로봇산업이 타 산업에 미치는 경제적 효과에 관한 연구

신용재 한국인터넷전자상거래학회 2020 인터넷전자상거래연구 Vol.20 No.5

This study set out to analyze the effects of the robot industry on the South Korean economy in order to make a contribution to the South Korean government's elaborate policies and economic achievements with regard to the robot industry. For this purpose, the robot industry as the research topic was divided into manufacturing robots and the entire robot industry for analysis. Used in analysis were the demand & supply-driven model of input-output analysis and Leontif’s Price Model and Inter-industry Analysis. The analysis results show that manufacturing robots had production-inducing effects of 1.645 in the demand-driven model and added value-inducing effects of 0.623 on other industries. They also had supply shortage effects of 0.036 in the supply-driven model. The industry of manufacturing robots itself had production-inducing effects of 1.118 and added value-inducing effects of 0.272. Robots had high impacts on the manufacturing industry, recording production-inducing effects of 65.2%, supply shortage effects of 70.8%, and rather lower added value-inducing effects of 53.8%. The entire robot industry including manufacturing, service, and SW&parts had production-inducing effects of 0.703 and added value-inducing effects of 0.295 in the demand-driven model and supply shortage effects of 0.611 in the supply-driven model on other industries. As for the percentage of effects by the industry, production-inducing effects recorded 51.6% for secondary industries; added value-inducing effects 53.9% for tertiary industries; and supply shortage effects 64.2%. The inter-industry analysis results reveal that both the entire robot industry and manufacturing robots had lower forward linkage effects than 1 and a little higher backward linkage effects than 1, being categorized into the intermediate demand primary industry type.

