• Journal of Technology Innovation
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• v.26 no.1
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• pp.85-105
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• 2018

This study analyzes the economic impacts of Korean R&D expenditure on the industrial structure by technological levels using 2010~2014 Input-Output table data. The industrial structure is reclassified into 4 manufacturing industries by OECD's Technology Intensity Definition. Then, we analyzes the production-inducing and value added-inducing of those industries. As the results of the analysis, it is found that the production-inducing effect by the R&D expenditure has been higher in the middle-high and middle-low technology manufacturing and that the value added-inducing effect has been higher in the middle-high technology manufacturing. On the other hand, the production and value added-inducing effects has been lower in the high-tech manufacturing which is highest in the R&D expenditure. The above results indicate that industrial structure has not been linked with the quality ladder that expresses the enhancement of tech level through R&D expenditure. Based on these results, the policy recommendation implies that R&D expenditure should be concentrated to improve the production- and value-added effects of the high technology manufacturing in order to advance the industrial structure. However, this study has the limitation that the analyses on the dynamic-inducing effects are not carried out due to the lack of fixed capital formation data.

• KDI Journal of Economic Policy
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• v.6 no.2
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• pp.217-223
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• 1984

• 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.

• KDI Journal of Economic Policy
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• v.34 no.1
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• pp.53-85
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• 2012

This paper empirically investigates the rates of embodied technological change and their relative contributions to total factor productivity growth for manufacturing, using the Korean plant-level manufacturing data for the period of 1985-2003. We adopt a production-based estimation method proposed by Sakellaris and Wilson (2004) in order to examine the marginal productivity increase of each vintage of equipment over time. We find that the rate of embodied technological progress of Korea's manufacturing sector maintains the annual average level of 13.7 percent from 1985 to 2003, slightly lower than 16.9 percent of the U.S., estimated by Sakellaris & Wilson (2004). While the rate recorded a remarkable increase after the 1997 financial crisis, IT-producing and IT-using industries achieved higher rates of embodied technological progress than non-IT counterparts.

• Korea Trade Review
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• v.42 no.5
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• pp.137-159
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• 2017

This study divides manufacturing in 18 countries including Korea, China, Japan and OECD countries into 11 areas and estimates and compares the technological efficiency of each industry. The traditional view of productivity is to increase production capacity through technological innovation or process innovation, but it is also influenced by the technological efficiency of production process. A Stochastic Frontier Production Model (SFM) is a representative method for estimating the technical efficiency of such production. First, as a result of estimating the production function by setting the output variable as total output or value-added, in both cases, the output increased significantly in all manufacturing sectors as inputs of labor, capital, and intermediate increased. On the other hand, R&D investment has a large impact on output in chemical, electronics, and machinery industries. Next, as a result of estimating the technological efficiency through the production function, when the total output is set as the output variable, the overall average of each sector is 0.8 or more, showing mostly high efficiency. However, when value-added was set, Japan had the highest level in most manufacturing sectors, while other countries were lower than the efficiency of the total output. Comparing the three countries of Korea, China and Japan, Japan showed the highest efficiency in most manufacturing sectors, and Korea was about half or one third of Japan and China was lower than Korea. However, in the food and electronics sectors, China is higher than Korea, indicating that China's production efficiency has greatly improved. As such, Korea is not able to narrow its gap with Japan relatively faster than China's rapid growth. Therefore, various policy supports are needed to promote technology development. In addition, in order to improve manufacturing productivity, it is necessary to shift to an economic structure that can raise technological efficiency as well as technology development.

