스포츠산업·경영학 : 우리나라 스포츠산업의 성장요인과 스포츠산업의 유발계수 분석

김예기(KimYea-Gi) 한국체육학회 2005 한국체육학회지 Vol.44 No.3

Sports has emerged as an industry with its economic value recognized and the industrial structures being sophisticated and advanced. Though sport has been becoming an industry as well as helping people to boost health, realize their egos and reduce stress, there had been few economic approaches to sports industry in Korea.It is urgent to analyze sport industry economically since it has the characteristics of a complex industry and it is one of the promising industries for the future. Thus this paper, by using input-output tables from the years of 1985, 1990, 1995, and 2000, deals with the total output and the structural changes of sport industry in Korea and then examines production-inducing coefficient, value-adding coefficient, forward linkage effect and backward linkage effect of the industry.The total output of the nation's sport industry in 2000 amounted to 11.2033 trillion won, about 8.5 times more compared with 1.3238 trillion won in 1985. The growth rate of sport industry exceeded the GDP growth rate during the same period, thus can be considered to contribute to the developments of the overall industries. However, the portion of the sport industry is just 0.6~0.69% to the overall GDP.As of 2000, the sport industry in Korea was structurally concentrated on the sport services. The portion of the sport services to the sport industry in 2000 had increased to 70.0% from 45.1% in 1985 while the portion of the sport goods in 2000 had decreased to 21.2% from 45.0% in 1985. It can be said desirable that the importance of sport services has been emphasized in terms of the sports industry being serviceable.After measuring several induced coefficients of sport industry by using input-output analysis, it has revealed that forward linkage effect of production-inducing effect, value-adding effect are higher than the overall industries while backward linkage effect is lower. Sport goods has high production-inducing coefficient, and forward linkage effect with sport services having high value-adding coefficient. When making policies related to sport industry, these facts are needed to be considered to pursue the development of the industry.

경북지역 철강산업의 지역간 산업연관효과 분석

이춘근 재단법인 대구경북연구원 2017 대구경북연구 Vol.16 No.1

This study is to analyze inter-regional and inter-industrial linkage effects of the steel industry in Gyeongbuk region using the 2013 inter-regional input-output table. For the analysis, 16 regions were reclassified into five regions, Daegu, Gyeongbuk, Capital Metropolitan region, South-East region, and Other regions, and various industrial linkage effects were re-estimated. The steel industry in Gyeongbuk region was the second highest specialized sector following electronic industries among manufacturing industries in the region, and the portion of intermediate inputs and demands was very high. The production inducement coefficients of the steel industry in Gyeongbuk region were considerably higher than average of the entire 30 industrial sectors, and far higher than those of the steel industry in South-East region, Capital Metropolitan region, and Daegu region. The index of the sensitivity of dispersion showing forward linkage effect of the steel industry in Gyeongbuk region was 3 times higher than average of the entire industries, and impact factor showing backward linkage effect was higher than 1. Therefore, the steel industry in Gyeongbuk region is an intermediate-demanding and manufacturing industry. When the price of the steel industry in Gyeongbuk region is rising 10%, its effects on other regions were highest in Daegu region, and then Capital Metropolitan region, South-East Region, and Gyeongbuk region followed in order. For the entire Korea, it affected higher price-rising pressure of 24.8%. The linkage effects of the steel industry in Gyeongbuk region were more highly linked with Capital Metropolitan region or South-East region than Daegu region, it is necessary to seek more actively industrial collaboration with these regions. 본 연구는 한국은행에서 최근 발표한 2013년 지역간 산업연관표를 이용하여 경북지역 철강산업의 지역간, 산업간 연관효과를 분석한 연구이다. 분석을 위해 16개 권역을 대구와 경북, 수도권, 동남권, 기타권 등 5개 권역으로 재분류한 후 여러 가지 산업연관효과를 분석하였다. 분석결과 경북지역 철강산업은 타 지역, 타 산업에 비하여 중간투입과 중간수요의 비율이 상당히 높고, 생산유발계수는 30개 부문 전체 산업 평균보다도 상당히 높으며, 동남권이나 수도권, 대구 등에 비해서도 훨씬 더 높았다. 경북지역 철강산업의 감응도계수는 전체산업 평균보다 3배 정도 높았고, 영향력계수도 1보다 높아 상대적으로 전체산업 평균보다 높았다. 따라서 경북지역 철강산업은 중간수요적 제조업형 산업이라고 할 수 있다. 경북지역 철강산업의 물가가 인상될 경우, 대구지역에 가장 높은 영향을 미쳤고, 그 다음 수도권, 동남권, 경북권 등의 순으로 영향을 미쳤다. 경북지역 철강산업이 타 지역에 미치는 생산유발효과는 수도권에 가장 큰 영향을 미쳤고, 그 다음 동남권, 경북권 등에 영향을 미쳤다. 산업별로는 철강제품에 가장 높은 영향을 미쳤고, 석탄 및 석유제품, 전력·가스 및 증기제품, 도·소매 서비스, 운송 서비스 등에 높은 영향을 미쳤다.

