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This edition of Ronald Miller and Peter Blair's classic textbook is an essential reference for students and scholars in the input-output research and applications community. The book has been fully revised and updated to reflect important developments in the field since its original publication. New topics covered include SAMs (and extended input-output models) and their connection to input-output data, structural decomposition analysis (SDA), multiplier decompositions, identifying important coefficients, and international input-output models. A major new feature of this edition is that it is also supported by an accompanying website with solutions to all problems, wide-ranging real-world data sets, and appendices with further information for more advanced readers. Input-Output Analysis is an ideal introduction to the subject for advanced undergraduate and graduate students in a wide variety of fields, including economics, regional science, regional economics, city, regional and urban planning, environmental planning, public policy analysis and public management.
National accounts --- Input-output analysis --- Analyse input-output --- Input-output analysis. --- Economie --- Input-output-model --- AA / International- internationaal --- 305.4 --- 330.3 --- 339.23 --- Interindustry economics --- Economics, Mathematical --- National income --- Input-output tables --- Econometrie van de inkomensvorming, de spaarvorming, de kapitaalvorming. Input-output tabellen. --- Methode in staathuishoudkunde. Statische, dynamische economie. Modellen. Experimental economics. --- Accounting --- Economie. --- Input-output-model. --- Econometrie van de inkomensvorming, de spaarvorming, de kapitaalvorming. Input-output tabellen --- Methode in staathuishoudkunde. Statische, dynamische economie. Modellen. Experimental economics --- Economics. --- Economic theory --- Political economy --- Social sciences --- Economic man --- Business, Economy and Management --- Economics
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As humanity's current production and consumption patterns exceed planetary boundaries, many opinion leaders have stressed the need to adopt green economic stimulus policies in the aftermath of the COVID-19 pandemic, in line with the United Nations Sustainable Development Goals and the Paris Agreement on Climate Change. This paper provides an integrated framework to design an economic recovery strategy aligned with sustainability objectives through a multi-criterion, multi-stakeholder lens. The aim is to enable decisions by policy makers with the aid of transparent workflows that include expert evidence that is based on quantitative open-source modeling, and qualitative input by diverse social actors in a participatory approach. The paper employs an energy systems model and an economic input-output model to provide quantitative evidence and design a multi-criteria decision process that engages stakeholders from government, enterprises, and civil society. As a case study, the paper studies 13 green recovery measures that are relevant for Cyprus and assesses their appropriateness for criteria related to environmental sustainability, socioeconomic and job impact, and climate resilience. The results highlight trade-offs between immediate and long-run effects, between economic and environmental objectives, and between expert evidence and societal priorities. Importantly, the paper finds that a "return-to-normal" economic stimulus is not only environmentally unsustainable, but also economically inferior to most green recovery schemes.
Climate Change --- Climate Change and Environment --- Economic Growth --- Economic Recovery --- Emissions Trading --- Energy Systems Model --- Environment --- Environmental Sustainability --- Green Growth --- Green Issues --- Input-Output Model --- Macroeconomics and Economic Growth --- Multi-Criteria Decision Analysis --- Paris Agreement --- Policy Formulation --- Stakeholder Engagement --- Sustainable Development Goals
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This book celebrates the life, work and influence of Professor Roger W.H. Sargent of Imperial College London. It does so through a range of original contributions that span the wide academic and industry interests of Professor Sargent. Roger Sargent passed away in late 2018, but his legacy lives on through his enormous academic tree, which traces to the early 1960s. That huge body of work has also had significant impacts on industrial practices. Roger was regarded as “the father of Process Systems Engineering (PSE)”. This area of Chemical Engineering continues to influence the modelling, design, control, optimization and integrated performance of industrial and related processes. This book highlights some of those impacts and the ongoing importance of PSE in helping to solve some of the grand challenges of our time.
