• Journal of the Korean Geographical Society
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• v.40 no.1 s.106
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• pp.47-62
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• 2005

This paper aims at analyzing the economic effect of the public financial expenditure on the national industrial complexes. Since public finance support is indirectly supplied to the national industrial complexes, the economic effect of the public financial expenditure on the national industrial complexes may be analyzed indirectly and circuitously In this contort, this paper uses 3 stage analysis method. In the first stage, the economic effect that the public financial expenditure influence the allotment, production and employment of companies residing in the national industrial complexes is analyzed by multiple regression analysis. In the second stage, the economic effect that the investment on the national industrial complexes influence the national and regional economies is analyzed by multiple regression analysis. In the third stage, the economic effect of the public financial expenditure on the national industrial complexes is analyzed through the compromising the results of the first and second stage. The main results of this paper are as follows. Firstly, public financial expenditure on the infrastructure of national industrial complexes leaded to positive growth of the allotment of companies residing in the national industrial complexes. Additionally, growth of the allotment of companies leaded to the positive effect on the production and employment of companies. And secondly, growth of the allotment of companies leaded to the positive effect on the gross regional domestic production. Finally, financial expenditure on the infrastructure of national industrial complexes leaded to positive effect on the national and regional economic growth through the compromising the results of the first and second stage.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.175-182
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• 2021

The purpose of this study is to establish the direction of industrial policy by comparing the employment inducement effect on the related industries of the digital bio-healthcare industry. The analysis data used the three-year input-output table measured by the Bank of Korea. First, the research method was rewritten into 7 major industries to compare statistical data by period. Second, the Bank of Korea's industry-related analysis methodology was utilized. Third, the weight was reflected and compared by employment, production, and investment sectors of the digital bio-healthcare industry. As a result of the analysis, first, the employment sector had a higher effect than the average of the entire industry, second, the production sector was low, and third, the investment sector required investment in the service sector. The conclusions drawn from the analysis showed that direct investment and continuous investment are required in the employment sector, the development of professional manpower is urgent, and direct investment and long-term investment are effective in the production sector.

• International Area Studies Review
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• v.13 no.3
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• pp.145-161
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• 2009

Applying the shift-share analysis, this paper decomposes FDI inflow into Korea for the period of 2003-2006. The paper finds that Korea has been lagging behind the world average in absorbing inward FDI, thereby recording negative aggregate industry-mix effects and negative aggregate competitive effects as well. However, the following industries have recorded positive competitive effect: electrical and electronic equipment, motor vehicles and other transport equipment, hotels and restaurants, transport, storage and communications, finance, and business services. In a nutshell, Korea is revealed to have competitive advantage in absorbing inward FDI in a few manufacturing industries and most of service industries. Government policies should accordingly be focused on these industries to encourage more inward FDIs.

• 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.

• Journal of Labour Economics
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• v.36 no.2
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• pp.95-124
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• 2013

This article empirically explore the effects of a training subsidies of corporate training investment and productivity improvement using enterprise data. I find that large sized enterprises don't have clear positive effects, but small&medium sized enterprises have, And the more enterprises have corporate training investment, the more positive effects of training subsidies decrease. So large sized enterprises with a relatively high level of corporate training investment have the restricted effect of training subsidies compare to small&medium sized enterprises.

• KDI Journal of Economic Policy
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• v.36 no.1
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• pp.1-42
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• 2014

This study analyzes how heterogeneous across firms' productivity level the effects of foreign direct investment (FDI) on the productivity of firms in a host country are. The study uses firm level data over 2000~2009 in South Korea and takes a quantile regression approach to estimate FDI's heterogeneous effects on the invested firm ('direct effects') and other domestic firms in the industry to which the invested firm belongs ('intra-industry spillover effects'). Major empirical results are as follows. In manufacturing sector, FDI has positive and statistically significant direct effects on the invested firm. In addition, the higher the quantiles of firms' productivity level are, the larger the positive productivity effects are. FDI also has positive and statistically significant intra-industry spillover effects on domestic firms in low quantiles of productivity while it has negative and statistically significant or insignificant spillover effects on those in high productivity quantiles. In service sector, on the other hand, Sufficient evidence is not found that FDI has statistically significant direct effects or intra-industry spillover effects. Taken together, the study suggests that FDI has heterogeneous effects on the productivity of firms in host country, depending on the firms' productivity level and sector.

