• Title/Summary/Keyword: Production inducement effect

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A Study on the Characteristics of the U-City Industry Using the I-O Tables (산업연관분석을 이용한 U-City 산업의 특성 고찰)

  • Lim, Si-Yeong;Lim, Yong Min;Hwang, Byung Ju;Lee, Jae Yong
    • Spatial Information Research
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    • v.21 no.1
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    • pp.37-44
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    • 2013
  • This study sets the boundary of U-City industry based on expert surveys. Based on this U-City industry boundary, an appropriate inter-industry analysis is performed. The result shows production inducement coefficients, value added inducement coefficients, employment & enter employment inducement coefficients, influence coefficients and induction coefficients. Based on these coefficients, overall characteristics and spillover effects of U-City industry are examined. The result of this study shows that U-City industry has bigger value added-induced effects and employee-induced effects than other industry. The result also shows that U-City industry also has a great forward linkage effect. This study has a meaning that could be used to make political decisions as a basic data.

Regional Economic Effect of the Management Social Welfare Foundation - focused on Daegu Metropolitan City (사회복지법인 운영이 지역 경제에 미치는 파급효과 -대구광역시를 중심으로-)

  • Chae, Hyun-Tak;Im, Woo-Hyun;Kim, Young-Kil
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.7
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    • pp.375-383
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    • 2018
  • This study was carried out to grasp the economic effects of the social welfare foundation by establishing and operating it. For this purpose, the effects of the social welfare law of Daegu Metropolitan City on the regional economy were analyzed using the input-output analysis model. As a result, the effects of GDP was 43,445 billion won, the total value-added effect was 1,940 billion won, and the total employment inducement effect was 37,411. Based on these results, the future direction of the social welfare corporation is suggested as follows. First, it is necessary to shift the perception of consumer-oriented welfare toward welfare that contributes to the activation of the local economy. Second, efforts should be made to continuously expand employment linked to social welfare services, to create an environment where jobs can be created from a long-term perspective, and to establish a separate support system. Third, the value-added created by the social welfare foundation should be newly recognized and sought to be expanded in various fields. Fourth, efforts should be made to secure the legitimacy of social service provision and ensure accountability by appropriately promoting the economic ripple effects of social welfare foundation to the local community.

An Economic Ripple Effect Analysis of Domestic Supercomputing Modeling and Simulation (슈퍼컴퓨팅 모델링 및 시뮬레이션의 산업연관분석 기반 경제적 파급효과 분석)

  • Kim, Myungil;Park, Sung-Uk;Kim, Jaesung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.11
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    • pp.340-347
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    • 2016
  • Since the 1970s, manufacturing has been one of the key driving forces that has led to Korea's economic growth. However, this growth rate has been reduced significantly since the 2000s, and shows that revenues and employment are steadily decreasing. In addition, while manufacturing investment in Korea has dropped sharply, the United States, Germany, Japan, and other major countries have increased investment in manufacturing. These countries have promoted manufacturing innovation strategies that include the convergence of information and communications technologies (ICT) and manufacturing. For manufacturing innovation, it is important for time and cost savings required for product development to be achieved by changes in the production process, especially product design. Modeling and simulation (M&S) is a process that replaces physical product design, mockup making, and testing, with virtual product creation (modeling) and engineering analysis (simulation). In this paper, we analyze the economic ripple effect of supercomputing M&S using an input-output model technique based on the input-output tables published by the Bank of Korea. When we set the M&S budget (about US$16 million for the last 10 years) of the Korea Institute of Science and Technology Information (KISTI) as input coefficients, the effect on production inducement, value-added inducement, and employment inducement was analyzed to be US$24 million, US$13.4 million, and 267, respectively.

