• 제목/요약/키워드: product inducement coefficient

검색결과 7건 처리시간 0.031초

투입산출모형을 통한 항공산업의 경제적 파급효과 분석 (The Economic Inducement Effects of Aviation Industry using Input-Output Model)

  • 이영수;여규헌
    • 한국항공운항학회지
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    • 제16권3호
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    • pp.50-57
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    • 2008
  • This paper analyse the economic inducement effects of aviation industry using Input-Output Model. For measuring economic inducement effects of aviation industry on korean economy, this paper divides air transport industry as two - manufacturing industry and service industry. we also use Input-Output Table of year 1990 through 2003 from Bank of Korea. Empirical results tells that aviation manufacturing industry have high product inducement effects to national economy although its low value-added coefficient such as 0.486 for aviation manufacturing industry and 0.447 for aviation service industry. public R&D doesn't have much effect to each of aviation industries.

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산업연관분석을 이용한 정보보호 산업의 경제 파급효과 분석 (The Analysis of Economic Impact for Information Security Industry using Inter-Industry Analysis)

  • 정은희
    • 한국정보전자통신기술학회논문지
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    • 제13권1호
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    • pp.72-80
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    • 2020
  • 인공지능, IoT 등의 4차 산업의 등장으로 정보화는 가속화됨에 따라 정보보호 산업의 중요성과 시장의 규모가 증가하고 있다. 본 논문에서는 증가하는 정보보호 산업이 국내 경제에 미치는 영향을 산업연관표를 이용하여 분석하였다. 본 논문에서는 산업부문을 정보보호 제품산업과 정보보호 서비스 산업을 분류한 후에, 35개의 산업으로 산업연관표를 재분류하였고, 생산유발계수, 부가가치유발계수, 고용유발계수 등을 산출하였다. 정보보안 제품산업과 정보보안 서비스 산업의 생산유발계수는 각각 1.571, 1.802이고, 부가가치유발계수는 각각 0.632, 0.997이고, 고용유발계수는 각각 2.494, 7.361이다. 정보보호 서비스 산업의 부가가치유발계수만이 전체 산업보다 다소 높고, 나머지 유발계수는 모두 전체 산업보다 낮게 나타났다. 그리고 정보보호 제품산업에는 전·후방연쇄효과가 없고, 정보보호 서비스 산업에는 후방연쇄효과는 없으나 전방연쇄효과는 있는 것으로 나타났다. 정보보호 산업의 경제적 파급효과를 분석한 결과, 생산유발액은 359.9조원, 부가가치유발액은 164.8조원에 달하고, 803천명의 고용을 유발하는 것으로 나타났다.

펄프, 종이 및 종이제품의 국민경제 기여도 분석 (Input-output Analysis for Pulp, Paper and Paper Product Industries)

  • 김철환;문지민;김의경;안병일
    • 펄프종이기술
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    • 제42권4호
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    • pp.45-55
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    • 2010
  • In order to investigate the structures and growth patterns of pulp and paper industries of Korea, the input-output tables of the year 1995, 2000, 2005 and 2007 were analyzed in this papers. The production inducement coefficients of these industries have grown during the designated period. In 2007, the value of production induced by pulp industry was estimated to be 343,8 billion won. Paper and paper product industries were estimated to induce the production of other industries by 7,281,6 and 8,515.9 billion won, respectively. The import inducement effect of pulp industry was estimated to be larger than that of paper and paper product industries. Analysis on the forward linkage effects indicated that paper and paper product industries were more sensitive to the change in demand of other industries than pulp industry.

An Economic Ripple Effect Analysis of Domestic Supercomputing Simulation in the Industrial Sector

  • Ko, Mihyun;Kim, Myungil;Park, Sung-Uk
    • Journal of Information Science Theory and Practice
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    • 제10권spc호
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    • pp.66-75
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    • 2022
  • The manufacturing industry is the foundation that drives economic growth, and manufacturing innovation is essential for sustainable growth advantage and the transition into a digital economy. Therefore, major countries actively support the field of simulations, which incorporate information and communication technologies into manufacturing, and announce various policies at the national level along with increasing investment. Simulation technology virtualizes product development processes to replace physical production and experimentation of products, dramatically reducing time and costs. In South Korea, the Korea Institute of Science and Technology Information (KISTI) has supported manufacturing companies for about 14 years by providing relevant technologies. This study uses the input-output table for the Bank of Korea to analyze the economic ripple effect. First, we identified the domestic industrial sector dealing with the supercomputing-based simulation industry. Then we analyzed its ripple effects by dividing them into the production inducement effect, value-added inducement effect, employment inducement effect, and forward/backward linkage effect. Consequently, when the supercomputing simulation budget of KISTI (28.3 billion won, 2007-2020) was set as an input coefficient, the analysis showed 45.1 billion won as the production inducement effect, 24.7 billion won as the value-added inducement effect, and 282 individuals per 1 billion won as the employment inducement effect. This study is significant in that it derived the effects of the inputs by analyzing the economic ripple effects of the projects of KISTI, which have been supporting South Korean manufacturing companies for the past 14 years with supercomputing-based simulations.

