• Environmental and Resource Economics Review
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• v.18 no.2
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• pp.279-309
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• 2009

Greenhouse gas emissions should be precisely forecast to reduce the emissions from industrial production processes. This study calculated the direct and indirect $CO_2$ emission intensities of 401 industries using the Input-Output tables 2003 and statistical data on the amount of energy use. This study had some limitations in drawing study findings because overseas data were used given the lack of domestic data. Other limiting factors included the oil distribution problems in the oil refinery sector, re-review of carbon neutral, and insufficient consideration of waste treatment. Nonetheless, this study is very meaningful since the direct and indirect $CO_2$ emission intensities of 401 industries were calculated. Specifically, this study considered from the zero-waste perspective the effects of waste, which attract interest worldwide since coke gas and gas from the steel industry are obtained as byproducts for the first time in Korea. According to the results of the analysis of $CO_2$ emission intensity per industry, typical industries whose indirect $CO_2$ emission intensity is high include crude steel making, Remicon, steel wire rods & track rail, cast iron, and iron reinforcing rods & bar steel. These industries produce products using the raw materials produced in the industrial sector whose $CO_2$ emission intensity is high. The representative industries whose direct $CO_2$ emission intensity is high include cement, pig iron, lime & plaster products, andcoal-based compounds. These industries extract raw ore from nature and refine them into raw materials that are useful in other industries. The findings in this study can be effectively used for the following case: estimation of target $CO_2$ emission reduction level reflecting each industrial sector's characteristics, calculation of potential emission reduction of each policy to reduce $CO_2$ emissions, identification of a firm's $CO_2$ emission level, and setting of the target level of emission reduction. Moreover, the findings in this study can be utilized widely in fields such as System of integrated Environmental and Economic Accounting(SEEA) and Material Flow Analysis(MFA) as the current topic of research in Korea.

• Environmental and Resource Economics Review
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• v.13 no.2
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• pp.195-218
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• 2004

This paper explores the impact of pollution abatement cost on trade balance. First, We derive price pressure of spending pollution abatement cost using I-O table. Then the analysis is extended to the impact on trade balance by manufacturing sectors. The paper explicitly includes indirect effect of pollution abatement cost that is the effect through the change of the other sector prices and excluded in the previous studies. The results show that the impact of pollution abatement cost on trade balance is 0.30~0.46% of total trade volume of Korea. This is lower than that of the United States in 1970's.

• Environmental and Resource Economics Review
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• v.4 no.2
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• pp.197-221
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• 1995

본 논문에서는 산업연관 분석모형을 이용하여 1980년대 수출산업에서의 유가변화의 산업별 파급효과를 분석하고, 1990년대 유가 파급효과를 추정하여 보았으며, 1980년대 산업별 물가상승 요인을 계측하여 1970년대 물가상승요인과 비교분석하여 보았다. 1980년대 상반기의 유가 파급효과가 큰 산업은 석유제품과 에너지 다소비 품종인 화학, 비금속 광물, 전기가스수도, 철강, 금속 등으로 나타났으며 대부분의 산업은 유가인상율의 5% 내외의 인상효과를 나타내었다. 유가 인하기였던 1980년대 하반기에도 인하효과는 산업별로 상반기와 비교할 때 큰 차이는 없었으나, 기계, 전기, 전자통신, 자동차 등 주요 수출산업의 가격인하 효과는 그다지 크지 않은 것으로 분석되었다. 저물가 시대였던 1980년대의 주요 물가변화 요인으로는 임금 등 부가가치 및 원유가격의 변화로서 1970년대와 큰 차이가 없었으나, 중간재 수입가격, 수입계수 및 수업률 변화의 물가변화 기여도는 아주 작아서 1970년대와는 다른 양상을 보였다. 한편 1990년대의 유가파급효과 추정을 위한 모의실험 결과를 보면, 1980년대와 마찬가지로 석유관련 제품의 가격인상 효과가 두드러지겠지만, 1970년대와 1980년대에 비해서 유가파급효과는 상대적으로 낮을 것으로 추정되어 수출산업의 가격경쟁력은 임금, 기타 원자재 가격 등 여타 물가인상 요인에 더 영향을 받을 것으로 예상된다.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.105-117
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• 2022

This study analyzes the effects between stock returns and interest rate spread, difference between long-term and short-term interest rate through the polynomial linear regression analysis. The existing research concentrated on the business forecast through the interest rate spread focusing on the US market. The previous studies verified the interest rate spread based on the leading indicators of business forecast by moderating the period of long-term/short-term interest rates and analyzing the degree of leading. After the 7th reform of composite indices of business indicators in Korea of 2006, the interest rate spread was included in the items of composing the business leading indicators, which is utilized till today. Nevertheless, there are a few research on stock returns of each industry and interest rate spread in domestic stock market. Therefore, this study analyzed the stock returns of each industry and interest rate spread targeting Korean stock market. This study selected the long-term/short-term interest rates with high causality through the regression analysis, and then understood the correlations with each leading period and industry. To overcome the limitation of the simple linear regression analysis, polynomial linear regression analysis is used, which raised explanatory power. As a result, the high causality was verified when using differences between returns of corporate bond(AA-) without guarantee for three years by leading six months and call rate returns as interest rate spread. In addition, analyzing the stock returns of each industry, the relation between the relevant interest rate spread and returns of the automobile industry was the closest. This study is significant in the aspect of verifying the causality of interest rate spread, business forecast, and stock returns in Korea. Even though it could be limited to forecast the stock price by using only the interest rate spread, it would be working as a strong factor when it is properly utilized with other various factors.