항공운송서비스 산업의 경제적 역할과 한국 경제에 미치는 영향 - COVID-19 상황을 대처하기 위해 -

신용재 한국항공경영학회 2020 한국항공경영학회지 Vol.18 No.3

The transportation industry is related to the input of resources procurement when producing goods and services. Swiftness, accuracy, and efficiency are very important factors to maximize the profit of the enterprises. In particular, the aviation transportation service industry is one of the most crucial industries internationally as well as domestically. Because it connects the world and promotes the flows of trade, tourism, and investment. However, the unprecedented disasters such as the current COVID-19 negatively impacts on this aviation transportation service industry. To properly cope with this situation, the impacts of the aviation transportation service industry and the roles of this sector, specifically, in the context of the Korea economy need to be proceeded. This study analyzes the Demand-driven model, the Supply-driven model, the Leontief price model, and the Inter-industry linkage analysis, which are the main models of the Input-Output analysis to investigate the economic role of the aviation transportation service industry and its impacts on other industries. The results of the analysis show that the effects of the aviation transportation service industry on other industries were 1.344, 0.551, and 0.206 which are resulting from the production inducing effects resulting, value-added inducing effects, and employee compensation inducing effects, respectively, based on the Demand-driven model. The supply shortage effect was 1.350 which is tested by the supply-driven model. The effect of inflation was 0.719% which was tested based on the Leontief price model. In terms of inter-industry linkage effects, we found two effects that named the forward effect and the backward effect. The results were 0.558, and 1.078, respectively, which indicates that the characteristics of the final demand industry. Overall, our results provide the insights that Korea’s aviation transportation service industry has grown into the more significant industry since its economic roles and its impacts have increased as compared to the previously published literature. Moreover, based on the results of the production inducing effect and supply shortage effect in the manufacturing industry, this study shows that the aviation transportation service industry became an important domain as a role of cargo transportation as well. The results of this study imply that the directions of the COVID-19 aid policy such as size and method of supports need to be developed depending on the effects of the industries which affected by the aviation transportation service industry. By understanding the role of the aviation transportation service industry and the quantitative impacts on the other industries, this research can contribute to establishing a policy to minimize the economic damage caused by the losses of the aviation transportation service industry. 운송서비스산업은 하나의 재화 및 서비스를 생산할 때 투입되는 자원의 조달과 관련되는 것으로 이것을 얼마나 신속하고 정확하게 그리고 효율적으로 운용할 수 있는가는 기업의 이윤극대화 측면에서매우 중요한 요소이다. 이중에서 항공운송서비스산업은 전 세계를 연결하며 무역, 관광 및 투자의 흐름을 촉진하기 때문에 세계적, 국가적으로 매우 중요한 산업 중 하나이다. 하지만 항공운송서비스 산업은 전례 없는 COVID-19로 인하여 어려운 상황에 처해있다. 이와 같은 상황에 제대로 대처하기 위해서는 항공운송서비스 산업이 한국경제에서 어떠한 역할을 하는지, 한국경제에 얼마만큼의 영향을 미치는지에 대한 분석이 선행되어야 한다. 따라서 본 연구는 항공운송서비스 산업을 중심으로 경제적 역할과 타 산업에 미치는 영향을 분석하기 위해 산업연관분석의 주요 모델인 수요유도모형, 공급유도모형, 레온티에프 모형, 산업연쇄효과를 분석하였다. 분석결과 항공운송서비스 산업이 타 산업에 미치는 영향은 수요유도모형의 결과인 생산유발효과의경우 1.344원, 부가가치유발효과 0.551원, 피용자보수유발효과 0.206원으로 나타났고 공급유도모형의공급지장효과는 1.350원, 레온티에프 가격모형의 물가파급효과는 0.719%, 산업연쇄효과에서 전방연쇄효과는 0.558, 후방연쇄효과는 1.078로 최종수요적 산업의 특성을 나타냈다. 산업연쇄효과를 제외한나머지 효과들은 1원의 투자 또는 생산이 이루어질 때 타 산업에 미치는 영향들로써 생산유발효과와공급지장효과의 경우 1을 상회하는 높은 수치를 나타냈다. 이러한 결과는 과거 2010년에 발표된 연구와 비교했을 때 한국의 항공운송서비스 산업이 국가 경제에서 차지하는 경제적 역할과 그 영향력이증대되었음을 의미한다. 또한 제조업에 미치는 생산유발효과와 공급지장유발효과의 결과를 살펴보면, 항공운송서비스 분야 중 화물운송과 관련된 부문 역시 중요성이 증대되었음을 보여주고 있다. 이것은항공운송서비스 산업 및 이와 관련된 산업에 대한 투자 또는 지원을 함에 있어 산업의 세부 분야별로지원 규모 및 방법을 다르게 정책 방향이 수립되어야하는 것을 의미한다. 이와 같은 접근 방법과 분석결과는 항공운송서비스 산업의 역할을 파악하고 타 산업에 미치는 영향을 정량적으로 파악할 수 있기 때문에 항공운송서비스 산업의 피해로 인한 경제적 피해를 최소화시키기 위한 정책을 수립하는데 기여할 수 있다.

A Day-Ahead Optimization Method of Source–Load Coordination for Power System Using Demand Response and Stackelberg Game

Yuan Xin,Tang Hao,Liu Xin,Zhou Xiang,Guan Jinyu 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.3

The continuous expansion of renewable energy sources and their ongoing integration into existing power networks, alongside the emergence of new types of loads, has led to signifcant new challenges emerging for power grid source–load coordination scheduling in recent years. To fully harness the demand response (DR) potential of the load side of such systems, this paper proposes an optimal scheduling method based on DR and the Stackelberg game. A Stackelberg game model is established to formulate day-ahead source–load coordinated scheduling problem, taking account of the stochastic dynamic characteristics of the load response process and user electricity consumption satisfaction with electricity consumption. The model is essentially a strongly nonlinear optimization problem, however; thus, to avoid several of the limitations seen in traditional optimization methods, a data-model fusion-driven method is proposed, with electricity prices formulated by the data-driven method used as input for a model-driven method whose output is then used in turn to guide a data-driven formulation of electricity prices. Case studies on IEEE test systems are used to verify the feasibility and accuracy of the proposed method.

