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emissions</title> <meta name="description" content="Search results for: non-tailpipe emissions"> <meta name="keywords" content="non-tailpipe emissions"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="non-tailpipe emissions"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 1389</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: non-tailpipe emissions</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1389</span> Calculation of Methane Emissions from Wetlands in Slovakia via IPCC Methodology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jozef%20Mindas">Jozef Mindas</a>, <a href="https://publications.waset.org/abstracts/search?q=Jana%20Skvareninova"> Jana Skvareninova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wetlands are a main natural source of methane emissions, but they also represent the important biodiversity reservoirs in the landscape. There are about 26 thousands hectares of wetlands in Slovakia identified via the wetlands monitoring program. Created database of wetlands in Slovakia allows to analyze several ecological processes including also the methane emissions estimate. Based on the information from the database, the first estimate of the methane emissions from wetlands in Slovakia has been done. The IPCC methodology (Tier 1 approach) has been used with proposed emission factors for the ice-free period derived from the climatic data. The highest methane emissions of nearly 550 Gg are associated with the category of fens. Almost 11 Gg of methane is emitted from bogs, and emissions from flooded lands represent less than 8 Gg. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bogs" title="bogs">bogs</a>, <a href="https://publications.waset.org/abstracts/search?q=methane%20emissions" title=" methane emissions"> methane emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=Slovakia" title=" Slovakia"> Slovakia</a>, <a href="https://publications.waset.org/abstracts/search?q=wetlands" title=" wetlands"> wetlands</a> </p> <a href="https://publications.waset.org/abstracts/52427/calculation-of-methane-emissions-from-wetlands-in-slovakia-via-ipcc-methodology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52427.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">284</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1388</span> Analysis of the CO2 Emissions of Public Passenger Transport in Tianjin City of China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tao%20Zhao">Tao Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Xianshuo%20Xu"> Xianshuo Xu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Low-carbon public passenger transport is an important part of low carbon city. The CO<sub>2</sub> emissions of public passenger transport in Tianjin from 1995 to 2010 are estimated with IPCC CO<sub>2</sub> counting method, which shows that the total CO<sub>2</sub> emissions of Tianjin public passenger transport have gradually become stable at 1,425.1 thousand tons. And then the CO<sub>2</sub> emissions of the buses, taxies, and rail transits are calculated respectively. A CO<sub>2</sub> emission of 829.9 thousand tons makes taxies become the largest CO<sub>2</sub> emissions source among the public passenger transport in Tianjin. Combining with passenger volume, this paper analyzes the CO<sub>2</sub> emissions proportion of the buses, taxies, and rail transits compare the passenger transport rate with the proportion of CO<sub>2</sub> emissions, as well as the CO<sub>2</sub> emissions change of per 10,000 people. The passenger volume proportion of bus among the three public means of transport is 72.62% which is much higher than its CO<sub>2</sub> emissions proportion of 36.01%, with the minimum number of CO<sub>2</sub> emissions per 10,000 people of 4.90 tons. The countermeasures to reduce CO<sub>2</sub> emissions of public passenger transport in Tianjin are to develop rail transit, update vehicles and use alternative fuel vehicles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=public%20passenger%20transport" title="public passenger transport">public passenger transport</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20emissions" title=" carbon emissions"> carbon emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=countermeasures" title=" countermeasures"> countermeasures</a>, <a href="https://publications.waset.org/abstracts/search?q=China" title=" China"> China</a> </p> <a href="https://publications.waset.org/abstracts/26131/analysis-of-the-co2-emissions-of-public-passenger-transport-in-tianjin-city-of-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26131.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">429</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1387</span> Investigation of Main Operating Parameters Affecting Gas Turbine Efficiency and Gas Releases</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Farhat%20Hajer">Farhat Hajer</a>, <a href="https://publications.waset.org/abstracts/search?q=Khir%20Tahar"> Khir Tahar</a>, <a href="https://publications.waset.org/abstracts/search?q=Ammar%20Ben%20Brahim"> Ammar Ben Brahim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This work presents a study on the influence of the main operating variables on the gas turbine cycle. A numerical simulation of a gas turbine cycle is performed for a real net power of 100 MW. A calculation code is developed using EES software. The operating variables are taken in conformity with the local environmental conditions adopted by the Tunisian Society of Electricity and Gas. Results show that the increase of ambient temperature leads to an increase of Tpz and NO<sub>x</sub> emissions rate and a decrease of cycle efficiency and UHC emissions. The CO emissions decrease with the raise of residence time, while NO<sub>x</sub> emissions rate increases and UHC emissions rate decreases. Furthermore, both of cycle efficiency and NOx emissions increase with the increase of the pressure ratio. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carbon%20monoxide" title="Carbon monoxide">Carbon monoxide</a>, <a href="https://publications.waset.org/abstracts/search?q=Efficiency" title=" Efficiency"> Efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=Emissions" title=" Emissions"> Emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=Gas%20Turbine" title=" Gas Turbine"> Gas Turbine</a>, <a href="https://publications.waset.org/abstracts/search?q=Nox" title=" Nox"> Nox</a>, <a href="https://publications.waset.org/abstracts/search?q=UHC" title=" UHC"> UHC</a> </p> <a href="https://publications.waset.org/abstracts/69221/investigation-of-main-operating-parameters-affecting-gas-turbine-efficiency-and-gas-releases" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69221.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">437</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1386</span> Evaluation of the Impact of Pavement Roughness on Vehicle Emissions by HDM-4</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Azhar">Muhammad Azhar</a>, <a href="https://publications.waset.org/abstracts/search?q=Arshad%20Hussain"> Arshad Hussain</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vehicular emissions have increased in recent years due to rapid growth in world traffic resulting in an increase in associated problems such as air pollution and climate change, therefore it’s necessary to control vehicle emissions. This study looks at the effect of road maintenance on vehicle emissions. The Highway Development and Management Tool (HDM-4) was used to find the effect of road maintenance on vehicle emissions. Key data collected were traffic volume and composition, vehicle characteristics, pavement characteristics and climate data of the study area. Two options were analysed using the HDM-4 software; the base case or do nothing while the second is overlay maintenance. The study also showed a strong correlation between average roughness and yearly emission levels in both the alternatives. Finally, the study showed that proper maintenance reduces the roughness and emissions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vehicle%20emissions" title="vehicle emissions">vehicle emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20roughness" title=" road roughness"> road roughness</a>, <a href="https://publications.waset.org/abstracts/search?q=IRI" title=" IRI"> IRI</a>, <a href="https://publications.waset.org/abstracts/search?q=maintenance" title=" maintenance"> maintenance</a>, <a href="https://publications.waset.org/abstracts/search?q=HDM-4" title=" HDM-4"> HDM-4</a>, <a href="https://publications.waset.org/abstracts/search?q=CO2" title=" CO2"> CO2</a> </p> <a href="https://publications.waset.org/abstracts/91331/evaluation-of-the-impact-of-pavement-roughness-on-vehicle-emissions-by-hdm-4" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91331.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">265</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1385</span> Assessment and Prediction of Vehicular Emissions in Commonwealth Avenue, Quezon City at Various Policy and Technology Scenarios Using Simple Interactive Model (SIM-Air)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ria%20M.%20Caramoan">Ria M. Caramoan</a>, <a href="https://publications.waset.org/abstracts/search?q=Analiza%20P.%20Rollon"> Analiza P. Rollon</a>, <a href="https://publications.waset.org/abstracts/search?q=Karl%20N.