• Journal of Technology Innovation
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• v.29 no.4
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• pp.95-124
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• 2021

Startups play an important role in economic growth and job creation in niche markets, thus governments regularly expand their research and development(R&D) budgets accordingly. As stratups are more dependent on governments to compensate for insufficient resources and capabilities than large and medium-sized companies, trust in government policies will be important. In this study, we analyzed the impact of startups' trust in government R&D policies on innovation performance. There were three major results. The first result is that government R&D investments in startups increase innovation performance in the manufacturing and high-technology industries but did not affect other industries. The second result is that trust in government R&D policies increased innovation in high-and medium-high technology and manufacturing industries. The third result is that trust in government R&D policies affects innovation before, during, and after evaluation of support process. We analyzed the importance of trust to the effectiveness of government R&D support to determine how to effectively provide it. The results show that governments need to differentiate the types of R&D support they provide according to the target firm's technology level and whether they are a manufacturing company and that appropriate R&D support mechanism should be developed for low-technology and non-manufacturing companies. Finally, governments should allocate resources and make fair and transparent decisions to help companies grow, not to better supervise them.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.374-383
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• 2019

This study was conducted to investigate the relationship between sleep quality and depression level of male workers in the manufacturing industry. The survey subjects were 856 male workers in the manufacturing industries in D city. Data collection was conducted through a self-administrated questionnaire survey during the period from March 1 to April 30, 2019. The distribution of depressive level among subjects differed significantly according to various variables of sociodemographic characteristics, health related behaviors and job related characteristics. In addition, the distribution of the depressive group was significantly higher in the group with worse quality of sleep (PSQI). Depression level showed a significant positive correlation with sleep quality. The risk ratio of the depressed group was significantly higher than that of the sleep quality. The results of this study suggest that the depressive level of male workers in the manufacturing industry is significantly related to the quality of sleep as well as sociodemographic, health related and job related characteristics. Therefore, it is necessary to make efforts to improve sleep quality to reduce the level of depression of workers.

• Environmental and Resource Economics Review
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• v.18 no.2
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• pp.241-277
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• 2009

The purpose of this paper is to compare technical efficiencies and productivities without and with environmental constraints, and shadow prices of $SO_x$ in Korean and Chinese industries. The technical efficiencies without and with environment in Chinese manufacturing industries are higher than those in Korean manufacturing industries for 2000-2004. Most of individual Chinese manufacturing dominate those of Korean manufacturing in levels of technical efficiency. In terms of productivity changes excluding environmental constraints, the rates of annual growth in Korean and Chinese industries show 1.13 percent and 2.73 percent respectively. But Korean industry in productivity changes considering $SO_x$ reduction shows 2.41 percent, higher rate of growth than 1.58 percent of Chinese industry. In the shadow prices of $SO_x$, the reduction of an additional unit of $SO_x$ in the Korean manufacturing needs a decrease of 1.473 unit of output, while the shadow price of $SO_x$ in Chinese manufacturing is 0.0049, close to zero. Korean manufacturing should be specialized in higher sectors of technical efficiency and productivity and be also kept efficient in pollution abatement cost.

• Proceedings of the Technology Innovation Conference
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• 2004.06a
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• pp.3-26
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• 2004

