• Journal of Korea Technology Innovation Society
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• v.6 no.2
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• pp.203-212
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• 2003

본 논문은 연구개발 및 정보통신스톡의 투입이 국내 산업의 생산성을 단순히 양적인 측면에서 증가를 유도하였는지 아니면 총요소생산성의의 증가를 통한 질적인 향상을 유도하였는지의 차이를 성장회계분석과 시계열분석을 통하여 차이를 규명하고 있다. 양적인 측면에서 투입요소들에 대한 영향정도는 유효하게 나타나고 있는 반면, 질적인 측면에서의 투입요소들의 유효성은 모호한 결과를 보이고 있다.

• 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.

• 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.

• Journal of Labour Economics
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• v.27 no.1
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• pp.165-179
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• 2004

While they compare the growth rate of wage with that of average labor productivity, we compare it with the growth rate of marginal labor productivity. After estimating the elasticity of substitution and technology level, we estimate the marginal labor productivity. Wages and marginal labor productivities are similar over 1963-2000. However, while wages come short of marginal labor productivities over 1963-1986, they exceed marginal labor productivities over 1987-2000. Although the growth rate of wage is not so different from that of marginal labor productivity, it can be disparate from that of average labor productivity. Therefore the former exceeding the latter does not mean the excessive wage growth off the labor demand curve.

• KDI Journal of Economic Policy
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• v.36 no.2
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• pp.137-174
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• 2014

This paper examines whether the TFP growth of the Korean economy slowed down in 2000s based on growth accounting, focusing on how sensitive the results are to the particular aspects of the growth accounting method. There has been no consensus on this issue as the previous studies have provided very diverse results due to the differences in the details of the growth accounting method. Main results of this paper are as follows. First, it is how to calculate the labor income of the self-employed that has the most significant impacts on the estimated TFP growth. Measuring capital stock also matters. Second, the TFP growth of the Korean economy appears to be sustained in 2000s when the extreme assumptions on the labor income of the self-employed are excluded and capital stock is measured by the most frequently-adopted method in the previous studies. For more reliable estimation of the TFP growth, further studies on measuring the labor income of the self-employed are needed.

• 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.

• Environmental and Resource Economics Review
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• v.9 no.5
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• pp.947-971
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• 2000

환경오염을 유발하는 산업에 대한 환경규제의 효과는 모순되는 두 가지 측면이 있다. 즉, 환경규제는 기업의 생산성 증가를 감소시킬 것이라는 생산성에 대한 부정적인 효과와 환경규제가 효율성 증대와 기술혁신을 유발시켜 생산성을 증가시킨다는 것이다. 최근 한국은 소득이 증가함에 따라 환경에 대한 인식이 점점 높아지고 있으나 철강산업의 생산성 증가율은 감소하고 있다. 이러한 경제구조에서 환경규제가 한국철강산업의 생산성에 어떠한 영향을 미치는지를 검증하고자 하였다. 본 연구는 1967년부터 1996년까지의 한국 철강산업의 시계열 자료를 사용하여 환경규제의 총요소생산성에 대한 직 간접적인 효과를 검증하였다. 검증결과 환경규제는 한국 철강산업의 총요소생산성 감소의 31~36%를 차지하는 것으로 나타났다.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.1
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• pp.76-86
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• 2008

This paper estimates the TFP in IT manufacturing (total factor productivity) by employment size of establishment and analyses the determinants of it. And the panel data is consisted of time series and cross section data of 4 employment size of establishment over $1990{\sim}2004$. During the period from 1991 to 1997 TFP increased positively irrespective of the employment size of establishment, but from 1998 to 2004 TFP increase rate turned negative except large size(more than 300) of establishment. TFP assume macro variables and policy variables as the determinants of IT manufacturing TFP. The analysis of whole size of establishment shows that sales growth rate is significantly positive, which makes us conclude that there is a teaming by doing effect and economy of scale. But some variables(i.e. IT capital stock, policy financing, and openness etc.) are significant in only a few models. So there may be different effect by employment size of establishment. In TFP determinants analysis by employment size of establishment, we find that coefficients of policy financing and openness variables are significantly positive. The larger employment size of establishment is, the larger scale economy is. And for large size(more than 300) establishment, IT capital stock helps propel the increase of the productivity.

• 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.

• Korea Trade Review
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• v.41 no.5
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• pp.353-371
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• 2016

The purpose of this paper is to examine the structural change of Korean manufacturing industries and the differences of total factor productivity(TFP) between exporting industries and import substituting industries in Korean manufacturing industry from 1980 to 2013. The empirical results show that over half of total 13 industries have experienced changes of direction from import to export or export to import, which implies that there was a considerable structural change in Korean manufacturing industry. The output growth rates are higher in exporting industries than in import substituting industries. All industries employ more capital than labor during the period, which means that production methodology in Korean industries changes to a more capital intensive one. Finally, the growth rate of total factor productivity is higher in exporting industries than in import substituting industries, and it is also proved in panel regression analysis.