%20Vergel"> Karl N. Vergel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Simple Interactive Models for Better Air Quality (SIM-air) is an integrated approach model that allows the available information to support the integrated urban air quality management. This study utilized the vehicular air pollution information system module of SIM-air for the assessment of vehicular emissions in Commonwealth Avenue, Quezon City, Philippines. The main objective of the study is to assess and predict the contribution of different types of vehicles to the vehicular emissions in terms of PM₁₀, SOₓ, and NOₓ at different policy and technology scenarios. For the base year 2017, the results show vehicular emissions of 735.46 tons of PM₁₀, 108.90 tons of SOₓ, and 2,101.11 tons of NOₓ. Motorcycle is the major source of particulates contributing about 52% of the PM₁₀ emissions. Meanwhile, Public Utility Jeepneys contribute 27% of SOₓ emissions and private cars using gasoline contribute 39% of NOₓ emissions. Ambient air quality monitoring was also conducted in the study area for the standard parameters of PM₁₀, S0₂, and NO₂. Results show an average of 88.11 µg/Ncm, 47.41 µg/Ncm and 22.54 µg/Ncm for PM₁₀, N0₂, and SO₂, respectively, all were within the DENR National Ambient Air Quality Guideline Values. Future emissions of PM₁₀, NOₓ, and SOₓ are estimated at different scenarios. Results show that in the year 2030, PM₁₀ emissions will be increased by 186.2%. NOₓ emissions and SOₓ emissions will also be increased by 38.9% and 5.5%, without the implementation of the scenarios. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ambient%20air%20quality" title="ambient air quality">ambient air quality</a>, <a href="https://publications.waset.org/abstracts/search?q=emissions%20inventory" title=" emissions inventory"> emissions inventory</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20air%20pollution" title=" mobile air pollution"> mobile air pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicular%20emissions" title=" vehicular emissions"> vehicular emissions</a> </p> <a href="https://publications.waset.org/abstracts/111215/assessment-and-prediction-of-vehicular-emissions-in-commonwealth-avenue-quezon-city-at-various-policy-and-technology-scenarios-using-simple-interactive-model-sim-air" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111215.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">137</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1384</span> Energy Related Carbon Dioxide Emissions in Pakistan: A Decomposition Analysis Using LMDI </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arsalan%20Khan">Arsalan Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Faisal%20Jamil"> Faisal Jamil</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The unprecedented increase in anthropogenic gases in recent decades has led to climatic changes worldwide. CO2 emissions are the most important factors responsible for greenhouse gases concentrations. This study decomposes the changes in overall CO2 emissions in Pakistan for the period 1990-2012 using Log Mean Divisia Index (LMDI). LMDI enables to decompose the changes in CO2 emissions into five factors namely; activity effect, structural effect, intensity effect, fuel-mix effect, and emissions factor effect. This paper confirms an upward trend of overall emissions level of the country during the period. The study finds that activity effect, structural effect and intensity effect are the three major factors responsible for the changes in overall CO2 emissions in Pakistan with activity effect as the largest contributor to overall changes in the emissions level. The structural effect is also adding to CO2 emissions, which indicates that the economic activity is shifting towards more energy-intensive sectors. However, intensity effect has negative sign representing energy efficiency gains, which indicate a good relationship between the economy and environment. The findings suggest that policy makers should encourage the diversification of the output level towards more energy efficient sub-sectors of the economy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title="energy consumption">energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=CO2%20emissions" title=" CO2 emissions"> CO2 emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=decomposition%20analysis" title=" decomposition analysis"> decomposition analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=LMDI" title=" LMDI"> LMDI</a>, <a href="https://publications.waset.org/abstracts/search?q=intensity%20effect" title=" intensity effect "> intensity effect </a> </p> <a href="https://publications.waset.org/abstracts/40962/energy-related-carbon-dioxide-emissions-in-pakistan-a-decomposition-analysis-using-lmdi" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40962.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">398</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1383</span> A Study of Carbon Emissions during Building Construction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jonggeon%20Lee">Jonggeon Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Sungho%20Tae"> Sungho Tae</a>, <a href="https://publications.waset.org/abstracts/search?q=Sungjoon%20Suk"> Sungjoon Suk</a>, <a href="https://publications.waset.org/abstracts/search?q=Keunhyeok%20Yang"> Keunhyeok Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=George%20Ford"> George Ford</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20E.%20Smith"> Michael E. Smith</a>, <a href="https://publications.waset.org/abstracts/search?q=Omidreza%20Shoghli"> Omidreza Shoghli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, research to reduce carbon emissions through quantitative assessment of building life cycle carbon emissions has been performed as it relates to the construction industry. However, most research efforts related to building carbon emissions assessment have been focused on evaluation during the operational phase of a building’s life span. Few comprehensive studies of the carbon emissions during a building’s construction phase have been performed. The purpose of this study is to propose an assessment method that quantitatively evaluates the carbon emissions of buildings during the construction phase. The study analysed the amount of carbon emissions produced by 17 construction trades, and selected four construction trades that result in high levels of carbon emissions: reinforced concrete work; sheathing work; foundation work; and form work. Building materials, and construction and transport equipment used for the selected construction trades were identified, and carbon emissions produced by the identified materials and equipment were calculated for these four construction trades. The energy consumption of construction and transport equipment was calculated by analysing fuel efficiency and equipment productivity rates. The combination of the expected levels of carbon emissions associated with the utilization of building materials and construction equipment provides means for estimating the quantity of carbon emissions related to the construction phase of a building’s life cycle. The proposed carbon emissions assessment method was validated by case studies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=building%20construction%20phase" title="building construction phase">building construction phase</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20emissions%20assessment" title=" carbon emissions assessment"> carbon emissions assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=building%20life%20cycle" title=" building life cycle "> building life cycle </a> </p> <a href="https://publications.waset.org/abstracts/29496/a-study-of-carbon-emissions-during-building-construction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29496.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">751</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1382</span> Framework Development of Carbon Management Software Tool in Sustainable Supply Chain Management of Indian Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sarbjit%20Singh">Sarbjit Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This framework development explored the status of GSCM in manufacturing SMEs and concluded that there was a significant gap w.r.t carbon emissions measurement in the supply chain activities. The measurement of carbon emissions within supply chains is important green initiative toward its reduction. The majority of the SMEs were facing the problem to quantify the green house gas emissions in its supply chain & to make it a low carbon supply chain or GSCM. Thus, the carbon management initiatives were amalgamated with the supply chain activities in order to measure and reduce the carbon emissions, confirming the GHG protocol scopes. Henceforth, it covers the development of carbon management software (CMS) tool to quantify carbon emissions for effective carbon management. This tool is cheap and easy to use for the industries for the management of their carbon emissions within the supply chain. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=w.r.t%20carbon%20emissions" title="w.r.t carbon emissions">w.r.t carbon emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20management%20software" title=" carbon management software"> carbon management software</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20management" title=" supply chain management"> supply chain management</a>, <a href="https://publications.waset.org/abstracts/search?q=Indian%20Industry" title=" Indian Industry"> Indian Industry</a> </p> <a href="https://publications.waset.org/abstracts/3784/framework-development-of-carbon-management-software-tool-in-sustainable-supply-chain-management-of-indian-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3784.