• 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.

• Economic Analysis
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• v.26 no.4
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• pp.65-97
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• 2020

The purpose of this paper is to analyze the effects of exports on Korea's employment and to decompose driving factors of change in Korea's employment embodied in exports (EEX). This study uses a multi-regional input-output (MRIO) and structural decomposition analysis (SDA) for empirical analysis, and uses a dataset of World Input-Output Tables (WIOTs) and Socio-Economic Accounts (SEAs) from the World Input-Output Database (WIOD). The main findings of the empirical results are summarized as follows. First, Korea's EEX continues to increase and Korea's share of EEX compared to total employment shows an upward trend. However, Korea's employment inducement coefficient of value-added exports showed a downward trend during the 2000-2014 period. Second, final demand from three countries (China, the United States, and the Rest of the World (RoW)) has affected a significant portion of Korea's EEX. Finally, from the results of the SDA, the effect of changes in final demand was the most important driving factor for the increase in Korea's EEX. Based on the results of this empirical analysis, this study discusses useful policy implications that could increase domestic employment in Korea.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.23-33
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• 2021

The prolonged coronavirus 19 (COVID-19) has caused serious problems such as job losses and youth unemployment, but as the fourth industrial revolution and digital transformation accelerate, the importance of SW is highlighted and more qualified jobs are expected in the SW industry. However, domestic SW companies are having difficulties in not properly recognizing the value of SW products. Among many related issues, commercial SW maintenance-related issues are representative, and the main problem is the difference in the maintenance fee rates between domestic and foreign SW. In this study, the expected job creation effect when the SW maintenance rate is raised was analyzed using data related to the SW industry and commercial software. As a result of the analysis, the amount required to raise the commercial SW maintenance rate by 1% is 162 billion won. If all of these are used for employment, the expected new job creation effect is 3,240 jobs per year, and 15,451 jobs are created per year when calculated and estimated as the effect of increasing sales through the employment inducement coefficient. In addition, the amount required to raise the current average maintenance rate of 11.1% to 15% is 631.9 billion won, and it was possible to estimate the effect of creating jobs for 12,648 people based on the simple average wage and 60,259 people from the sales increase effect.

• Journal of Korean Society of Forest Science
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• v.106 no.2
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• pp.219-229
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• 2017

Forest road is an essential infrastructure for forest management such as the composition and management of forest resources, timber and forest byproduct production & transportation. It has recently been utilized forest recreation and forest sports as well as also forest pest control, forest fire prevention and evolution. When you build a forest road, the economic function in the forest is activated, so that it can result in the ripple effect of induced employment, value-added creation and production inducement. The purpose of this study is to analyze the impact caused by forest road construction occurring as the overall economy. For analysis it was applied to inter industry analysis method that is a method for analyzing the quantitative cross-correlation. The data were used in the Input-Output Tables In 2014, the Bank of Korea. When you build a forest road, economic effect due to the construction of the forest road is generated and economic effects are also generated due to the increase in the production of forest products after the construction of the forest road. Therefore, we will analyze the economic impact of the two effects. The estimated economic value of forest products, which is the economic effect of forest product cultivation, was calculated through some assumptions and the economic ripple effect was analyzed. The forest road construction sector is defined as land clearing and reclamation, and irrigation project construction and the forestry forest products sector is defined as the sum of raw timber, edible forest products and misc. forest products. In total, 32 sectors were classified, and except for the two sectors defined as forest road construction and forestry forest products, the remaining sectors were integrated according to the classification system of 30 integrated classifications of the Bank of Korea. As a result, the production inducement coefficient for forest construction was analyzed to be 2.767 and the production inducement coefficient for forestry forest products was analyzed to be 1.565. This means that 2,767 times the production of forest road construction investment is induced in the whole industry and the production of 1.562 times the amount of forestry forest products is caused by the whole industry as the production of forestry forest products increases. The value added inducement coefficient for forest road construction was 0.977 and the value added inducement coefficient for forestry forest products was 0.985. Forest road are essential infrastructure for forestry development and should be continuously invested because they are essential elements of timber production and forest byproduct production with functions such as forest management, forest recreation, forest sports, and town connection.

• 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.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.4
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• pp.559-569
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• 2022

Infrastructure engineering is a field that supports construction (assembly) as a representative industry that creates high added value and jobs by combining science and technology with knowledge, though its importance is underestimated. According to a report from the Ministry of Land, Infrastructure and Transport (Korea), the value-added rate (65.3%) of the engineering industry and the employment inducement coefficient (14 employees per billion won) are three times higher than in manufacturing. In particular,the forward value chain (such as project management and basic design) accounts for less than 10~15% of the total project cost but determines the overall price and quality of the infrastructure facilities. In this study, a work break-down system, design support module and database development method for road design projects for design platform development is presented. Based on the presented development method, a cloud-based infrastructure design platform's prototype is developed. The developed infrastructure engineering platform is expected to provide a web-based design work environment without time/space restrictions and greatly contribute to winning overseas business orders and securing competitiveness.