• Journal of Korea Technology Innovation Society
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• v.7 no.2
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• pp.283-304
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• 2004

Evaluating the sources of economic output is obviously important, and numerous attempts have been made to judge the impact of many different factors on economic output. It is widely accepted that high-technology(HT) is one of the important factors in economic output. This paper empirically explores the impacts of HT exports on economic output using a cross-county analysis based on data from 89 countries for the year 1988-2000. To this end, several versions of the neoclassical growth models, explicitly including HT exports, are estimated. Subject to the appropriate caveats, the results provide further support for several key conclusions of the former studies - investment in physical capital, population growth, and the human capital are important in accounting fer economic output across countries. More importantly, it is concluded that HT exports significantly contribute to economic output. Interestingly, the conclusion is valid f3r developing countries, but not far developed countries.

• Management & Information Systems Review
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• v.20
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• pp.137-156
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• 2007

This study had an objective to obtain a result of the economic impacts of lodging industry on the Koran economy. Using the input-output model(I-O model), lodging industry sectoral multipliers were derived from the effects of output, income, employment, value added. indirect tax, and import. According to results of this study, estimated economic impacts of the convention industry were $2,950 million in output, $712 million in income, 92,257persons in employment, $1,590 million in value added, $12 million in indirect tax, and $226 million in import sectors.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.381-401
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• 2014

This study proposes the accurate economic effect (employment inducement coefficient, hiring inducement coefficient, index of the sensitivity of dispersion, index of the power of dispersion, and ratio of value added) of Korea software industry by analyzing the inter-industry relation using the modified inter-industry table. Some previous studies related to the inter-industry analysis were reviewed and the key problems were identified. First, in the current inter-industry table publishedby the Bank of Korea, the output of software industry includes not only the output of pure software industry (package software and IT services) but also the output of non-software industry due to the misclassification of the industry. This causes the output to become bigger than the actual output of the software industry. Second, during rewriting the inter-industry table, the output is changing. The inter-industry table is the table in the form of rows and columns, which records the transactions of goods and services among industries which are required to continue the activities of each industry. Accordingly, if only an output of a specific industry is changed, the reliability of the table would be degraded because the table is prepared based on the relations with other industries. This possibly causes the economic effect coefficient to degrade reliability, over or under estimated. This study tries to correct these problems to get the more accurate economic effect of the software industry. First, to get the output of the pure software section only, the data from the Korea Electronics Association(KEA) was used in the inter-industry table. Second, to prevent the difference in the outputs during rewriting the inter-industry table, the difference between the output in the current inter-industry table and the output from KEA data was identified and then it was defined as the non-software section output for the analysis. The following results were obtained: The pure software section's economic effect coefficient was lower than the coefficient of non-software section. It comes from differenceof data to Bank of Korea and KEA. This study hasa signification from accurate economic effect of Korea software industry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2514-2519
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• 2012

The policy objective of leading industries for an economic region is to increase industrial competitiveness by regional cooperation and linkage and so the economic impact analysis of R&D by region is required. This research utilizes regional input-output tables of the Bank of Korea to analyze the economic impact of 'next-generation wireless communication devices' project in 'New IT' sector of Chungcheong economic region.

• Korean Journal of Organic Agriculture
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• v.26 no.4
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• pp.619-628
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• 2018

This study analyze the economic effect of chemical fertilizer. We used the input and output data, and the analysis variables include production output nitrogen, phosphoric acid, potassium, seeds, and labor. The main results are as follows. First, for spring potatoes, potassium increases to a certain level of output, but over a certain stage, the output decreases as the input increases. Optimal use of potassium in the calculation of spring potatoes can achieve the effect of reducing input costs and increasing output simultaneously. Second, radish In autumn, nitrogen increases to a certain level, but over a certain stage it represents a reverse U-shaped relationship in which output decreases as input increases. This means that reducing the amount of fertilizer input increases the output. This means that soil-related agricultural big data can contribute to the management of nutrients and greenhouse gas reduction in agricultural land.