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">469</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1381</span> Trade Liberalisation and South Africa’s CO2 Emissions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Marcel%20Kohler">Marcel Kohler</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The effect of trade liberalization on environmental conditions has yielded a great deal of debate in the current energy economics literature. Although research on the relationship between income growth and CO2 emissions is not new in South Africa, few studies address the role that South Africa’s foreign trade plays in this context. This paper undertakes to investigate empirically the impact of South Africa’s foreign trade reforms over the last four decades on its energy consumption and CO2 emissions by taking into account not only the direct effect of trade on each, but also its indirect effect through income induced growth. Using co integration techniques we attempt to disentangle the long and short-run relationship between trade openness, income per capita and energy consumption and CO2 emissions in South Africa. The preliminary results of this study find support for a positive bi-directional relationship between output and CO2 emissions, as well as between trade openness and CO2. This evidence confirms the expectation that as the South African economy opens up to foreign trade and experiences growth in per capita income, the countries CO2 emissions will increase. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=trade%20openness" title="trade openness">trade openness</a>, <a href="https://publications.waset.org/abstracts/search?q=CO2%20emissions" title=" CO2 emissions"> CO2 emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=cointegration" title=" cointegration"> cointegration</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20Africa" title=" South Africa"> South Africa</a> </p> <a href="https://publications.waset.org/abstracts/15404/trade-liberalisation-and-south-africas-co2-emissions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15404.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">408</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1380</span> Estimate Robert Gordon University's Scope Three Emissions by Nearest Neighbor Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nayak%20Amar">Nayak Amar</a>, <a href="https://publications.waset.org/abstracts/search?q=Turner%20Naomi"> Turner Naomi</a>, <a href="https://publications.waset.org/abstracts/search?q=Gobina%20Edward"> Gobina Edward</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Scottish Higher Education Institutes must report their scope 1 & 2 emissions, whereas reporting scope 3 is optional. Scope 3 is indirect emissions which embodies a significant component of total carbon footprint and therefore it is important to record, measure and report it accurately. Robert Gordon University (RGU) reported only business travel, grid transmission and distribution, water supply and transport, and recycling scope 3 emissions. This study estimates the RGUs total scope 3 emissions by comparing it with a similar HEI in scale. The scope 3 emission reporting of sixteen Scottish HEI was studied. Glasgow Caledonian University was identified as the nearest neighbour by comparing its students' full time equivalent, staff full time equivalent, research-teaching split, budget, and foundation year. Apart from the peer, data was also collected from the Higher Education Statistics Agency database. RGU reported emissions from business travel, grid transmission and distribution, water supply, and transport and recycling. This study estimated RGUs scope 3 emissions from procurement, student-staff commute, and international student trip. The result showed that RGU covered only 11% of the scope 3 emissions. The major contributor to scope 3 emissions were procurement (48%), student commute (21%), international student trip (16%), and staff commute (4%). The estimated scope 3 emission was more than 14 times the reported emissions. This study has shown the relative importance of each scope 3 emissions source, which gives a guideline for the HEIs, on where to focus their attention to capture maximum scope 3 emissions. Moreover, it has demonstrated that it is possible to estimate the scope 3 emissions with limited data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=HEI" title="HEI">HEI</a>, <a href="https://publications.waset.org/abstracts/search?q=university" title=" university"> university</a>, <a href="https://publications.waset.org/abstracts/search?q=emission%20calculations" title=" emission calculations"> emission calculations</a>, <a href="https://publications.waset.org/abstracts/search?q=scope%203%20emissions" title=" scope 3 emissions"> scope 3 emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=emissions%20reporting" title=" emissions reporting"> emissions reporting</a> </p> <a href="https://publications.waset.org/abstracts/157954/estimate-robert-gordon-universitys-scope-three-emissions-by-nearest-neighbor-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157954.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">100</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1379</span> Marine Fishing and Climate Change: A China’s Perspective on Fisheries Economic Development and Greenhouse Gas Emissions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yidan%20Xu">Yidan Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Pim%20Martens"> Pim Martens</a>, <a href="https://publications.waset.org/abstracts/search?q=Thomas%20Krafft"> Thomas Krafft</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Marine fishing, an energy-intensive activity, directly emits greenhouse gases through fuel combustion, making it a significant contributor to oceanic greenhouse gas (GHG) emissions and worsening climate change. China is the world’s second-largest economy and the top emitter of GHG emissions, and it carries a significant energy conservation and emission reduction burden. However, the increasing GHG emissions from marine fishing is an easily overlooked but essential issue in China. This study offers a diverse perspective by integrating the concepts of total carbon emissions, carbon intensity, and per capita carbon emissions as indicators into calculation and discussion. To better understand the GHG emissions-Gross marine fishery product (GFP) relationship and influencing factors in Chinese marine fishing, the relationship between GHG emissions and economic development in marine fishing, a comprehensive framework is developed by combining the environmental Kuznets curve, the Tapio elasticity index, and the decomposition model. Results indicated that (1) The GHG emissions increased from 16.479 to 18.601 million tons in 2001-2020, in which trawlers and gillnetter are the main source in fishing operation. (2) Total carbon emissions (TC) and CI presented the same decline as GHG emissions, while per capita carbon emissions (PC) displayed an uptrend. (32) GHG emissions and gross marine fishery product (GFP) presented an inverted U-shaped relationship in China; the turning point came in the 13th Five-year Plan period (2016-2020). (43) Most provinces strongly decoupled GFP and CI. Still, PC and TC need more effort to decouple. (54) GHG emissions promoted by an industry structure driven, though carbon intensity and industry scale aid in GHG emissions reduced. (5) Compare with TC and PC, CI has been relatively affected by COVID-19 in 2020. The rise in fish and seafood prices during COVID-19 has boosted the GFP. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=marine%20fishing%20economy" title="marine fishing economy">marine fishing economy</a>, <a href="https://publications.waset.org/abstracts/search?q=greenhouse%20gas%20emission" title=" greenhouse gas emission"> greenhouse gas emission</a>, <a href="https://publications.waset.org/abstracts/search?q=fishery%20management" title=" fishery management"> fishery management</a>, <a href="https://publications.waset.org/abstracts/search?q=green%20development" title=" green development"> green development</a> </p> <a href="https://publications.waset.org/abstracts/172786/marine-fishing-and-climate-change-a-chinas-perspective-on-fisheries-economic-development-and-greenhouse-gas-emissions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/172786.