Technology: general issues --- input-output model --- fuzzy optimization --- process synthesis --- preliminary stage design --- process systems engineering --- energy systems engineering --- process design --- optimization --- nonlinear programming --- process monitoring --- nonlinear principal component analysis --- parallel neural networks --- autoassociative neural network --- big data --- process scheduling --- process system engineering --- mixed-integer programming --- scheduling --- process control --- integration --- distribution --- planning --- oil supply chain --- robust optimization --- uncertainty --- bio-jet diesel --- co-hydrotreating --- hydrodesulphurisation --- hydrodeoxigenation --- reactive distillation --- coproduction --- Lurgi syngas --- cryogenic separation --- methanol synthesis --- LNG --- symmetry --- quadratic optimization --- quadratically-constrained quadratic optimization --- process modeling --- mathematical programming --- MINLP --- generalized disjunctive programming --- design --- higher education --- curricula --- visualization --- n/a
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The spread of coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has evolved as a global pandemic and the disease has affected nearly every country and region. This pandemic has posed further threats to people due to the emergence of the number of novel SARS-CoV-2 strains with unknown original hosts. Since the start of the pandemic, COVID-19 has overwhelmed health systems worldwide, from crippling health resources to causing paradigms shifts in health care delivery. The various strategies taken to control viral transmission including testing process, quarantine and isolation have had dire psychological and financial implications on individuals and institutions. Furthermore, many countries have implemented lockdowns and other restrictions to curb the virus’s spread resulted in disrupted formal education, unplanned fiscal costs on emergency reliefs, and decreased productivity. This Special Issue provides an avenue for authors from various disciplines to better understand the risk factors associated with the spread and severity of COVID-19 infections. It also provides information about the influence of COVID-19 and its countermeasures on local economies, the environment, and mental health. This Special Issue contains 11 research articles and one review.
Medicine --- Epidemiology & medical statistics --- coronavirus disease --- artificial neural networks --- SARS-CoV-2 --- ventilator --- index development index --- developing country --- Covid-19 --- population density --- Covid-19 mortality --- economic recovery --- population reduction --- China --- Saudi Arabia --- Henry Kissinger --- economic burden --- influenza-like illness --- healthcare-seeking behaviors --- air pollution --- coronavirus disease 2019 --- Greece --- GreenYourAir --- fine particulate matter --- COVID-19 --- dentistry --- pandemic --- dentist --- protective equipment --- economy resilience --- economy resistance --- economy restoration --- photochemical smog --- respiratory disorders --- prevalence --- occupational health --- infection --- trade protectionism --- economy --- energy --- input-output model --- public health crisis --- ESG --- stock price volatility --- avoid risk --- psychological distress --- depression symptoms --- anxiety symptoms --- financial variables --- COVID-19 pandemic --- district-level analysis --- risk factors --- Nepal
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This book celebrates the life, work and influence of Professor Roger W.H. Sargent of Imperial College London. It does so through a range of original contributions that span the wide academic and industry interests of Professor Sargent. Roger Sargent passed away in late 2018, but his legacy lives on through his enormous academic tree, which traces to the early 1960s. That huge body of work has also had significant impacts on industrial practices. Roger was regarded as “the father of Process Systems Engineering (PSE)”. This area of Chemical Engineering continues to influence the modelling, design, control, optimization and integrated performance of industrial and related processes. This book highlights some of those impacts and the ongoing importance of PSE in helping to solve some of the grand challenges of our time.
input-output model --- fuzzy optimization --- process synthesis --- preliminary stage design --- process systems engineering --- energy systems engineering --- process design --- optimization --- nonlinear programming --- process monitoring --- nonlinear principal component analysis --- parallel neural networks --- autoassociative neural network --- big data --- process scheduling --- process system engineering --- mixed-integer programming --- scheduling --- process control --- integration --- distribution --- planning --- oil supply chain --- robust optimization --- uncertainty --- bio-jet diesel --- co-hydrotreating --- hydrodesulphurisation --- hydrodeoxigenation --- reactive distillation --- coproduction --- Lurgi syngas --- cryogenic separation --- methanol synthesis --- LNG --- symmetry --- quadratic optimization --- quadratically-constrained quadratic optimization --- process modeling --- mathematical programming --- MINLP --- generalized disjunctive programming --- design --- higher education --- curricula --- visualization --- n/a
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The spread of coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has evolved as a global pandemic and the disease has affected nearly every country and region. This pandemic has posed further threats to people due to the emergence of the number of novel SARS-CoV-2 strains with unknown original hosts. Since the start of the pandemic, COVID-19 has overwhelmed health systems worldwide, from crippling health resources to causing paradigms shifts in health care delivery. The various strategies taken to control viral transmission including testing process, quarantine and isolation have had dire psychological and financial implications on individuals and institutions. Furthermore, many countries have implemented lockdowns and other restrictions to curb the virus’s spread resulted in disrupted formal education, unplanned fiscal costs on emergency reliefs, and decreased productivity. This Special Issue provides an avenue for authors from various disciplines to better understand the risk factors associated with the spread and severity of COVID-19 infections. It also provides information about the influence of COVID-19 and its countermeasures on local economies, the environment, and mental health. This Special Issue contains 11 research articles and one review.