현재 우리나라는 제조업 중심 사회에서 서비스 중심 사회로 경제구조가 변화해 가고 있다. 이에 따라 기업 성장의 원동력으로서의 기술혁신의 역할을 서비스 산업에도 적용하는 연구가 시작되고 있다. 그간 제조업에서의 기술혁신에 대한 연구는 많이 있었으나, 서비스 산업의 기술혁신에 대해서는 연구가 부족했다. 특히 서비스 산업의 개별 섹터를 심층적으로 분석한 연구도 역시 부족한 상황이다. 본 연구에서는 한국의 이동전화 서비스 산업을 중심으로 서비스 산업에서 나타나는 기술혁신의 동태성을 살펴 보았다. 기존 이동전화 서비스 산업을 다룬 연구에서는 주로 국가별 비교로서 규제나 법개정에 의한 파급효과를 관찰하는 정치적인 목적이 강했으며, 서비스 산업 관점에서 제조업의 제품혁신에 해당하는 신규 서비스 개발, 제조업의 공정혁신에 해당하는 운용기술개선의 변화를 기술혁신의 관점에서는 연구하지 않았다. 본 연구에서는 서비스 혁신을 이동전화 서비스 산업에서의 대규모 표준화된 통신 네트워크에서 고객의 요청에 의해 즉시 생산되는 무형의 산물로서 서비스 사업자의 기술개발에 의해 창출된 것으로 정의하였다. 구체적으로 고객이 제공받는 서비스 그 자체의 변화로서 새로운 기능이 추가되는 경우를 서비스 제품 혁신(Service product innovation), 고객에게 서비스를 제공하는 과정의 변화나 기능을 효율적으로 제공하는 것을 서비스 과정 혁신(Service process innovation)으로 정의하였으며 이의 변화를 통해 이동전화 서비스 산업의 기술혁신패턴 파악 및 서비스의 수명주기에 따른 혁신의 세부 형태를 살펴보고 기술혁신의 동태성을 파악하였다. 연구의 결과, 이동전화 서비스 산업에서는 기존의 제조업에서 나타나는 선 제품혁신, 후 공정혁신의 혁신패턴과는 반대로, 공정혁신이 먼저 발생한 후, 제품혁신이 나타나는 동태성을 보여주었다. 또 서비스의 수명주기에 따라 세부적인 혁신의 형태가 달라지는 모습을 확인 할 수 있었다.a}E$)는 동결건조 0.5%가 control사이에서 0.95로 가장 색차가 크게 나타났으며, 그 다음이 냉동분쇄 0.5% 0.83으로 나타나 송이의 첨가율이 높을수록 색차가 크게 나타나는 것을 알 수 있다. 색차가 가장 낮은 제품은 법동분쇄 0.3%, 동결건조 0.3%로 나타났다. 송이양갱의 색(color), 냄새(flavor), 맛(taste), 외관(appearances), 질감(viscosity), 종합적 평가(overall acceptability) 등의 관능평가를 실시한 결과 중 색에 대한 기호도는 냉동분쇄 0.1% 송이양갱이 가장 높은 것으로 나타났으나, 집단간 유의한 차이는 나타나지 않았고, 냄새는 동결건조 0.1%의 송이양갱이 3.38로 가장 점수가 높았으며, 냉동분쇄 0.3%의 송이양갱이 2.81로 가장 낮은 기호도를 나타내었다. 맛에서는 p<0.01수준에서 집단간 유의한 차이를 나타내었는데, 동결건조 0.1%가 그 중 가장 높은 기호도를 나타내었으며, 그 다음이 동결건조 0.5%였다. 가장 낮은 선호도를 나타낸 것은 열풍건조 0.5%였다. 질감은 P<.05 수준에서 집단간 유의미한 차이를 나타내었으며 동결건조 0.1%가 가장 높은 기호도를 나타내었으며, 동결건조 0.5%함유 송이양갱이 1.21로서, 현저히 낮은 기호도를 나타내었다. 종합적인 평가에서는 동결건조 0.1%함유 송이양갱이 가장 높은 기호도를 나타내었고 열풍건조 0.5% 함유 송이양갱이 가장 낮은 기호도를 나타내었다. 이상의 연구결과에서 각기 다른 전처리를 한 송이의 첨가량에 따른 송이양갱의 이화학적 특성에서는 큰 차이가 없었으나, 동결 건조한 송이를 0.15% 첨가한 송이양갱이 관능적 기호도 특성에서 가장 적당한 것으로 평가되어 실용화에는 동결건조 처리한 송이버섯을 0.1% 첨가하여 송이양갱을 제조하는 것이 가장 좋은 것으로 권장된다.ula showed a good agreement with the experimen

• Journal of Digital Convergence
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• v.10 no.6
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• pp.17-22
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• 2012

The technological innovation of IT industry is the competitive tool for them to survive in the environment of an intensive competition. This technological innovation is critical in the survival of firms, but various factors should be considered to embody technological innovation success. This paper aims to identify the determinant factors of the outcome which influence the technological innovation based on the IT industry, and set up a model for measuring technological innovation success. A hypothesis was established for the impact relation between technological innovation success and government support level, which was verified through the logistic regression analysis. In conclusion, in terms of government support, IT manufacturing companies to the success of product innovation, technology development(R&D) and commercialization of direct support is needed for the financial support. And, the success of process innovation is accomplished through manpower training of technical personnel.