• 제목/요약/키워드: Industry Input-Output Table

검색결과 126건 처리시간 0.024초

산업연관표를 통한 우리나라 외식산업의 고용효과 고찰 (Consideration of the Employment Effect of Food Service in Korea through an Input-output Table)

  • 황성혁;최용훼;한규철
    • 한국프랜차이즈경영연구
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    • 제2권1호
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    • pp.46-60
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    • 2011
  • 경제 성장에 따른 산업화와 소득 수준의 증가, 그리고 여성의 경제활동 참여가 증가하면서 우리나라 외식산업이 급속하게 성장하였다. 고용친화적인 외식산업의 성장은 고용창출 효과에 기여할 것으로 기대하여 본 논문은 한국은행에서 발표한 산업연관표를 이용하여 외식산업이 고용부문에 어떤 영향을 미쳤는지 살펴보는 것을 목적으로 한다. 분석 결과에 의하면, 2005년 기준으로 외식업 분야의 10억 원의 생산증가를 위하여 직접적으로 필요한 피용자(임금근로자)는 11.3명이고 피용자뿐만 아니라 자영업자와 무급가족종사자 모두 포함하면 24.6명이 필요한 것으로 나타났다. 외식업의 생산 증가를 위해 필요한 노동자(임금근로자 및 자영업자와 무급가족종사자 포함)의 수가 해를 거듭할수록 지속적으로 감소하는데 이는 외식업의 노동생산성 증가로 여겨진다. 즉, 외식업의 사업체 규모 확장, 시설 자동화로 인한 것으로 여겨진다. 외식산업이 다른 산업의 고용창출에 미친 파급효과를 살펴보면, 2005년 기준으로 10억 원의 생산증가로 인해 유발되는 취업자 수는 40명인 것으로 나타났다. 이때 외식업 분야의 직접적인 취업유발인원은 24.9명, 그리고 15.2명은 타산업에 간접 유발된 취업자로 나타났다. 직접 취업유발인원에 대한 간접 취업유발인원의 비율이 계속 증가하고 있는데 이는 외식업의 수요 증가가 타산업 취업유발에 미치는 영향이 점차 커져가고 있음을 의미한다. 따라서 외식산업을 통해 고용창출 효과를 높이기 위한 정부의 장·단기적 정책 방안 마련이 필요하다.

공연산업의 경제적 파급효과 분석 (Estimation of Economic Value of the Performance Industry)

  • 배기형
    • 한국콘텐츠학회논문지
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    • 제13권1호
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    • pp.147-155
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    • 2013
  • 본 연구의 목적은 공연산업의 경제적 파급 효과를 분석하는데 있다. 연구분석을 위해 한국은행의 2009년 산업연관표를 이용하여 연극, 음악 및 기타 예술(390 부문)만을 공연산업으로 한정하고 새로이 공연 산업연관표를 작성하여 공연산업의 경제적 파급효과를 분석하였다. 연구 결과, 공연산업의 총생산유발액은 391.6조원, 소득유발액은 65.1조원, 생산세유발액은 총 16.3조원으로 나타났다. 특히 공연산업의 생산유발계수는 1,387, 감응도 계수 0.020, 영향력계수 0.025, 부가가치유발계수 0.662, 소득유발계수 0.455, 생산세유발계수 0.046 그리고 노동유발계수 0.010 등으로 나타났다.

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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탄소세 도입의 지역별 및 산업별 영향 분석: 에너지 연소 온실가스 배출량을 중심으로 (The Impacts of Carbon Taxes by Region and Industry in Korea: Focusing on Energy-burning Greenhouse Gas Emissions)

