• Journal of Environmental Policy
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• v.14 no.3
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• pp.41-73
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• 2015

The Korea Emissions Trading System that was launched in Jan. 2015 is expected to be a crucial policy measure to abate domestic $CO_2$ emission. For accomplishing its purpose, prior information on the price discovery process needs to be presented in order to facilitate the trading of spot allowances with different vintages. We develope a customized pricing method for Korean ETS using the concept of term structure and the cost of carry model.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.343-344
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• 2006

Consumption of fossil fuel has been increasing steadily, and it has seriously affected environment. Due to this situation, UN establish ed UNFCC (United rations Framework Convention on Climate Change), and since Feb. 2005, Kyoto Protocol has come into effect for UNFCC obligation. In Korean power system, coal and oil thermal generation emitting large CO2 form about 46% of total generation. Moreover since electricity dem and has been increasing continuously, various alternatives should be designed to comply with Kyoto Protocol. In this paper, we analyze changes of each GENCO's generation pattern and resource planning under CO2 emission constraints. For this analysis, we incorporate CO2 emission constraints and the emission trading mechanism into the conventional OPF model.

• Environmental and Resource Economics Review
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• v.24 no.3
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• pp.489-522
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• 2015

According to Law on Allocation and Trading of GHG Allowances of 2013 in Korea as well as the 2014 National Master Plan for Korean Emissions Trading System, the System should be designed to minimize the change in the market positions of the affected firms. In this paper, we investigate how that principle might become ineffective by the ways of distributing allowances and applying different accounting methods using a Cournot duopoly model. Although the way of allocating allowances freely to firms combined with accounting them for having no values would minimize their market positions, it would not the most cost-effective way of GHG reduction since it does not provide financial market with accurate informations.

• Environmental and Resource Economics Review
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• v.24 no.1
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• pp.141-164
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• 2015

The concept of consumption-based greenhouse gas (GHG) inventory is directly related with the carbon content of international trade. Along the lines of the consumption-based GHG inventory, we investigate domestic and foreign carbon contents embodied in sectoral exports of Korea. In addition to the analysis of carbon content of exports, it is investigated how much share of responsibility for carbon emissions of Korea belongs to each major trading partner of Korea. We also compute the carbon intensities of Korean exports in carbon chain with other trading partners and find some characteristics revealed in Korea's carbon emissions embodied in its exports.

• Environmental and Resource Economics Review
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• v.18 no.1
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• pp.23-51
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• 2009

This research alms at quantifying economic impacts of free trading policy on environment-friendly fuel industry applying a static general equilibrium (CGE) model for Korea. Theoretically, 'polluters haven' hypothesis had been debated as major issue on the environmental effects of trade liberalization during 1970s and 1980s but recent literature emphasizes that production, scale, structural, and regulatory effects may derive rapid diffusion of environment friendly technologies. In this study, trade liberalization policy affects output of agricultural sectors negatively while that of biodiesel as environment-friendly technology positively. The rise m the output of biodiesel is derived from the reduction in import prices of agricultural products due to the abolishment of tariff. The policy implication from the analysis is that feedstock for producing biodiesel should be exploited in the foreign countries where productivity of agriculture is quite predominant compared to Korean agriculture.

• Journal of IKEEE
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• v.23 no.3
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• pp.852-857
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• 2019

In order to manage the demand resources of project participants and to provide appropriate strategies in the virtual power plant's power trading platform for consumers or operators who want to participate in the distributed resource collective trading market, it is very important to forecast the next day's demand of individual participants and the overall system's electricity demand. This paper developed a power demand forecasting model for the next day. For the model, we used LSTM algorithm of deep learning technique in consideration of time series characteristics of power demand forecasting data, and new scheme is applied by applying one-hot encoding method to input/output values such as power demand. In the performance evaluation for comparing the general DNN with our LSTM forecasting model, both model showed 4.50 and 1.89 of root mean square error, respectively, and our LSTM model showed high prediction accuracy.

