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  • 1
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    Modeling and Simulation of Carbon Emission Related Issues (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2023-12-20
    Description: Carbon 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.
    Keywords: HD72-88 ; shale gas ; n/a ; Tapio’s model ; 1)) ; tea ; VARIMAX-ECM model ; wave energy converter ; error correction mechanism model ; low-carbon agriculture ; hybrid ship power systems ; greenhouse gas emissions ; STIRPAT model ; textile industry ; carbon tax ; refined oil distribution ; pushback control ; takeoff rate ; economic growth ; generalized regression neural network (GRNN) ; Industry 4.0 ; HOMER software ; population growth ; Markov forecasting model ; household consumption ; life cycle assessment ; green quality management ; agricultural-related sectors ; non-energy uses of fossil fuels ; investment under uncertainty ; CO2 emissions forecasting ; decoupling analysis ; CO2 emissions ; quotas allocation ; carbon price fluctuation ; final energy consumption ; ethylene supply ; household CO2 emissions (HCEs) ; green transportation ; Li-ion battery ; Activity-Based Costing (ABC) ; decoupling elasticity ; causal factors ; renewable energy ; per capita household CO2 emissions (PHCEs) ; shipping ; input–output model ; carbon intensity target ; climate change ; Monte Carlo method ; CLA Model ; energy intensity ; total carbon emissions ; mathematical programming ; sustainable development ; Generalized Divisia Index ; carbon trading ; influence factor ; tire industry ; socio-economic scenarios ; hybrid genetic algorithm ; economic growth and the environment ; non-linear programming ; environmental impact ; capacity expansion ; product-mix decision model ; influencing factors ; scenario forecast ; energy structure ; China ; carbon emissions ; inventory routing problem ; green manufacturing ; fairness ; power industry ; activity-based costing (ABC) ; aircraft ; electric power industry ; taxi time ; real options analysis ; carbon footprint ; LT-ARIMAXS model ; carbon intensity ; gray model (GM (1 ; reducing carbon emissions ; sustainable agriculture ; long-term ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCM Development economics & emerging economies
    Language: English
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  • 2
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    Modelling and Analysis of Sustainability Related Issues in New Era (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2023-12-20
    Description: The purpose of this Special Issue is to investigate topics related to sustainability issues in the new era, especially in Industry 4.0 or other new manufacturing environments. Under Industry 4.0, there have been great changes with respect to production processes, production planning and control, quality assurance, internal control, cost determination, and other management issues. Moreover, it is expected that Industry 4.0 can create positive sustainability impacts along the whole value chain. There are three pillars of sustainability, including environmental sustainability, economic sustainability, and social sustainability. This Special Issue collects 15 sustainability-related papers from various industries that use various methods or models, such as mathematical programming, activity-based costing (ABC), material flow cost accounting, fuel consumption model, artificial intelligence (AI)-based fusion model, multi-attribute decision model (MADM), and so on. These papers are related to carbon emissions, carbon tax, Industry 4.0, economic sustainability, corporate social responsibility (CSR), etc. The research objects come from China, Taiwan, Thailand, Oman, Cyprus, Germany, Austria, and Portugal. Although the research presented in this Special Issue is not exhaustive, this Special Issue provides abundant, significant research related to environmental, economic, and social sustainability. Nevertheless, there still are many research topics that require our attention to solve problems of sustainability.
    Keywords: HB1-3840 ; carbon reduction ; PID controller ; n/a ; time study ; VIKOR ; life cycle cost analysis (LCCA) ; Activity-Based Costing (ABC) ; LS-ARIMAXi-ECM model ; DANP (DEMATEL based ANP) ; multi-attribute decision model (MADM) ; artificial intelligence ; white noise ; OECD ; integrated mathematical programming ; Activity-Based Standard Costing (ABSC) ; qualitative-empirical study ; energy efficiency ; multi-attribute value theory (MAVT) ; e-commerce platform ; decision making trial and evaluation laboratory (DEMATEL) ; colored noise ; carbon tax policy ; material flow cost accounting ; Manufacturing Execution System (MES) ; cap & trade ; manufacturing sustainability ; sustainability ; OEE ; mathematical programming ; aluminum-alloy wheel industry ; sustainable development ; return policy ; small and medium enterprises ; decision making ; Enterprise Resource Planning (ERP) ; tire industry ; footwear industry ; carbon tax ; electrical appliances ; niche inheritance ; carbon emission ; social sustainability ; material handling systems ; small and medium-sized enterprises ; product-mix decision ; internal control ; economic growth ; active suspension ; Industry 4.0 ; corporate social responsibility ; greenhouse gas ; carbon emissions ; succession plan ; digital transformation ; corporate social responsibility (CSR) ; fuel consumption ; agent-based control architecture ; sustainability performance ; activity-based costing (ABC) ; corporate characteristics ; firm value ; industry 4.0 ; digital platforms ; ISO14051 ; theory of constraints (TOC) ; long- and short-term ; NSGAII ; CO2 emissions ; family capital ; green production ; industrial internet of things ; multi-objective optimization ; family business ; exogenous variables ; bic Book Industry Communication::K Economics, finance, business & management
    Language: English
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