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">68</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1378</span> Quantification of GHGs Emissions from Electricity and Diesel Fuel Consumption in Basalt Mining Industry in Thailand </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Kittipongvises">S. Kittipongvises</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Dubsok"> A. Dubsok</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The mineral and mining industry is necessary for countries to have an adequate and reliable supply of materials to meet their socio-economic development. Despite its importance, the environmental impacts from mineral exploration are hugely significant. This study aimed to investigate and quantify the amount of GHGs emissions emitted from both electricity and diesel vehicle fuel consumption in basalt mining in Thailand. Plant A, located in the northeastern region of Thailand, was selected as a case study. Results indicated that total GHGs emissions from basalt mining and operation (Plant A) were approximately 2,501,086 kgCO<sub>2</sub>e and 1,997,412 kgCO<sub>2</sub>e in 2014 and 2015, respectively. The estimated carbon intensity ranged between 1.824 kgCO<sub>2</sub>e to 2.284 kgCO<sub>2</sub>e per ton of rock product. Scope 1 (direct emissions) was the dominant driver of its total GHGs compared to scope 2 (indirect emissions). As such, transport related combustion of diesel fuels generated the highest GHGs emission (65%) compared to emissions from purchased electricity (35%). Some of the potential implications for mining entities were also presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=basalt%20mining" title="basalt mining">basalt mining</a>, <a href="https://publications.waset.org/abstracts/search?q=diesel%20fuel" title=" diesel fuel"> diesel fuel</a>, <a href="https://publications.waset.org/abstracts/search?q=electricity" title=" electricity"> electricity</a>, <a href="https://publications.waset.org/abstracts/search?q=GHGs%20emissions" title=" GHGs emissions"> GHGs emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=Thailand" title=" Thailand"> Thailand</a> </p> <a href="https://publications.waset.org/abstracts/53767/quantification-of-ghgs-emissions-from-electricity-and-diesel-fuel-consumption-in-basalt-mining-industry-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/53767.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">267</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1377</span> Economic Growth and Transport Carbon Dioxide Emissions in New Zealand: A Co-Integration Analysis of the Environmental Kuznets Curve</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mingyue%20Sheng">Mingyue Sheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Basil%20Sharp"> Basil Sharp</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Greenhouse gas (GHG) emissions from national transport account for the largest share of emissions from energy use in New Zealand. Whether the environmental Kuznets curve (EKC) relationship exists between environmental degradation indicators from the transport sector and economic growth in New Zealand remains unclear. This paper aims at exploring the causality relationship between CO₂ emissions from the transport sector, fossil fuel consumption, and the Gross Domestic Product (GDP) per capita in New Zealand, using annual data for the period 1977 to 2013. First, conventional unit root tests (Augmented Dickey–Fuller and Phillips–Perron tests), and a unit root test with the breakpoint (Zivot-Andrews test) are employed to examine the stationarity of the variables. Second, the autoregressive distributed lag (ARDL) bounds test for co-integration, followed by Granger causality investigated causality among the variables. Empirical results of the study reveal that, in the short run, there is a unidirectional causality between economic growth and transport CO₂ emissions with direction from economic growth to transport CO₂ emissions, as well as a bidirectional causality from transport CO₂ emissions to road energy consumption. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=economic%20growth" title="economic growth">economic growth</a>, <a href="https://publications.waset.org/abstracts/search?q=transport%20carbon%20dioxide%20emissions" title=" transport carbon dioxide emissions"> transport carbon dioxide emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20Kuznets%20curve" title=" environmental Kuznets curve"> environmental Kuznets curve</a>, <a href="https://publications.waset.org/abstracts/search?q=causality" title=" causality"> causality</a> </p> <a href="https://publications.waset.org/abstracts/92763/economic-growth-and-transport-carbon-dioxide-emissions-in-new-zealand-a-co-integration-analysis-of-the-environmental-kuznets-curve" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92763.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">300</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1376</span> Impacts on Atmospheric Mercury from Changes in Climate, Land Use, Land Cover, and Wildfires</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shiliang%20Wu">Shiliang Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Huanxin%20Zhang"> Huanxin Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Aditya%20Kumar"> Aditya Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There have been increasing concerns on atmospheric mercury as a toxic and bioaccumulative pollutant in the global environment. Global change, including changes in climate change, land use, land cover and wildfires activities can all have significant impacts on atmospheric mercury. In this study, we use a global chemical transport model (GEOS-Chem) to examine the potential impacts from global change on atmospheric mercury. All of these factors in the context of global change are found to have significant impacts on the long-term evolution of atmospheric mercury and can substantially alter the global source-receptor relationships for mercury. We also estimate the global Hg emissions from wildfires for present-day and the potential impacts from the 2000-2050 changes in climate, land use and land cover and Hg anthropogenic emissions by combining statistical analysis with global data on vegetation type and coverage as well as fire activities. Present global Hg wildfire emissions are estimated to be 612 Mg year-1. Africa is the dominant source region (43.8% of global emissions), followed by Eurasia (31%) and South America (16.6%). We find significant perturbations to wildfire emissions of Hg in the context of global change, driven by the projected changes in climate, land use and land cover and Hg anthropogenic emissions. 2000-2050 climate change could increase Hg emissions by 14% globally. Projected changes in land use by 2050 could decrease the global Hg emissions from wildfires by 13% mainly driven by a decline in African emissions due to significant agricultural land expansion. Future land cover changes could lead to significant increases in Hg emissions over some regions (+32% North America, +14% Africa, +13% Eurasia). Potential enrichment of terrestrial ecosystems in 2050 in response to changes in Hg anthropogenic emissions could increase Hg wildfire emissions both globally (+28%) and regionally. Our results indicate that the future evolution of climate, land use and land cover and Hg anthropogenic emissions are all important factors affecting Hg wildfire emissions in the coming decades. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20change" title="climate change">climate change</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use" title=" land use"> land use</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20cover" title=" land cover"> land cover</a>, <a href="https://publications.waset.org/abstracts/search?q=wildfires" title=" wildfires"> wildfires</a> </p> <a href="https://publications.waset.org/abstracts/81118/impacts-on-atmospheric-mercury-from-changes-in-climate-land-use-land-cover-and-wildfires" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81118.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">326</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1375</span> Carbon Footprint Assessment Initiative and Trees: Role in Reducing Emissions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Omar%20Alelweet">Omar Alelweet</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Carbon emissions are quantified in terms of carbon dioxide equivalents, generated through a specific activity or accumulated throughout the life stages of a product or service. Given the growing concern about climate change and the role of carbon dioxide emissions in global warming, this initiative aims to create awareness and understanding of the impact of human activities and identify potential areas for improvement regarding the management of the carbon footprint on campus. Given that trees play a vital role in reducing carbon emissions by absorbing CO₂ during the photosynthesis process, this paper evaluated the contribution of each tree to reducing those emissions. Collecting data over an extended period of time is essential to monitoring carbon dioxide levels. This will help capture changes at different times and identify any patterns or trends in the data. By linking the data to specific activities, events, or environmental factors, it is possible to identify sources of emissions and areas where carbon dioxide levels are rising. Analyzing the collected data can provide valuable insights into ways to reduce emissions and mitigate the impact of climate change. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sustainability" title="sustainability">sustainability</a>, <a href="https://publications.waset.org/abstracts/search?q=green%20building" title=" green building"> green building</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20impact" title=" environmental impact"> environmental impact</a>, <a href="https://publications.waset.org/abstracts/search?q=CO%E2%82%82" title=" CO₂"> CO₂</a> </p> <a href="https://publications.waset.org/abstracts/184012/carbon-footprint-assessment-initiative-and-trees-role-in-reducing-emissions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184012.