• Environmental and Resource Economics Review
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• v.7 no.1
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• pp.165-183
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• 1997

생명공학은 기술의 특성상 보건 의료, 농업, 자원 환경, 에너지 등 광범위한 산업에 응용될 수 있는 고부가가치형, 두뇌기술집약형, 탈공해형, 자원 및 에너지절약형 기술이라는 특징을 지니고 있어 21세기 미래산업을 선도할 것으로 기대되고 있다. 본 연구의 목적은 생명공학기술이 1980년과 1990년 사이의 산업구조에 어떠한 변화를 초래하였는지를 알아보는 것이다. 생명공학의 산업경제적 파급효과를 분석해 보기 위해 한국은행에서 발행한 산업연관표를 이용하여 생명공학 관련산업의 지원에 따른 국내 제반산업의 생산변화율을 측정하였다. 정부의 지원이나 금리 및 세제의 혜택을 통해 생명공학 산업 관련 비용이 감소하게 되면 이에 따른 가격변화가 국내 산업발전과 고용의 증가를 갖는 것으로 믿어진다. 고정계수 아닌 변화계수를 특징으로 하는 본 모형의 접근방법은 생명공학에 대한 재정지원 및 세제 인센티브 등을 외생변수로 처리하여 산업구조 변화의 추이와 고용유발 등을 예측하였다. 본 논문의 가설은 생명공학의 영역이 점차 증대되어 나아가기 때문에 1980년의 제반산업의 영향은 1990년의 영향보다는 적어야 한다. 즉 생명공학 관련비용 하락이 전체산업에 미치는 1980년의 생산율 증가보다 1990년의 생산율 증가가 커야 할 것이다. 본 가설에 대한 검증의 과정에서 얻은 통계치를 통해 생명공학산업이 한국 산업 전체에 미치는 영향이 10년 동안에 그 차이가 거의 없어 미성숙 단계에 있다는 결론을 짓게 되었다. 따라서 생명공학 분야의 계속적인 발전을 위해서는 선진국 수준의 독자적 기술개발을 통한 국제 경쟁력을 강화해야 하는데 이를 위한 정부 및 민간기업 투자확대와 연구개발 지원체제의 확대가 요망되고 있다.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.409-416
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• 2018

The purpose of this study is to estimate the macro-economic ripple effect of tax exemption for both high end technology firms and research enterprises in R&D special cluster. We apply the user cost of capital model and the Input-output model to the estimation. Estimation results for 2007-2016 are as follows: the increase in both the production and the value-added is 2,807 and 1,392 hundred million Korean won, respectively. Also, employers are increased by 2,355 people. These imply that keeping the tax exemption item for certain enterprises in R&D special cluster may be beneficial to our economy.

• Environmental and Resource Economics Review
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• v.4 no.2
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• pp.307-344
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• 1995

이 논문은 산업공해의 발생 요인을 규명하는 부분과 여기서 규명된 요인에 따라 배출량을 규제하고 그 규제효과를 추정하는 두 가지 부분으로 이루어져 있다. 이 논문에서는 환경(環境) 산업연관(産業聯關) 분석(分析) 모형(模型)을 이용하여 우리 나라의 산업(産業) 공해(公害) 배출(排出) 요인(要因)을 규명하고자 하였다. 이 분석의 결과 얻은 잠정적 결론은 첫째, 우리 나라는 지난 10년간 에너지 절약적(節約的)인 기술개발(技術開發)등 에너지의 효율성과 생산기술(生産技術)(투입구조(投入構造))의 개선 등 생산기술측면에서는 대기오염 배출량을 감소시키는 구조적 변화가 있었던 반면에, 수출입(輸出入) 구조(構造)등 수요 측면에서는 그 배출량을 증가시키는 구조적 변화가 발생하였다. 그러나 전체적으로 구조적 요인은 공해 배출량을 증가시키지 않은 반면 경제 성장에 따른 생산 규모의 확대로 총 배출량은 크게 증가하였다. 산업공해의 배출량을 감축시키기 위한 한 가지 정책수단(政策手段)으로 우리는 일정 율의 탄산까스 배출량(排出量)을 규제하기 위해 필요한 공해 제거 비용을 계산하고 배출 단위 제거비용을 Pigou적 공해조세(公害租稅)로 제시함으로서 일정 배출량 감축 효과를 가지는 공해세를 계산하고자 시도하였다. 이 같은 배출 규제(規制)에 의한 물가상승(物價上昇)의 파급정도(波及程度)는 각 산업의 공해제거(公害除去)를 위한 중간투입물(中間投入物) 수요(需要)와 규제대상(規制對象) 산업(産業)과의 산업연관(産業聯關) 정도(程度)에 따라 상이하다. 배출량(排出量)이 큰 6대(大) 공해산업(公害産業)에 대한 규제(規制)는 자기(自己) 가격상승율(價格上昇率)이외에 산업연관효과(産業聯關效果)의 차이 때문에 산업별로 다른 물가 파급효과를 발생시킨다는 것을 보였다. 특히 석유와 석탄 등의 에너지에 대한 탄산까스 배출 규제는 규제 산업의 자기 가격을 매우 높은 율로 상승시키며, 각각 화학, 고무, 섬유, 의복 제품과 1 차금속, 전력 가스, 조립금속, 시멘트 등에 높은 물가 파급효과를 나타내므로서 이산화탄소의 배출 규제 내지 탄소세의 부과가 몇 몇 산업의 가격 경쟁력에 집중적인 영향을 줄 것임을 시사하고 있다.

