• Title/Summary/Keyword: 배출요인

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The Effects of ICT on CO2 Emissions Along with Economic Growth, Trade Openness and Financial Development in Korea (ICT가 CO2 배출에 미치는 영향: 경제성장, 무역개방성, 금융발전과의 연관관계하에서 분석)

  • Kim, Suyi
    • Environmental and Resource Economics Review
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    • v.30 no.2
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    • pp.299-323
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    • 2021
  • This study investigated the impact of information and communication technology (ICT), trade openness, financial development, and economic growth on CO2 emissions in Korea from 1990 to 2016. The cointegration relationship of the variables was confirmed by an autoregressive distributed lag (ARDL) bounds test. In the long-run, economic growth was statistically significant factor in the increase in CO2 emissions, while other factors, as well as ICT, did not significant factors in the changes in CO2 emissions. In the long-run, a link between economic growth and CO2 emissions has been confirmed, but other factors, including ICT, have not been able to confirm the link between CO2 emissions in the long-run. Meanwhile, in the short-run, economic growth and ICT increased CO2 emissions, and financial development led to a decrease in CO2 emissions. Trade openness did not have a significant effect on CO2 emissions in the short-run as in the long-run. In particular, ICT did not contribute to the reduction of CO2 emissions in the short-run as well as the long-run. In order to induce CO2 mitigation through ICT, the development and deployment of technology that efficiently save energy by using ICT should be further promoted.

Case Study on Induced Seismicity during the Injection of Fluid Related to Energy Development Technologies (에너지개발기술에 있어 유체주입에 따른 유발지진 발생 사례분석)

  • Lee, Chung-In;Min, Ki-Bok;Kim, Kwang-Il
    • Tunnel and Underground Space
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    • v.24 no.6
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    • pp.418-429
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    • 2014
  • Induced seismicity related to four energy development technologies that involve fluid injection or withdrawal: geothermal energy, conventional oil and gas development including enhanced oil recovery (EOR), shale gas recovery, and carbon capture and storage (CCS) is reviewed by literature investigation. The largest induced seismic events reported in the technical literature are associated with projects that did not balance the large volume of fluids injected into, or extracted from the underground reservoir. A statistical observation shows that the net volume of fluid injected and/or extracted may serve as a proxy for changes in subsurface stress conditions and pore pressure, and other factors. Energy technology projects that are designed to maintain a balance between the amount of fluid being injected and the amount of fluid being withdrawn, such as geothermal and most oil and gas development, may produce fewer induced seismic events than technologies that do not maintain fluid balance, such as long-term wastewater disposal wells and CCS projects.

Development of Greenhouse Gas Estimation Method for a Local Government Level Using Traffic Demand Model

  • Maurillo, Pennie Rose Anne R.;Jung, Hyeon-Ji;Lee, Seon-Ha;Ha, Dong-Ik
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.3
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    • pp.114-128
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    • 2013
  • Greenhouse gas emissions have been an important issue in different countries because of their effects on global warming. The government has to organize greenhouse gas reduction measures suitable to regional characteristics by establishing annual implementation plans and comprehensive policies based on the UNFCCC. The transportation sector is one of the major contributors of air pollution; hence increasing need to estimate current and future traffic emissions precisely. Under these circumstances, a number of emission models have been developed recently. However, current methods of estimation cannot carry out effective analyses because it does not reflect vehicle movement characteristics. This study aims to present a new method for calculating road traffic emissions in Goyang city. A travel demand model is utilized to carry out GHG emission estimates according the traffic data (fleet composition, vehicle kilometers travelled, traffic intensity, road type, emission factors and speed). This study evaluates two approaches to estimate the road traffic emissions in Goyang City: Pollution-Emis and the Handbook of Emission Factors for Road Transport (HBEFA v.3.1) which is representative of the "average speed" and the "traffic situation" model types. The evaluation of results shows that the proposed emission estimation method may be a good practice if vigilant implementation of model inputs is observed.

Analytical Model for Predicting Degassing Pressure of the One Way Valve with Ring Type Rubber Disk for Packaging (포장용 링타입 고무막 One-way 밸브의 가스배출압력 예측을 위한 수학적 분석 모델)

  • Oh, Jae Young;Lee, Jin Yong;Yu, Ha Kyoung
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.22 no.2
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    • pp.33-37
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    • 2016
  • One-way degassing valves usually designed for coffee packaging are recently applied to the various food packaging such as fermented health functional food or home meal replacement (HMR) packaging. The optimized degassing pressure by food product is important factor for keeping effective freshness and improving preservation of the food, therefore the development of degassing valves specified with various open pressure is needed. In this study, the mechanical characteristics of the degassing valve with ring type rubber disk were analyzed and a mathematical model was developed to predict the open pressure of the valve. The model was verified with test results derived from several available valves, and it may be useful in designing and developing a new valve.

이산·연속선택모형을 이용한 친환경자동차에 대한 지원정책이 에너지 소비와 CO2 배출에 미치는 영향 분석

  • Gwon, O-Sang;Kim, Yong-Geon;Jeong, Jae-Ho
    • Environmental and Resource Economics Review
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    • v.21 no.2
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    • pp.237-269
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    • 2012
  • This study applies a discrete-continuous choice model to a national survey data set of automobile uses to investigate the potential impacts of a bonus-malus system for new cars in Korea. Not only the impacts on the discrete choice of automobile type and class but also those on the continuous decision making of car operation are analyzed. The characteristics of automobiles and individuals that determine car choice and operation are identified. The simulation based on the estimation result shows that an appropriately designed bonus-malus system can induce a reduction in energy consumption and $CO_2$ emission substantially without additional government expenditure.