• The Journal of Fisheries Business Administration
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• v.46 no.1
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• pp.109-119
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• 2015

This paper is to estimate the economic effect of benefits of the R&D and recreational fishing as well as input-output analysis in the Tae-an Trial Sea Farm Project(TTSFP). We use B/C model to indicate the effects of economic valuation. B/C analyses model consists of Benefit Cost Ratio(BCR), Net Present Value(NPV) and Internal Ration of Return(IRR). Using 5.5% discounting rates and the survey data, the sub-models show economically feasible in the all of analysis and analyzed the results as follows. NPV is 42,147 million won, BCR is 3.29 and IRR is 34.30%. This study attempts to apply input-output(I-O) analysis in connecting the economic effect of TTSFP. I-O model was constructed, focusing on three effects; the production-inducing effect, the value-added-inducing effect and employment-inducing effect. There are positive effects on economic value and job creation in Tae-an and Nation.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.40
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• pp.33-63
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• 2008

This study introduces the adoption of the logistics industry by the Korean government as a threshold of overcoming economic difficulties. The core contents of the National Logistics Plans (2001-2020) which contain the basic principles of the logistics policies of the Korean government and its aim to be an 'Excellent Nation of Logistics' is introduced. The economic effect of the logistics policies implemented between 2001 and 2005, (the period of the first Medium-term Logistics Plan according to the National Logistics Plans (2001-2020) set up by the Korean government at the end of 2000) is estimated through input-output analysis. The input-output analysis result is as follows: the total output effect is 8,856 billion won of which indirect output effect is 3,982.9 billion won; indirect output effect comes mainly from real estate and business services, non-metal products, metal products, electrical and electronics products, finance and insurance, wholesale and retail, petroleum and coal; the total amount of value-added effect is 3,376 billion won and total import effect is 726 billion won. Employment effect including self-employed and unpaid family supporters with paid laborers is 79,203.7 people of which paid laborers comprise 67,547.7 people.

• The Journal of Industrial Distribution & Business
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• v.8 no.5
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• pp.7-13
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• 2017

Purpose - The purpose of this paper is to analyze the relationship between the real exchange rate and the output, which is based on the macroeconomic equilibrium theory in China. Its aim will be to verify whether the change in the real exchange rate has a significant effect on the output or not. Research design, data, and methodology - This study endeavors tries to investigate the correlation among economic variables under the macroeconomic market (the commodity market and the money market) equilibrium. So, time-series data from 1990 to 2016 is applied to establish a vector auto-regression (VAR) model so as to perform an empirical analysis. Results - The empirical results reveal that an increase in the real exchange rate will result in an increase in the output in the short run. However, the empirical results also indicate that this kind of mechanism cannot work in the long run. Conclusions - The effect of a decrease of real exchange rate on output is significant in the short run. Also, this paper suggests that the total supply and the total demand can promote economic growth. The fiscal and money policy play a significant role in economic growth in China as well.

• IE interfaces
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• v.23 no.4
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• pp.319-326
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• 2010

The SMB supercomputing service provides a supercomputing infrastructure for Small and Medium-sized Business (SMB) to enhance the efficiency of product development activity. In this study, the economic value of SMB supercomputing service is presented. The economic value of service is comprised of a direct and an indirect economic value. A direct economic value was estimated based on the result of user survey on service effectiveness. The input-output analysis method was adopted to estimate an indirect economic value induced from a direct economic value. The future economic value based on the result of user demand survey is also presented. As a result, the annual and future economic value of service were estimated about 55,215 million won and 323,928 million won, respectively.

• Transactions of the Korean hydrogen and new energy society
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• v.34 no.5
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• pp.398-412
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• 2023

The Korean government is actively promoting the hydrogen industry as a key driver of economic growth. This commitment is evident in the 2019 hydrogen economy activation roadmap and the 2021 basic plan for hydrogen economy implementation. This study quantitatively analyzes the economic impact of the hydrogen economy using input-output analysis based on the Bank of Korea's 2019 input-output table, projecting its size by 2050. Four parts dealt with production-inducing, value-added creation, employment-inducing, and wage-inducing based on a demand-driven model. The results reveal that transportation had the most remarkable economic effect throughout the hydrogen economy, and production was the least. The hydrogen economy is projected to reach 71.2 trillion won by 2050.