• Proceedings of the Technology Innovation Conference
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• 2006.02a
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• pp.207-225
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• 2006

지금까지 기업의 신기술 채택에 관한 연구는 주로 Rank, Epidemic 등으로 대표되는 개별적인 요인을 중심으로 수행되어 왔다. 하지만, 기술 채택은 복잡한 과정을 통해 이루어지기 때문에 개별 요인보다 다양한 요인들이 통합된 모형을 필요로 한다. 이를 위해 에너지관리공단의 온실가스 감축수단 조사사업의 설문조사 데이터를 이용하여, 온실가스 배출량이 가장 큰 발전산업을 중심으로 로짓, 프로빗 모형을 통해 기술 채택 요인에 따른 기술 혁신의 확산을 예측하였다. 그 결과, 기업의 측면에서 기업의 매출액, 목표회수기간, 기술의 인지 여부 등이 유의했고, 기술의 측면에서 기술의 초기비용은 유의했지만 본 연구에서 특별히 관심을 갖고 지켜봤던 이산화탄소 저감률은 유의하지 않았다. 이를 통해서 어떤 기업이 신기술을 더 빨리 채택할 것이며, 어떤 기술이 더 빨리 채택될 것인가를 예측할 수 있었다.

• Proceedings of KOSOMES biannual meeting
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• 2007.05a
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• pp.21-26
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• 2007

The Protocol adopted in Sep. 1997 included the new Annex VI of MARPOL 73/78, which entered into force on 19 May 2005. Revision for the accept MARPOL Annex VI with make public on 29 Dec. 2005 and enforce on 29 Jun. 2006. For all that not installation at oil terminal or if installed do not used. The purpose of this study is to research and evaluate the methods of sampling and analysis, and the pollution measure of existed VOCs during the bulk liquid cargo operation at vessels. As the sampling instrument of VOCs, Tedlar bag has the effect of decrease in concentration by the chemical reaction and absorption, and the method using the solvent extraction has error cause because of the extraction, the absorption tube has error by the breakthrough. But canister is the best sampling instrument because of having no sampling mistake. The study on VOCs emission is not sufficient for the research on the pollution cause and the analysis data on the HAP during the bulk liquid cargo operation at vessels. Hence, monitoring on the management hazardous VOCs need to be continued during the cargo operation at vessels and VOCs management field must be study for the make progress at a good pace for reason of crew's health.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.4D
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• pp.323-330
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• 2010

The time in port for vessels is one of the important factors for analyzing the operation status and the capacity of ports. In addition, the time in port for vessels can be directly used for estimating the greenhouse gas emissions resulted from vessels in port. However, it is unclear which variables can affect the time in port for vessels and what the marginal effect of each variable is. With these challenges in mind, the study analyzes the time in port for vessels arriving and departing port of Busan by using a parametric survival model. The results show that the log-logistic accelerated failure time model is appropriate to explain the time in port for 19,167 vessels arriving and departing port of Busan in 2008, in which the time in port is significantly affected by gross tonnage of vessels, service capacity of terminal, and vessel type. This study also shows that the greenhouse gas emission resulted from full-container vessels, which accounted for about 61% of all vessels with loading/unloading purpose arriving and departing port of Busan in 2008, is about "17 ton/vessel" in the boundary of port of Busan. However, the hotelling greenhouse gas emissions resulted from non-container vessels (3,774 vessels; 20%) are greater than those from the full-container vessels. Hence, it is necessary to take into account more efficient port management polices and technologies to reduce the service time of non-container vessels in port of Busan.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.5
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• pp.1589-1597
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• 2014

For several decades, economic growth has achieved in the aspect of productivity and effectiveness not environmental friendly. As a result, global warming is a major agenda to solve. Therefore, global effort to sustainable development has been adopted like UNFCCC and Kyoto protocol that aimed to reduce greenhouse gas. However, the construction industry has only focused on applying techniques for using less energy sources not monitoring sustainable construction and development. Therefore, this study developed a tool for monitoring greenhouse gas emissions in construction industry. The proposed system evaluates and estimates BAU (Business as usual) for each phase of a construction project. For this purpose, analyzed the greenhouse gas emission factors coincide to life cycle of a construction project. The scope of monitoring is determined according to data availability and emission factor. Then, the system framework is developed and the calculation logic is proposed the system features provide comparison between the emission estimates for eco-friendly design and the actual emission of construction and operation phases. The system would be utilized as a tool for supporting to green construction realization and green construction performance evaluation.

• Environmental and Resource Economics Review
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• v.31 no.2
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• pp.165-204
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• 2022

This study organized data from 2000 to 2014 for 20 grid-connected countries in Europe and analyzed the determinants of carbon emissions through the panel GLS method considering the problem of heteroscedasticity and autocorrelation. At the same time, the effect of introducing ETS was considered by dividing the sample period as of 2005 when the European emission trading system was introduced. Carbon emissions from individual countries were used as dependent variables, and proportion of generation by each source, power self-sufficiency ratio of neighboring countries, power production from resource-holding countries, concentration of power sources, total energy consumption per capita in the industrial sector, tax of electricity, net electricity export per capita, and size of national territory per capita. According to the estimation results, the proportion of nuclear power and renewable energy generation, concentration of power sources, and size of the national territory area per capita had a negative (-) effect on carbon emissions both before and after 2005. On the other hand, the proportion of coal power generation, the power supply and demand rate of neighboring countries, the power production of resource-holding countries, and the total energy consumption per capita in the industrial sector were found to have a positive (+) effect on carbon emissions. In addition, the proportion of gas generation had a negative (-) effect on carbon emissions, and tax of electricity were found to have a positive (+) effect. However, all of these were only significant before 2005. It was found that net electricity export per capita had a negative (-) effect on carbon emissions only after 2005. The results of this study suggest macroscopic strategies to reduce carbon emissions to green growth, suggesting mid- to long-term power mix optimization measures considering the electricity trade market and their role.