한국 철강산업의 국민경제적 파급효과 분석

정군오(Jung, Kun-Oh),임응순(Lim, Eung-Soon) 한국산학기술학회 2008 한국산학기술학회논문지 Vol.9 No.3

전 세계적으로 철강산업의 중요성은 높아지고 있으며, 철강수요 역시 증가하고 있는 추세이다. 한국 철강산업의 철강생산량은 전 세계에서 5위를 차치하고 있어 국내에서는 철강산업에 대한 관심이 커져가고 있다. 또한 철강산업은 국내에서 경제성장을 이끌어 온 국가기간산업중의 하나이다. 이에 본 연구에서는 산업연관분석을 이용하여 철강산업이 국민경제에 미치는 파급효과들을 시계열로 분석하여 보고자 한다. 먼저 수요유도형 모형을 이용하여 생산유발효과, 부가가치 유발효과 그리고 취업유발효과를 살펴 볼 것이며, 아울러 공급유도형 모형 및 레온티에프 가격모형을 적용하여 철강산업의 공급지장효과와 물가파급효과에 대하여 살펴보고자 한다. The steel industry is becoming more important around the world and the demand of steel is increasing. Korea is the 5th country of steel producing in the world and the attention in the steel industry is growing. The steel industry is one of the key industry in leading the economic growth in Korea. This study attempts to analyze by time-series the economic impacts of the steel industry using an inter-industry analysis. Specifically, the study investigates production-inducing effect, value added inducing effect and employ-inducing effect of the steel industry based on demand-driven model and the study deals with supply shortage effect and sectoral price effect of the steel industry by using supply-driven model and Leontief price model.

산업연관 분석을 이용한 부동산 산업의 경제적 파급효과 분석

이승철,이승재,한종호 한국부동산연구원 2009 부동산연구 Vol.19 No.1

본 논문에서는 2005년도 산업연관표에 근거한 산업연관분석을 이용하여 부동산 산업의 경제적 파급효과를 세 가지 내용으로 분석하고자 한다. 첫째, 수요유도형 모형을 이용하여 부동산산업에서의 생산 혹은 투자가 다른 산업의 생산, 부가가치, 취업에 미치는 영향을 살펴본다. 둘째, 공급유도형 모형을 적용하여 부동산산업에서의 공급지장이 다른 산업에 미치는 효과에 대해 검토한다. 셋째, 레온티에프 가격모형을 이용하여 부동산산업 산출물 가격변동이 다른 산업의 산출물 가격에 미치는 영향에 대해 논의한다. 특히 이러한 분석을 수행하는데 있어서 부동산산업을 중심에 놓고 이를 외생화하여 분석 및 해석하는 접근방법을 취함으로써 부동산산업에 대해 논의를 집중한다. 또한 전방연쇄효과 및 후방연쇄효과와 같은 정보를 얻기 위해 산업간 연쇄효과 분석결과도 제시한다. 연구결과를 요약하자면, 부동산 산업의 1원 생산은 타 산업의 생산을 0.4467원 유발하며, 타 산업의 부가가치를 0.1887원 유발한다. 부동산산업의 1원 공급지장으로 타 산업에서 0.4781원의 생산차질이 발생한다. 끝으로 부동산산업의 10% 가격인상이 타 부문에 미치는 물가파급효과는 0.0224%로 분석되었다. The real estate industry in Korea plays an important role in the national economy. This paper attempts to apply input-output (I-O) analysis to role of the real estate industry in the national economy for the year 2005, with specific application to Korea. A static I-O framework is employed, focusing on three topics in its application. First, the impacts of the production or investment in real estate industry on the production, value-added, and employment of other sectors are explored by using demand-driven model. Second, the impacts of the supply shortage in real estate industry on other sectors are looked into by using supply-driven model. Third, the impacts of the rise in real estate industry's price on prices of other products are discussed by using Leontief price model. This paper pays particular attention to the real estate industry by taking this industry as exogenous and then investigating its economic impacts. In addition, inter-industry linkage analysis is performed to obtain information on the forward and backward linkage effects to other industries. It can be summarized that the real estate industry has 1.4467 production-inducing effect, 0.4781 supply shortage effect, 0.0224 effect of price change, 0.8111 forward linkage effect, and 0.8143 backward linkage effect.