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Learning-by-doing Effect on Price Determination System in Korea's Emission Trading Scheme (한국 탄소배출권시장 가격결정체계의 학습효과 연구)

  • Son, Donghee;Jeon, Yongil
    • Environmental and Resource Economics Review
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    • v.27 no.4
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    • pp.667-694
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    • 2018
  • We analyze the learning-by-doing effects of the allowance pricing system on the Korea's emission trading scheme. The price of allowance (Korean Allowance Unit) is influenced differently by internal market factors and economic conditions variables in the first (January 2015 to June 2016 ) and the second commitment year(January 2016 to June 2017). The prices and transaction volumes of complementary credits (KCU and KOC) as well as economic conditions variables (such as call rate, exchange rate, stock price) are statistically significant only for the second commitment year. Thus, the learning-by-doing effect makes the market participation decision on K-ETS market more efficient in the second commitment year, adopting the previous experience and knowledge in the K-ETS market. The factors estimated significantly in both commitment periods include the institutional binary variable for requiring the submission of the emissions verification reports issued both on February and March.

Calculation and Projection of Greenhouse Gas Emissions from La Chureca Landfill in Managua, Nicaragua (니카라과 마나과시 La Chureca 매립장 온실가스 발생량 산정 및 예측)

  • Kim, Choong Gon;Lee, Hyun Jun;Kang, Ho Jeung;Kim, Jae Young
    • Journal of the Korea Organic Resources Recycling Association
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    • v.30 no.4
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    • pp.131-139
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    • 2022
  • The aim of this study was to assess the feasibility of a landfill project to reduce greenhouse gas (GHG) from La Chureca Landfill in Managua, Nicaragua ("Project"). The feasibility study involved surveying the status and composition of waste on its way in to the landfill and projecting GHG emissions from the landfill. A projection of the GHG emissions with the IPCC model based on the survey results indicated the period 2006 to 2043 would see mean yearly GHG emissions of 290,147 ton-CO2/year with model certainty not considered, and 217,610 ton-CO2/year with model certainty considered. Thus, the result exceeded the corresponding median and mean values of other CDM projects implemented in Central America, even after model uncertainty was considered together with the conservative estimation of carbon capture efficiency. The similar result was produced even with an analysis of sensitivity to error factors. All the findings of the study are expected to be applicable as basic data for deciding about whether & how to proceed with the Project.

An e-SAM Approach to the Analysis of Energy Consumption and CO2 Emissions in Korean Industry (환경사회계정행렬(e-SAM)을 이용한 산업활동의 환경 파급효과 분석)

  • Park, Chang-Gui;Lee, Kihoon
    • 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.

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Decomposition Analysis of Energy Consumption and GHG Emissions by Industry Classification for Korea's GHG Reduction Targets (감축목표 업종 분류체계에 따른 산업부문의 에너지 소비 및 온실가스 배출 요인 분해 분석)

  • Park, Nyun-Bae;Shim, SungHee
    • Environmental and Resource Economics Review
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    • v.24 no.1
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    • pp.189-224
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    • 2015
  • To meet sectoral emission target by 2020 and prepare for the emission trading scheme from 2015, decomposition analysis of energy consumption and GHG emission is required by 18 subsectors in industry sector where emission targets are established. Log Mean Divisia Index decomposition method was used to analyze factors' effects on energy and emission in the industry sector and by 18 subsectors from 2004 to 2011. Industrial energy consumption was increased due to the production effect and energy intensity effect. However structure effect contributes to the decrease of energy consumption. In terms of emissions (including indirect emission due to electricity consumption) in the industry sector, only structure effect contributed to the emission reduction. Factors' effects by subsectors were different. Cement industry, which is included at Nonmetal shows different results from those of Nonmetal industry and machinery industry, which is a subsector of Fabricated Metal, was also similar. In this regard, we should not apply the policy implications from decomposition analysis of aggregated industry such as Nonmetal or Fabricated Metal to its subsectors uniformly and develop a differentiated policy for each subsector industry.

An Analysis of Food Waste Generation of Residents and Food Waste Resources in Multifamily Housing (음식물쓰레기 자원화를 위한 공동주택 거주자의 음식물쓰레기 배출량 및 자원화 의향에 관한 분석)

  • Oh, Jeong-Ik;Lee, Hyun-Jeong;Seok, Hee-Jean
    • Journal of Korean Society of Environmental Engineers
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    • v.32 no.10
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    • pp.905-915
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    • 2010
  • With rising food waste, the management activities have gained growing attention, and the disposal options, particularly utilization of food waste for energy recovery, become central. This research examines the factors affecting food waste generation and the tendency to resource food waste. The self-administered questionnaire survey was conducted in newly built multifamily housing estates to collect data, and 300 responses were analyzed. The statistical analysis showed that most of the respondents purchased food materials in largely franchised grocery stores and discarded food that had been too long refrigerated to edible. The lifecycle of food consumption was divided into three states - food purchase plan, cooking and food waste collection. Regression analysis was employed to find out the relationships between three stages and food waste generation or tendency to resource food waste. The results described that food waste generation being affected by the stage of food purchase plan (food waste removal conditions) was statistically significant while it's statistically significant that the stage of cooking (prepurchase considerations) influenced the attitude toward food waste resource. The research findings indicated that food is overconsumed, and further many viewed food waste resources as a proactive and integrative mode in the global wave of sustainability.