• Journal of Climate Change Research
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• v.4 no.1
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• pp.51-61
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• 2013

To address the problems associated with climate change and energy shortage, Korea has been making efforts to turn waste materials into usable energy. Due to the ongoing efforts to convert waste materials into energy, waste incineration is expanding to utilize the heat generated, and the subsequent greenhouse gas emissions from these waste material incineration are expected to increase. In this study, a municipal waste incineration plant that generates heat and electricity through heat recovery was selected as a subject facility. Methods for estimating the greenhouse gas emissions in the municipal waste incineration plant that was selected as a subject plant were sought, and the greenhouse gas emissions and emission factor were estimated. The $CO_2$ concentrations in discharge gas from the subject facility were on average 6.99%, and the result from calculating this into greenhouse gas emissions showed that the total amount of emissions was $254.60ton\;CO_2/day$. The net emissions, excluding the amount of greenhouse gas emitted from biomass incineration, was shown to be $110.59ton\;CO_2/day$. In addition, after estimating the emissions by separating the heat and electricity generated in the incineration facility, greenhouse gas emission factors were calculated using the greenhouse gas emissions produced per each unit of output. The estimated emission factor for heat was found to be $0.047ton\;CO_2/GJ$ and the emission factor for electricity was found to be $0.652ton\;CO_2/MWh$. The estimated emission factor was shown to be about 17% lower than the $0.783ton\;CO_2/MWh$ emission factor for thermal power plants that use fossil fuels. Waste material types and fossil carbon contents were evaluated as being the factors that have major effects on the greenhouse gas emissions and emission factor.

• Environmental and Resource Economics Review
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• v.26 no.2
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• pp.123-138
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• 2017

This study estimates the effect of the Kyoto Protocol on $CO_2$ emissions with a Quandt-Andrews test for detection of structural break with Annex B counties data. The structural break on $CO_2$ emissions took place in 2008 which is 3 year after ratification of the Kyoto Protocol. According to the empirical results, 1% increase in energy consumption leads to 1% and 0.31% increases in income before and after the structural break, respectively. This study also finds the monotonic increase relationship between $CO_2$ emission and income. Regarding to the relationship between renewable energy use and $CO_2$ emissions, 1% increase in renewable energy consumption leads to 0.1% decrease in $CO_2$ emissions until year 2007 and 0.09% decreases after year 2008, respectively. Based on the results of empirical study, we find little evidence of the effect of the Kyoto Protocol on reduction of $CO_2$ emissions for Annex B countries.

• Environmental and Resource Economics Review
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• v.20 no.3
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• pp.531-565
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• 2011

All previous studies analyzing multivariate time series data of EUA (European Union Allowance) price commonly used endogenous variables within the four variables and included the period from April to June of 2006 in the analysis, when the price distortion occurred. This study uses graph theory and structural vector error correction model (SVECM) to analyze the daily time series data of the EUA (European Union Allowance) price. As endogenous variables, five variables are considered for the analysis, including prices of crude oil, natural gas, electricity and coal in addition to carbon price. Data period is Phase 2 period (April 21, 2008 to March 31, 2010) to avoid the EUA price distortion of Phase 1 period (2005~2007). Further, the monthly data including the economic variables as endogenous variables are analyzed.

• Environmental and Resource Economics Review
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• v.14 no.3
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• pp.595-626
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• 2005

The purpose of this paper is to estimate technical efficiency, scale efficiency, and environmental efficiency by income level of Korean farms, and analyze the factors to decide three efficiencies. Depending on the non-parametric methods, we estimate technical using inputs and outputs of total farms without assuming of goods or behavior of optimization. The average technical efficiency of total firms under constant return to scale and strong disposability is 0.437. The technical inefficiency was caused by 47.7% in pure technical inefficiency, 11.3% in scale failure, and 3.2% in environmental inefficiency. The number of firms under increasing return to scale occupied almost 70% and 27% of total firms respectively. Higher are income class, middle debt & long debt per asset, and N effluents per cultural land, higher technical efficiency. The increases of BOD discharges per cultural land and machines per cultural land deteriorate environmental efficiency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.1020-1026
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• 2011

Seasonal characteristics of water soluble ions in atmospheric particles in Cheonan were studied between 2008 and 2009. $Na^+$, $NH_4^+$ and $NO_3^-$, $SO_4^{2-}$ were the principle cations and anions in both coarse and fine particles. Water soluble ions occupied 24.4%(spring), 33.2%(summer), 40.7%(fall), and 39.6%(winter) of the total mass of coarse particles. In fine particles, 43.0%(spring), 59.7%(summer), 55.4%(fall), and 53.2%(winter) of mass were occupied by water soluble ions. From the factor analysis, 2 and 4 factors were extracted for water soluble ions in coarse and fine particles, respectively. 70.33% of water ions in the coarse particles were estimated from the natural source, but 66.01% in the fine particles were from the anthropogenic source.