• Title/Summary/Keyword: Production inducement coefficient

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Analyzing Spillovers of Domestic Varieties Developed by Rural Development Agencies (농촌진흥기관 개발 품종의 경제적 파급효과 분석)

  • Kim, Seong-Sup;Lee, Dong-Su;Yun, Jin-Woo;Chae, Yong-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.155-166
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    • 2021
  • This study examined the spillovers (economics) of domestic varieties. The analysis model used the supply-driven of inter-industry analysis (input-output analysis), and the scope of the study was limited to the varieties developed by rural development agencies. The spillovers were analyzed by dividing into the effects on production inducement and employment inducement. First, the effects on production inducement were the largest in Sindongjin, a rice variety, with 49,599.3 billion won. Seolhyang, a strawberry variety, was the second largest with 32,936.9 billion won. On the other hand, Baekma, a flower variety, was small at 87.7 billion won. On the other hand, this is a very large number considering the small area of cultivation of flowers and how most of the flower varieties depend on overseas varieties. Second, the effect on the employment inducement coefficient appeared in a similar order to the effect on production inducement. Sindongjin was the largest with 756,682, and Seolhyang was 701,403. Baekma was analyzed as 1,582 people. The results are of great significance in that it quantitatively analyzed the spillovers of the varieties developed by rural development agencies and ensured a justification for the development of varieties by national institutions through their value.

Industry Linkage Analysis and Link Structure Network Analysis of Water Transportation Industry (수상 운송업의 산업연관분석 및 연계구조 네트워크 분석)

  • Park, Sung-Min;Park, Chan-Kwon
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.85-107
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    • 2022
  • This study is to analyze the induced effect, network connectivity, and network visualization of the water transportation industry on the overall economy in relation to all industries. For this, various inducement coefficients of the water transportation industry are analyzed using industry linkage analysis and unit structure matrix, and network visualization analysis is performed using network connectivity and NetDraw using Ucinet 6 that utilizes unit structure matrix and inverse matrix function. As a result of the study, analysis results of input coefficient, production inducement coefficient, value-added inducement coefficient, and inter-industry chain effect were presented as various inducement coefficients in the water transportation industry. content was presented. Through this study, the current position and status of the water transportation industry and its relationship with all industries were confirmed, and the strategic relationship with which industries it should be presented was presented. In the future, it is necessary to further analyze the current status and trends of various induced effects, connectivity (centrality), and network visualization analysis using industry-related analysis published since the 2000s.

An Analysis of the Economic Impact of the Advertising and the Film Industry (광고산업과 영화산업의 산업연관효과 분석)

  • Kwon, Shin-Hye;Chang, Byeng-Hee;Park, Kyung-Woo
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.7
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    • pp.671-678
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    • 2017
  • In this paper, we conducted an industry input-output analysis to examine the impact of the advertising industry on the movie industry. As a result, the production inducement effect increased from 1993 to 2008, and it decreased from 2009 to 2012. In 2014, the production inducement effect increased to 0.028 won. Value added effect is found that it fluctuated yearly. As a result of the sensitivity coefficient of the advertising industry, it decreased increasingly. In the case of the influence coefficient for backward linkage effect, it showed a decreasing tendency after 1998, but it increased from the beginning of 2009. This study examines the influence of the advertising industry on the input of the output by analyzing the impact of the advertising industry on the movie industry. As a follow-up study, it is necessary to compare the impact of the advertising industry on the movie industry and other industries such as publishing and broadcasting.

International competitiveness of Korea's knowledge service industry (한국의 지식서비스산업의 국제경쟁력)

  • Kim, Pang-ryong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.121-122
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    • 2017
  • In this study, the economic ripple effect of knowledge service industry were compared and analyzed in four countries of USA, UK, Japan and Korea. The production induction coefficient is the largest in Japan, followed by the United Kingdom, the United States, and Korea. On the other hand, the employment inducement coefficient of the knowledge service industry was the highest in all countries except the UK. This implies that the proportion of employment is significantly increased compared to other industries as the role and importance of knowledge service industry increases in the economic and social structure on which knowledge is based.

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An Analysis of the Economic Effects of Marine Transport and Port Industry (해운.항만산업의 경제적 파급효과 분석)

  • Jeong, Boon-Do;Shim, Jae-Hee
    • Journal of Korea Port Economic Association
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    • v.27 no.3
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    • pp.311-329
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    • 2011
  • This study examined economic ripple effect of marine transport and port industry using Input-Output Tables. The results of the study are summarized as follows: first, in 2005 production inducement coefficients of harbour facilities was the highest(1.958), followed by coast and inland water transportation(1.857), load and unload(1.842), other transportation services(1.768), storage and warehouse(1.676), water transportation assistant services(1.422), and outport transportation (1.283). Second, value added inducement coefficient of water transportation assistant services was the highest(0.924), followed by load and unload, storage and warehouse(0.902), other transportation services(0.885), harbor facilities(0.832), coast and inland water transportation (0.752), and outport transportation(0.258). Third, import inducement coefficient of outport transportation was the highest(0.742), followed by coast and inland water transportation, harbor facilities, other transportation services, load and unload, storage and warehouse, and water transportation assistance services. Fourth, indexes of the sensitivity of dispersion of other transportation services and load and unload were 1.125 and 0.882 respectively while those of harbor facilities and outport transportation were 0.514. Indexes of power of dispersion of harbor facilities, coast and inland water transportation, load and unload, and other transportation services were the highest, respectively 1.006, 0.954, 0.946, and 0.908 while that of outport transportation was low, 0.659.