영화산업의 경제적 파급효과 분석 (Estimation of Economic Value of the Film Industry in the National Economy)

  • 배기형
    • 한국콘텐츠학회논문지
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    • 제12권9호
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    • pp.172-181
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    • 2012
  • 영화산업은 고부가가치 문화산업이며, 한 나라의 문화에 대한 척도로서 국민들의 자긍심을 높여주는 산업으로 반드시 육성해야 하는 전략산업 중의 하나이다. 그러나 영화산업의 중요성과 가치에 대한 국가적인 공감대의 형성 부족과 영화산업을 국가 전략산업으로서의 가치 인식의 미미로 인하여 영화산업의 발전에 큰 어려움을 겪고 있다. 이러한 문제점을 해결하기위해 본 연구는 한국은행의 2009년 산업연관표에서 영화제작 및 배급, 영화상영 등 2개 부문만을 영화산업으로 한정하고 새로이 영화 산업연관표를 작성, 활용하여 영화산업의 경제적 효과를 분석하였다. 연구 결과 다음과 같다. 영화산업의 총생산유발액은 82.8조원이며, 특히 영화산업 산업(영화제작 및 배급부문과 영화상영 부문)의 생산유발계수는 2.324(2.240, 2.478), 감응도계수 0.825(0.825, 0.501),영향력계수 1.163(1.121, 1.240), 부가가치유발계수는 0.884(0.479, 0.547), 소득유발계수 0.454(0.211, 0.236), 생산세유발계수 0.110(0.090, 0.146) 그리고 노동유발계수 0.017(0.014,0.022)등을 보여주고 있다.

임도시설 투자의 경제적 파급효과 분석 (An Analysis for the Economic Impact of Forest Road Investment)

  • 이승정;정병헌;김기동;전현선;조민우
    • 한국산림과학회지
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    • 제106권2호
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    • pp.219-229
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    • 2017
  • 임도는 산림자원의 조성과 관리, 그리고 목재와 단기소득 임산물 생산 운반 등 산림경영을 위한 필수적인 기반시설이다. 최근에는 산림 병해충 방제, 산불예방 및 진화뿐만 아니라 산림휴양과 산림스포츠 등에도 적극 활용되고 있다. 임도를 건설하면 산림 내에서 경제적 기능이 활성화되어 생산 및 부가가치 유발은 물론 고용창출의 파급효과를 가져올 수 있다. 따라서 본 연구의 목적은 임도를 건설함에 따라 경제 전반으로 발생하는 파급효과를 분석하는 것이다. 분석을 위해 산업 간의 상호연관관계를 수량적으로 분석하는 산업연관분석 방법을 적용하였다. 자료는 2014년 한국은행의 투입산출표를 사용하였다. 임도를 건설하면 임도 건설에 따른 경제적 효과도 발생하지만, 임도 건설 후 임산물 생산 증대로 인한 경제적 효과도 발생하게 된다. 따라서 두 가지 효과에 대한 경제적 파급효과를 분석할 것이다. 몇 가지 가정을 통해 임산물 재배의 경제적 효과인 임산물 생산액 예측치를 계산하고 경제적 파급효과를 분석하였다. 임도 건설부문은 농림수산토목 부문으로 정의하였고, 임산물 부문은 원목, 식용임산물, 기타임산물의 합으로 정의하였다. 임도건설과 임업임산물로 정의한 2개 부문을 제외하고 나머지 부문은 기존 한국은행 30개 통합대분류의 분류체계에 맞게 통합하여 총 32개 부문으로 분류하였다. 분석결과 임도건설에 대한 생산유발계수는 2.767로 분석되었고 임업임산물에 대한 생산유발계수는 1.565로 분석되었다. 이는 임도를 건설하면 임도건설에 따라 그 투자수요의 2.767배 만큼의 생산이 전체 산업에서 유발됨을 나타내고 임업임산물 생산 증대에 따라 전체 산업에서 임업임산물 생산액의 1.562배 만큼의 생산이 유발되는 것을 의미한다. 임도건설에 대한 부가가치유발계수는 0.977로 분석되었고 임업임산물에 대한 부가가치유발계수는 0.985로 분석되었다. 임도시설은 임업발전의 필수적인 기반시설로서 산림경영, 산림휴양, 산림스포츠, 마을연결 등의 기능과 함께 목재생산과 단기임산물 생산의 필수적인 요소이므로 지속적인 투자가 이루어져야 할 것이다.

