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.

Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models. In order to solve these models, economists need to use many mathematical tools. This book presents various methods in order to compute the dynamics of general equilibrium models. In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methods. In order to apply these methods, fundamentals from numerical analysis are reviewed in detail. In particular, the book discusses issues that are often neglected in existing work on computational methods, e.g. how to find a good initial value. In part II, the authors discuss methods in order to solve heterogeneous-agent economies. In such economies, the distribution of the individual state variables is endogenous. This part of the book also serves as an introduction to the modern theory of distribution economics. Applications include the dynamics of the income distribution over the business cycle or the overlapping-generations model. In an accompanying home page to this book, computer codes to all applications can be downloaded.

Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models. Many mathematical tools are needed to solve these models. The book presents various methods for computing the dynamics of general equilibrium models. In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methods. In order to apply these methods, fundamentals from numerical analysis are reviewed in detail. Part II discusses methods for solving heterogeneous-agent economies. In such economies, the distribution of the individual state variables is endogenous. This part of the book also serves as an introduction to the modern theory of distribution economics. Applications include the dynamics of the income distribution over the business cycle or the overlapping-generations model. Through an accompanying home page to this book, computer codes to all applications can be downloaded.

The Chinese economy is currently undergoing fundamental changes. In this context, the 2022 China Update examines the key characteristics of China’s transition towards a new phase of economic growth and development. This year’s update book covers a range of diverse topics that reflect the complex and changing nature of the economy. It explores critical questions: Why does China need a new development paradigm, and what is the best way to achieve it? What are China’s choices when faced with the restructuring of global industrial value chains? What key roles will domestic consumption play in the next phase of China’s development? What does the digital transformation mean for the Chinese economy? What has been the domestic impact of the Covid-19 pandemic on income inequality and labour market outcomes? What pathways exist for China in its transition towards carbon neutrality? How does China’s emissions-trading market compare with that of Europe? How will China’s carbon neutrality strategy affect the Australian economy? What are the political factors influencing bilateral trade flows between China and its trading partners? And what is at stake for China–US relations?

Many books have been written on computable general equilibrium (CGE) modeling. However, there are certain important areas for economic policy that have been largely overlooked. This intermediate/advanced text presents the topic as a methodology for the analysis of macro and fiscal policies in modern economies while introducing levels of disaggregation that are beyond the scope of standard macro models. The book begins by presenting the historical and intuitive background of general equilibrium analysis. Moving on, computer software is introduced to derive numerical solutions for economic models. The authors provide examples of code, bringing in data sources that have become the foundations of CGE applications. The methodology presented here, which differs from other CGE books, includes financial assets, government budget deficits, and debt financing of private investment. These topics are analyzed in the context of dynamic optimization, generating endogenous variables such as inflation, interest, and growth rates. The book also devotes significant attention to the applications of CGE models to developing economies. This textbook comes with a range of downloadable supplements and will be a valuable resource for students taking a CGE course as part of a program in advanced microeconomics, macroeconomics, development economics, or international trade economics.