물류산업의 주요 경제적 파급효과분석 (MRIO를 이용하여)

최영윤,김찬성,박민철,성홍모,신승진 대한교통학회 2010 대한교통학회지 Vol.28 No.1

This study aims to identify the impact of the logistics industry on the Korean national economy. To do this, we used a MRIO table provided by the Bank of Korea which includes inter and intra regional relationship of the production and consumption for 6 areas - the Seoul Metropolitan, Gangwon, Chungcheong, Jeonra, Gyeongbuk, Gyeongnam area, but an original MRIO table was recomposed of 29 sectors focused on logistics industry for the purpose of this study. we analyzed producing-inducing effects, supply-shortage effects and inter-industry linkage effects based on logistics industry by region and industry. As a result, the logistics industry has more supply-shortage effect rather than production-inducing effect and has a higher ripple effect on the automotive in Gyeongnam area and petrochemical industry in Jeonra area. In particular, the ripple effect of th Metropolitan logistic industry was far smaller than that of other areas, because the Seoul Metropolitan industry was identified as the primary and middle demand industry. 본 논문은 국가 경제의 동맥역활을 하는 물류산업에 초점을 맞추고 권역별 물류산업의 특징과 경제적 파급효과를 분석하였다. 이를 위하여 물류산업을 중심으로 6개 권역(수도권, 강원권, 충청권, 전라권, 경북권, 경남권)으로 구분된 지역산업연관표(MRIO표)를 이용하여 지역별, 산업별로 경제권에 대한 분석을 수행하였다. 연구의 목적에 맞게 기존의 산업연관표를 중심으로 29개 부문으로 재구성하였고, 총산출액 비교 및 외생화 방법을 이용하여 생산유발효과, 공급지장효과, 전후방연쇄효과 등을 분석하였다. 분석결과, 물류산업은 생산유발효과보다 공급지장효과가 큰 산업으로 나타났고, 지역간의 거래보다는 지역내의 거래가 상대적으로 많은 것으로 나타났다. 그 밖에 수도권 물류산업은 중간수요적 원시산업 특성을 가지는 관계로 파급효과가 미약한 것으로 나타났고, 경남권의 자동차 및 석유화학, 전라권의 석유화학 등에 미치는 물류산업의 파급효과가 큰 것으로 나타났다.