coronavirus disease --- artificial neural networks --- SARS-CoV-2 --- ventilator --- index development index --- developing country --- Covid-19 --- population density --- Covid-19 mortality --- economic recovery --- population reduction --- China --- Saudi Arabia --- Henry Kissinger --- economic burden --- influenza-like illness --- healthcare-seeking behaviors --- air pollution --- coronavirus disease 2019 --- Greece --- GreenYourAir --- fine particulate matter --- COVID-19 --- dentistry --- pandemic --- dentist --- protective equipment --- economy resilience --- economy resistance --- economy restoration --- photochemical smog --- respiratory disorders --- prevalence --- occupational health --- infection --- trade protectionism --- economy --- energy --- input-output model --- public health crisis --- ESG --- stock price volatility --- avoid risk --- psychological distress --- depression symptoms --- anxiety symptoms --- financial variables --- COVID-19 pandemic --- district-level analysis --- risk factors --- Nepal
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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.
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 --- Tapio's model --- input-output model
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The pandemic period has caused severe socio-economic damage, but it is accompanied by environmental deterioration that can also affect economic opportunities and social equity. In the face of this double risk, future generations are ready to be resilient and make their contribution not only on the consumption side, but also through their inclusion in all companies by bringing green and circular principles with them. Policy makers can also favor this choice.
Technology: general issues --- mobility choice --- COVID-19 --- best–worst method --- multi-criteria decision making --- air pollution --- air quality --- health effects --- economic burden --- food system --- circular economy --- sustainability --- EU --- Twitter --- COVID-19 pandemic --- local community --- perception analysis --- econometric modeling --- data science --- reflexive governance --- climate change --- infrastructure --- urban resilience --- social sustainability --- economic sustainability --- environmental sustainability --- China --- business --- innovation ecosystem --- innovation strategy --- electric vehicle --- dominant design --- crisis --- pandemic --- higher education --- digitalization --- distance learning --- Covid-19 outbreak --- resilience --- n/a --- strategic resilience --- multi-domain resilience --- strategic agility --- change --- sustainability strategy --- financialization --- TFP --- innovation --- resilience of city --- infectious disease --- urban planning --- supply chain resilience --- IT disruptions --- efficiency measurement --- warehouse logistics --- DEA --- resilient supply chains --- external capital --- customer–supplier relationship --- circular network --- cyber-security --- e-commerce --- Europe --- supply chain collaboration --- small- and medium-sized enterprises --- grey DEMATEL --- fuzzy best-worst method --- agrivoltaic system --- solar photovoltaics --- agronomic management --- crop production --- Food-Energy-Water nexus --- sustainable integration --- women’s leadership --- America Latina --- small and medium-sized enterprises --- renewable energy --- sustainable electricity production --- socio-economic sustainability --- sustainable development goals --- emission level --- levelized cost --- gross domestic product --- pig farmers --- adoption willingness of IoT traceability technology --- Unified Theory of Acceptance and Use of Technology --- Latent Moderate Structural Equations --- biomethane --- natural gas grid --- bioenergy --- biogas --- gas supply decarbonization --- incentives --- competences --- digitization --- digital transformation --- Asia Pacific --- CO2 emission --- demand shock --- hypothetical extraction method --- input–output model --- sectoral linkage --- emerging cities --- sustainable operations --- case studies --- the Asian region --- resilience decisions --- cybersecurity --- consumers’ awareness --- methodology --- best-worst method --- customer-supplier relationship --- women's leadership --- input-output model --- consumers' awareness
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The pandemic period has caused severe socio-economic damage, but it is accompanied by environmental deterioration that can also affect economic opportunities and social equity. In the face of this double risk, future generations are ready to be resilient and make their contribution not only on the consumption side, but also through their inclusion in all companies by bringing green and circular principles with them. Policy makers can also favor this choice.