Korea and Japan Comparison Study of Distribution Industry: Focus on Input-out Analysis (유통산업의 한일비교 연구 - 산업연관분석을 중심으로 -)

  • Jho, Kwang-Hyun
    • Journal of Distribution Research
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    • v.16 no.5
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    • pp.171-192
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    • 2011
  • This paper focuses on the retail industry of industrial share of the GDP, productivity of distribution industry and input-out analysis between Korea and Japan, also results are summarized as follows. First, the share of GDP in agriculture, forestry and fisheries of the both countries is falling. That of manufacture increases in South Korea, while Japan is falling. While distribution industry shows vice versa. Employed population by industry is falling both countries also. The relative labor productivity shows that agriculture, forestry and fisheries, retail industry needs more labor, while manufacture has been met for both countries. Second, compare to Japan, the retail industry of Korea has been increased since 1990. Likewise, overall productivity of distribution industry in Korea has been increased while almost that of Japan has declined. Third, production inducement effects of Japan are greater than that of Korea. On the other hand, import inducement effects show vice versa. Fourth, as shown from the final demand of distribution industry and the rate of dependence on production inducement, we can see that the “increase in stocks” increases while gross government fixed capital formation shows vice versa. Korea's private consumption expenditure increases while Japan shows versa. South Korea's government consumption expenditure and exports are rising, on the other hand, that of Japan is declining. Fifth, the rate of dependence on distribution industry and import inducement shows the same tendency from both countries. As we can see from the private consumption expenditure, government consumption expenditure, gross government fixed capital formation, gross private fixed capital formation, increase in stocks, the rate of dependence on import inducement is more effective than the rate of dependence on production inducement. While the exports are comparatively ineffective. Sixth, the degrees of influence of retail industry are similar between Korea and Japan, while sensitivity of the Korean industry has been weakened. In this sense, strong policies are needed to boost the industry. Seventh, the investments in the retail industry of Korea showed the public-led trend, while Japan showed private sector-led investment trend. The investment trend of Korea's retail industry will be switched into private sector-led investment step by step in the future. This finding will be an important clue to set the policy direction of Korea distribution industry. Finally, both Korea and Japan are still in need of employment in retail industry. Not addressed in this paper, such as value-added-induced effects, employment inducement effect, will be remaining challenges in the following paper.

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South Korean Demand for Tourism in North Korea and the Impact of their Expenses on the North Korean Regional Economy (한국인의 북한 관광의사와 북한 지역경제 효과)

  • Kim, Misuk;Seong, Taeyoung;Choi, Eunhee;Choi, Daesik
    • Land and Housing Review
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    • v.13 no.3
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    • pp.1-20
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    • 2022
  • This study analyses how much Korean visits to North Korea have an impact on the North Korean regional economy. It estimates the demand for North Korean tourism via the borders of North Korea, China, and Russia and South Korean expenses to be spent in North Korea. When asked if they are willing to visit North Korea within the next five years in case the pre-conditions of the visit to North Korea are satisfied, approximately 64.1% of the survey respondents indicated 'yes'. To estimate the demand, this research employed the analysis of purchase intention, popular in marketing, based on their willingness to visit. The annual demand for tourism was 4,136,361 persons. The average estimated expense per person is KRW 1,532,000 and the total annual expense is KRW 6,336.9 billion. Assuming that airfare is excluded from the total expense and the expense is made evenly in each tourist destination, the estimated amount to be spent in North Korea is KRW 2,838.7 billion per annum. The backward linkage effect of this expense on the North Korean regional economy is KRW 7,972.1 billion in total production inducement, KRW 2,619.4 billion in value-added inducement, and approximately 2,890,443 persons in employment inducement. The value-added inducement effect is estimated to be approximately 7.6% of the North Korean nominal GDP in 2020. South Korean tourism is expected to have a significant impact on the North Korean economy. As the demand for North Korean tourism is likely to increase steadily due to the expected increase in overseas travel demand by Koreans, inter-Korean cooperation is needed for the development of North Korean tourism infrastructure if conditions improve.

