• Journal of Korea Port Economic Association
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• v.31 no.4
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• pp.53-73
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• 2015

This study analyzes the economic impact of the shipping and port logistics industry in Gwangyang Bay Area on the regional economy. For this purpose, the study constructs an input-output table of 29 sectors for 2010 in the area. The main findings are as follows. In terms of production, value added, and share of employment, the regional shipping and port logistics industry accounts for approximately 10.8 percent, 6.0 percent, and 2.9 percent of the national shipping and port logistics industry, respectively. Moreover, the economic impact of the industry on the regional economy is estimated to be an increase in terms of production of about 6 trillion Korean won), to be an increase in value added of about 2.5 million Korean won, and an increase of about 16,000 in employment. Furthermore, the industry is found to have strong inter-industry linkages with the main manufacturing as well as the main producer service industries.

• Journal of Environmental Policy
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• v.9 no.2
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• pp.21-39
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• 2010

In this paper, water consumption annually for industries in Korea was estimated for the first time and based on this, an input-output model was prepared for water consumption analysis. Also making use of this, the direct and indirect water consumption effect according to industrial activities was analyzed and the total effect based on volume was broken down into each factor. The amount of water consumed for industries in Korea (excluding agriculture, forestry and fishery) was estimated about 7 billion and 692 million ton in 2003(excluding sea water). Classifying by industry, the one for electric power & water service accounted for almost half, 49.5%, metalworking industry for 24.3% and chemical industry for 5.0%. As the result of estimation for the direct and indirect water consumption inducement coefficients, the amount of water consumed per the production of one million won ranked the highest for electric power & water service as 113.8 ton and the next highest ones ranked as 49.6 ton for the first metalworking, 16.8 ton for textile and leather goods, and 11.9 ton for general machinery respectively. In the meantime, as the result of breaking down into each factor of total amount of water consumed by industry, it appeared that the ripple effect having on other industries was more than the direct effect.

• Environmental and Resource Economics Review
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• v.15 no.1
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• pp.27-50
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• 2006

We estimate $CO_2$ emissions in Korea industry, 1990 and 2000 using a commodity- by-industry IO model ($CO_2$ hybrid IO mode]). Estimated $CO_2$ emissions in industries include both $CO_2$ emissions from direct and indirect consumption. The results show that total $CO_2$ emissions has increased by 51.6 million TC (Tonne of Carbon) from 64.4 million TC in 1990 to 115.5 million TC in 2000. By applying the structural decomposition analysis technique, we decompose change of $CO_2$ emissions in Korea industry between the period 1990~2000. In the decomposition, we figure out two contributing factors, changes in $CO_2$ coefficient and changes in final demand. The latter is further decomposed as growth effects and structural effects. We also estimated each factor's contribution to the changes in $CO_2$ emissions in industries between 1990~2000. The analysis can be used as a useful resource for policy makers in improving the effectiveness of $CO_2$ emissions mitigation policy.

• Science & Technology Policy
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• v.11 no.4 s.130
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• pp.159-169
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• 2001

• KDI Journal of Economic Policy
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• v.4 no.1
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• pp.144-168
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• 1982

• Journal of the Korea Convergence Society
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• v.7 no.4
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• pp.191-198
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• 2016

As the electricity produced from the electricity industry, a national key industry in Korea, are supplied to other industries as an intermediate goods, the supply shortage of electricity industry has a large impact on the national economy. This paper attempts to analyze the supply shortage effects which are defined as the negative impact of one won of supply failure in the electricity on the production of other industries. To this end, an input-output analysis using an input-output (I-O) table describing inter-industry flow of intermediate goods is applied. More concretely, the supply-driven model is applied subject to the OECD countries. The value of the supply effects interfere with Denmark's best large 1.682 was followed by South Korea, Japan, Australia, the UK.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.191-203
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• 2015

IT is based industry on finance and insurance services and is essential equipment of survival for competitive on market. The importance of IT industry on finance and insurance is bigger than other industries. So, This study examinate effects of hardware and software divided by IT industry on each 6 finance and insurances. Research models are production inducing effects of Demand-Driven model, Shortage effects of Supply-Driven model finally, Leontief's price model by using data for analysis is Input-Output table for 2000~2009. Results are that IT Service effects are more impact than IT hardware effects on Finance and Insurance Service. Especially, IT service's supply shortage effects is 0.0847KWR to produce 1KRW of finance and insurance service for 2-fold increase compared to 2000. In addition, Central Bank and banking institutions of finance and insurance services are the greatest impact from IT industry. These are which is increasing to interdependence between IT industry and finance and insurance service.

• Journal of Agricultural Extension & Community Development
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• v.21 no.3
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• pp.155-179
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• 2014

Input-output(I-O) analysis is now widely used to examine the economic impact of tourism. The study aims to demonstrate the impact of agri-tourism development project on local development in terms of income and employment. Based on the I-O transactions tables developed by Bank of Korea (2011), rural tourism related sectoral multipliers were derived with respect to output, income, employment, and value-added tax. The results of the I-O model indicate that in 2011, rural tourism development generated 1,387 billion Won of output impact, 287 billion Won of income impact, 275 billion Won of value-added impact, and 41,127 full-time jobs, respectively throughout direct, indirect, and induced effects. In particular, the restaurant sector had relative higher output and employment multipliers as compared to other industries, whereas they had lower multipliers of income and value-added than any other industries. The findings imply that the restaurant sector was relatively labor-intensive industry, generating high impact of employment effects.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.88-88
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• 2018

기후변화와 기후변동으로 인해 태풍과 홍수 등의 자연재난 발생빈도가 증가하고 있으며, 이로 인해 심각한 인적 경제적 피해가 발생하고 있다. 피해 정도와 규모는 각 지역의 사회 경제적 요소에 따라 큰 차이를 보이고 있지만, 일반적으로 특정 지역에서 발생한 피해는 연속적으로 타 지역에 영향을 미치고 궁극적으로 국가 경제에 심각한 타격을 주는 경향이 있다. 따라서 본 연구에서는 산업연관모형을 이용하여 태풍 '차바'로 인해 울산지역에 발생한 피해가 국가 경제에 미치는 영향을 평가하였다. 본 연구결과는 특정 지역에서 발생한 피해가 타지역 및 국가 경제에 어떤 영향을 미치는지 정량적으로 평가하였고, 효율적인 재난관리의 기초자료로 사용될 수 있을 것으로 기대된다.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.3
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• pp.457-469
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• 2010

The study aims to estimate interregional trade coefficient of service industry using the gravity model. The gravity model has been widely used for prediction of the level of human interaction between two regions which is positively related to attraction of them and negatively related to the distance between them. To apply the gravity model for explaining the interregional trade flow of service industry, the choice of proper proxy variables which represent a dependent variable and independent variables is most important. However, the literature shows that there are few studies on this issue. Four models concerned to the choice of proxy variables are considered. Finally, this paper employs the least-squares regression analysis to test the model's goodness-of-fit, and suggests the most appropriate model based on the result from the analysis. The result shows that the interregional trade of service industry in regional input-output table developed by The Bank of Korea is desirable as a dependent variable, the service industry output of export region, the population of import region, and the spatial distance between regions are desirable as independent variables.