mobility choice --- COVID-19 --- best–worst method --- multi-criteria decision making --- air pollution --- air quality --- health effects --- economic burden --- food system --- circular economy --- sustainability --- EU --- Twitter --- COVID-19 pandemic --- local community --- perception analysis --- econometric modeling --- data science --- reflexive governance --- climate change --- infrastructure --- urban resilience --- social sustainability --- economic sustainability --- environmental sustainability --- China --- business --- innovation ecosystem --- innovation strategy --- electric vehicle --- dominant design --- crisis --- pandemic --- higher education --- digitalization --- distance learning --- Covid-19 outbreak --- resilience --- n/a --- strategic resilience --- multi-domain resilience --- strategic agility --- change --- sustainability strategy --- financialization --- TFP --- innovation --- resilience of city --- infectious disease --- urban planning --- supply chain resilience --- IT disruptions --- efficiency measurement --- warehouse logistics --- DEA --- resilient supply chains --- external capital --- customer–supplier relationship --- circular network --- cyber-security --- e-commerce --- Europe --- supply chain collaboration --- small- and medium-sized enterprises --- grey DEMATEL --- fuzzy best-worst method --- agrivoltaic system --- solar photovoltaics --- agronomic management --- crop production --- Food-Energy-Water nexus --- sustainable integration --- women’s leadership --- America Latina --- small and medium-sized enterprises --- renewable energy --- sustainable electricity production --- socio-economic sustainability --- sustainable development goals --- emission level --- levelized cost --- gross domestic product --- pig farmers --- adoption willingness of IoT traceability technology --- Unified Theory of Acceptance and Use of Technology --- Latent Moderate Structural Equations --- biomethane --- natural gas grid --- bioenergy --- biogas --- gas supply decarbonization --- incentives --- competences --- digitization --- digital transformation --- Asia Pacific --- CO2 emission --- demand shock --- hypothetical extraction method --- input–output model --- sectoral linkage --- emerging cities --- sustainable operations --- case studies --- the Asian region --- resilience decisions --- cybersecurity --- consumers’ awareness --- methodology --- best-worst method --- customer-supplier relationship --- women's leadership --- input-output model --- consumers' awareness
Choose an application
The spread of coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has evolved as a global pandemic and the disease has affected nearly every country and region. This pandemic has posed further threats to people due to the emergence of the number of novel SARS-CoV-2 strains with unknown original hosts. Since the start of the pandemic, COVID-19 has overwhelmed health systems worldwide, from crippling health resources to causing paradigms shifts in health care delivery. The various strategies taken to control viral transmission including testing process, quarantine and isolation have had dire psychological and financial implications on individuals and institutions. Furthermore, many countries have implemented lockdowns and other restrictions to curb the virus’s spread resulted in disrupted formal education, unplanned fiscal costs on emergency reliefs, and decreased productivity. This Special Issue provides an avenue for authors from various disciplines to better understand the risk factors associated with the spread and severity of COVID-19 infections. It also provides information about the influence of COVID-19 and its countermeasures on local economies, the environment, and mental health. This Special Issue contains 11 research articles and one review.
Medicine --- Epidemiology & medical statistics --- coronavirus disease --- artificial neural networks --- SARS-CoV-2 --- ventilator --- index development index --- developing country --- Covid-19 --- population density --- Covid-19 mortality --- economic recovery --- population reduction --- China --- Saudi Arabia --- Henry Kissinger --- economic burden --- influenza-like illness --- healthcare-seeking behaviors --- air pollution --- coronavirus disease 2019 --- Greece --- GreenYourAir --- fine particulate matter --- COVID-19 --- dentistry --- pandemic --- dentist --- protective equipment --- economy resilience --- economy resistance --- economy restoration --- photochemical smog --- respiratory disorders --- prevalence --- occupational health --- infection --- trade protectionism --- economy --- energy --- input-output model --- public health crisis --- ESG --- stock price volatility --- avoid risk --- psychological distress --- depression symptoms --- anxiety symptoms --- financial variables --- COVID-19 pandemic --- district-level analysis --- risk factors --- Nepal --- coronavirus disease --- artificial neural networks --- SARS-CoV-2 --- ventilator --- index development index --- developing country --- Covid-19 --- population density --- Covid-19 mortality --- economic recovery --- population reduction --- China --- Saudi Arabia --- Henry Kissinger --- economic burden --- influenza-like illness --- healthcare-seeking behaviors --- air pollution --- coronavirus disease 2019 --- Greece --- GreenYourAir --- fine particulate matter --- COVID-19 --- dentistry --- pandemic --- dentist --- protective equipment --- economy resilience --- economy resistance --- economy restoration --- photochemical smog --- respiratory disorders --- prevalence --- occupational health --- infection --- trade protectionism --- economy --- energy --- input-output model --- public health crisis --- ESG --- stock price volatility --- avoid risk --- psychological distress --- depression symptoms --- anxiety symptoms --- financial variables --- COVID-19 pandemic --- district-level analysis --- risk factors --- Nepal
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