• Asia pacific journal of information systems
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• v.10 no.4
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• pp.1-20
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• 2000

Electronic Data Interchange(EDI) has the potential to improve business operations by expediting the exchange of business documents. It will also provide substantive operational and strategic benefits to the trading firms. However, the successful implementation of EDI systems requires the mutual trust and cooperation between the trading firms. The extent of EDI diffusion and performance depends on inter-organizational, intra-organizational, as well as innovation factors. Researches based on the sociopolitical process framework in the use of IT, organizational theory, resource dependence theory, and innovation diffusion theory have identified 3 inter-organizational variables(transaction climate, dependence, external IS expert support) and 4 intra-organizational variables(strategic IS planning, infrastructure, top management support, education/training,), and 3 innovation variables(compatibility, relative advantage, cost) that affect EDI diffusion. In this study, a multi-dimensional measure on EDI diffusion has been developed to capture the external and internal integration. Then, the influence of these 10 variables on the extent to which the EDI adopting firms pursue diffusion has been examined. Whether more diffusion leads to superior performance has also been studied. International trade managers from 107 firms in the trade industry participated in a field survey. The results based on a structural equation model(SEM), developed using AMOS, provide quite a strong support for the hypothesized relations. Both education/training and IT infrastructure influenced external and internal diffusion of EDI systems. Internal diffusion of EDI enables the adopting firms to improve operational and strategic performance, whereas external diffusion contributes only to operational performance.

• Environmental and Resource Economics Review
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• v.25 no.3
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• pp.377-401
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• 2016

This study analyzes how much cost the power generation and energy sector in South Korea have to bear due to the introduction of emissions trading scheme during 2016 - 2017. To this end, the data on the seventh basic plan for long-term electricity supply and demand is applied to the electricity market simulation model called M-Core, and then the model forecasts carbon dioxide emissions to compare with the free emission allowances in the first national emissions permit allocation plan. The main results are as follows. Carbon dioxide emissions are estimated to be less in 2016 but more than the free emission allowances in 2017. When the price of the allowances is changed from \10,000/ton to \20,000/ton, the cost of purchasing the allowances is ranged from \70 billion to \140 billion. Under the assumption that CO2 cost is incorporated into the variable cost, a reversal of merit order between coal and LNG generation takes place when the price of the allowances exceeds \80,000/ton.

• Environmental and Resource Economics Review
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• v.33 no.1
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• pp.1-32
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• 2024

The emissions trading system stands as a pivotal climate policy in Korea, incentivizing abatement equivalent to 87% of total emissions (as of 2021). As the system likely has a far-reaching impact, it is crucial to understand how the real economic activity, energy sector, as well as environment would be influenced by its implementation. Employing a macroeconometric model, this paper is the first study analyzing the effects of the Korean emissions trading policy. It interconnects the Korean Standard Industrial Classification (Economy), Energy Balance (Energy), and National Inventory Report (Environment), enhancing its real-world explanatory power. We find that a 50% increase in emission permit price over four years results in a decrease in greenhouse gas emissions (-0.043%) and downward shifts in key macroeconomic variables, including real GDP (-0.058%), private consumption (-0.003%), and investment (-0.301%). The price increase in emission permit is deemed crucial for achieving greenhouse gas reduction targets. To mitigate transition risk associated with price shocks, revenue recycling using auction could ensure the sustainability of the economy. This study confirms the comparative advantage of expanded current transfers expenditure over corporate tax reduction, particularly from an economic growth perspective.

• Environmental and Resource Economics Review
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• v.22 no.4
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• pp.785-815
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• 2013

This paper analyzes the three issues related to the effect of environmental regulations on the Korean trades with gravity equation model: the effect on the Korean exports, the bilateral trade flows between the Korea and the trade partners, and the Korean international competitiveness. For all three issues we carried the empirical tests with fixed effect estimation methods for total industries, non-pollution industries, pollution industries, and also 16 individual pollution industries. We use industry panel data for the 120 largest trading countries with Korea for the years 2000-2010. The Environmental Performance Index (EPI) is used as the proxy variable for the environmental regulation. The empirical result shows that while GDPs of both Korea and its trading partners are very important factors affecting positively the Korean trades for all industries, the environmental regulation of the importing country would be a definite trade barrier to the Korean pollution industries, but not a definite one for the non-pollution industries. In addition, the stricter environmental regulations of Korea's trade partners would weaken the Korean international competitiveness of Korean pollution industries. In this regard, the Porter Hypothesis would have not appeared in the Korean trades of pollution industries during the period observed in this study.