This book adopts a typical textbook approach and format for CGE beginners to learn and master the subject. It explains the economics theory behind the CGE models. The learning proceeds step by step from basic economic theories to advanced topics, from simple to more comprehensive CGE structures along with the corresponding computer programs. Each chapter reviews relevant economic theories; illustrates new material with examples, diagrams and exercises; and provides the mathematical models along with the GAMS computer programing codes. At the end of a chapter, exercises are assigned for practice and enhancing understanding.

This book contains detailed documentation of the CHINAGEM model - a large-scale dynamic computable general equilibrium (CGE) model of China and its applications. Specifically, this book documents the theory and database behind the CHINAGEM model. This book explores the closure development for the four simulation modes of the model including historical, decomposition, forecast and policy simulations, the detailed explanation of how to analyze simulation results, and the extensions of CHINAGEM and their applications. These extensions include several innovative modules and case studies as examples of the application of CHINAGEM. This book provides an entry point for CGE modellers to develop their analytical skills. This book can also be used as a platform for research institutes to develop CGE models suitable for their research portfolio. The module developments included in this book are designed to capture the specific features of the Chinese economy. The applications of these modules chosen in the book cover hot policy issues in China, and the simulation results have valuable policy implications. This book identifies that the CHINAGEM model itself and all the extensions can be used for analysing many new topics and policy issues such as the effects of the USA–China trade war, the effects of Made in China 2025 Plan as well as China’s commitment to the carbon neutrality before 2060 and its economic implications.

This book contains detailed documentation of the CHINAGEM model - a large-scale dynamic computable general equilibrium (CGE) model of China and its applications. Specifically, this book documents the theory and database behind the CHINAGEM model. This book explores the closure development for the four simulation modes of the model including historical, decomposition, forecast and policy simulations, the detailed explanation of how to analyze simulation results, and the extensions of CHINAGEM and their applications. These extensions include several innovative modules and case studies as examples of the application of CHINAGEM. This book provides an entry point for CGE modellers to develop their analytical skills. This book can also be used as a platform for research institutes to develop CGE models suitable for their research portfolio. The module developments included in this book are designed to capture the specific features of the Chinese economy. The applications of these modules chosen in the book cover hot policy issues in China, and the simulation results have valuable policy implications. This book identifies that the CHINAGEM model itself and all the extensions can be used for analysing many new topics and policy issues such as the effects of the USA-China trade war, the effects of Made in China 2025 Plan as well as China's commitment to the carbon neutrality before 2060 and its economic implications.

The book provides a hands-on introduction to computable general equilibrium (CGE) models, written at an accessible, undergraduate level.

The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.

This book brings together a collection of innovative papers on strategies for analyzing the spatial and economic impacts of disasters. Natural and human-induced disasters pose several challenges for conventional modeling. For example, disasters entail complex linkages between the natural, built, and socio-economic environments. They often create chaos and economic disequilibrium, and can also cause unexpected long-term, structural changes. Dynamic interactions among agents and behavioral adjustments in a disaster become complicated. The papers in this volume make notable progress in tackling these challenges through refinements of conventional methods, as well as new modeling frameworks and multidisciplinary, integrative strategies. The papers also provide case study applications that afford new insights on disaster processes and loss reduction strategies.

The "Contributions to Economic Analysis" series consists of a number of previously unpublished studies. The term economic analysis is used because it covers the activities of the theoretical economist and the research worker.