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">69</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1374</span> Characteristics and Drivers of Greenhouse Gas (GHG) emissions from China’s Manufacturing Industry: A Threshold Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rong%20Yuan">Rong Yuan</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhao%20Tao"> Zhao Tao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Only a handful of literature have used to non-linear model to investigate the influencing factors of greenhouse gas (GHG) emissions in China’s manufacturing sectors. And there is a limit in investigating quantitatively and systematically the mechanism of correlation between economic development and GHG emissions considering inherent differences among manufacturing sub-sectors. Considering the sectorial characteristics, the manufacturing sub-sectors with various impacts of output on GHG emissions may be explained by different development modes in each manufacturing sub-sector, such as investment scale, technology level and the level of international competition. In order to assess the environmental impact associated with any specific level of economic development and explore the factors that affect GHG emissions in China’s manufacturing industry during the process of economic growth, using the threshold Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model, this paper investigated the influence impacts of GHG emissions for China’s manufacturing sectors of different stages of economic development. A data set from 28 manufacturing sectors covering an 18-year period was used. Results demonstrate that output per capita and investment scale contribute to increasing GHG emissions while energy efficiency, R&D intensity and FDI mitigate GHG emissions. Results also verify the nonlinear effect of output per capita on emissions as: (1) the Environmental Kuznets Curve (EKC) hypothesis is supported when threshold point RMB 31.19 million is surpassed; (2) the driving strength of output per capita on GHG emissions becomes stronger as increasing investment scale; (3) the threshold exists for energy efficiency with the positive coefficient first and negative coefficient later; (4) the coefficient of output per capita on GHG emissions decreases as R&D intensity increases. (5) FDI shows a reduction in elasticity when the threshold is compassed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=China" title="China">China</a>, <a href="https://publications.waset.org/abstracts/search?q=GHG%20emissions" title=" GHG emissions"> GHG emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=manufacturing%20industry" title=" manufacturing industry"> manufacturing industry</a>, <a href="https://publications.waset.org/abstracts/search?q=threshold%20STIRPAT%20model" title=" threshold STIRPAT model"> threshold STIRPAT model</a> </p> <a href="https://publications.waset.org/abstracts/61271/characteristics-and-drivers-of-greenhouse-gas-ghg-emissions-from-chinas-manufacturing-industry-a-threshold-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61271.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">428</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1373</span> Measurement of Greenhouse Gas Emissions from Sugarcane Plantation Soil in Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wilaiwan%20Sornpoon">Wilaiwan Sornpoon</a>, <a href="https://publications.waset.org/abstracts/search?q=S%C3%A9bastien%20Bonnet"> Sébastien Bonnet</a>, <a href="https://publications.waset.org/abstracts/search?q=Savitri%20Garivait"> Savitri Garivait</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Continuous measurements of greenhouse gases (GHGs) emitted from soils are required to understand diurnal and seasonal variations in soil emissions and related mechanism. This understanding plays an important role in appropriate quantification and assessment of the overall change in soil carbon flow and budget. This study proposes to monitor GHGs emissions from soil under sugarcane cultivation in Thailand. The measurements were conducted over 379 days. The results showed that the total net amount of GHGs emitted from sugarcane plantation soil amounts to 36 Mg CO2eq ha-1. Carbon dioxide (CO2) and nitrous oxide (N2O) were found to be the main contributors to the emissions. For methane (CH4), the net emission was found to be almost zero. The measurement results also confirmed that soil moisture content and GHGs emissions are positively correlated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=soil" title="soil">soil</a>, <a href="https://publications.waset.org/abstracts/search?q=GHG%20emission" title=" GHG emission"> GHG emission</a>, <a href="https://publications.waset.org/abstracts/search?q=sugarcane" title=" sugarcane"> sugarcane</a>, <a href="https://publications.waset.org/abstracts/search?q=agriculture" title=" agriculture"> agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=Thailand" title=" Thailand"> Thailand</a> </p> <a href="https://publications.waset.org/abstracts/1427/measurement-of-greenhouse-gas-emissions-from-sugarcane-plantation-soil-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1427.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">432</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1372</span> Integrative System of GDP, Emissions, Health Services and Population Health in Vietnam: Dynamic Panel Data Estimation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ha%20Hai%20Duong">Ha Hai Duong</a>, <a href="https://publications.waset.org/abstracts/search?q=Amnon%20Levy%20Livermore"> Amnon Levy Livermore</a>, <a href="https://publications.waset.org/abstracts/search?q=Kankesu%20Jayanthakumaran"> Kankesu Jayanthakumaran</a>, <a href="https://publications.waset.org/abstracts/search?q=Oleg%20Yerokhin"> Oleg Yerokhin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The issues of economic development, the environment and human health have been investigated since 1990s. Previous researchers have found different empirical evidences of the relationship between income and environmental pollution, health as determinant of economic growth, and the effects of income and environmental pollution on health in various regions of the world. This paper concentrates on integrative relationship analysis of GDP, carbon dioxide emissions, and health services and population health in context of Vietnam. We applied the dynamic generalized method of moments (GMM) estimation on datasets of Vietnam’s sixty-three provinces for the years 2000-2010. Our results show the significant positive effect of GDP on emissions and the dependence of population health on emissions and health services. We find the significant relationship between population health and GDP. Additionally, health services are significantly affected by population health and GDP. Finally, the population size too is other important determinant of both emissions and GDP. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=economic%20development" title="economic development">economic development</a>, <a href="https://publications.waset.org/abstracts/search?q=emissions" title=" emissions"> emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20pollution" title=" environmental pollution"> environmental pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=health" title=" health"> health</a> </p> <a href="https://publications.waset.org/abstracts/24314/integrative-system-of-gdp-emissions-health-services-and-population-health-in-vietnam-dynamic-panel-data-estimation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24314.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">626</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1371</span> Research on the Influencing Factors of Residents' Energy Consumption and Carbon Emission in Different Types of Communities - Taking Caijia New Town of Chongqing as an Example</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shuo%20Lei">Shuo Lei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to explore the influencing factors of residents' energy consumption and carbon emissions in different types of communities, this paper conducted research on residents' household energy consumption and carbon emissions in different types of communities in Caijia New Town, Chongqing. By calculating the carbon emissions of residents' household energy consumption, we analyze the structure and characteristics of the energy consumption of households in each type of community. At the same time, the key influencing factors affecting the carbon emissions of residents' energy consumption in Caijia New Town are analyzed from both social and spatial perspectives. The results of the study show that: (1) different types of neighborhoods have a clustering and locking effect on different types of resident groups, which makes the distribution of household energy consumption and carbon emissions closely related to the characteristics of the residents; (2) social and spatial factors have an impact on the residents' energy consumption and carbon emissions, and there is a significant difference in the carbon emission levels of different types of neighborhoods. Accordingly, an identification method is proposed to recognize the carbon emissions of Caijia New Town and even Chongqing City, which provides technical reference for the sustainable planning of low-carbon communities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=community%20type" title="community type">community type</a>, <a href="https://publications.waset.org/abstracts/search?q=residential%20energy%20consumption%20and%20carbon%20emissions" title=" residential energy consumption and carbon emissions"> residential energy consumption and carbon emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=residential%20differentiation" title=" residential differentiation"> residential differentiation</a>, <a href="https://publications.waset.org/abstracts/search?q=influencing%20factors" title=" influencing factors"> influencing factors</a>, <a href="https://publications.waset.org/abstracts/search?q=low-carbon%20community" title=" low-carbon community"> low-carbon community</a> </p> <a href="https://publications.waset.org/abstracts/192386/research-on-the-influencing-factors-of-residents-energy-consumption-and-carbon-emission-in-different-types-of-communities-taking-caijia-new-town-of-chongqing-as-an-example" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192386.