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Modeling and Simulation of Carbon Emission Related Issues

dc.contributor.authorTsai, Wen-Hsien*
dc.date.accessioned2021-02-11T19:54:06Z
dc.date.available2021-02-11T19:54:06Z
dc.date.issued2019*
dc.date.submitted2019-12-09 11:49:15*
dc.identifier42487*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/53689
dc.description.abstractCarbon emissions reached an all-time high in 2018, when global carbon dioxide emissions from burning fossil fuels increased by about 2.7%, after a 1.6% increase in 2017. Thus, we need to pay special attention to carbon emissions and work out possible solutions if we still want to meet the targets of the Paris climate agreement. This Special Issue collects 16 carbon emissions-related papers (including 5 that are carbon tax-related) and 4 energy-related papers using various methods or models, such as the input–output model, decoupling analysis, life cycle impact analysis (LCIA), relational analysis model, generalized Divisia index model (GDIM), forecasting model, three-indicator allocation model, mathematical programming, real options model, multiple linear regression, etc. The research studies come from China, Taiwan, Brazil, Thailand, and United States. These researches involved various industries such as agricultural industry, transportation industry, power industry, tire industry, textile industry, wave energy industry, natural gas industry, and petroleum industry. Although this Special Issue does not fully solve our concerns, it still provides abundant material for implementing energy conservation and carbon emissions reduction. However, there are still many issues regarding the problems caused by global warming that require research.*
dc.languageEnglish*
dc.subjectHD72-88*
dc.subject.classificationbic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCM Development economics & emerging economiesen_US
dc.subject.othershale gas*
dc.subject.othern/a*
dc.subject.otherTapio’s model*
dc.subject.other1))*
dc.subject.othertea*
dc.subject.otherVARIMAX-ECM model*
dc.subject.otherwave energy converter*
dc.subject.othererror correction mechanism model*
dc.subject.otherlow-carbon agriculture*
dc.subject.otherhybrid ship power systems*
dc.subject.othergreenhouse gas emissions*
dc.subject.otherSTIRPAT model*
dc.subject.othertextile industry*
dc.subject.othercarbon tax*
dc.subject.otherrefined oil distribution*
dc.subject.otherpushback control*
dc.subject.othertakeoff rate*
dc.subject.othereconomic growth*
dc.subject.othergeneralized regression neural network (GRNN)*
dc.subject.otherIndustry 4.0*
dc.subject.otherHOMER software*
dc.subject.otherpopulation growth*
dc.subject.otherMarkov forecasting model*
dc.subject.otherhousehold consumption*
dc.subject.otherlife cycle assessment*
dc.subject.othergreen quality management*
dc.subject.otheragricultural-related sectors*
dc.subject.othernon-energy uses of fossil fuels*
dc.subject.otherinvestment under uncertainty*
dc.subject.otherCO2 emissions forecasting*
dc.subject.otherdecoupling analysis*
dc.subject.otherCO2 emissions*
dc.subject.otherquotas allocation*
dc.subject.othercarbon price fluctuation*
dc.subject.otherfinal energy consumption*
dc.subject.otherethylene supply*
dc.subject.otherhousehold CO2 emissions (HCEs)*
dc.subject.othergreen transportation*
dc.subject.otherLi-ion battery*
dc.subject.otherActivity-Based Costing (ABC)*
dc.subject.otherdecoupling elasticity*
dc.subject.othercausal factors*
dc.subject.otherrenewable energy*
dc.subject.otherper capita household CO2 emissions (PHCEs)*
dc.subject.othershipping*
dc.subject.otherinput–output model*
dc.subject.othercarbon intensity target*
dc.subject.otherclimate change*
dc.subject.otherMonte Carlo method*
dc.subject.otherCLA Model*
dc.subject.otherenergy intensity*
dc.subject.othertotal carbon emissions*
dc.subject.othermathematical programming*
dc.subject.othersustainable development*
dc.subject.otherGeneralized Divisia Index*
dc.subject.othercarbon trading*
dc.subject.otherinfluence factor*
dc.subject.othertire industry*
dc.subject.othersocio-economic scenarios*
dc.subject.otherhybrid genetic algorithm*
dc.subject.othereconomic growth and the environment*
dc.subject.othernon-linear programming*
dc.subject.otherenvironmental impact*
dc.subject.othercapacity expansion*
dc.subject.otherproduct-mix decision model*
dc.subject.otherinfluencing factors*
dc.subject.otherscenario forecast*
dc.subject.otherenergy structure*
dc.subject.otherChina*
dc.subject.othercarbon emissions*
dc.subject.otherinventory routing problem*
dc.subject.othergreen manufacturing*
dc.subject.otherfairness*
dc.subject.otherpower industry*
dc.subject.otheractivity-based costing (ABC)*
dc.subject.otheraircraft*
dc.subject.otherelectric power industry*
dc.subject.othertaxi time*
dc.subject.otherreal options analysis*
dc.subject.othercarbon footprint*
dc.subject.otherLT-ARIMAXS model*
dc.subject.othercarbon intensity*
dc.subject.othergray model (GM (1*
dc.subject.otherreducing carbon emissions*
dc.subject.othersustainable agriculture*
dc.subject.otherlong-term*
dc.titleModeling and Simulation of Carbon Emission Related Issues*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03921-312-2*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
oapen.relation.isbn9783039213122*
oapen.relation.isbn9783039213115*
oapen.pages420*
oapen.edition1st*


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