• Journal of Labour Economics
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• v.29 no.3
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• pp.75-112
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• 2006

We found following evidences from our empirical analysis with the Workplace Panel Survey data of the Korea Labor Institute with reference to 'discord hypothesis' which insists that employee participatory high performance work practices would strengthen not only an enterprise focus in labor-management relations but also the enterprise unionism in the labor union system or collective bargaining structures, so they would probably come into conflict with the superenterprise-oriented industrial solidarity spirit in labor unionism. First, even though there are significant positive management performance effects of high performance work practices, especially in case of mining and manufacturing industries, the positive performance effects of employee participatory work practices such as job rotation ratio of workers and 6-sigma activities were much strengthened relatively in case of non-unionized establishments. Second, the superenterprise-oriented collective bargaining system is also found to give very strong and statistically significant negative performance effects to the introduction and implementation of work teams and performance-related payment systems such as profit sharing, group incentive pay system and so on. Although there are some careful reservations in interpreting the results of our analysis because of data insufficiency, they may have important implications that the industrial labor unionism or the superenterprise-oriented collective bargaining practices exercise the bargaining power to make individual firms be negative or feel it nearly impossible to introduce the employee participatory work practices which can be very favorable to improving those management performance.

• 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.

• Analyses & Alternatives
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• v.8 no.1
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• pp.59-85
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• 2024

This study examines the impact of the development of the artificial intelligence (AI) industry on the economic growth of South Korea. The study uses variables such as the revenue and patent applications of AI-related companies, as well as industry-specific total factor productivity and GDP, to estimate the effects. The results suggest that the growth of the AI industry has a positive effect on the economic growth with a lag of about one year. Specifically, the effect of government AI revenue on GDP growth appears to be greater than that of private companies or consumer-focused AI revenue. This indicates that government policies aimed at promoting the diffusion of the AI industry have had significant effects. The study notes that the period covered by the AI industry survey data is relatively short, and there is a lack of detailed data for the manufacturing sector. I suggest that further improvements and accumulation of data could lead to more robust results.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.647-647
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• 2017

본 연구의 목적은 정부의 R&D 지원사업에 참여하는 유형별 중소기업들의 R&D참여 요인에 관한 연구이다. 각 정부부처별 R&D 지원사업이 지역전략산업별, 뿌리기술전문기업, 부품소재기업등 특수 산업분야별, 다양한 형태로 운영되고 있으며, 각 기업에 보조금, 지원금 및 마케팅, 기획, 교육등의 다양한 지원이 이루어지고 있고 각 기업들 또한 이에 참여하게 된다. 따라서 본 연구는 이와 같은 정부 R&D지원사업의 참여요인 즉, 다양한 유형의 중소기업이 정부 R&D과제 참여에 긍정적인 영향을 미치는 지에 대한 가설을 검증한다. 또한 기술적 성과인 R&D 참여강화와 기술역량 강화에 영향을 미치는지에 대한 가설을 검증한다. 이 분석결과를 통한 연구결과, 중소기업의 연구개발투자에 영향을 미치는 요인중 지역전략산업별, 뿌리기술전문기업, 부품소재기업등 특수 산업분야별등 기업유형에 따라 정(+)의 영향을 미치고 있다는 결과를 바탕으로 정부지원사업에 참여하는 유형별 중소기업들의 전략적 R&D참여를 위한 방향설정에 도움이 될 것이다.

• 한국IT서비스학회:학술대회논문집
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• 2008.11a
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• pp.395-398
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• 2008

기술로드맵의 가장 큰 가치는 기술로드맵 자체보다는 그것을 작성하기 위한 일련의 활동과정이라 할 수 있다. 기술전략의 실제적 Tool로서 효과를 발휘, 기술전략수립에 활용되기 위하여, 국가적으로 산업별 로드맵 작성에 적극 나서서 각 산업별, 기술별 발전방향을 제시하기 위하여. 올해 지식경제부는 "지식경제 통합기술청사진"을 발표하였다. 본 논문에서는 "지식경제 통합기술청사진"에 관하여 전반적인 사항들에 관하여 집어보고, 국가 정보 자원관리 차원에서 통합기술청사진을 IT서비스 차원에서의 체계화를 통하여, 관리 및 운영방안에 대한 전략적인 접근을 하고자 한다. 통합 TRM 기반의 IT서비스 관리 및 운영방안에 관련된 부분들을 분석하여 효율적으로 관리 및 활용할 수 있는 운영 방안을 제안한다.

• The Korean Journal of Financial Management
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• v.14 no.2
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• pp.313-333
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• 1997

'90년대 주식시장의 특징 가운데 하나는 주가차별화 현상이고, 국내경기에서 나타난 특징 가운데 하나는 경기의 양극화(兩極化) 현상과 산업별 차별화(差別化) 현상이다. 실물부문에서의 산업간 차별화 현상은 실물경기에 바탕을 두고 있는 주식시장에 많은 영향을 미칠 수 있는데 본고에서는 산업간 차별화현상이 주식시장의 업종별 차별화에 어느 정도 영향을 미치고 있는가를 분석하였다. 본 연구결과 경기의 대용변수인 '산업생산지수 변동률'이 주가지수 차별화에 별다른 영향을 주지 못하는 것으로 나타나 최근 주식시장과 경기와의 괴리감을 설명해 주고 있다. 반면, 나무제조업 및 종이제조업은 주당순이익(EPS)의 차이로 인하여 주가지수가 타산업의 주가지수와 차이를 보이고 있다. 이는 우리 주식시장에서 주당순이익(株當純利益)(EPS)의 변동이 업종별 주가차별화의 요인으로 작용한다고 볼 수 있다.