• Journal of Korea Port Economic Association
• /
• v.24 no.2
• /
• pp.193-208
• /
• 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.

• Journal of Korea Port Economic Association
• /
• v.27 no.3
• /
• pp.311-329
• /
• 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.

• The Journal of the Korea Contents Association
• /
• v.11 no.12
• /
• pp.884-892
• /
• 2011

The analysis of the tourist industry in relation to the general industries is of high use as a means to measure an economic effectiveness as the interest in the policy of service industry increases. From the Input-Output Tables of both 2007 and 2008, Inverse Matrix Coefficients, Imports Requirement Coefficients, and Value Added Requirement Coefficients have been derived. As a result of analysis, the main indexes of the industry-related analysis have almost no differences as compared with those of the 1980s. In spite of the reduction in the scope of the tourist industry in this paper, it is estimated that the reason why the above-mentioned result has been derived is that the influence of today's tourist industry grows bigger than that of the past. In the future studies, the agreement on the classification of tourist industry is requested. In addition, all kinds of calculations have to be derived in general, and the general parts of the tourist industry have to be analyzed in details.

• The Journal of the Korea Contents Association
• /
• v.16 no.11
• /
• pp.358-368
• /
• 2016

The kimchi 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 kimchi industry is struggling due to the lack of national consensus on the importance and value of the kimchi industry. Therefore, the purpose of this study was to analyze how much the kimchi industry contributes to the national economy by measuring economic effects of the kimchi industry on national economy. To achieve this purpose, the study used the kimchi industry Input-Output Table of year 2013 of korea. The results shows that kimchi industry induce 510,013 billion won of national production, especially the retail trade distribution industry shows that production inducement coefficient is 1.8418(row), 1.1760(column), Index of the power of dispersion is 0.9611, index of the sensitivity of dispersion is 0.6136, income inducement coefficient is 0.1820, tax inducement coefficient is 0.0084 and employment inducement coefficient is 0.003. With the help of information technology.

• The Journal of the Korea Contents Association
• /
• v.13 no.2
• /
• pp.390-399
• /
• 2013

The purpose of this study is to examine the impact of enterprise R&D investment on inter-industry technology spillover in Korea under the new Normal Era. In order to do this, we tested the effect of production inducement, backward and forward linkage effects, and the effect of technology spillover such as technology intensity effects and technology diffusion effects based on an input-output framework. The results show that the high index industries of the production inducement effect were professional, scientific and technical activities, manufacture of metal products, and general machinery. Some manufacturers of other non-metallic mineral products and transport equipment sectors appeared to have the strong effect of forward and backward linkages that were almost equivalent to high-tech manufacturing industries. In particular, the industries of professional, scientific and technical activities appeared to have the strong effect of both forward and backward linkages. Therefore, we need to drive a strong policy support to higher enterprise R&D investment in the those particular industries not only to increase global competitiveness, but also to widen up the technology spillover effect on other industries.

• Environmental and Resource Economics Review
• /
• v.20 no.1
• /
• pp.1-31
• /
• 2011

By employing Environmental Input-Output Table 2005, which has 76 intermediate sector and 21 energy sources, this paper analyses the flow of energy demand and $CO_2$ after estimating an induced $CO_2$ emissions from 76 industrial sectors. Index of $CO_2$ intensity($CO_2/GDP$) and other index of $CO_2$ intensity($CO_2/calory$) showed that final demand sector uses more high calory energy source. Intermediate sector used less environmental friendly energy source and emit more $CO_2$ at same calory. Industries those has high induced $CO_2$ emissions are Thermal Power($32.587CO_2-g/Won$), Cement($10.370CO_2-g/Won$), Road Transportation($7.255CO_2-g/Won$), Cokes and Other Coal Products($5.791CO_2-g/Won$), Steam and Hot water supply, Sewage, Sanitary services($4.575CO_2-g/Won$). It is shown that industry such as Iron and Steel which has low $CO_2$ intensity, high backward linkage effect and high forward linkage effect makes high induced $CO_2$ emissions. Environmental load and $CO_2$ emissions in overall economy will decrease when not high $CO_2$ intensity industry but also low $CO_2$ intensity industry makes lower $CO_2$ intensity.

• Journal of Korea Port Economic Association
• /
• v.24 no.2
• /
• pp.317-334
• /
• 2008

Port industry has achieved a remarkable growth with a help from increase in container shipment and above all, transshipment that reflects international competitive power of Port industry amounts to 36% of the national harbor shipment. Therefore, this study speculates the impact of Port industry on national economy using the inter-industry relation table. As it considers the reason why international competitive power in Port facilities decreased as absence of investment, it is to present an effective investment plan for Port industry. Though Port industry as one of main national key industries play an important role in production of national economy, it has been evaluated as having relatively less importance. And when Port industry is managed independently, relying on foreign countries without improvement, price increase due to improper agreement of foreign enterprises and problems relating to securing safe transportational vehicles will have tremendous impact on national economy. And they should try to create added-value and support re-export of the exported and imported shipment through their processing and packaging by making Port zones bonded area. production of national economy, it has been evaluated as having relatively less importance. And when Port industry is managed independently, relying on foreign countries without improvement, price increase due to improper agreement of foreign enterprises and problems relating to securing safe transportational vehicles will have tremendous impact on national economy. And they should try to create added-value and support re-export of the exported and imported shipment through their processing and packaging by making Port zones bonded area.

• Economic and Environmental Geology
• /
• v.54 no.5
• /
• pp.573-580
• /
• 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.

• Knowledge Management Research
• /
• v.17 no.1
• /
• pp.73-89
• /
• 2016

The digital culture contents is one of the fastest growing industry in Korea and it accounts for 60% of the digital contents industry. This paper attempts to analyze economic impacts of the digital culture contents industry using input-output analysis. This study investigated the production-inducing effect, value-added-inducing effect and employment-inducing effect of the digital culture contents industry based on a demand-driven model. In addition, the study dealt with the supply shortage effect and sectoral price effect of the digital culture contents industry using a supply-driven model and the Leontief price model, including the inter-industry linkage effects of 29 sectors with the digital culture contents industry sector. Some interesting findings were drawn from the study. First, production of 1.0 won in the digital culture contents industry results in production-inducing effect of 2.39542 won, value-added effect of 1.29895 won and employment-inducing effect of 0.39657 persons in other industries. Second, the supply shortage of 1.0 won in the digital culture contents industry prevents other industries from producing 0.56631 won. Third, a 1% increase in the price level of the digital culture contents industry raises the overall price level by 0.06017%. Finally, very high backward linkage effects were found, but forward linkage effects were minimal.

• Journal of Distribution Research
• /
• v.15 no.5
• /
• pp.175-193
• /
• 2010

This paper has two objectives. One is to understand status of the distribution industry in Korea and compare it with industrialized countries. The other is an attempt to apply input-output(I-O) analysis to investigate the economic impacts of the distribution industry in the national economy for the year 2008. In the economy as a whole, the distribution industry represented about around 15 per cent employment and accounted for near 8 percent in GDP. The employment portion of the distribution in overall industry is almost same that of US, UK, and Japan, but shared portion in GDP is at least 3 per cent below these countries. Next, a static I-O framework is employed, focusing on two topics in its application. First, the impacts of the product or investment in the distribution industry on the product, value-added, and employment of other sectors are explored by using demand-driven model. Second, the national economic impacts of the distribution industry in Korea are looked into by using open model and inter-industry analysis. It can be summarized that the distribution industry has a high production-inducing effect, more worker and employment-inducing effect, a high forward and a low backward linkage effect. Finally, the implications and limitations of this study are discussed.