산업관련표(産業關聯表)에 의(依)한 임업구조분석(林業構造分析)과 유발생산액(誘發生産額) -임업(林業)이 한국경제(韓國經濟)에 미치는 영향(影響)- (Analysis of Forestry Structure and Induced Output Based on Input - output Table - Influences of Forestry Production on Korean Economy -)

  • 이승윤
    • Journal of the Korean Wood Science and Technology
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    • 제2권4호
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    • pp.4-14
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    • 1974
  • The total forest land area in Korea accounts for some 67 percent of the nation's land total. Its productivity, however, is very low. Consequently, forest production accounts for only about 2 percent of the gross national product and a minor proportion of no more than about 5 percent versus primary industry. In this case, however, only the direct income from forestry is taken into account, making no reference to the forestry output induced by other industrial sectors. The value added Or the induced forestry output in manufacturing the primary wood products into higher quality products, makes a larger contribution to the economy than direct contribution. So, this author has tried to analyze the structure of forestry and compute the repercussion effect and the induced output of primary forest products when utilized by other industries for their raw materials, Hsing the input-output table and attached tables for 1963 and 1966 issued by the Bank of Korea. 1. Analysis of forestry structure A. Changes in total output Durng the nine-year period, 1961-1969, the real gross national product in Korea increased 2.1 times, while that of primary industries went up about 1. 4 times. Forestry which was valued at 9,380 million won in 1961, was picked up about 2. 1 times to 20, 120 million won in 1969. The rate of the forestry income in the GNP, accordingly, was no more than 1.5 percent both in 1961 and 1962, whereas its rate in primary industries increased 3.5 to 5.4 percent. Such increase in forestry income is attributable to increased forest production and rise in timber prices. The rate of forestry income, nonetheless, was on the decrease on a gradual basis. B. Changes in input coefficient The input coefficient which indicates the inputs of the forest products into other sectors were up in general in 1966 over 1963. It is noted that the input coefficient indicating the amount of forest products supplied to such industries closely related with forestry as lumber and plywood, and wood products and furniture, showed a downward trend for the period 1963-1966. On the other hand, the forest input into other sectors was generally on the increase. Meanwhile, the input coefficient representing the yolume of the forest products supplied to the forestry sector itself showed an upward tendency, which meant more and more decrease in input from other sectors. Generally speaking, in direct proportion to the higher input coefficient in any industrial sector, the reinput coefficient which denotes the use of its products by the same sector becomes higher and higher. C. Changes in ratio of intermediate input The intermediate input ratio showing the dependency on raw materials went up to 15.43 percent m 1966 from 11. 37 percent in 1963. The dependency of forestry on raw materials was no more than 15.43 percent, accounting for a high 83.57 percent of value added. If the intermediate input ratio increases in any given sector, the input coefficient which represents the fe-use of its products by the same sector becomes large. D. Changes in the ratio of intermediate demand The ratio of the intermediate demand represents the characteristics of the intermediary production in each industry, the intermediate demand ratio in forestry which accunted for 69.7 percent in 1963 went up to 75.2 percent in 1966. In other words, forestry is a remarkable industry in that there is characteristics of the intermediary production. E. Changes in import coefficient The import coefficient which denotes the relation between the production activities and imports, recorded at 4.4 percent in 1963, decreased to 2.4 percent in 1966. The ratio of import to total output is not so high. F. Changes in market composition of imported goods One of the major imported goods in the forestry sector is lumber. The import value increased by 60 percent to 667 million won in 1966 from 407 million won in 1963. The sales of imported forest products to two major outlets-lumber and plywood, and wood products and furniture-increased to 343 million won and 31 million won in 1966 from 240million won and 30 million won in 1963 respectively. On the other hand, imported goods valued at 66 million won were sold to the paper products sector in 1963; however, no supply to this sector was recorded in 1963. Besides these major markets, primary industries such as the fishery, coal and agriculture sectors purchase materials from forestry. 