• Journal of the Korean association of regional geographers
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• v.8 no.4
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• pp.480-491
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• 2002

The purpose of this study is to construct interregional input-output table for multi-regions using non-survey methods. Despite of wide use of interregional input-output table, there have been continuing debates with respect to it's accuracy mostly when it is constructed by non-survey method. The best ideal one is to construct through real survey, while we must pay much time and cost. With regard to this concern, Hulu and Hewings developed a step by step method for the estimation of interregional input coefficients for the Indonesian economy which might be a challenge for the limitation of location quotient method, for which Round pointed out earlier. A five regions interregional input-output table for Korea is developed in this study by expanding Location Quotient method. Some development was made, however, according to the degree of collection of data and the assumption in treating the interregional flows. Finally, a comparison was made for the accuracy of input coefficients between the real surveyed and derived ones.

• Journal of the Korean Society of Marine Environment & Safety
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• v.22 no.5
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• pp.536-546
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• 2016

Using the inter-industry tables over the period 2010-2013 published by the Bank of Korea, this paper attempts to uncover the national economic role of the marine environmental industries through the estimation of their market size and value-added, and to analyze their economic effects through inter-industry analysis. The results show that the market size of the marine environmental industries has increased from 1.34 trillion won in 2010 to 1.97 trillion won in 2013 and their share in total national output went up from 0.04 % in 2010 to 0.05 % in 2013. Moreover, the value-added of the marine environmental industries, 618.5 billion won in 2010, amounted to 841.5 billion won in 2013 and their proportion in total national value-added has grown from 0.05 % in 2010 to 0.06 % in 2013. Three findings emerge to be used demand-driven model from the inter-industry analysis. First, the production-inducing effect of 1.0 won production or investment in the marine environmental industries has decreased from 1.8845 won in 2010 to 1.8115 won in 2013. Second, the value-added creation effect of that has declined from 0.7680 won in 2010 to 0.7063 in 2013. Third, the employment-inducing effect of 1.0 billion won production or investment in the marine environmental industries has went down from 10.17 people in 2010 to 9.18 people in 2013. In short, the market size and value-added of the marine environmental industries show an increasing trend, but their economic effects reveal a diminishing trend.

• 한국디지털정책학회:학술대회논문집
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• 2004.05a
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• pp.249-275
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• 2004

본 연구에서는 고부가가치를 창출할 수 있는 문화산업이 제주 지역 경제에 미치는 영향에 대한 파급효과를 보기 위하여 산업연관분석 기법 및 AHP 기법을 이용하여 분석하였다. 그리고 제주문화산업에 대한 현황 및 문제점을 분석하여 Porter의 가치사슬 (value chain) 모형을 토대로 지역발전전략으로서 지식기반 제주문화산업의 육성방안을 제시하였다. 분석결과, 문화산업에 대한 투자가 지역경제에 소득유발효과, 고용창출효과 및 타 산업으로의 전?후방 연계효과 등이 강한 긍정적인 영향을 미치는 것으로 나타났으며 소득유발효과와 고용창출효과 등의 파급효과로 인한 제주지역 경제를 활성화시키기 위하여 기식기반 문화산업을 육성하여야 할 것이다.

