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

Autorentext

Huaqing Li currently a Professor with the College of Electronic and Information Engineering, Southwest University, Chongqing, China. His main research interests include nonlinear dynamics and control, multi-agent systems, and distributed optimization. He has authored or coauthored more than 100 related to the proposed book’s topic. He currently serves as an Editorial Board Member for the IEEE Transactions on Industrial Cyber-Physical Systems, IEEE Transactions on Systems, Man and Cybernetics: Systems, Neural Computing and Applications, Frontiers of Information Technology & Electronic Engineering, etc. Qingguo Lü was a recipient of the Outstanding Ph.D. Thesis Award of ACM China (Chongqing Branch) in 2021, the Outstanding Master’s Thesis Award of Chongqing in 2019, and the Best Poster Award of EEI 2024. He is currently an Associate Researcher at College of Computer Science, Chongqing University, Chongqing, China. Dawen Xia is currently a Professor at the College of Microelectronics and Artificial Intelligence & College of Big Data Engineering & Engineering Research Center of Micro-nano and Intelligent Manufacturing, Ministry of Education, Kaili University, Kaili, China and the College of Data Science and Information Engineering, Guizhou Minzu University, Guiyang, China. His research interests include distributed optimization, big data analytics, artificial intelligence, and data mining. Xin Wang, from 2018 to 2019, he was a Visiting Scholar with the Humboldt University of Berlin, Berlin, Germany, and with the Potsdam Institute for Climate Impact Research, Potsdam, Germany. Since 2018, he has been a Professor with the School of Electronic and Information Engineering, Southwest University, Chongqing, China. Zheng Wang is currently a Lecture with the College of Electronic and Information Engineering, Southwest University, China. His research interests include multiagent systems, distributed optimization, game, and their applications in smart grids. Lifeng Zheng is currently a lecturer with the College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China. His research interests include multi-agent systems, model predictive control, game theory, and distributed optimization. Jun Li is currently working toward the PhD degree with the College of Electronic and Information Engineering, Southwest University, Chongqing, China. His research interests include multiagent systems, distributed optimization, and reinforcement learning. Liang Ran is currently working toward the Ph.D. degree in computer science and technology. His research interests include game theory, cooperative control, multiagent systems, and distributed optimization.

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.