2. Analysis of repercussion effect on production The repercussion effect of final demand in any given sector upon the expansion of the production of other sectors was analyzed, using the inverse matrix coefficient tables attached to the the I.O. Table. A. Changes in intra-sector transaction value of inverse matrix coefficient. The intra-sector transaction value of an inverse matrix coefficient represents the extent of an induced increase in the production of self-support products of the same sector, when it is generated directly and indirectly by one unit of final demand in any given sector. The intra-sector transaction value of the forestry sector rose from 1.04 in 1963 to 1, 11 in 1966. It may well be said, therefore, that forestry induces much more self-supporting products in the production of one unit of final demand for forest products. B. Changes in column total of inverse matrix coefficient It should be noted that the column total indicates the degree of effect of the output of the corresponding and related sectors generated by one unit of final demand in each sector. No changes in the column total of the forestry sector were recorded between the 1963 and 1966 figures, both being the same 1. 19. C. Changes in difference between column total and intra-sector transaction amount. The difference between the column total and intra-sector transaction amount by sector reveals the extent of effect of output of related industrial sector induced indirectly by one unit of final demand in corresponding sector. This change in forestry dropped remarkable to 0.08 in 1966 from 0.15 in 1963. Accordingly, the effect of inducement of indirect output of other forestry-related sectors has decreased; this is a really natural phenomenon, as compared with an increasing input coefficient generated by the re-use of forest products by the forestry sector. 3. Induced output of forestry A. Forest products, wood in particular, are supplied to other industries as their raw materials, increasng their value added. In this connection the primary dependency rate on forestry for 1963 and 1966 was compared, i. e., an increase or decrease in each sector, from 7.71 percent in 1963 to 11.91 percent in 1966 in agriculture, 10.32 to 6.11 in fishery, 16.24 to 19.90 in mining, 0.76 to 0.70 in the manufacturing sector and 2.79 to 4.77 percent in the construction sector. Generally speaking, on the average the dependency on forestry during the period 1963-1966 increased from 5.92 percent to 8.03 percent. Accordingly, it may easily be known that the primary forestry output induced by primary and secondary industries increased from 16, 109 million won in 1963 to 48, 842 million won in 1966. B. The forest products are supplied to other industries as their raw materials. The products are processed further into higher quality products. thus indirectly increasing the value of the forest products. The ratio of the increased value added or the secondary dependency on forestry for 1963 and 1966 showed an increase or decrease, from 5.98 percent to 7.87 percent in agriculture, 9.06 to 5.74 in fishery, 13.56 to 15.81 in mining, 0.68 to 0.61 in the manufacturing sector and 2.71 to 4.54 in the construction sector. The average ratio in this connection increased from 4.69 percent to 5.60 percent. In the meantime, the secondary forestry output induced by primary and secondary industries rose from 12,779 million Wall in 1963 to 34,084 million won in 1966. C. The dependency of tertiary industries on forestry showed very minor ratios of 0.46 percent and 0.04 percent in 1963 and 1966 respectively. The forestry output induced by tertiary industry also decreased from 685 million won to 123 million won during the same period. D. Generally speaking, the ratio of dependency on forestry increased from 17.68 percent in 1963 to 24.28 percent in 1966 in primary industries, from 4.69 percent to 5.70 percent in secondary industries, while, as mentioned above, the ratio in the case of tertiary industry decreased from 0.46 to 0.04 percent during the period 1963-66. The mining industry reveals the heaviest rate of dependency on forestry with 29.80 percent in 1963 and 35.71 percent in 1966. As it result, the direct forestry income, valued at 8,172 million won in 1963, shot up to 22,724 million won in 1966. Its composition ratio lo the national income rose from 1.9 percent in 1963 to 2.3 per cent in 1966. If the induced outcome is taken into account, the total forestry production which was estimated at 37,744 million won in 1963 picked up to 105,773 million won in 1966, about 4.5 times its direct income. It is further noted that the ratio of the gross forestry product to the gross national product. rose significantly from 8.8 percent in 1963 to 10.7 percent in 1966. E. In computing the above mentioned ratio not taken into consideration were such intangible, indirect effects as the drought and flood prevention, check of soil run-off, watershed and land conservation, improvement of the people's recreational and emotional living, and maintenance and increase in the national health and sanitation. F. In conclusion, I would like to emphasize that the forestry sector exercices an important effect upon the national economy and that the effect of induced forestry output is greater than its direct income.

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