Using financial data on individual firms in Korean logistics industry, we first estimate firm-level TFP growth rate and then, regress the estimated TFP growth rate on individual firms market power and structural characteristics. Our empirical results show that logistics firms market share is negatively correlated with their TFP growth rate. Also, we find that older or larger firms are more likely to have higher TFP growth rate.

• KDI Journal of Economic Policy
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• v.32 no.4
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• pp.75-114
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• 2010

This paper examines empirically whether information and communication technology(ICT) has improved total factor productivity at industry level in Korea, considering time lag between ICT capital accumulation and improvement of productivity. To evaluate if ICT is pervasive enough to raise productivity, ICT capital stock of Korea is compared with those of advanced economies. From the perspective of aggregate economy, the ICT capital in Korea has increased fast since the mid-1990s and became comparable with advanced economies. However it is mostly attributed to rapid growth of ICT-producing industries. In other industries, ICT capital are still less accumulated than advanced economies. Growth accounting results exhibit that the productivity has risen faster since 2000 in industries using ICT intensively, but looking into specific industries, it is not likely for ICT to be the main factor of productivity improvement except in business service industry. Regression results provide some evidence that ICT is useful in raising productivity only after considerable amount of time allowed. To fully exploit the positive effect of ICT on productivity, it may be necessary for the Korean economy to create institutional environment facilitating complementary innovations as well as ICT captial accumulation.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.321-329
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• 2016

The purpose of this study is to analyze the impact of R&D investment on productivity growth of the Korean Economy in the New Normal Era. To be specific, this study focuses on the impact of R&D capital, other capitals, and total factor productivity(TFP) on the labor productivity during the three periods: 1970-2014, 1970-1997, and 1999-2014. We found out that the change of the intensity in the R&D capital and other capitals significantly impacted on the change of the labor productivity in Korea. In particular, the estimated coefficients of these variables are higher after the period of the IMF financial crisis than before the crisis. We also estimated the marginal productivity of R&D capital investment in terms of the TFP growth. The estimated coefficients of the variables showed stronger effects after the period of the IMF financial crisis than before the crisis. As a result, the increase of R&D investment has been greatly impacted on the growth of the total factor productivity(TFP) after the IMF financial crisis in Korea.

• Environmental and Resource Economics Review
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• v.25 no.2
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• pp.277-297
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• 2016

This study is to analyze the effects of changing pattern of climate vaariables on total factor productivity of Korea manufacture industry. Changes in temperature, rainfalls and humidity which are the representative climate variables are used as main factors. Not only average values of the variables but those highest values are used as independent variables in the model, in order to consider the characteristic pattern of recent climate change, the high volatilities. The OLS results are unlike to previous literature that temperature and humidity had no significant impact on manufacturing productivity. An increase in the amount of precipitation was analyzed that impact negatively impacted. The analysis of panel data showed that temperatures and precipitation all that does not significantly affect the manufacturing. While the increase of the average humidity is shown to increase the total productivity of manufacture industry. In Korea, adaptation capability is important in determining the effects of climate change on productivity of manufacture industry.

• Proceedings of the Korean Statistical Society Conference
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• 2001.11a
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• pp.199-204
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• 2001

1997년 IMF 경제위기 이후 우리나라의 금융산업은 급격한 변화를 겪고 있다. 지난 4년간 은행들을 비롯한 금융기관들이 대형화를 통한 경쟁력 강화를 위해 합병이 실시되었다. 은행합병의 궁극적인 목적은 합병에 의해 규모를 대형화하고 업무범위를 다양화하여 수익규모를 증대시키고 수익원을 다원화하는 한편, 경영자원의 투입과 활용을 효율화하고 시장지배력을 확충하여 경영성과를 제고함으로써 기업가치를 증진시키는데 있다고 할 수 있다. 본 연구에서는 1997년 이후에 본격적으로 이루어진 합병은행들을 대상으로 맘퀴스트 ${\ulcorner}$Malmquist${\lrcorner}$ 총요소생산성(Total Factor Productivity) 지수를 사용하여 그 성과를 측정해 보았다.

• Journal of Digital Convergence
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• v.8 no.2
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• pp.13-28
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• 2010

Korean service industry has been rapidly growing so far and economic trends in korea is shifting to service economy. However Information Communication Technology (ICT) investment and use in service sector are still relatively low in comparison with US. Keeping the current state of the service industry in mind, this paper is to review the potential productivity growth of service industry empirically by analyzing the effect of ICT on total factor productivity after investing the ICT using outlook of Korean service industry. The results show that service sectors, with more using ICT, show high productivity growth and stable TFP change during the financial period. Sectors with lower using ICT are more sensitive to changes in the business environment when compare to sectors with highly using ICT. Concerning the period of 1997-1999, the TFP growth of most of sectors slowed down and turned to recovery immediately afterwards, 2000-2002.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.05a
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• pp.101-105
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• 2001

본 연구는 유연 생산 시스템에서 버퍼 할당 최적화 알고리즘을 제시한다. 기존의 연구들과는 달리 제안된 알고리즘은 시스템의 복잡성과 Combinatorial특성을 모두 다를 수 있다. 알고리즘은 시뮬레이션을 사용하여 시스템의 복잡성을 모델링하고 수정된 유전 알고리즘을 사용하여 Combinatorial특성을 다루며 버퍼를 최적으로 시스템에 할당하게 한다. 제안된 알고리즘은 첫 번째 제한된 버퍼가 있는 상황에서 시스템 Output을 최대화하는 목적함수를 사용하여 최적 버퍼할당을 찾아내는 것과, 두 번째 원하는 Output을 달성할 수 있는 최소의 총 버퍼 수와 할당을 찾아내는 두 가지 목적함수에 적용된다. 마지막으로 유연 생산 시스템의 성능을 결정짓는 다른 요소들과의 관계를 살펴보기 위해 무인 운반 시스템의 발주방식과 무인 운반차의 수 등을 변화시켜 실험을 수행하고 그 결과를 분석한다.

• International Area Studies Review
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• v.12 no.3
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• pp.153-169
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• 2008

This paper examines the recently empirical test for the two types of endogenous growth models, which one is more fitted to real data. We adopt the non-stationary panel data methodologies for seeking empirical implication by using productivity and R&D data in the OECD over the past two decades. The Empirical tests show that there is a robust relationship Total Factor Productivity and R&D variables implied by semi-endogenous growth model. The relationship suggested by fully endogenous growth theory, however, is sensitive to R&D variables. Therefore, the estimation results provide empirical evidence in favour of endogenous growth theory of R&D expenditure role for sustaining economic growth. The sustained Total Factor Productivity, however, is maintained by more increasing R&D inputs for overcoming diminishing return to R&D efforts.