• Title/Summary/Keyword: 배출 요인

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OECD 국가의 이산화탄소 배출량 분해분석

  • Kim, Gwang-Uk;Gang, Sang-Mok
    • Environmental and Resource Economics Review
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    • v.21 no.2
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    • pp.211-235
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    • 2012
  • This paper presents an alternative decomposition technique to identify the relative importance of factors associated with changes in $CO_2$ emissions by using directional distance function to model the joint production of desirable and undesirable outputs. The key feature of the proposed approach is the introduction of fossil and non-fossil fuel energy input efficiencies, productivity change and emission intensity change. For the 27 OECD countries as a whole, the empirical results indicate that economic growth is the most important contributor to $CO_2$ emissions increase, while efficiency change is the most important component to $CO_2$ emissions reduction between 1980 and 2007. For more extensive insights, this paper divided 3 groups according to the emission growth rate and find out that high emission countries show relatively low production efficiencies and technical changes contributing $CO_2$ emissions increase. The results also provide that more strict environmental regulations are needed to improve the pollution intensity in these countries.

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Analysis on Price Driver of Spread and Different Patterns of EUA and sCER (탄소배출권 EUA와 sCER의 가격 차이 패턴 및 스프레드(Spread) 결정 요인 분석)

  • Park, Soonchul;Cho, Yongsung
    • Environmental and Resource Economics Review
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    • v.22 no.4
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    • pp.759-784
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    • 2013
  • Participants can use the allowances and offsets for implementing the compliance in the Emissions Trading Scheme(ETS). There are alternative commodities which are different prices it gives the opportunities to reduce the compliance costs and get the arbitrage. This study analyzes the price driver of spread which is the difference between EUA and sCER using AR-GARCH model, EUA and CER during the Phase 2 in EU ETS. The results show that there are common elements which impacts the EUA and sCER and also different elements between them. EUA and sCER get the effects from energy price and economic criteria such as coal price and financial crisis as common elements. However them get the effects from electric price, policy criteria such as restricted CERs and difference price between EUA and ERU price as different elements. The results shows that spread will be widen if energy price increase, especially oil and electric price give more impacts the spreads. This study has the means that it explains the reason why the spreads will broaden sharply in 2012. And it also suggests the price driver of spread during the whole period of Phase 2. In addition, this study shows that political aspects maybe become the main criteria of price change with structural elements shch as energy price in Korea ETS which starts in 2015.

Development of Causal Map for Greenhouse Gas Emission in Construction (건설공사의 온실가스 배출 요인 인과지도 개발)

  • Bae, Jin-Hee;Park, Hee-Sung
    • Proceedings of the Korea Contents Association Conference
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    • 2012.05a
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    • pp.109-110
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    • 2012
  • 최근 지구온난화로 인한 환경 문제의 심각성이 증가하고 있다. 이에 전 산업 부문에서 지구온난화에 가장 큰 영향을 미치는 온실가스 배출량에 대한 규제를 강화하고 있다. 건설 산업에서도 온실가스 저감 대책으로 친환경 에너지 개발, 친환경 건축물 인증제도등 녹색기술의 활동이 활발히 진행 중에 있다. 그러나 이러한 활발한 연구와 노력에도 불구하고 건설공사의 각 단계별 과정에 따른 온실가스 배출량과의 이해관계를 파악하기에는 어려움이 있다. 따라서, 본 논문은 기존 연구문헌을 조사하여 건설공사 과정을 원자재 생산, 시공, 유지 및 관리, 해체 및 재활용의 단계로 구분하여, 건설공사의 각 단계에서 온실가스 배출량에 영향을 미치는 요인을 도출하고, 시스템 다이내믹스의 인과지도 작성을 통하여 온실가스 배출 원인을 분석하였다.

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The Analysis of Carbon Emission Efficiency and Affecting Factors in China (중국의 지역별 탄소배출 효율성 추정 및 영향요인 분석)

  • Pan, Chi;Min, Dongki
    • Environmental and Resource Economics Review
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    • v.26 no.2
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    • pp.205-227
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    • 2017
  • Today, the global environment has so many serious problems such as global warming, ecological destruction and air pollution. Now China is the second largest carbon emissions country in the world. In this paper, we estimated the ratio of GDP per unit of carbon emissions for each of 30 provinces in China, and then also estimated the carbon emission efficiency of 30 provinces and analyzed the factors that affecting them. There are differences in carbon emission efficiency among different provinces, and carbon emission efficiency is relatively high in Hainan Province, Beijing, and Tianjin. In the regression results of the factors affecting the carbon emission efficiency, when the proportion of service industries is higher, the efficiency is higher. Also, when the higher the proportion of heavy industry and the higher the proportion of coal consumption are estimated to be worse.

Evaluation of N2O Emissions by Nutrient Source in Soybean and Pepper Fields (콩과 고추재배지에서 양분 공급원별 N2O 배출량 평가)

  • Kim, Gun-Yeob;Lee, Sun-Il;Lee, Jong-Sik;Jeong, Hyun-Cheol;Choi, Eun-Jung
    • Korean Journal of Environmental Biology
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    • v.36 no.4
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    • pp.680-686
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    • 2018
  • Nitrogen fertilizers, hairy vetch, and slow-release complex fertilizers were applied to the soil during the cultivation of crops. The impact of these factors on $N_2O$ emission was quantitatively assessed and the GHGs reduction effect comprehensively evaluated. Among the three factors, the significant factors affecting $N_2O$ emission were mineral nitrogen>soil moisture>temperature. Yield and fertilizer utilization efficiency were highest in the slow-release complex fertilizer treatment. There was no significant difference in $N_2O$ emissions between the slow-release complex fertilizer treatments and the NPK+hairy vetch treatments. Comprehensive results showed that slow-release complex fertilizers treatment has high yield and fertilizer utilization efficiency but low $N_2O$ emission.

