• Title/Summary/Keyword: Production inducement coefficient

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An Interindustry Analysis Considering Complexity of Space Exploration Project (우주개발사업의 복합성을 고려한 산업연관분석)

  • Lee, Eui-Kyung;Hur, Hee-Young
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.42 no.9
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    • pp.739-744
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    • 2014
  • Space exploration project usually consists of so many fields of sub projects that it has a diverse ripple effect throughout the economy. Further studies could not consider the complexity of the space exploration project because they regarded it as one project in spite of the diversity. This study found a way to consider complexity of space exploration project using the concept of WAC(weighted average coefficient). The moon exploration project (2014~2020) is the subject of this study. We classified the moon exploration project into 8 industries and calculated the WAC of production inducement coefficient, value added inducement coefficient, and employment inducement coefficient. The result of analysis using these WACs is that production inducement effect amounts to 1,229.6 billion won, value added inducement effect 324.6 billion won, employment inducement effect 4,844 men. And the linkage effect analysis shows that moon exploration project has more backward linkage effect than forward linkage effect.

Economic Analysis of the Donghae-Bukppuseon Railway (동해북부선 철도의 경제적 효과)

  • Kim, Sun-Ju
    • Land and Housing Review
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    • v.11 no.4
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    • pp.15-26
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    • 2020
  • This study analyzes the Domestic Economic Ripple Effect (DERE) of the Donghae-Bukpuseon Railway (DBR). Input-Output Analysis and Scenario Analysis are employed. First, the future demand is approximately 6.86 billion people, 1.4 billion tons of logistics, and future forecast production is 1.2 trillion won for passengers, and 0.15 trillion won for logistics. Second, the production inducement (PI) coefficient of the railway industry is 2.080, the value-added inducement (VAI) coefficient is 0.680, the import inducement (II) coefficient is 0.32 and the employment inducement (EI) coefficient is 6.45. Third, for the DERE, PI is 2.846 trillion won, VAI is 0.939 trillion won, II is 0.446 trillion won, and EI is 8,737 people/1 billion won. Fourth, PI is approximately 2.8 trillion won, and the payback period is 35 years. Scenario 1 (a 50% increase in the demand for tourism) takes approximately 27 years, Scenario 2 (an 100% increase), 20 years, and Scenario3 (an 150% increase), 16 years. The successful way of the DBR is to enlarge the linkage effect of trans-railways for which international cooperation and agreements are needed. Also, even if the DBR is isolated due to worsening inter-Korea relations, the development of tourism resources is important for public investment feasibility.

Economic Ripple Effect of the TKR on the Logistics Industry

  • KIM, Sun-Ju
    • Journal of Distribution Science
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    • v.19 no.3
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    • pp.25-34
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    • 2021
  • Purpose: The purpose of this study is to analyze the economic ripple effect(ERE) of logistics industry by construction of Trans-Korea Railway (TKR) and present policy measures to minimize the economic loss of South Korea (SK). Research design, data and methodology: As the analysis method, exponential smoothing was used for demand forecasting, Input-Output analysis was used to estimate the economic ripple effect coefficient, and scenario analysis was used to an efficient way to invest in TKR to minimize SK's economic losses. Results: 1) the production(logistics fares) of TKR for 10 years after its completion is about 11.42 trillion won in positive relations, and 26.89 billion won in negative relations. 2) the ERE of SK in positive relations is 24.32 trillion won in production inducement effect, 8.1 trillion won in value-added inducement effect, 3.54 trillion won in import inducement effect, and 70,930 persons in employment inducement effect. But the ERE was insufficient in the negative relations. 3) SK's efficient investment method is providing materials and equipment by SK and building the TKR by North Korea in positive inter-Korea relations. Conclusions: For the successful operation of TKR, international cooperation, legalization and stable peace settlement on the Korean Peninsula are required.

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

  • Kim, Chul-Hwan;Moon, Ji-Min;Kim, Eui-Gyeong;Ahn, Byeong-Il
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.42 no.4
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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.

Economic Effects of the Port Industries (항만산업의 경제적 파급효과)

  • Kim, An-Ho;Gi, Seong-Rae
    • Journal of Korea Port Economic Association
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    • v.21 no.4
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    • pp.141-160
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    • 2005
  • This paper estimate and analyze the economic effect of the port industries as well its production inducement coefficient, effect ratio and response ratio using above-mention input-output analysis. The results of analysis is that the production inducement effects and the forward and backward linkage effects of port industries sectors are evaluated low evaluations. This results is not the port industry doesn't have low effects and low contributions to Korea economy, port industries are more used in the field of export and import sectors than domestic demand and supply sectors. Accordingly, the import inducement coefficients of shipping industry is most high among the 404 detailed sectors.