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">20</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1370</span> How to Reach Net Zero Emissions? On the Permissibility of Negative Emission Technologies and the Danger of Moral Hazards</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hanna%20Sch%C3%BCbel">Hanna Schübel</a>, <a href="https://publications.waset.org/abstracts/search?q=Ivo%20Wallimann-Helmer"> Ivo Wallimann-Helmer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to reach the goal of the Paris Agreement to not overshoot 1.5°C of warming above pre-industrial levels, various countries including the UK and Switzerland have committed themselves to net zero emissions by 2050. The employment of negative emission technologies (NETs) is very likely going to be necessary for meeting these national objectives as well as other internationally agreed climate targets. NETs are methods of removing carbon from the atmosphere and are thus a means for addressing climate change. They range from afforestation to technological measures such as direct air capture and carbon storage (DACCS), where CO2 is captured from the air and stored underground. As all so-called geoengineering technologies, the development and deployment of NETs are often subject to moral hazard arguments. As these technologies could be perceived as an alternative to mitigation efforts, so the argument goes, they are potentially a dangerous distraction from the main target of mitigating emissions. We think that this is a dangerous argument to make as it may hinder the development of NETs which are an essential element of net zero emission targets. In this paper we argue that the moral hazard argument is only problematic if we do not reflect upon which levels of emissions are at stake in order to meet net zero emissions. In response to the moral hazard argument we develop an account of which levels of emissions in given societies should be mitigated and not be the target of NETs and which levels of emissions can legitimately be a target of NETs. For this purpose, we define four different levels of emissions: the current level of individual emissions, the level individuals emit in order to appear in public without shame, the level of a fair share of individual emissions in the global budget, and finally the baseline of net zero emissions. At each level of emissions there are different subjects to be assigned responsibilities if societies and/or individuals are committed to the target of net zero emissions. We argue that all emissions within one’s fair share do not demand individual mitigation efforts. The same holds with regard to individuals and the baseline level of emissions necessary to appear in public in their societies without shame. Individuals are only under duty to reduce their emissions if they exceed this baseline level. This is different for whole societies. Societies demanding more emissions to appear in public without shame than the individual fair share are under duty to foster emission reductions and are not legitimate to reduce by introducing NETs. NETs are legitimate for reducing emissions only below the level of fair shares and for reaching net zero emissions. Since access to NETs to achieve net zero emissions demands technology not affordable to individuals there are also no full individual responsibilities to achieve net zero emissions. This is mainly a responsibility of societies as a whole. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20change" title="climate change">climate change</a>, <a href="https://publications.waset.org/abstracts/search?q=mitigation" title=" mitigation"> mitigation</a>, <a href="https://publications.waset.org/abstracts/search?q=moral%20hazard" title=" moral hazard"> moral hazard</a>, <a href="https://publications.waset.org/abstracts/search?q=negative%20emission%20technologies" title=" negative emission technologies"> negative emission technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=responsibility" title=" responsibility "> responsibility </a> </p> <a href="https://publications.waset.org/abstracts/122371/how-to-reach-net-zero-emissions-on-the-permissibility-of-negative-emission-technologies-and-the-danger-of-moral-hazards" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/122371.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">120</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1369</span> Estimation of Exhaust and Non-Exhaust Particulate Matter Emissions’ Share from On-Road Vehicles in Addis Ababa City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Solomon%20Neway%20Jida">Solomon Neway Jida</a>, <a href="https://publications.waset.org/abstracts/search?q=Jean-Francois%20Hetet"> Jean-Francois Hetet</a>, <a href="https://publications.waset.org/abstracts/search?q=Pascal%20Chesse"> Pascal Chesse</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vehicular emission is the key source of air pollution in the urban environment. This includes both fine particles (PM<sub>2.5</sub>) and coarse particulate matters (PM<sub>10</sub>). However, particulate matter emissions from road traffic comprise emissions from exhaust tailpipe and emissions due to wear and tear of the vehicle part such as brake, tire and clutch and re-suspension of dust (non-exhaust emission). This study estimates the share of the two sources of pollutant particle emissions from on-roadside vehicles in the Addis Ababa municipality, Ethiopia. To calculate its share, two methods were applied; the exhaust-tailpipe emissions were calculated using the Europeans emission inventory Tier II method and Tier I for the non-exhaust emissions (like vehicle tire wear, brake, and road surface wear). The results show that of the total traffic-related particulate emissions in the city, 63% emitted from vehicle exhaust and the remaining 37% from non-exhaust sources. The annual roads transport exhaust emission shares around 2394 tons of particles from all vehicle categories. However, from the total yearly non-exhaust particulate matter emissions’ contribution, tire and brake wear shared around 65% and 35% emanated by road-surface wear. Furthermore, vehicle tire and brake wear were responsible for annual 584.8 tons of coarse particles (PM<sub>10</sub>) and 314.4 tons of fine particle matter (PM<sub>2.5</sub>) emissions in the city whereas surface wear emissions were responsible for around 313.7 tons of PM<sub>10</sub> and 169.9 tons of PM<sub>2.5</sub> pollutant emissions in the city. This suggests that non-exhaust sources might be as significant as exhaust sources and have a considerable contribution to the impact on air quality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Addis%20Ababa" title="Addis Ababa">Addis Ababa</a>, <a href="https://publications.waset.org/abstracts/search?q=automotive%20emission" title=" automotive emission"> automotive emission</a>, <a href="https://publications.waset.org/abstracts/search?q=emission%20estimation" title=" emission estimation"> emission estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=particulate%20matters" title=" particulate matters "> particulate matters </a> </p> <a href="https://publications.waset.org/abstracts/124798/estimation-of-exhaust-and-non-exhaust-particulate-matter-emissions-share-from-on-road-vehicles-in-addis-ababa-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/124798.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">130</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1368</span> The Investigation of LPG Injector Control Circuit on a Motorcycle</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bin-Wen%20Lan">Bin-Wen Lan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ying-Xin%20Chen"> Ying-Xin Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Hsueh-Cheng%20Yang"> Hsueh-Cheng Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Liquefied petroleum gas is a fuel that has high octane number and low carbon number. This paper uses MSC-51 controller to investigate the effect of liquefied petroleum gas (LPG) on exhaust emissions for different engine speeds in a single cylinder, four-stroke and spark ignition engine. The results indicate that CO, CO2 and NOX exhaust emissions are lower with the use of LPG compared to the use of unleaded gasoline by using the developed controller. The open-loop in the LPG injection system was controlled by MCS-51 single chip. The results show that if a SI engine is operated with LPG fuel rather than gasoline fuel under the same conditions, significant reduction in exhaust emissions can be achieved. In summary, LPG has positive effects on main exhaust emissions such as CO, CO2 and NOX. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LPG" title="LPG">LPG</a>, <a href="https://publications.waset.org/abstracts/search?q=control%20circuit" title=" control circuit"> control circuit</a>, <a href="https://publications.waset.org/abstracts/search?q=emission" title=" emission"> emission</a>, <a href="https://publications.waset.org/abstracts/search?q=MCS-51" title=" MCS-51"> MCS-51</a> </p> <a href="https://publications.waset.org/abstracts/37121/the-investigation-of-lpg-injector-control-circuit-on-a-motorcycle" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37121.