대구경북지역 자동차부품산업의 지역간 산업연관효과 분석

이춘근(Lee Choon Keun),김진찬(Kim Jin Chan) 한국경제통상학회 2017 경제연구 Vol.35 No.4

본 연구는 한국은행에서 최근 발표한 2013년 지역간 산업연관표를 이용하여 대구와 경북지역 자동차부품산업의 지역간, 산업간 연관효과를 분석한 연구이다. 분석을 위해 16개 권역을 대구와 경북, 수도권, 동남권, 기타권 등 5개 권역으로 재분류하고 산업은 자동차부품산업을 별도로 구분하기 위해 161개 산업소분류에서 운송장비부문인 92부문에서 98부문을 도출하고, 30개 산업대분류와 통합하여 전체 산업을 35개 산업으로 분류한 후 재추정 분석하였다. 분석결과 대구와 경북지역 철강산업은 타 지역에 비하여 중간투입과 중간수요의 비율이 낮고, 여러가지 산업연관효과도 비교적 낮았다. 다만 부가가치유발계수는 상대적으로 다소 높았다. 대구와 경북지역 자동차부품산업을 외생화하여 타 지역에 미치는 생산유발효과를 계산하면, 지역별로는 수도권과 기타권, 동남권 등에 높은 영향을 미쳤지만, 대구와 경북지역 간에는 효과가 상당히 낮았다. 산업별로는 두 지역 모두 1차 금속제품에 가장 높은 영향을 미쳤고, 그 다음 화학제품, 자동차부품, 금속제품, 도·소매서비스업 등에 높은 영향을 미쳐 자동차부품산업이 발전하기 위해서는 이들 산업의 발전도 필요한 것으로 분석되었다. 대구와 경북지역은 타 지역보다 크게 낮은 중간수요 비중을 높이고, 전방으로의 가치사슬체계를 강화하여 전방연관효과가 제고될 수 있도록 노력해야 한다. 지역적으로는 대구과 경북지역간 보다는 수도권과 동남권, 기타권 등과의 연관효과가 높으므로 이들 지역과의 산업협력관계를 보다 체계적으로 구축해야 할 것이다. This study is to analyze the inter-industrial linkage effects among regions and industries in automobile parts industry in Daegu and Gyeongbuk region, using the regional input-output table in 2013. For the analysis, 16 regions were recategorized into 5 regions consisting of Daegu, Gyeongbuk, Capital Metropolitan Region, East-south region and other regions, and for the industries, in order to classify automobile parts industries, sections between 92 and 98 standing for transportation device parts among 161 small categories for the industries were derived, and they were integrated with 30 large categories for the industries. And then, the entire industries were reclassified into 35 industries. As a result of the analysis, the automobile parts industry in Daegu and Gyeongbuk were lower in intermediate input and intermediate demand, than other regions. In addition, they were lower in various input-output effects. However, value added inducement coefficients were relatively higher. When calculating the production inducement effects on other regions by using input-output analysis on automobile parts industries in Daegu and Gyeongbuk regions, it had higher effects on the Capital Metropolitan region, other regions, and East-South region while the effects between Daegu and Gyeongbuk region were considerably low. By industry, both the regions showed the highest effects on the primary metal products, and then chemical products, automobile parts, metal products, and wholesale and retail service industries followed in order. When the final demand of automobile parts industry in Daegu region is increased by 10 units, the production inducement effects over the entire Korea were 28.1527 units and the production inducement effects in Gyeongbuk region were 29.0928 units. Therefore, Daegu and Gyeongbuk regions should make an effort to raise forward linkage effects by raising the share of their intermediate demands which is far lower than other regions, and strengthening forward value-chain system. For region, the inter-industrial linkage effects with Capital Metropolitan region, East-south region, and other regions are higher than that between Daegu and Gyeongbuk region, and so the industrial collaborative relations with these regions should be more systematically established.

