• Journal of the Korea Industrial Information Systems Research
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• v.25 no.2
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• pp.101-113
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• 2020

Since the number of social enterprises have been increased more than double over the past five years, the determinant of their growth by regional comparison is examined in this paper. In terms of the sale determinant, experimental results show that the total number of workers, business history, and capital intensity in Seoul metropolitan area, the total number of workers, business history, and capital intensity in Gyeongsang area, the total number workers, business history, and the dependence on government subsidies in Chungcheong area, the total number of workers, and the capital intensity in Jeolla/Jeju area have showed positive effects. In terms of asset determinants, experimental results show that the total number of workers, business history, and capital in Seoul metropolitan area, the capital in Gangwon area, the total number of workers, business history, and capital in Gyeongsang area, the total number of workers, business history, and capital intensity in Chungcheong area, the total number of workers, capital, and capital intensity in Jeolla/Jeju area have showed positive effect.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.450-458
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• 2018

The purpose of this study is to investigate the impact of university knowledge capital on the local business activity in the Korean local governments in the year 2015. We found that the increase of the standard deviation of university patent, scientific publications, incumbent firms, and industrial property rights raised the number of new knowledge-intensive firms to 15%, 11%, 54%, and 22%, respectively, in the local economy. In addition, the coefficient which reflects the interaction effects of the knowledge capital between universities and local industries was significant in the given area in the year. On the other hand, in the control variables, the coefficients for the size of local government, population density, and percentage of 20s~40s out of the total population in the local government were significant, showing above 90% level except for the variable of the distance between a local government and Seoul. In particular, when the knowledge capital of the university and industry coexists, the synergistic effect which has influence on the foundation of knowledge-intensive firms was meaningful despite the small scale, and these two types of knowledge capital could be complementary in creating new knowledge-intensive firms in the Korean local economy.

• International Area Studies Review
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• v.20 no.2
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• pp.63-83
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• 2016

This paper examines the determinants of efficiency in a KOSDAQ-listed manufacturing firm. We use Data Envelopment Analysis (DEA) to estimate the efficiency of the export manufacturing firm. We employ two inputs (number of employees, equity) and one output (sales) in the DEA. The determinants of export manufacturing firm efficiency are estimated using the panel Tobit model. An analysis of 369 export manufacturing firms from 2013 to 2015 indicates the following results: First, the R&D intensity, the wage and salary intensity, total asset, and equity ratio each had a negative impact on both the CCR and BCC efficiency scores. However, export intensity had a negative impact on CCR efficiency scores in a KOSDAQ-listed total export manufacturing firm. Second, the R&D intensity had a positive impact on both the CCR and BCC efficiency scores, but export intensity, the wage and salary intensity, and equity ratio each had a negative impact on the CCR and BCC efficiency scores in a KOSDAQ-listed large export manufacturing firm. Third, the R&D intensity, the wage and salary intensity, total asset, and equity ratio each had a negative impact on both the CCR and BCC efficiency scores; respectively, in a KOSDAQ-listed small and medium export manufacturing firm.

• International Area Studies Review
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• v.22 no.4
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• pp.19-35
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• 2018

This paper is to estimate the total factor productivity(TFP) in the Korean manufacturing and service industries during the period 1975:1-2016:4 using the stochastic frontier analysis model. In order to analyze the determinants for the total factor productivity the paper estimates the industry-specific determinant elasticities of TFP using the autoregressive distributed model. The industry-specific determinants, which reflect the industrial structure and properties include markup, the ratio of capital to labor(KL), and the ratio of foreign intermediate goods (FIG) to industrial output. The average value for total factor productivity growth was estimated to be 0.0199 in manufacturing and 0.0063 in the service industry. The markup and KL elasticities of TFP were estimated to be 2.481 and 0.651 in manufacturing respectively and -1.403 and 0.042 in the service industry respectively. The empirical results suggest that the industrial markup and the ratio of capital to labor have had decisive effects on the changes in the total factor productivity in the Korean manufacturing and service industries during the period 1975:1-2016:4.

