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Modelling and Analysis of Sustainability Related Issues in New Era

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ISBN: 9783039210244 9783039210251 Year: Pages: 350 DOI: 10.3390/books978-3-03921-025-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-06-26 08:44:06
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Abstract

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

carbon tax policy --- return policy --- carbon reduction --- e-commerce platform --- carbon emissions --- cap & trade --- green production --- footwear industry --- activity-based costing (ABC) --- activity-based costing (ABC) --- industry 4.0 --- integrated mathematical programming --- product-mix decision --- theory of constraints (TOC) --- carbon tax --- small and medium enterprises --- OEE --- OECD --- manufacturing sustainability --- time study --- Industry 4.0 --- material handling systems --- agent-based control architecture --- Activity-Based Costing (ABC) --- Industry 4.0 --- tire industry --- carbon emission --- carbon tax --- mathematical programming --- sustainability --- sustainability performance --- corporate social responsibility (CSR) --- internal control --- multi-attribute decision model (MADM) --- decision making trial and evaluation laboratory (DEMATEL) --- DANP (DEMATEL based ANP) --- VIKOR --- fuel consumption --- sustainability --- active suspension --- PID controller --- white noise --- colored noise --- long- and short-term --- greenhouse gas --- LS-ARIMAXi-ECM model --- sustainability --- economic growth --- exogenous variables --- CO2 emissions --- family business --- succession plan --- corporate characteristics --- family capital --- niche inheritance --- multi-attribute decision model (MADM) --- social sustainability --- artificial intelligence --- corporate social responsibility --- decision making --- firm value --- Activity-Based Costing (ABC) --- Industry 4.0 --- aluminum-alloy wheel industry --- mathematical programming --- Activity-Based Standard Costing (ABSC) --- Manufacturing Execution System (MES) --- Activity-Based Costing (ABC) --- Enterprise Resource Planning (ERP) --- Industry 4.0 --- industrial internet of things --- digital transformation --- digital platforms --- qualitative-empirical study --- small and medium-sized enterprises --- sustainable development --- energy efficiency --- electrical appliances --- life cycle cost analysis (LCCA) --- multi-attribute value theory (MAVT) --- multi-objective optimization --- NSGAII --- sustainability --- ISO14051 --- material flow cost accounting --- n/a

Modeling and Simulation of Carbon Emission Related Issues

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ISBN: 9783039213115 9783039213122 Year: Pages: 420 DOI: 10.3390/books978-3-03921-312-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-12-09 11:49:15
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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

household consumption --- total carbon emissions --- CLA Model --- influence factor --- STIRPAT model --- carbon emissions --- influencing factors --- decoupling elasticity --- Generalized Divisia Index --- Tapio’s model --- household CO2 emissions (HCEs) --- per capita household CO2 emissions (PHCEs) --- input–output model --- refined oil distribution --- inventory routing problem --- hybrid genetic algorithm --- carbon emissions --- carbon tax --- decoupling analysis --- greenhouse gas emissions --- carbon footprint --- low-carbon agriculture --- causal factors --- CO2 emissions forecasting --- VARIMAX-ECM model --- sustainable development --- economic growth --- population growth --- carbon price fluctuation --- renewable energy --- real options analysis --- investment under uncertainty --- carbon emissions --- carbon tax --- activity-based costing (ABC) --- capacity expansion --- green quality management --- product-mix decision model --- mathematical programming --- long-term --- final energy consumption --- LT-ARIMAXS model --- sustainable development --- economic growth and the environment --- error correction mechanism model --- activity-based costing (ABC) --- mathematical programming --- textile industry --- green manufacturing --- Industry 4.0 --- carbon emissions --- Activity-Based Costing (ABC) --- carbon emissions --- tire industry --- carbon trading --- mathematical programming --- quotas allocation --- carbon emissions --- electric power industry --- fairness --- agricultural-related sectors --- carbon emissions --- carbon tax --- China --- power industry --- carbon emissions --- Generalized Divisia Index --- scenario forecast --- Monte Carlo method --- wave energy converter --- life cycle assessment --- energy intensity --- carbon intensity --- aircraft --- taxi time --- takeoff rate --- pushback control --- green transportation --- carbon emissions --- reducing carbon emissions --- carbon intensity target --- energy structure --- gray model (GM (1, 1)) --- generalized regression neural network (GRNN) --- Markov forecasting model --- non-linear programming --- ethylene supply --- shale gas --- non-energy uses of fossil fuels --- socio-economic scenarios --- climate change --- tea --- climate change --- sustainable agriculture --- environmental impact --- carbon footprint --- CO2 emissions --- HOMER software --- hybrid ship power systems --- Li-ion battery --- shipping --- n/a

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english (2)


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2019 (2)