An Analysis of Economic Effects of Korean Fisheries using Input, Output Analysis (산업연관분석을 이용한 수산업의 경제적 파급효과 추이 분석)

  • Park, Kyoung-Il;Park, Joon-Soon;Seo, Ju-Nam
    • The Journal of Fisheries Business Administration
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    • v.43 no.3
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    • pp.75-87
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    • 2012
  • Today, the Korean fisheries is undergoing significant hardships, both domestically and internationally. While declining amount of catch, ascending international oil prices and others pose a compelling challenge to the fishing sector, the ever strengthening influence of international institutions related to fisheries and international trade organizations also compel to bring about myriad of changes in the realm of fishery products. Against the backdrop, this study attempted to examine the fisheries catch, aquaculture, service, processing fields in terms of its rippling effect and of how the industry has been changed by analyzing the past and present through an input-output analysis. As for research methods, 168 items of the input-output tables in 2000, 2005, 2009, and 2010 were integrated to form and classify 32 sectors (28 basic sectors + catch, aquaculture, fishery service, processed fishery products) so as to generate production inducement coefficient, sensitivity coefficient, and impact coefficient. The analysis results revealed that : though the linkage effect of fishery industry was not very sizable, the impact coefficient of the processed fishery products was high; the consumption and investment coefficient sector among production inducement coefficient was on an upturn trend ; the export coefficient was tended to decline. In the future research, it is necessary to carry out a study based on the integration of detailed classification (404 sector) and a study and analysis of fishery industry by different regions through the inter-regional input-output tables. The fishery industry is one of the crucial industries in Korea. The fishery industry is not only important in its own right but also significant as it exerts influence over other industries. Therefore, it is required that there should be more investment and supports for the development of the fishery industry, and pay efforts to ensure that the investment and development could lead to mutual growth for both the fishery and other various industries.

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

  • Bae, Ki-Hyung
    • The Journal of the Korea Contents Association
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    • v.12 no.9
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    • pp.172-181
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    • 2012
  • The film industry is a high value-added industry, boosts the self-esteem of the people as a measure of a country's culture industry, and is one of the strategic industries to be fostered. However, the film industry is struggling due to the lack of national consensus on the importance and value of the film industry. Therefore, in order to resolve this issue, the study used the film Input-Output Table of year 2009 of korea to analyze how much the film industry contributes to the national economy. The results shows that film industry induce 82,838.7 billion won of national production, especially the film industry(the sector of film product & distribution and film screenings) shows that production inducement coefficient is 2.324(2.240, 2.478), Index of the power of dispersion is 1.163(1.121, 1.240), index of the sensitivity of dispersion is 0.825(0.825, 0.501), value-added coefficient is 0.884(0.479, 0.547), income inducement coefficient is 0.454(0.211, 0.236), tax inducement coefficient is 0.110(0.090, 0.146) and employment inducement coefficient is 0.017(0.014, 0.022).

Economic Evaluation of the IT SoC Industry Infrastructure Program

  • Oh, Wan-Keun;Min, Wan-Kee
    • 한국벤처창업학회:학술대회논문집
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    • 2007.04a
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    • pp.79-99
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    • 2007
  • This paper evaluates the economic effect of the IT SoC Industrial Foundation Composition Project. The evaluation was done in three steps. The first step was to estimate the contribution effect of the fabless small and medium venture business' sales. The step includes interview with all the CEOs of the firms under the support of the Enterprise Incubation System, The second step was to apply input-output analysis and then estimate the production inducement effect. The last step was to compare the results of estimation with the costs of the project. We have concluded this project had achieved 6.3 times greater economic effect compared to the budget. The reason for the large economic effect is that the project provided various infrastructures to the small and medium venture businesses.

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A Study on the Development Status and Economic Impacts of Drone Taxis (드론택시의 개발현황 및 경제적 파급효과 분석)

  • Choi, Ja-Seong;Hwang, Ho-Won
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.28 no.4
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    • pp.132-140
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    • 2020
  • The development status was studied to predict the concept of how drone taxis would be presented in daily life. the results of the analysis on traffic effects of drone taxis showed that they would be an innovative transportation option that could reach a distance of 60km, which would typically take an hour by car, within twenty minutes. Moreover, the economic analysis of existing aircraft development was limited to production (development investment) of the input budget. However, since the drone taxi is a new transportation system, an overall traffic platform, such as its own terminals, would need to be established. So, the production inducement effect was analyzed by dividing input budget into three factors; production, infrastructure, and service. The results indicate this to be an innovative project expected to have an economic ripple effect and reach a total of 24 trillion won after an investment of 13 trillion won (production + infrastructure + service) in Korea from 2020 to 2040.

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.