• Journal of Korea Technology Innovation Society
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• v.11 no.2
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• pp.264-286
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• 2008

In 2006, the share of energy in Korea amounted to 28% from the total import, 97% from overseas dependency, and 83% for the national Greenhouse Gas (GHG) emission in 2004. Thus, from the aspects of economical and environmental policies, an energy analysis is very important, for the industry to cope with the imminent pressure for climate change. However, the estimation of GHG gas emissions due to an energy use is still done in a primitive way, whereby each industry's usage is multiplied by coefficients recommended from international organizations in Korea. At this level, it is impossible to formulate the prevailing logic and policies in face of a new paradigm that seeks to force participation of developing countries through so called post-Kyoto Protocol. In this study, a hybrid energy input-output (E-IO) analysis is conducted on the basis of the input-output(IO) table of 2000 issued by the Bank of Korea in 2003. Furthermore, according to economic sectors, emission of the GHG relative to an energy use is characterized. The analysis is accomplished from four points of view as follows: 1) estimating the GHG emission intensity by 96 sectors, 2) measuring the contribution ratio to GHG emissions by 14 energy sources, 3) calculating the emission factor of 3 GHG compounds, and 4) estimating the total amount of national GHG emission. The total amount estimated in this study is compared with a national official statistical number. The approach could be an appropriate model for the recently spreading concept of a Life Cycle Analysis as it analyzes not only a direct GHG emission from a direct energy use but also an associated emission from an indirect use. We expect this model can provide a form for the basis of a future GHG reduction policy making.

• Economic Analysis
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• v.26 no.4
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• pp.65-97
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• 2020

The purpose of this paper is to analyze the effects of exports on Korea's employment and to decompose driving factors of change in Korea's employment embodied in exports (EEX). This study uses a multi-regional input-output (MRIO) and structural decomposition analysis (SDA) for empirical analysis, and uses a dataset of World Input-Output Tables (WIOTs) and Socio-Economic Accounts (SEAs) from the World Input-Output Database (WIOD). The main findings of the empirical results are summarized as follows. First, Korea's EEX continues to increase and Korea's share of EEX compared to total employment shows an upward trend. However, Korea's employment inducement coefficient of value-added exports showed a downward trend during the 2000-2014 period. Second, final demand from three countries (China, the United States, and the Rest of the World (RoW)) has affected a significant portion of Korea's EEX. Finally, from the results of the SDA, the effect of changes in final demand was the most important driving factor for the increase in Korea's EEX. Based on the results of this empirical analysis, this study discusses useful policy implications that could increase domestic employment in Korea.

• Korean Journal of Construction Engineering and Management
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• v.20 no.6
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• pp.117-125
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• 2019

This study was aimed to derive measures for maximizing ripple effect of construction of overseas industrial complexes on domestic economy. The induced coefficients were estimated for each step of development of industrial complexes by applying the raw data of ICAK and the input-output mode. As a result, for urban service, the fraction of labor costs was high, and for civil engineering, the fraction of profit & loss was high. However, the proportion of intermediate and profit & loss was high in Architecture. Consequently, compare to the same type of overseas constructions, larger effects were seen at urban service in terms of employment, at civil engineering and architecture in terms of business, and at national economy in terms of architecture. These results suggest that in order to maximize ripple effect of construction of overseas industrial complex on domestic economy, it will be needed to seek an order strategy including not only simply sell a land and but also building factories in the industrial complex.

• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.481-499
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• 2012

This paper shows a empirical results by adopting Kauffman' NK model. First, we find interdependence parameter K is nine in the technological ecosystem Landscape. According to principal component analysis, our technological ecosystem landscape is based on K=N-1 technology structure. Second, to Kauffman NK model, our technological ecosystem landscape is completely uncorrelated each other and contains a large number of local optima. As additional technology rises, the number of local optima rises rapidly. Our results mean that the more complexity in the technological ecosystem landscape, the less effective technology innovation will be in our country's technology system.