  • 박종욱
    • 자원ㆍ환경경제연구
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    • 제33권1호
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    • pp.87-112
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    • 2024
  • 이 연구는 2019년 지역산업연관표와 지역별 및 산업별 온실가스 배출량을 추정하여 우리나라 온실가스 배출현황 및 탄소중립을 위한 탄소세 부과의 경제적 효과를 지역별 및 산업별로 분석하였다. 분석결과 제조업 중심의 광역자치도에서 온실가스 배출량, 배출계수 및 배출유발계수가 높게 추정되었다. 동일한 산업일지라 하더라도 온실가스 배출계수가 지역에 따라 다른 것으로 나타났는데, 이는 대분류 기준에 따른 상품 분류, 생산기술의 특성, 생산요소 투입구조의 지역별 차이 등에 기인하는 것으로 추정된다. 한편 탄소세가 부과될 경우 온실가스 배출량이 많은 제조업을 중심으로 생산비용이 상승하고 수요 및 생산이 감소할 것으로 예측되었다. 이에 비해 탄소세 부과가 각 지역에 미치는 영향은 지역별로 차이가 상대적으로 크지 않을 것으로 예측되었는데, 이는 지역별로 산업비중이 달라 탄소세 부과가 지역에 미치는 직접적인 영향이 다를지라도 산업연관효과에 의해 그 차이가 완화되기 때문인 것으로 판단된다. 이처럼 탄소세 부과의 영향은 특정 지역에 집중되지 않고 전 지역에 파급될 것으로 예상되는 만큼 향후 탄소중립 이행과정에서 지자체 간의 긴밀한 협조가 필요할 것으로 생각된다.

한반도 북방지역의 식량산업 클러스터 및 가치사슬 네트워크 분석 (Analysis of Food Industry Cluster and Value-chain Network in the Northern Area of the Korean Peninsula)

  • 문승운;김의준
    • 농촌계획
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    • 제23권3호
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    • pp.147-161
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    • 2017
  • Climate changes from global warming and reduction in agricultural land result in volatility of prices of agricultural products, causing a imbalance of food market in Korea. It is necessary to develop a transnational food industry cooperation system among Korea, China and Russia that directly or indirectly affect food industry in terms of the whole industrial network. This study analyzes the value chain and linkage in the agriculture, forestry and fisheries industries in three nations. The unit structure and the industrial patterns of three nations were derived using the World Input-output Table (WIOT) from 2004 to 2014 every five years. This paper is expected to contribute to develop food security cooperation in the northern part of the Korean peninsula and to promote the mutual growth of food industry through industry linkage and cooperation.

기후변화 협약 대응을 위한 산업별 온실가스 배출 특성 분석 (An Analysis of Sectoral GHG Emission Intensity from Energy Use in Korea)

  • 정환삼;동야달;심상렬
    • 기술혁신학회지
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    • 제11권2호
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    • pp.264-286
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    • 2008
  • 2006년 우리나라의 에너지 사용은 총수입액(28%), 해외의존(97%), 온실가스배출(83%-year 2004)의 비중을 차지하고 있어, 경제나 환경 정책에서 매우 중요한 산업분야이다. 그러나 현실적으로 국내 에너지사용에 따른 온실가스 배출 추계는 산업별 사용량에 국제기구가 권고한 계수를 곱해 사용하는 수준에 머물고 있다. 이러한 수준으로는 post Kyoto Protocol을 통한 개도국의 참여를 강제하려는 새로운 패러다임에 대응할 논리와 정책을 바르게 수립할 수 없다. 본 연구는 한국은행이 발간한 2000년 산업연관표를 기반으로 이형단위 산업연관표를 작성하고, 이를 통해 경제 구성 부문별로 에너지 사용에 따른 온실가스 배출 특성을 분석하였다. 분석은 네가지 측면에서 이루어졌으며, 이는 섹터별 온실가스 배출 밀도 추정, 각 그룹에서 온실가스 배출을 야기한 연료원별 기여도 측정, 산업별 배출계수의 산정, 그리고 국가 총배출량 추정이다. 여기서 추정한 배출량은 온실가스 배출에 관한 국가 공식 통계치와 비교 검증하였다. 연구 접근법은 에너지의 직접사용 과정에서 배출되는 온실가스의 양 뿐만 아니라 배출을 유발하는 간접원인까지도 분석하고 있어, 최근 확산되고 있는 전과정분석(Life Cycle Analysis) 개념에 적합한 모형이다. 이 모형은 향후 온실가스 저감 정책 수립의 중요한 기반이 될 것으로 기대한다.