Economic ripple effect and growth contribution of information security industry (정보보호 산업의 경제적 파급효과 및 기여도 분석)

  • Kim, Pang-ryong;Hong, Jae-pyo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.5
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    • pp.1031-1039
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    • 2015
  • This study examines the economic ripple effect on the domestic information security manufacturing and service sectors through input-output analysis. The production inducement coefficient of the manufacturing sector is bigger than the average of whole industry, but that of the service sector is smaller than the average. On the other hand, the service sector is superior to the manufacturing sector in the value added and employment inducement coefficients. Forward and backward linkage effects of manufacturing and service sectors are generally lower than those of the average of whole industry. The information security industry has insignificant contribution to national economy and employment growth overall. In particular, the manufacturing sector records minus contribution to employment growth, which means that a lot of effort for increasing employment must be given further on in the sector.

The Analysis of Economic Contribution of Character Industry in China (산업연관분석에 의한 중국 캐릭터 산업의 경제적 효과 분석)

  • Zhang, Xin-Dan;Yao, Jin-Ge;Lee, Hyuck-Jin
    • The Journal of the Korea Contents Association
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    • v.21 no.9
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    • pp.125-135
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    • 2021
  • Due to the lack of national consensus on the importance and value of the character industry and the lack of recognition of value as a national strategic industry, the development of the character industry is experiencing great difficulties. The purpose of this study is to analyze the economic effects of character industry in China to help establish policies and strategies for the character industry in the future. To this end, this study utilized the China 2017 Industrial Association Table. The analysis results are as follows. China's character industry has a lower production inducement effect than other industries with a column total of 3.45514, and a row total of 1.30015. This shows that China's character industry is still being produced by small and medium-sized companies with a low equity ratio. Second, in the character industry, the index of the sensitivity of dispersion representing the forward linkage effect is 0.01426 and the impact factor is 0.03790, which are all less than 1. Therefore, it can be said to be the final demand manufacturing type.Third, in China character industry's income induction is 0.47690 and the production tax induction effect is -0.04912. It can be seen that the character industry has less income induction and tax burden generated every time the final demand increases by one unit in the entire industry than in other industries.Despite the quantitative growth of the character industry in China, the impact on other industries is low and it is not playing a role as an income-generating industry. Structural improvement is needed for the qualitative development of China's character industry.

A Study on the Ripple Effect of Physical Distribution Service Industry on National Economy (물류서비스 산업의 국민경제적 파급효과 분석)

  • Jeong, Boon-Do;Hong, Geum-Woo
    • Journal of Korea Port Economic Association
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    • v.24 no.2
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    • pp.193-208
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    • 2008
  • This study aims to analyse the ripple effect of Physical distribution service industry on national economy using input-output tables and present the results as data for political plans in this field. For the analysis, it uses input-output tables developed and published by Sank of Korea in 1998, 2000, and 2003. To sum up the results, production inducement effects are 1757 for railroad transport, 1688 for road transport and 1617 for loading. Import inducement effects of assistant services, loading, storage, warehouse and other transport-related services are low while the effects of water and air transport are high as follows: 0.679 and 0.558 respectively. Then, added-value inducement effects are presented as follows: 0.841 for railway transport, 0.828 for road transport, 0.962 for transport assistant service, 0.939 for loading, 0.938 for storage and warehouse, and 0.942 for other transport-related services. Sensitivity dispersion index of road transport is high while that of water transport, storage and warehouse is low. And influence coefficient of railway and road transport is high while that of water and air transport is low. In respect to the employment structure of Physical distribution service industry, 744,000 are employed for road transport industry, which is the largest number, 19,000 for air transport and 20,000 for assistant services, which is the least number.

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A Study on Induced effect of Aggregate and Stone Sector with Input-Output Table (산업연관표를 이용한 골재 및 석재부문의 경제적 파급효과 분석연구)

  • Kim, Ji Whan
    • Economic and Environmental Geology
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    • v.54 no.5
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    • pp.573-580
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    • 2021
  • This study analyzed the induced effects of the aggregate and stone sectors using the industry association table. First, the added value of the aggregate and stone sectors was summarized, and then the intermediate input structure and induced effect were analyzed. In terms of value-added structure, aggregate and stone showed a higher employee remuneration rate compared to the manufacturing industry, and a higher rate of operating surplus compared to other mining industries. The intermediate input structure summarizes the sector using aggregate and stone products as intermediate inputs and their input ratio. The proportion of the intermediate element input structure was confirmed. In addition, the main input sectors of ready-mixed concrete, the largest consumer of aggregate and stone, are also summarized. The production-inducing effect of aggregate and stone showed a higher influence coefficient than the sensitivity coefficient, confirming that they had a relatively large rear chain effect. The production inducement effect was reviewed by reconstructing the industry association table, and it was found to show a relative superiority in the influence coefficient, similar to the results derived according to the provisional classification of the Bank of Korea.

Analysis of Forestry Structure and Induced Output Based on Input - output Table - Influences of Forestry Production on Korean Economy - (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)-)

  • Lee, Sung-Yoon
    • Journal of the Korean Wood Science and Technology
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    • v.2 no.4
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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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