• Environmental and Resource Economics Review
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• v.20 no.2
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• pp.255-289
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• 2011

This study made linked Energy IO Table 00-05-08 of 76 sectors in intermediate sectors and analyzed structural decomposition analysis in energy consumption change in industrial sector with both by aggregate data and micro data. Structural decomposition analysis focused value added level change, value added share change of each industry, output structural change of each industry and energy intensity change of each industry as factors. Supply side model based on Ghosh inverse matrix was applied as empirical model because Korea has export driven industrial structure. Empirical results with aggregate data showed that value added change increased energy consumption and output structural change of each industry decreased energy consumption in both 2000~2005 and 2005~2008. However value added share change and energy intensity change caused opposite direction in energy consumption change with time. Policy based on aggregate data can not evaluate effort of each industry in energy efficiency and make effective results because aggregate data delete character of each industry.

• Environmental and Resource Economics Review
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• v.20 no.2
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• pp.167-198
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• 2011

The Korean government recently announced greenhouse gases (GHG) emissions reduction target as 30% of 2020 business as usual (BAU) emission projection. As carbon emissions trading is widely used to achieve reductions in the emissions of pollutants, this study deals with the sectoral allocation of initial carbon emission permits in Korea. This research tests the effectiveness of a variety of allocation rules based on the bankruptcy problem in cooperative game theory and hybrid input-output tables which combines environmental statistics with input-output tables. The impact of initial emission permits allocation on economic growth is also analyzed through green growth accounting. According to the analysis result, annual GDP growth rate of Korea is expected to be 4.03%, 4.23%, and 3.67% under Proportional, Constrained Equal Awards, and Constrained Equal Losses rules, respectively. These rates are approximately from 0.69% points to 0.13% points lower than the growth rate of 4.36% without compulsory $CO_2$ reduction. Thus, CEA rule is the most favorable in terms of GDP growth. This study confirms the importance of industry level study on the carbon reduction plan and initial carbon emission permits should reflect the characteristic of each industry.

• Journal of Environmental Policy
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• v.10 no.3
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• pp.49-71
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• 2011

Water is an essential element required for the survival of 6 billion human beings around the world, and it has limited mobility. The importance of water industry has grown considerably, as its forecasted market size is expected to increase from $336 billion in 2007 to $865 billion in 2025, respectively. In 2003, the domestic water market was estimated to be worth 11 trillion won. However, according to the estimates of this research, the result above was overestimated by 2 trillion won. The economic ripple effects of newly defined water industry based on the input-output data from 2000 to 2008 were trivial, as the price effects of water industry was considerably minor at only 0.12%. To successfully implement policies to enhance the water industry, the market price mechanism must operate and function properly. Nevertheless, the impact of water's market prices on the economy upon application is projected to be trivial.

• Environmental and Resource Economics Review
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• v.7 no.1
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• pp.1-28
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• 1997

최근 전력가격의 인상을 통한 전력수요 조절에 대한 관심이 높아지고 있다. 본고에서는 개방경제 CGE 모형을 통하여 전기요금 인상이 국민총생산, 물개 무역수지 등 주요 거시변수들에 미치는 영향과 개별 산업의 생산, 생산물 가격, 수출입에 미치는 영향을 분석하였다. 이를 위하여 1993년도 산업연관표에 기초하여 전체 산업을 16개 부분으로 통합, 재분류한 뒤, 전기요금 인상에 대한 다양한 정책실험을 시도하였다. 분석 결과 전력가격인상은 실질총생산의 감소 및 물가의 상승을 가져오나 그 정도는 기존의 연구보다 작은 것으로 나타났으며, 수출과 수입은 모두 감소하나 수출감소율이 수입감소율을 초과하여 무역수지는 악화되는 것으로 나타났다. 산업부문별로는 전기요금인상에 따라 비교역재에 가까운 서비스업의 생산량 감소효과가 두드러진 것으로 나타났다.

• Environmental and Resource Economics Review
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• v.15 no.4
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• pp.643-672
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• 2006

This study has assessed the industrial human toxicity index by means of toxic substances emissions in South Korean industry. The data used in analysis are the 146 kinds of the toxic chemicals emissions and final demands, total outputs in the input-output table. As a results, human carcinogenic index was $11.86198{\times}10^3$ for overall industries, and $0.26360{\times}10^3$ for average. The industries of higher human toxicity index can be ranked as follows: Mother vehicles and parts (7.85033) > Pig iron and crude steel(4.57409) > Primary iron and steel products(4.36668) > Other transportation equipments and parts(3.43293) > Inorganic basic chemical products(2.64379), etc. Such result can be considered as the priority order of regulation based on industrial characteristics, when the demand and industrial policies should be carried out for the deduction fof toxic substances.