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">501</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1367</span> Quantification of Methane Emissions from Solid Waste in Oman Using IPCC Default Methodology </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wajeeha%20A.%20Qazi">Wajeeha A. Qazi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed-Hasham%20Azam"> Mohammed-Hasham Azam</a>, <a href="https://publications.waset.org/abstracts/search?q=Umais%20A.%20Mehmood"> Umais A. Mehmood</a>, <a href="https://publications.waset.org/abstracts/search?q=Ghithaa%20A.%20Al-Mufragi"> Ghithaa A. Al-Mufragi</a>, <a href="https://publications.waset.org/abstracts/search?q=Noor-Alhuda%20Alrawahi"> Noor-Alhuda Alrawahi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20F.%20M.%20Abushammala"> Mohammed F. M. Abushammala</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Municipal Solid Waste (MSW) disposed in landfill sites decompose under anaerobic conditions and produce gases which mainly contain carbon dioxide (CO₂) and methane (CH₄). Methane has the potential of causing global warming 25 times more than CO₂, and can potentially affect human life and environment. Thus, this research aims to determine MSW generation and the annual CH₄ emissions from the generated waste in Oman over the years 1971-2030. The estimation of total waste generation was performed using existing models, while the CH₄ emissions estimation was performed using the intergovernmental panel on climate change (IPCC) default method. It is found that total MSW generation in Oman might be reached 3,089 Gg in the year 2030, which approximately produced 85 Gg of CH₄ emissions in the year 2030. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=methane" title="methane">methane</a>, <a href="https://publications.waset.org/abstracts/search?q=emissions" title=" emissions"> emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=landfills" title=" landfills"> landfills</a>, <a href="https://publications.waset.org/abstracts/search?q=solid%20waste" title=" solid waste"> solid waste</a> </p> <a href="https://publications.waset.org/abstracts/36440/quantification-of-methane-emissions-from-solid-waste-in-oman-using-ipcc-default-methodology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36440.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">510</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1366</span> Foreign Direct Investment, Economic Growth and CO2 Emissions: Evidence from WAIFEM Member Countries</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nasiru%20Inuwa">Nasiru Inuwa</a>, <a href="https://publications.waset.org/abstracts/search?q=Haruna%20Usman%20Modibbo"> Haruna Usman Modibbo</a>, <a href="https://publications.waset.org/abstracts/search?q=Yahya%20Zakari%20Abdullahi"> Yahya Zakari Abdullahi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this paper is to investigate the effects of foreign direct investment (FDI), economic growth on carbon emissions in context of WAIFEM member countries. The Im-Pesaran-Shin panel unit root test, Kao residual based test panel cointegration technique and panel Granger causality tests over the period 1980-2012 within a multivariate framework were applied. The results of cointegration test revealed a long run equilibrium relationship among CO2 emissions, economic growth and foreign direct investment. The results of Granger causality tests revealed a unidirectional causality running from economic growth to CO2 emissions for the panel of WAIFEM countries at the 5% level. Also, Granger causality runs from economic growth to foreign direct investment without feedback. However, no causality relationship between foreign direct investment and CO2 emissions for the panel of WAIFEM countries was observed. The study therefore, suggest that policy makers from WAIFEM member countries should design policies aim at attracting more foreign direct investments inflow as well the adoption of cleaner production technologies in order to reduce CO2 emissions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=economic%20growth" title="economic growth">economic growth</a>, <a href="https://publications.waset.org/abstracts/search?q=CO2%20emissions" title=" CO2 emissions"> CO2 emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=causality" title="causality">causality</a>, <a href="https://publications.waset.org/abstracts/search?q=WAIFEM" title=" WAIFEM"> WAIFEM</a> </p> <a href="https://publications.waset.org/abstracts/26866/foreign-direct-investment-economic-growth-and-co2-emissions-evidence-from-waifem-member-countries" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26866.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">572</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1365</span> Effects of IPPC Permits on Ambient Air Quality</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20Cafaro">C. Cafaro</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Ceci"> P. Ceci</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20De%20Giorgi"> L. De Giorgi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this paper is to give an assessment of environmental effects of IPPC permit conditions of installations that are in the specific territory with a high concentration of industrial activities. The IPPC permit is the permit that each operator should hold to operate the installation as stated by the directive 2010/75/UE on industrial emissions (integrated pollution prevention and control), known as IED (Industrial Emissions Directive). The IPPC permit includes all the measures necessary to achieve a high level of protection of the environment as a whole, also defining the monitoring requirements as measurement methodology, frequency, and evaluation procedure. The emissions monitoring of a specific plant may also give indications of the contribution of these emissions on the air quality of a definite area. So, it is clear that the IPPC permits are important tools both to improve the environmental framework and to achieve the air quality standards, assisting in assessing the possible industrial sources contributions to air pollution. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=IPPC" title="IPPC">IPPC</a>, <a href="https://publications.waset.org/abstracts/search?q=IED" title=" IED"> IED</a>, <a href="https://publications.waset.org/abstracts/search?q=emissions" title=" emissions"> emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=permits" title=" permits"> permits</a>, <a href="https://publications.waset.org/abstracts/search?q=air%20quality" title=" air quality"> air quality</a>, <a href="https://publications.waset.org/abstracts/search?q=large%20combustion%20plants" title=" large combustion plants"> large combustion plants</a> </p> <a href="https://publications.waset.org/abstracts/25816/effects-of-ippc-permits-on-ambient-air-quality" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25816.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">450</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1364</span> Analyzing the Effects of Real Income and Biomass Energy Consumption on Carbon Dioxide (CO2) Emissions: Empirical Evidence from the Panel of Biomass-Consuming Countries</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eyup%20Dogan">Eyup Dogan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This empirical aims to analyze the impacts of real income and biomass energy consumption on the level of emissions in the EKC model for the panel of biomass-consuming countries over the period 1980-2011. Because we detect the presence of cross-sectional dependence and heterogeneity across countries for the analyzed data, we use panel estimation methods robust to cross-sectional dependence and heterogeneity. The CADF and the CIPS panel unit root tests indicate that carbon emissions, real income and biomass energy consumption are stationary at the first-differences. The LM bootstrap panel cointegration test shows that the analyzed variables are cointegrated. Results from the panel group-mean DOLS and the panel group-mean FMOLS estimators show that increase in biomass energy consumption decreases CO2 emissions and the EKC hypothesis is validated. Therefore, countries are advised to boost their production and increase the use of biomass energy for lower level of emissions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biomass%20energy" title="biomass energy">biomass energy</a>, <a href="https://publications.waset.org/abstracts/search?q=CO2%20emissions" title=" CO2 emissions"> CO2 emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=EKC%20model" title=" EKC model"> EKC model</a>, <a href="https://publications.waset.org/abstracts/search?q=heterogeneity" title=" heterogeneity"> heterogeneity</a>, <a href="https://publications.waset.org/abstracts/search?q=cross-sectional%20dependence" title=" cross-sectional dependence"> cross-sectional dependence</a> </p> <a href="https://publications.waset.org/abstracts/52904/analyzing-the-effects-of-real-income-and-biomass-energy-consumption-on-carbon-dioxide-co2-emissions-empirical-evidence-from-the-panel-of-biomass-consuming-countries" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52904.