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기술연관분석을 활용한 기술융합구조 분석: 중소기업 융·복합기술개발사업 사례 (Analysis of Technology Convergence Structure Using technology Input-output Analysis: Case of Convergence R&D Development Project for Small and Medium Businesses)

  • 이광민;김다운;홍재범
    • 기술혁신연구
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    • 제22권3호
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    • pp.1-35
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    • 2014
  • 본 연구는 기술연관분석으로 단기 상용화를 위한 기술개발과제에 투입된 기술간 융합현황을 분석하였다. 기술연관분석은 산업구조분석의 체계를 기술기획 분야에 적용한 것이다. 본 사례는 기술연관분석을 활용하여 기술과 제품 간 연관도를 중심으로 분석하였으며 분석대상은 중소기업기술정보진흥원의 ' '12년 중소기업 융 복합기술개발사업'에 신청한 401개 과제이다. 분석과정은 다음과 같다. 401개 개별과제에 대해서 투입된 기술은 기술로, 개발과제에서 산출을 제품으로 정의하고 이를 투입과 산출의 행렬로 정리하였다. 투입으로 정의한 기술은 국가과학기술표준분류 상의 소분류를 분류하고, 산출로 정의한 제품은 한국표준산업분류 상의 세세분류로 정의하였다. 즉, 기술을 투입으로, 제품을 산출로 정의하여 기술의 파급도를 분석하였으며 이에 기초하여 기술연관도를 작성하였다 분석결과, IT융합에서는 임베디드 S/W의 기술파급도가 가장 높았으며, ET융합에서는 금형의 기술파급도가 가장 높았고 BT융합은 기능성 화장품 개발기술의 기술파급도가 가장 높았다. 전체적으로 IT융합에서 기술파급도가 높은 요소기술이 많았으며, ET융합에서 기술파급도가 높은 요소기술이 작았다. 따라서 기술파급도가 높은 요소기술에 대한 투자가 융합을 활성화하는 데 중요하며 전체적으로 IT분야가 요소기술의 투자 효과가 높을 것으로 판단한다.

리츠 유통산업의 경제적 파급효과에 관한 연구 (A Study on Economic Impact Analysis of REITs Distribution Industry)

  • 최차순
    • 유통과학연구
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    • 제13권12호
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    • pp.85-94
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    • 2015
  • Purpose - The purpose of this paper is to provide a political registration point for analyzing the economic impacts on the national economy from the REITs distribution industry in our country. The REITs distribution industry was introduced in 2001 to accelerate the corporate restructuring process and advance the real estate market. During its establishment, the REITs distribution industry faced difficulties; however, the industry grew rapidly through interest from institutional investors, thus mitigating the establishment problems by 2006. In Korea, more than 108 REITs were operating as of the end of June 2015. REITs contribute significantly to the national economy. The economic impacts on the national economy of the REITs distribution industry was analyzed using input-output (I-O) analysis with respect to production, imports, value-added, and employment. Research design, data, and methodology - The research used an I-O analysis of the activities of the REITs distribution industry in the national economy. The I-O analysis methodology analyzes the economic effects that influence other industries with respect to one unit of external investment. The data for this analysis were the I-O table of 2013 as published by the Bank of Korea in 2014. Results - The findings of this study are as follows. First, if an external input to the REITs distribution industry is 1 won, the overall impact of the product is 1.3869 won, the import induction is 0.0002 won, and the value-added induction is 0.7656 won. A new investment of 659.9 billion won into the REITs industry was estimated to produce a gross effect of 915.2 billion won. Second, if an external input to the REITs distribution industry is 1 billion won, the employment-inducing effects are estimated at 19.6394 individuals. The employment-inducing coefficient of 19.6394 for the REITs distribution industry indicates that the industry created significant employment-more than other industries-because the coefficient was 2.2 times the 2013 industry average employment-inducing coefficient of 8.8. Third, the investment effects of the REITs distribution industry on production induction, value-added induction, and employment induction are assumed to be large in business support services, financing, communications and broadcasting, and professional, scientific, and technical services. Conclusions - The REITs distribution industry was analyzed as having a strong employment inducing, high value added effect. The REITs distribution industry is an excellent alternative for the government authority to create multilateral jobs. Because the REITs distribution industry has a significant positive impact on the national economy, it should be developed. However, the I-O methodology has restrictions with respect to the fixation and timing of the input coefficient. Follow-up research is expected to supplement the analysis method at a specific point in time.