Role of the Natural Gas Supply Industry in the Korean National Economy: An Input-Output Analysis

송태호,임슬예,유승훈 한국혁신학회 2014 한국혁신학회지 Vol.9 No.1

Increasing demand for natural gas (NG) and technical developments in the NG supply industry have required that researchers provide policy makers with accessible and reliable information regarding the role of the NG supply industry in the national economy. This paper attempts to apply a static input-output (I-O) analysis to examining the role of the NG supply sector in the Korean national economy. To this end, demand-driven model, supply-driven model, and Leontief price model are discussed and employed. This study pays particular and close attention to the NG supply sector by taking the sector as exogenous and then investigating economic impacts of it. Production-inducing effects and supply-shortage effects of the NG supply sector, and the impacts of price change in the sector on industrial prices and overall price level are analyzed.

폐기물처리 및 자원재활용서비스 부문의 경제적 파급효과 분석

백민지,김호영,유승훈 한국폐기물자원순환학회 2015 한국폐기물자원순환학회지 Vol.32 No.3

The government of each country is making a policy of expanding recycling of wastes and waste-to-energy to mitigate the greenhouse gas emissions to cope with climate change. This paper attempts to analyze the economic effects of waste disposal & materials recycling services (WDMRS) sector using 2012 input-output (IO) table published in 2014. To this end, we deal with three sectors: waste disposal, materials recycling services, and WDMRS sectors. More specifically, the production-inducing effect, value-added creation effect, and employment-inducing effect of the WDMRS sector are investigated based on demand-driven model. The supply shortage effect and the price pervasive effect are also examined employing supply-driven model and Leontief price model, respectively. The results show that the production or investment of 1.0 won in the WDMRS sector induces the production of 1.9324 won and the value-added of 0.7217 won in the national economy. Moreover, the production or investment of 1.0 billion won, supply shortage of 1.0 won, and a price increase of 10.0% in the WDMRS sector touch off the employment of 15.2462 persons, production loss of 2.0589 won, and an increases in overall price level by 0.0699%, respectively. This quantitative information can be usefully utilized inassessment of the WDMRS sector-related investment and policy.

데이터산업의 경제적 파급효과 분석

민서현,진세준,임태훈,하진희,유승훈 한국혁신학회 2017 한국혁신학회지 Vol.12 No.1

The progress of knowledge information society is accelerating. Therefore, possibility of infinite data utilize is getting attention and data industry is growing actively. This study attempts to apply inter-industry analysis using exogenous specification to investigating the economic impacts of data industry in the Korean national economy. More specifically, this study shows what national economy effect of production-inducing effect, value-added creation effect, employment-inducing effect are explored with demand-driven model. The supply-shortage effect and the sectoral price effect are also analyzed with supply-driven model, Leontief price model, respectively. Furthermore, to investigate the roles of the data industry, we considered the forward/backward linkage effect. According to the results, 1 won increase of the data industry induced to increase 1.5140 won, 0.7353 won in other industries’ production and value-added creation effect, respectively. The employment- inducing effect of one billion won of production or investment in data industry is calculated to be 9.9850 persons. The data industry is classified into final primary production industry. Supply shortage effect and sectoral price effect of data industry are 0.7101 won, 0.0993% in other industries, respectively. These quantitative information can be usefully utilized in the policy-making for the data industry development project. 지식정보사회로의 진전이 가속화됨에 따라 데이터의 무한한 활용 가능성이 주목받고 있으며 관련 산업은 활발히 성장하고 있다. ‘데이터 시대’의 도래에 따라 향후 데이터산업의수준이 국가 간 경쟁력 차이를 결정하게 될 것이다. 이에 본 연구에서는 산업연관표 기본부문 중 데이터산업 관련 부문을 외생화한 후, 데이터산업이 국내 경제에 미치는 파급효과에대하여 산업연관분석을 적용하여 분석하고자 한다. 수요유도형 모형, 공급유도형 모형, 레온티에프 가격모형을 적용하였으며, 산업간 연쇄효과를 분석하여 전 산업에서 데이터산업의위치를 확인하고자 한다. 분석결과, 데이터산업에 1원의 예산이 투입되면 1.5140원의 생산유발효과, 0.7353원의 부가가치 유발효과를 일으키며, 데이터산업에서의 10억원 투자 증가는 9.9850명의 취업유발효과를 일으킨다. 데이터산업에서의 1원의 공급지장 시 타 산업에0.7101원의 타격을 미치며, 데이터산업의 산출물 가격이 10% 상승 시 타 산업에 평균0.0993%의 물가파급효과를 미치는 것으로 분석되었다. 또한 데이터산업은 모두 1보다 낮은전⋅후방 연쇄효과를 가져 최종수요적 기초산업형인 성격으로 나타났다. 이러한 정량적 정보는 데이터산업 관련 정책 수립을 위한 기초자료로 활용될 수 있다.