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A Study on Strategy Direction for Promoting the Geo-spatial Information Industry by Input-Output Analysis (산업연관분석을 통한 공간정보산업의 특징 및 정책방향성에 대한 연구)

  • Lim, Si Yeong;Ahn, Jong Wook;Yi, Mi Sook
    • Spatial Information Research
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    • v.20 no.6
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    • pp.69-76
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    • 2012
  • In this study, we derived the characteristics of the geo-spatial information industry by using input-output analysis. For this analysis, we classified the geo-spatial information industry and reorganized the input-output table. And we derived the production inducement coefficient, index of the power of dispersion and index of the sensitivity of dispersion in the geo-spatial information industry. We confirmed that geo-spatial information industry has a small production inducement coefficient and a great forward linkage effect. Based on these facts, we suggested the strategy direction as follows: 1) building the industrial eco-system, 2) managing both advance and applicability enhancement, 3) Establishing from a long-term point of view.

Analysis of the Economic Ripple Effect of New Financial Input in the National Assembly FM Radio (국회 FM 라디오의 신규 재정 투입에 따른 경제적 파급 효과 분석)

  • Park, Sungmin
    • Journal of Broadcast Engineering
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    • v.26 no.5
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    • pp.575-582
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    • 2021
  • This study would analyze the economic impact of the new financial input to the National Assembly FM Radio. Recently, with the 4th industrial revolution and the change in the new media paradigm, there are changes into multi-media and multi-channels, such as mobile, Internet, and OTT, etc. Reflecting these changing internal and external conditions, National Assembly Television, too, should introduce FM radio broadcasting so that the viewers can use the public services without spatial and temporal constraints. Thus, this study would conduct an analysis, estimating the budget required for investing the new government funding in the National Assembly FM Radio. As for the main analysis results, the coefficient of production inducement was 1.661; that of added value, 1.141; and that of employment inducement, 7.1. In the capital district, the effect on production inducement was 6.928 billion won; that on added value inducement, 4.758 billion won; and that on employment inducement, 28.4 persons. In addition, in the whole country, the effect on production inducement was 13.257 billion won; that on added value inducement, 9.106 billion won; and that on employment inducement, 49.7 persons.

Economic Impact Effect Analysis of Flounder Aquaculture Industry in Jeju (제주넙치 양식산업의 경제파급 효과분석)

  • Kim, Jin-Ock;Kang, Seok-Kyu
    • The Journal of Fisheries Business Administration
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    • v.42 no.1
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    • pp.85-96
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    • 2011
  • We have done the input-output analysis to see the over all impact of flounder industry of Jeju region on the domestic economy of Korea. To do the input-output analysis, we have constructed the data set for the input-output table by using the existing data set in the "2003 input- output table of Jeju regional area" published by the joint work of Jeju branch of Korea bank and the Jeju Development Institute, together with some raw data provided by Jejudo Marine Fish-Culture Cooperative. We have also produced input coefficient of flounder industry by making flounder industrial sector exogenous, separated from intermediate demand. To summarize our empirical results, the inducement effect of production, value added, and employment of Jeju flounder aquaculture industry are 300 billion won, 116 billion won and 1,800 people respectively. In conclusion, the results of this study suggest flounder industry of Jeju region contributes powerfully to not only Jeju economy but also all over the Korea economy.

Estimating the Economic Impact of Smoke-free Policy in Restaurants using an Input-Output Analysis (산업연관분석을 이용한 음식점 금연 정책의 경제적 효과 분석)

  • Seo, Sukyong;Yeon, Seunguk;Yoo, Ki-Bong;Cho, Hong-Jun;Lee, Ju hyun;Noh, Jin-Won
    • Culinary science and hospitality research
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    • v.23 no.5
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    • pp.169-177
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    • 2017
  • Smoking bans at restaurants and bars have recently been introduced in Korea. Researchers and stakeholder are interested in the resulting changes in sales of restaurants and bars and their impact on overall national economy including employment. We examined the input-output tables (2013) issued by The Bank of Korea. The result showed that the production inducement coefficient was about 2.16; employment inducement coefficient was 13.1 for the restaurant and bar industry. The amount of inducement in the national production was calculated by 93,100 billion KRW. Employment inducement was calculated by 1,219,610 persons overall industries for a year. Assuming there comes a change (3%, 5%, 10%) in restaurant and bar production in consequence of the smoking bans, we computed following change in the national production and employment. The resulting changed in national production was 6,033 billion, 10,055 billion, and 20,110 billion KRW, respectively. The impact of employment overall industries was calculated 79,032, 131,720 and 263,441 persons, respectively.

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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    • v.10 no.spc
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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.