공공부문의 R&D 투자가 IT 산업에 미치는 파급효과 분석 (Analysis of Government R&D Contribution to the IT Industry)

  • 서환주;홍필기
    • 정보화정책
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    • 제17권1호
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    • pp.63-77
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    • 2010
  • 본 연구는 공공부문 R&D 투자의 IT 산업에 대한 기여도를 분석한 것으로, 이를 통해 핵심육성산업 등에 대한 정책적 함의를 도출하였다. 분석에 사용된 자료는 1990-1995-2000의 불변접속 산업연관표 및 2003년 경상 산업연관표를 이용하여 생산유발효과와 고용유발효과를 분석하였다. IT 산업 총산출액에서 차지하는 비중 증가가 높은 산업은 SW 및 컴퓨터 관련 서비스 산업으로 1990년 0.19%에서 2003년 1.22%로 6배 이상 증가하였다. 정부의 R&D 투자의 생산유발액은 R&D 투자 규모의 2배 이상으로 정부의 R&D 투자 규모는 1995년 대비 2003년 3배 증가하였다. 동 기간 IT 산업은 5배 가까운 높은 증가세를 보였다. 또한, 정부의 R&D 투자는 높은 취업유발을 가져오고 있는데, 방송통신기기와 SW 및 컴퓨터 관련 서비스 산업에서 높은 취업유발효과를 나타내었다. IT 제조업의 취업자 구성비는 거의 동일하나 산출액 비중이 크게 증가하였다. IT 산업의 발전을 위해서는 중간투입산업의 발전 정책이 요구되며, 특정 기업 지원보다 특정 기술 인력 양성에 초점을 맞추는 정책 강화가 필요하다. 또한, 부품 및 제품의 표준화와 네트워크 관계 개선 대책이 효과적이다.

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사업 포트폴리오의 기술시너지 효과 : 50대 재벌의 패널자료분석

  • 김태유;박경민
    • 기술혁신연구
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    • 제5권1호
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    • pp.15-43
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    • 1997
  • This paper investigates empirically the relationship between various business portfolio properties (particularly technological properties) and chaebol's performance using data on the 50largest chaebols in Korea. In addition to the traditional indexes to measure diversification such as entropy index, we calculated inter-industry technological similarity using R'||'&'||'D expenditure data by industry and 1990 Input-output Table in korea, and obtained chaebol-level technological relatedness and internal transaction proportion from chaebols' business profile, inter-inustry technological similarity and 1990 input-output table. We applied factor analysis on 13 business portfolio property indexes and showed that they could be grouped into 3 dimensions. diversification scope, inter-business relatedness and degree of vertical integration. In this paper, using 50 largest chaebols' financial data (1989-1994), we analyzed empirically the effect of business portfolio properties on ROS(Return On Sales) which is conventional index for firm performance and on TFP(Total Factor Productivity) growth which is a pure measure of firm performance. To utilize the advantage of panel data, FEM(Fixed Effect Model) and REM(Random Effect Model) were used. The empirical result shows that the entropy index as a measurement of inter-business relatedness in not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtained three findings. First, only VI(Vertical integration) has a significant positive correlation with ROS. Second, when using TFP growth as an dependent variable, both TR(Technological Relatedness) and VI are significant and positively related to the dependent variable. Third, the interaction term between TR and VI is significant and negatively affects TFP growth, meaning that TR and VI are substitutes. These results suggest strategic directions on restructuring business portfolio. As VI is increased, chaebols will get more profit. A higher level of either TR or VI will increase TFP growth rate, but increase in both TR and VI will have a negative effect on TFP growth. To summarize, certain business portfolio properties such as VI and TR can be considered "resources" themselves since they can affect profit rate and productivity growth. VI and TR have a synergy effect of change in profit rate and productivity growth. VI increases ROS and productivity growth, while TR increases productivity growth representing a technological synergy effect.t.

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