The Impact of Urban Characteristics on Carbon Emissions of Buildings in Seoul: Application of Spatial Regression Analysis (도시특성이 건축물의 탄소배출에 미치는 영향에 관한 연구: 서울시 424개 행정동에 대한 공간회귀분석의 적용)

  • Hang Hun Jo;Heung Soon Kim
    • Land and Housing Review
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    • v.14 no.3
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    • pp.77-92
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    • 2023
  • The aim of the study is to analyze urban characteristics that affect carbon emissions of buildings. The analysis was conducted at the level of 424 administrative districts in Seoul. The main variables used in the analysis were energy consumption and carbon emissions of buildings published in the Seoul Metropolitan Government's energy information platform 2021. It was found that carbon emissions per unit building were high in Jongno, Gangnam, Guro, and Mok-dong. A regression analysis using the spatial lag model (SLM) identifies that the variables that affect the carbon emissions of buildings were; commercial, educational, business and industrial facility variables as built environment factor; number of residents; traffic volume, number of bus routes and number of subway stations as transportation facilities factors; and environmental factors such as green area and river area.

Decomposition Analysis of the Reduction in CO2 Emissions from Seven OECD Countries (OECD 7개 국가의 CO2 배출량 감소요인 분해 분석)

  • Cho, Hyangsuk
    • Environmental and Resource Economics Review
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    • v.26 no.1
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    • pp.1-35
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    • 2017
  • This study investigates a decomposition analysis of the determinants of the reduced $CO_2$ emissions in seven OECD countries that implemented carbon taxes from 1995 to 2013. Recent studies on decomposition analysis of changes in $CO_2$ emissions focused on technology-based physical factors; however, this study analyzes the effects of a carbon tax as an economic factor. According to the results obtained by using the Log Mean Divisia Index, the energy intensity effect and the carbon tax effect contributed the most towards the reduction of total $CO_2$ emissions in the seven OECD countries. The results for each country show that the emissions decreased due to the energy intensity effect, while the effects of carbon tax and carbon tax revenues differed by policy and environment of the countries.

Regional Disparity and Its determinants of $CO_2$ Emissions from Residential Energy Consumption in China (주거 에너지 소비에 따른 이산화탄소 배출량의 지역 격차와 격차요인 분석 -중국의 성(省)급을 대상으로 하여-)

  • Li, Shun Cheng;Lee, Hee Yeon
    • Journal of the Economic Geographical Society of Korea
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    • v.16 no.2
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    • pp.149-166
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    • 2013
  • The purpose of this study is to analyze the regional disparity and its determinants of $CO_2$ emission from the residential energy consumption in China. This study examines factors that affect the $CO_2$ emission per capita using the panel model. The panel model was set by a balanced panel data for 30 provinces and for the period of 2006~2011. $CO_2$ emission per capita is used as the dependent variable and characteristics of the household and regional physical environmental factors are selected as the explanatory variables. The important findings can be summarized as follows. $CO_2$ emission per capita is influenced by the ratio of the graduate students, household size, the ratio of the old-aged, female economic participation rate. High residential density is negatively affected on $CO_2$ emission. The findings suggest that the effect of policies reducing $CO_2$ emission per capita may vary by characteristics of the household, energy sources and regional climate. The results of this empirical study give some implications to reduce the residential energy consumption in the era of climate change.

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Accounting for Early Action with Consideration of Energy Efficiency Improvements (에너지효율개선을 고려한 온실가스 감축 조기행동 인정방안)

  • Kim, Changseob
    • Journal of Energy Engineering
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    • v.23 no.2
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    • pp.158-169
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    • 2014
  • In the context of $CO_2$ mitigation, how early reduction action taken by individual companies previous to the actual regulated period is implemented at the free allocation process, remains one of the major issues. This article considered efficiency factor as a criterion for the early action. Then the emissions allowance allocated was compared and analyzed with and without the consideration of early action. In the cases of manufacturing sectors of Korea for the period 2001~2009, it is shown that emissions in the all industries fell by their efficiency factors. The amounts of emissions allowance allocated to the all industries except petro-chemistry are increased when EA is counted in the allocation process.

Estimation of the Greenhouse Gas Emission from Transport by the Tier 2-3 Method (Tier 2-3 수준의 수송부문 온실가스 배출량 추정(2000))

  • 최상진;김호정;홍영실;장영기
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2003.11a
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    • pp.217-218
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    • 2003
  • 지구의 기후변화는 자연, 인위적인 요인 모두에 의해서 발생되지만 UN IPCC는 "인간의 활동에 의해 발생되는 온실가스가 자연적인 기후변화에 단독으로 미치는 영향보다도 복합적으로 작용하여 현재보다 휠 씬 더 지구온난화 등 기후변화를 가속화시키고 있다"고 하여 인위적인 요인의 중요성을 시사하고 있으며, 인위적 온실가스 배출량의 상당부분은 에너지산업, 제조/건설업, 수송 등의 연료연소부문에서 기인하고 있다. (중략)

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