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Evidence-Based Analysis of Issues in Environment, Energy, and Disaster Risks with CGE Models: An Introduction to Part I

This chapter demonstrates the capabilities of CGE modeling as a tool for the numerical assessment of the likely consequences for economies of a number of severe risks. These relate to the environment, particularly climate change, energy, and disastrous events, such as a pandemic. These were issues o...

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Autor principal: Madden, John R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7352116/
http://dx.doi.org/10.1007/978-981-15-3970-1_1
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author Madden, John R.
author_facet Madden, John R.
author_sort Madden, John R.
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description This chapter demonstrates the capabilities of CGE modeling as a tool for the numerical assessment of the likely consequences for economies of a number of severe risks. These relate to the environment, particularly climate change, energy, and disastrous events, such as a pandemic. These were issues of particular concern to Yuzuru Miyata who developed CGE models to examine them. The discussion of the Part I chapters draws out how carefully undertaken CGE analysis can provide vital numerical evidence to inform policy-makers. Particular attention is paid to two key features of the chapters: customization of general-purpose CGE models for capturing essential features of the issue under examination; and a careful examination of simulation results with explanations provided in terms of the key model mechanisms driving them.
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spelling pubmed-73521162020-07-13 Evidence-Based Analysis of Issues in Environment, Energy, and Disaster Risks with CGE Models: An Introduction to Part I Madden, John R. Environmental Economics and Computable General Equilibrium Analysis Article This chapter demonstrates the capabilities of CGE modeling as a tool for the numerical assessment of the likely consequences for economies of a number of severe risks. These relate to the environment, particularly climate change, energy, and disastrous events, such as a pandemic. These were issues of particular concern to Yuzuru Miyata who developed CGE models to examine them. The discussion of the Part I chapters draws out how carefully undertaken CGE analysis can provide vital numerical evidence to inform policy-makers. Particular attention is paid to two key features of the chapters: customization of general-purpose CGE models for capturing essential features of the issue under examination; and a careful examination of simulation results with explanations provided in terms of the key model mechanisms driving them. 2020-03-20 /pmc/articles/PMC7352116/ http://dx.doi.org/10.1007/978-981-15-3970-1_1 Text en © Springer Nature Singapore Pte Ltd. 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Madden, John R.
Evidence-Based Analysis of Issues in Environment, Energy, and Disaster Risks with CGE Models: An Introduction to Part I
title Evidence-Based Analysis of Issues in Environment, Energy, and Disaster Risks with CGE Models: An Introduction to Part I
title_full Evidence-Based Analysis of Issues in Environment, Energy, and Disaster Risks with CGE Models: An Introduction to Part I
title_fullStr Evidence-Based Analysis of Issues in Environment, Energy, and Disaster Risks with CGE Models: An Introduction to Part I
title_full_unstemmed Evidence-Based Analysis of Issues in Environment, Energy, and Disaster Risks with CGE Models: An Introduction to Part I
title_short Evidence-Based Analysis of Issues in Environment, Energy, and Disaster Risks with CGE Models: An Introduction to Part I
title_sort evidence-based analysis of issues in environment, energy, and disaster risks with cge models: an introduction to part i
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7352116/
http://dx.doi.org/10.1007/978-981-15-3970-1_1
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