폐기물처리 및 자원재활용서비스 부문의 경제적 파급효과 분석

백민지,김호영,유승훈 한국폐기물자원순환학회 2015 한국폐기물자원순환학회지 Vol.32 No.3

The government of each country is making a policy of expanding recycling of wastes and waste-to-energy to mitigate the greenhouse gas emissions to cope with climate change. This paper attempts to analyze the economic effects of waste disposal & materials recycling services (WDMRS) sector using 2012 input-output (IO) table published in 2014. To this end, we deal with three sectors: waste disposal, materials recycling services, and WDMRS sectors. More specifically, the production-inducing effect, value-added creation effect, and employment-inducing effect of the WDMRS sector are investigated based on demand-driven model. The supply shortage effect and the price pervasive effect are also examined employing supply-driven model and Leontief price model, respectively. The results show that the production or investment of 1.0 won in the WDMRS sector induces the production of 1.9324 won and the value-added of 0.7217 won in the national economy. Moreover, the production or investment of 1.0 billion won, supply shortage of 1.0 won, and a price increase of 10.0% in the WDMRS sector touch off the employment of 15.2462 persons, production loss of 2.0589 won, and an increases in overall price level by 0.0699%, respectively. This quantitative information can be usefully utilized in assessment of the WDMRS sector-related investment and policy.

산업연관분석을 이용한 일본 방송산업의 국민경제적 파급효과 분석

민용식(Yong Sik Min),임응순(Eung Soon Lim),곽소윤(So Yoon Kwak) 한국아시아학회 2008 아시아연구 Vol.10 No.3

본 논문에서는 산업연관분석을 이용하여 일본 방송산업의 국민경제적 파급효과를 분석하고자 한다. 먼저 수요유도형 모형을 이용하여 생산유발효과, 부가가치 유발효과를 살펴본다. 아울러 공급유도형 모형 및 레온티에프 가격모형을 적용하여 방송산업의 공급지장효과 및 물가파급효과를 살펴본다. 이러한 분석은 모두 방송산업을 내생부문이 아닌 외생부문으로 다룸으로써 방송산업을 중심으로 이루어지게 된다. 주요 분석결과를 요약하면 다음과 같다. 방송산업의 1엔 생산은 타 산업의 생산을 0.9653엔 만큼 유발하며, 타 산업의 부가가치를 0.5323엔 만큼 유발한다. 한편 방송산업에서 1엔의 공급이 이루어지지 못할 때, 타 산업에서는 1.7383엔의 생산차질이 발생한다. 마지막으로 방송산업 산출물의 가격이 10% 상승했을 때, 국민경제 전체에 미치는 물가파급효과는 0.5596%로 분석되었다. This study attempts to examine the economic impacts of broadcasting industry in Japan using an inter-industry analysis. Specifically, the study investigates production-inducing effect and value added inducing effect of the broadcasting industry in Japan based on demand-driven model. Moreover, the study deals with supply shortage effect and sectoral price effect by using supply-driven model and Leontief price model, respectively, which have been rarely used. These analyses pay particular and close attention to the broadcasting industry of Japan by taking it as exogenous rather than endogenous. Some interesting findings emerge from the study. First, the production of 1.0 yen in the broadcasting industry in Japan induces the production of 0.9653 yen and the value-added of 0.5323 yen in other industries. Second, the supply shortage of 1.0 yen in the broadcasting industry in Japan disables other industries to produce 1.7383 yen. Finally, an increase of 10% in price level of the broadcasting industry in Japan raises the overall price level by 0.5596%.