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.479-483
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• 2010

본 논문에서는 기업의 전자교육훈련프로그램(e-learning program)의 교육투자수익률(ROI)을 산출하여 전자교육훈련프로그램의 효과성을 분석하는 방법을 제안한다. ROI 모델을 통해 전자교육훈련프로그램의 교육투자수익률을 산출하는 것은 결코 쉬운 일이 아니다. 그러나 투자 대비 수익을 중시하는 기업에 있어서 교육투자수익률을 분석하는 것은 교육훈련프로그램의 효과성을 검증하고 투자여부를 결정하는데 있어 매우 중요한 근거가 된다. 본 연구는 특정 회사의 전자교육훈련프로그램의 투자수익률을 산출하여 전자교육훈련프로그램을 운용하는 모든 기업의 전자교육훈련프로그램의 투자수익률을 규명하는 데에 시사점을 제공하고 향후 전자교육훈련프로그램의 투자 및 운용에 있어 중요한 기초 자료를 제공하는 데 목적이 있다.

• 한국벤처창업학회:학술대회논문집
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• 2016.04a
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• pp.48-50
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• 2016

본 연구는 벤처캐피탈에 대한 정부의 간접출자가 창업초기단계 기업에 대한 투자를 장려하는지에 대해 논한다. 벤처캐피탈의 의사결정이 합리적 투자자의 관점을 취한다고 가정하고 정부의 자금투여가 이에 영향을 미치는 원리를 불확실성 완화효과, 정책유도 효과, 투자금의 규모의 경제효과, 정보비대칭성 완화효과, 자본비용 완화효과로 분해하여 이론적 고찰을 한다. 이론적 논의를 종합하여, 본 논문은 다음의 주장을 한다. 첫 째, 정부출자금의 규모가 벤처캐피탈의 창업초기단계 기업에 대한 투자를 증가시키는 효과를 가질 것이다. 둘 째, 창업초기단계에 대한 투자지침을 명시한 출자금을 유치한 벤처캐피탈의 창업초기단계 투자가 그러한 투자지침을 갖지 않는 출자금을 유치한 벤처캐피탈에 비해 클 것이다. 셋 째, 정부출자금의 창업초기단계 기업의 투자에 대한 규모효과는 일정 수준 이상이 되면 감소하여 역U의 형태를 보일 것이다. 본 연구는 2010년부터 2013년 사이 투자활동을 벌인 한국의 105개 벤처캐피탈사의 출자금 구성과 투자 내역자료를 활용하여 상기 주장의 유효성을 실증 조사하였다. 다중회귀분석을 포함한 다양한 통계적 검정의 결과 세 가지 주장을 모두 지지하는 일관된 결론을 얻었다. 본 연구는 벤처캐피탈의 투자행태 및 정책개입의 효과와 메커니즘에 대한 새로운 설명을 제시한다는 이론적 의의와 이에 대한 실증근거의 제시를 통해 벤처기업 및 벤처캐피탈 정책의 효과와 방향성에 대한 재검토의 기회를 제공한다는 실무적 의의를 갖는다.

• Journal of Technology Innovation
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• v.22 no.1
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• pp.1-22
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• 2014

R&D investment also has a gestation period similar to other investments in economics. The gestation period originates from time lag effect of input and output. Thus it is necessary to consider time lag effects when analyzing the relationship between firms' R&D investment and R&D performance. The main objective of this research is to estimate the length of time lag effect of R&D investment. The Almon distribution lag model was applied to estimate the time lag effect. The firm level panel dataset was established from 2002 to 2009. The net value of R&D investment and the number of patent applications were used to measure R&D input and output, respectively. This method found the estimated time lag to be 1~2 years across all datasets. The same analyses were applied to chemical, metal, electronic, exact science, and machinery industries' data. And we found there were differences among sectors in regard to the time lag effect.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.4
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• pp.77-88
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• 2023

The purpose of this study is to confirm whether the current technology appraisal model for investment, which is designed to identify high-growth SMEs in sales, which is one of the characteristics of gazelle companies, has the possibility of expanding employment effects. For SMEs classified as technology investment adequate firms(TI1-TI6) through technology appraisal for investment between 2016 and 2018 were targeted. At this time, the employment effect was analyzed by dividing the absolute employment effect and the relative employment effect. As a result of the analysis, it was confirmed that the technology appraisal items for investment defined as innovation characteristics did not have significant explanatory power for the absolute employment effect. However, for the relative employment effect, among innovation characteristics, technicality(TC) was found to have significant explanatory power, and this is because the item appraised based on future growth potential. In particular, the relative employment effect is meaningful in terms of the actual employment effect, and the conclusion is drawn that the current technology appraisal model for investment is an appraisal model with the possibility of expansion in terms of employment effect.