지역연계형 산업정책을 위한 산업구조분석

김성록(Kim, Sung Rok),남기영(Nam, Gi Young),박영순(Park, Young Soon),윤준상(Yoon, Jun Sang) 한국지역개발학회 2019 韓國地域開發學會誌 Vol.31 No.5

The demand for industrial cooperation between regions will increase due to the rise in the frequency of exchange between industries in different regions in addition to the rise in the frequency of exchange within a region. Therefore, it is necessary to study the types of linkage structure to efficiently promote regional industrial policy. The present study is an analysis of industrial linkage structures in order to provide basic information aimed at industrial policy linkage between regions, with the results as follows. The study found that when demand for audio-visual production and distribution, information services, communication services, and insurance services occurs in any region other than the Jeju region, its ripple effect was concentrated on the Seoul Capital Area. The Chungcheong region needs to focus on developing industries such as synthetic resins and synthetic rubber, plastic products, chemical fiber, electronic display devices, and processed steel products. With an industrial linkage structure between regions similar to the Chuncheong region, the Honam region, too, was found to benefit from the frequent formation of a ripple effect when demand for one factor industries occurs in any region in South Korea other than the Southeast region of Korea and the Jeju region. When demand for two factor industries such as metal casting, primary steel products, processed steel products, metal products, general purpose machines, and special purpose machines occurs in any region in South Korea other than the Jeju region, the Daegyeong region experiences an amplified ripple effect. Unlike other regions, thedaciousongnam region appeared to have a level distribution of industries with a large ripple effect. When demand for industries scoring high in the three factor score, such as nonmetal mineral products, coal and petroleum products, and lumber and wood products, occurs in any region in South Korea including the Jeju region, its ripple effect was the greatest in the Gangwon region. When demand for industries highly related to culture and tourism such as food, restaurants, and lodging services occurs in any region other than Jeju, its ripple effect was prominent in the Jeju region.

중국 수도권의 산업구조 분석 : 전·후방연계효과를 중심으로

송영현(Song, Young Hyun),강현철(Kang, Hyun Chul) 한국지적정보학회 2020 한국지적정보학회지 Vol.22 No.1

2000년대 중반 이후, 중국은 산업구조 고도화와 산업연계 강화를 통한 수도권의 산업발전을 도모해 오고 있다. 이에 본 연구는 중국 수도권을 구성하고 있는 베이징, 톈진, 허베이의 산업연관모형을 구축하고, 이를 통해 각 지역의 전·후방 산업연계구조를 분석하였다. 각 지역별로 전·후방 산업연계효과가 큰 산업들을 도출하고 비교분석하였으며, 중국 수도권 내 지역별 핵심산업을 파악하고, 각 지역의 산업구조 고도화와 지역별 산업연계 가능성에 대해 검토하였다. 분석결과, 베이징과 톈진의 전후방 연계가 강한 핵심산업들은 대부분 산업구조 고도화 목표와의 관련성이 낮은 것으로 나타났다. 반면, 허베이의 경우 전후방 연계가 강한 핵심산업 대부분이 산업구조 고도화 목표와 관련된 것으로 나타났다. 이를 통해 얻을 수 있는 정책적 시사점은 다음과 같다. 베이징과 톈진의 경우, 산업구조의 고도화 목표를 달성하기 위한 핵심산업 분야를 조속히 육성하고, 타 산업부문과의 연계구조를 형성하기 위한 정책방안을 강구할 필요가 있다. 허베이의 경우, 성공적인 산업구조 고도화를 위해서 베이징, 톈진과 유기적으로 연계되는 산업이전계획을 수립, 실행할 필요가 있다. 국내 수도권의 경우 지역별 산업기능 중복문제를 해결하기 위한 산업구조 재편이 이뤄져야 한다. 이를 위해 수도권의 지방정부들이 주도적으로 협력하여 상호보완성을 담보하는 지역산업계획을 수립, 추진하는 방안을 검토해야 한다. Since the mid-2000’s, China has been promoting industrial development in Beijing Metropolitan Area by upgrading industrial structures and strengthening industrial linkages. This study aims to investigate core industries of Beijing Metropolitan Area through analyzing backward and forward linkage effects. Based on this research background, this study analyzed industrial linkage structures of Beijing Metropolitan Area by establishing input-output models. The results are as follows: Most of core industries with strong backward and forward linkage effects are less related to advancement goals of industrial structure in Beijing and Tianjin. On the other hand, most of core industries with strong backward and forward linkage effects are closely related to them in Hebei. Based on the analysis, we suggested the necessity of following policy directions. First, it is necessary to incubate core industries to achieve industrial development goal related to advancing industrial structure and strengthening industrial linkages in Beijing and Tianjin. Second, it is important to make reasonable industrial transfer plan in Hebei. Lastly, to solve problems derived from duplicate functions of industries among regions, it is needed to build cooperative inter-regional industrial plan in Seoul Metropolitan Area.

