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Integrated Assessment Models of Climate Change Economics
Details
This book describes the principles of integrated assessment models (IAM) for climate change economics and introduces various computable models for different development mechanisms under climate change governance. The authors present several new models they have constructed based on the RICE framework, specifically the MRICES((multi-factor RICE)) and EMRICES models, which incorporate global economic interactions into the RICE framework, and the CINCIA model, which describes technological advances and industrial structure evolution, introducing the mechanism of evolutionary economics.
The models discussed in the book help governments and policy-makers tackle climate change and take positive measures on climate governance as well as promote economic and social development to narrow the gaps between countries.
Introduces the modeling principles of integrated assessment models (IAMs) of climate change economics Provides several IAMs with different mechanisms and methods Simulates the outlooks of climate change and global economy, which could provide helpful scientific information for economic governs of climate change Includes supplementary material: sn.pub/extras
Inhalt
Chapter 1 Introduction.- Chapter 2 MRICES.- Chapter 3 The Impact of Sea Level Rise.- Chapter 4 EMRICES.- Chapter 5 The Analysis for Synergistic Effect of Policy of Environmental Tax with Dynamic CGE in China.- Chapter 6 CIECIA.- Chapter 7 Carbon Emission Governance Under Global Carbon Taxes.- Chapter 8 Global Climate Ethics: A View Based on Chinese Philosophy.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09789811039430
- Lesemotiv Verstehen
- Genre Economics
- Auflage 1st edition 2017
- Sprache Englisch
- Anzahl Seiten 192
- Herausgeber Springer Nature Singapore
- Größe H241mm x B160mm x T17mm
- Jahr 2017
- EAN 9789811039430
- Format Fester Einband
- ISBN 9811039437
- Veröffentlichung 17.03.2017
- Titel Integrated Assessment Models of Climate Change Economics
- Autor Zheng Wang , Gaoxiang Gu , Changxin Liu , Jing Wu
- Gewicht 459g