• International Area Studies Review
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• v.20 no.2
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• pp.47-62
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• 2016

This paper is to set up the empirical model in order to estimate industrial markup and to analyze the determinants for industrial markup by estimating the factor price elasticities of markup in the Korean manufacturing industries using the autoregressive distributed model. The import price elasticities of markup were estimated to be -1.025, -0.176, and -0.260 respectively in Machinery products, Chemical products, and Metallics which proved to have higher ratios of imported intermediate goods to industrial output. The interest elasticities of markup were also estimated to be -0.165, -0.147, and -0.210 respectively in Chemical products, Metallics, and Machinery products which are capital-intensive industries. Thus, the paper suggests that both import price index and interest rate have had more decisive effects on the changes in industrial markup in the Korean manufacturing industries, in particular, since the foreign currency crisis beginning in late 1997.

• International Area Studies Review
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• v.15 no.3
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• pp.307-324
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• 2011

The global economic crisis made most of governments to overcome the economic depression as well as the challenging tasks for global warming. It is not easy political vision to harmonize these two rabbits race, and thus it needs to be developed new paradigm for the sustainable development. Unfortunately, the traditional cost-approach based productivity could not resolve this trade-off relation. Therefore, the paper is aimed to develop new approach on the green productivity index with the DEA models in the 1st stage, and then based on these green productivity scores, the paper is analyzed the determinants of these green productivity in the 2nd stage among the G 20 countries. The empirical result shows that the effect of GDP, carbon intensity, and capital and labor intensity toward the green growth is positive on the green productivity, while the level of government efforts is not significant on the green productivity.

• The Magazine for Energy Service Companies
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• pp.34-35
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• 2001

경영학을 전공한 이성인 연구위원은 ESCO 사업은 시설투자 자금 뿐만 아니라 에너지 진단, 행정 등 상당한 비용이 소요되는 자본집약 사업이라며 ESCO는 기본적으로 고효율 에너지 사용기기의 판매, 설치가 아닌 파이낸싱을 기본으로 진단 등에 근거한 종합컨설팅, 포괄적인 고도의 기술적 서비스와 토털서비스를 제공할 때 부가가치를 창출할 수 있을 것이라고 말했다.

• The Bimonthly Magazine for Agrochemicals and Plant Protection
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• v.12 no.1
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• pp.15-21
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• 1991

• Electric Engineers Magazine
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• v.215 no.7
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• pp.32-38
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• 2000

전력사업은 막대한 자본이 소요되는 대표적인 자본집약적 설비 산업일 뿐 아니라 저장이 곤란하다는 전기에너지의근본적 특성 때문에 전력회사는 1년 중 전력소비가 가장 많은 시점의수요에 대응할 수 있는 전력설비를 미리 확보해 두고 있어야 하는데 전력설비 건설에는 대규모의 자본이 투입되어야 하고 그 기간도 5~10년이 걸릴 뿐만 아니라 지역 이기주의의심화로 발전소 건설입지를 확보하기점점 어려워지고 있으며 최근에는 기후변화 협약과 관련하여 세계 각국에서 co2에 대한 의한 온실효과 등의 공해물질 배출액 압력이 거세어지고 있는 등 전력사업의 주변 환경 여건은 날로어려워지고 있다.

• Journal of Technology Innovation
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• v.20 no.1
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• pp.45-73
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• 2012

In this paper, we analyse empirically the effects of financial characteristics on the relationship between R&D investment and market value of firms listed on Korea Exchange. The main results of this study can be summarized as follows. Firm size increase the market valuation of R&D investment because it provides economies of scale, easier access to capital market, and R&D cost spreading. Market share also positively effects the relationship between R&D investment and firm value. Alternatively, free cash flow has a negative effect on the relationship between R&D investment and firm value because firms with high free cash flow could be tempted to use the free cash flow to undertake negative NPV projects. The dependence on external finance is a handicap negatively assessed by the market when firms undertake R&D projects due to the higher information asymmetry associated with this kind of project. Labor intensity has a negative effect on the relationship between R&D investment and firm value because the abnormal profits arising from R&D investment are diluted among employees. Capital intensity also has a negative effect on the relationship between R&D investment and firm value due to the greater financial constraints faced by capital intensive firms. In conclusion, several financial characteristics(firm size and market share) positively effect the relationship between R&D investment and firm value, while others(free cash flow, dependence on external finance, labor intensity, and capital intensity) exert a negative effect. Therefore, we conclude that the effectiveness of R&D investment depends on these financial characteristics.