Industrial Linkage Structure between Land Transport Industry and Distribution Industry in Korea

김용정,Yi-Peng Sheng 사람과세계경영학회 2022 Global Business and Finance Review Vol.27 No.1

Purpose: This study analyzes the production inducement effect and industrial linkage structure of the land transport industries using input-output analysis. In particular, the focus of research is to confirm the link between the land transport industries and the distribution industry in the industrial linkage structure. Design/methodology/approach: The methodology is used by Input-Output Analysis. The analysis focus is calculated the backward linkage effect (BL) and forward linkage effect (FL) using Input Coefficient and Production Induced Coefficient. The analysis data was applied to Korean time-series data from 2000 to 2014 from the World Input-Output Database (Released November 2016). Findings: In Korea, most domestic transportation needs are land transport, and storage services are also provided in conjunction with this. Therefore, it was found that wholesale and retail businesses (G46, G47) in the distribution industry are widely used as intermediary goods. Without the expansion and development of land transport service networks and courier service facilities in Korea, the current chaos caused by COVID-19 would have intensified. Research limitations/implications: The limitation of the study was that reliable data from the WIOD were used but failed to exclude the passenger sector contained in the land transport industries data. Therefore, it is necessary to secure more pertinent data and industrial classifications embodied in the land transport industries. Furthermore, with additional research direction, we analyze the structure of the forward and backward industries of each country's logistics industry and propose establishing the logistics service supply chain concept. Originality/value: Through this study's results, effective industrial policy establishment will be possible considering industries with high production inducement effect to forward and backward industries by the shipping and land transport industries. This study has a meaningful implication that it provides a foundation for understanding the industrial structure linked to the distribution and land transport industries.

보관물류업의 산업연계구조와 경제적 파급효과 분석

김용정,김윤진 한국무역경영학회 2022 한국무역경영연구 Vol.- No.25

This study analyzed the forward and backward industrial structures of the warehousing industry through input-output analysis. The analysis data used data from the National IO Tables (Released Number 2016) of the World Input-Output Database (WIOD) of the EU. As a result of the analysis, the warehousing industry (H52) showed a higher forward linkage effect than the backward linkage effect. In Korea, most of the domestic transportation demand is land transportation. And connected to this, warehousing services such as storage, handling, and packaging are provided. In addition, it can be seen that warehousing services are widely used as intermediate goods in wholesale and retail businesses (G45, G46, and G47), which are distribution businesses. This study is meaningful in that it provides a foundation for understanding the industrial structure linked to the warehousing industry. Using the research results, it will be possible to establish an effective industrial policy in consideration of industrial fields with high economic ripple effects due to the warehousing industry.