• Journal of Environmental Policy
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• v.12 no.1
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• pp.101-123
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• 2013

This research aims to find out the existence of considerable induced effect that the conventional I-O model cannot. First, we construct an environmental Social Accounting Matrix for Korea by combining statistics on the Korean GDP and I-O with physical data on the fossil energy consumption and $CO_2$ emissions. The impacts of productive activities on fossil energy consumption and $CO_2$ emissions are evaluated by calculating the e-SAM multipliers. By applying decomposition technique further, we get direct, indirect, and induced effects of production activities by industry. The result of decomposing the e-SAM shows that while the direct effect of the electricity industry is large, its indirect effect is very small. In the case of the primary metal industry, both the direct and the indirect influence of this industry were very large. On the contrary, in case of the service industry, the induced effect of fossil energy consumption was as high as 50% of the gross effect. These results suggest that different energy policies should be established for different industries. Also, the findings show the e-SAM model is better than I-O model in analyzing implications of policies on energy use in the economy.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.85-107
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• 2022

This study is to analyze the induced effect, network connectivity, and network visualization of the water transportation industry on the overall economy in relation to all industries. For this, various inducement coefficients of the water transportation industry are analyzed using industry linkage analysis and unit structure matrix, and network visualization analysis is performed using network connectivity and NetDraw using Ucinet 6 that utilizes unit structure matrix and inverse matrix function. As a result of the study, analysis results of input coefficient, production inducement coefficient, value-added inducement coefficient, and inter-industry chain effect were presented as various inducement coefficients in the water transportation industry. content was presented. Through this study, the current position and status of the water transportation industry and its relationship with all industries were confirmed, and the strategic relationship with which industries it should be presented was presented. In the future, it is necessary to further analyze the current status and trends of various induced effects, connectivity (centrality), and network visualization analysis using industry-related analysis published since the 2000s.

• Environmental and Resource Economics Review
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• v.18 no.2
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• pp.279-309
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• 2009

Greenhouse gas emissions should be precisely forecast to reduce the emissions from industrial production processes. This study calculated the direct and indirect $CO_2$ emission intensities of 401 industries using the Input-Output tables 2003 and statistical data on the amount of energy use. This study had some limitations in drawing study findings because overseas data were used given the lack of domestic data. Other limiting factors included the oil distribution problems in the oil refinery sector, re-review of carbon neutral, and insufficient consideration of waste treatment. Nonetheless, this study is very meaningful since the direct and indirect $CO_2$ emission intensities of 401 industries were calculated. Specifically, this study considered from the zero-waste perspective the effects of waste, which attract interest worldwide since coke gas and gas from the steel industry are obtained as byproducts for the first time in Korea. According to the results of the analysis of $CO_2$ emission intensity per industry, typical industries whose indirect $CO_2$ emission intensity is high include crude steel making, Remicon, steel wire rods & track rail, cast iron, and iron reinforcing rods & bar steel. These industries produce products using the raw materials produced in the industrial sector whose $CO_2$ emission intensity is high. The representative industries whose direct $CO_2$ emission intensity is high include cement, pig iron, lime & plaster products, andcoal-based compounds. These industries extract raw ore from nature and refine them into raw materials that are useful in other industries. The findings in this study can be effectively used for the following case: estimation of target $CO_2$ emission reduction level reflecting each industrial sector's characteristics, calculation of potential emission reduction of each policy to reduce $CO_2$ emissions, identification of a firm's $CO_2$ emission level, and setting of the target level of emission reduction. Moreover, the findings in this study can be utilized widely in fields such as System of integrated Environmental and Economic Accounting(SEEA) and Material Flow Analysis(MFA) as the current topic of research in Korea.

• Environmental and Resource Economics Review
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• v.33 no.3
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• pp.291-314
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• 2024

The International Maritime Organization (IMO) has strengthened environmental regulations, leading to an increase in demand for LNG-powered ships. To enhance the competitiveness of ports and promote the use of LNG-powered ships, establishing LNG bunkering infrastructure is necessary. However, no ports in Korea currently have such infrastructure. This study used the 2015 regional input-output table to examine the economic impact of establishing LNG bunkering infrastructure in Busan Port, the largest port in Korea. The estimated cost of the project in 2023 was KRW 21.09 billion. The average production, value-added, and employment inducement coefficients were 1.223, 0.372, and 7.58, respectively.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.1
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• pp.146-157
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• 2007

Fishing villages have rich potential on account of serving as a base of fishing activities with various maritime ecosystem, culture and maritime resources as well. The object of the study is ports located in Gijang, Busan and it presents the overall development direction in ports within this area. Through systematic and well-planned developing small-sized ports, this research analyzes regional economic implications by improving settlement conditions for fishing villagers scattered around this area taking the ports' natural traits into consideration. The research correlates regional input output analysis by fishing port arrangement project with connection between inter-industries and inter-regions according to the model of input-output analysis and attempts to systematically analyze regional economic structure with the economic implication divided into production, employment and income, influenced upon by the change of political exogenous variable.