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">296</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1363</span> Abandoned Mine Methane Mitigation in the United States</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jerome%20Blackman">Jerome Blackman</a>, <a href="https://publications.waset.org/abstracts/search?q=Pamela%20Franklin"> Pamela Franklin</a>, <a href="https://publications.waset.org/abstracts/search?q=Volha%20Roshchanka"> Volha Roshchanka</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The US coal mining sector accounts for 6% of total US Methane emissions (2021). 60% of US coal mining methane emissions come from active underground mine ventilation systems. Abandoned mines contribute about 13% of methane emissions from coal mining. While there are thousands of abandoned underground coal mines in the US, the Environmental Protection Agency (EPA) estimates that fewer than 100 have sufficient methane resources for viable methane recovery and use projects. Many abandoned mines are in remote areas far from potential energy customers and may be flooded, further complicating methane recovery. Because these mines are no longer active, recovery projects can be simpler to implement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=abandoned%20mines" title="abandoned mines">abandoned mines</a>, <a href="https://publications.waset.org/abstracts/search?q=coal%20mine%20methane" title=" coal mine methane"> coal mine methane</a>, <a href="https://publications.waset.org/abstracts/search?q=coal%20mining" title=" coal mining"> coal mining</a>, <a href="https://publications.waset.org/abstracts/search?q=methane%20emissions" title=" methane emissions"> methane emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=methane%20mitigation" title=" methane mitigation"> methane mitigation</a>, <a href="https://publications.waset.org/abstracts/search?q=recovery%20and%20use" title=" recovery and use"> recovery and use</a> </p> <a href="https://publications.waset.org/abstracts/176222/abandoned-mine-methane-mitigation-in-the-united-states" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/176222.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">78</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1362</span> Carbon Credits in Voluntary Carbon Markets: A Proposal for Iran</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saeed%20Mohammadirad">Saeed Mohammadirad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> During the first commitment period of the Kyoto Protocol, many developed countries were forced to restrict carbon emissions. Although Iran was one of the countries of Kyoto protocol, due to some special conditions, it was not required to restrict its carbon emissions. Flexible mechanisms were developed to assist countries responsible for reducing their carbon emissions, and regulated carbon markets were introduced. Carbon credits which are provided by organizations in countries with no responsibility to restrict their carbon emissions are traded in voluntary markets. This study focuses on how to measure and report the carbon allowances and carbon credits from accounting view point under both regulated and voluntary markets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=carbon%20credits" title="carbon credits">carbon credits</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20markets" title=" carbon markets"> carbon markets</a>, <a href="https://publications.waset.org/abstracts/search?q=accounting" title=" accounting"> accounting</a>, <a href="https://publications.waset.org/abstracts/search?q=flexible%20mechanisms" title=" flexible mechanisms"> flexible mechanisms</a> </p> <a href="https://publications.waset.org/abstracts/29797/carbon-credits-in-voluntary-carbon-markets-a-proposal-for-iran" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29797.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">408</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1361</span> Nonlinear Multivariable Analysis of CO2 Emissions in China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hsiao-Tien%20Pao">Hsiao-Tien Pao</a>, <a href="https://publications.waset.org/abstracts/search?q=Yi-Ying%20Li"> Yi-Ying Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Hsin-Chia%20Fu"> Hsin-Chia Fu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper addressed the impacts of energy consumption, economic growth, financial development, and population size on environmental degradation using grey relational analysis (GRA) for China, where foreign direct investment (FDI) inflows is the proxy variable for financial development. The more recent historical data during the period 2004–2011 are used, because the use of very old data for data analysis may not be suitable for rapidly developing countries. The results of the GRA indicate that the linkage effects of energy consumption–emissions and GDP–emissions are ranked first and second, respectively. These reveal that energy consumption and economic growth are strongly correlated with emissions. Higher economic growth requires more energy consumption and increasing environmental pollution. Likewise, more efficient energy use needs a higher level of economic development. Therefore, policies to improve energy efficiency and create a low-carbon economy can reduce emissions without hurting economic growth. The finding of FDI–emissions linkage is ranked third. This indicates that China do not apply weak environmental regulations to attract inward FDI. Furthermore, China’s government in attracting inward FDI should strengthen environmental policy. The finding of population–emissions linkage effect is ranked fourth, implying that population size does not directly affect CO<sub>2</sub> emissions, even though China has the world’s largest population, and Chinese people are very economical use of energy-related products. Overall, the energy conservation, improving efficiency, managing demand, and financial development, which aim at curtailing waste of energy, reducing both energy consumption and emissions, and without loss of the country’s competitiveness, can be adopted for developing economies. The GRA is one of the best way to use a lower data to build a dynamic analysis model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=China" title="China">China</a>, <a href="https://publications.waset.org/abstracts/search?q=CO%E2%82%82%20emissions" title=" CO₂ emissions"> CO₂ emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=foreign%20direct%20investment" title=" foreign direct investment"> foreign direct investment</a>, <a href="https://publications.waset.org/abstracts/search?q=grey%20relational%20analysis" title=" grey relational analysis"> grey relational analysis</a> </p> <a href="https://publications.waset.org/abstracts/47778/nonlinear-multivariable-analysis-of-co2-emissions-in-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47778.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">403</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1360</span> Modeling Heat-Related Mortality Based on Greenhouse Emissions in OECD Countries</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anderson%20Ngowa%20Chembe">Anderson Ngowa Chembe</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Olukuru"> John Olukuru</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Greenhouse emissions by human activities are known to irreversibly increase global temperatures through the greenhouse effect. This study seeks to propose a mortality model with sensitivity to heat-change effects as one of the underlying parameters in the model. As such, the study sought to establish the relationship between greenhouse emissions and mortality indices in five OECD countries (USA, UK, Japan, Canada & Germany). Upon the establishment of the relationship using correlation analysis, an additional parameter that accounts for the sensitivity of heat-changes to mortality rates was incorporated in the Lee-Carter model. Based on the proposed model, new parameter estimates were calculated using iterative algorithms for optimization. Finally, the goodness of fit for the original Lee-Carter model and the proposed model were compared using deviance comparison. The proposed model provides a better fit to mortality rates especially in USA, UK and Germany where the mortality indices have a strong positive correlation with the level of greenhouse emissions. The results of this study are of particular importance to actuaries, demographers and climate-risk experts who seek to use better mortality-modeling techniques in the wake of heat effects caused by increased greenhouse emissions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20risk" title="climate risk">climate risk</a>, <a href="https://publications.waset.org/abstracts/search?q=greenhouse%20emissions" title=" greenhouse emissions"> greenhouse emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=Lee-Carter%20model" title=" Lee-Carter model"> Lee-Carter model</a>, <a href="https://publications.waset.org/abstracts/search?q=OECD" title=" OECD"> OECD</a> </p> <a href="https://publications.waset.org/abstracts/59701/modeling-heat-related-mortality-based-on-greenhouse-emissions-in-oecd-countries" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59701.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">343</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=non-tailpipe%20emissions&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=non-tailpipe%20emissions&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=non-tailpipe%20emissions&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=non-tailpipe%20emissions&page=5">5</a></li> <li class="page-item"><a class="page-link" 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