산업연관관계에 기초한 대분류산업 간 생산성 파급효과 분석

김원규(Won-Kyu Kim),김진웅(Jin-Woong Kim) 한국산업경제학회 2013 산업경제연구 Vol.26 No.6

우리 경제의 성장잠재력 확충을 위해서는 특히 제조업과 서비스산업 간의 동반발전이 요구되고 있으며 이를 위해서는 제조업과 서비스산업 간의 연계 강화가 중요한 과제이다. 1980년 이후 그동안 제조업은 우리 경제의 성장과 생산성 향상을 주도하였는데 반하여 서비스산업은 생산성 수준과 증가율 면에서 매우 낮은 수준을 시현하여 왔다. 특히 성장잠재력의 중요한 원천이라고 할 수 있는 혁신역량지표인 총요소생산성을 산업별로 살펴보면, 2009년 현재 금융?부동산?사업서비스업, 도소매?음식숙박업, 운수?통신업, 사회?개인서비스업의 총요소생산성은 제조업의 78%, 64%, 58%, 18% 수준에 불과하다. 대분류산업을 대상으로 산업간의 생산성 파급효과를 분석한 결과에 따르면, 개별산업의 자체적인 연구개발활동 뿐만 아니라 여타산업의 혁신이 중간재 또는 자본재 투입구조를 통하여 개별산업의 생산성 향상에 기여하였다. 따라서 우선 국내산업간 중간재 또는 자본재 투입구조상의 중요성과 산업간 생산성 파급효과의 견지에서 제조업의 지속적인 혁신강화 노력이 필요함을 나타내고 있다. 또한 경제 전체의 시너지효과 제고 차원에서 서비스산업의 경쟁력 강화와 이를 통한 산업간 연계 강화 노력이 시급하다. In order to raise our growth potential of the economy, in particular, an inclusive growth between manufacturing and service industries through an emphasis on inter-industrial linkage is necessary. Unlike service industry, manufacturing industry has led an economic growth and a productivity improvement since 1990, in Korea. The productivities in some service industries - finance ? real estate ? business service / wholesale ? retail ? hotel ? restaurant / transportation ? telecommunication / social and other personal services are only 78%, 64%, 58%, and 18% of the productivity in manufacturing industry. Our empirical results for the inter-industrial spillover effect of productivity shows the following implications. At first, the productivity in an industry receives a significantly positive effect from innovation in other industries as well as from an internal innovative effort like R&D activity. The path of the former effect was tested using two inter-industrial input linkages - intermediary goods and capital goods. Secondly, the results provide that the effort for continuous innovation in manufacturing industry is necessary, in consideration of the status of manufacturing industry in both inter-industrial input linkages. Lastly, it is implied that a sustainable economic growth can be realized by raising competitiveness in service industry which has already gotten back behind and, at the same time, by strengthening inter-industrial linkage between both industries

기상산업의 경제적 파급효과 분석

김현정,김정인,손희철 한국환경정책학회 2019 環境政策 Vol.27 No.3

This study analyzes the economic effects of the meteorological industry using inter-industry analysis. Based on the meteorological industry classification system and the 10th Korean standard industry classification, an industry association table was arranged and the production inducement effect, value-added inducement effect, and inter-industrial chain effect of the meteorological industry were analyzed. As a result, the production-inducement effect and the value-added inducement effect on the whole industry were estimated at approximately 323.6 billion won and 162.3 billion won, respectively. In addition, the influence coefficient of the meteorological industry was estimated to be 2.08 and the sensitivity coefficient to be 1.7581. Based on the results, it can be concluded that the meteorological industry has the highest front-to-back chain effect and the strongest impact on the whole industry. 산업계의 기상정보 수요가 점차 증가하는 가운데, 체계적인 기상산업 육성을 위해서는 객관화된 근거 마련이 선행되어야 한다. 본 논문에서는 기상산업 분류체계와 한국표준산업분류(10차)를 바탕으로 산업연관표를 재조정하고, 산업연관분석을 이용해 기상산업의 생산유발효과, 부가가치유발효과 및 전체 산업부문간 연쇄효과를 살펴보았다. 그 결과 전체 산업에 대한 기상산업의 생산유발효과 및 부가가치유발효과는 각각 약 3,236억 원, 1,623억 원으로 추산되었다. 또한 기상산업의 영향력 계수는 2.08, 감응도 계수는 1.7581로 추산되어 기상산업은 전 산업 중 전·후방 연쇄효과가 가장 큰 파급력이 높은 산업인 것으로 분석할 수 있다.