Complexity Economics and Sustainable Development: A Computational Framework for Policy Priority Inference

Author:   Omar A. Guerrero (The Alan Turing Institute, London) ,  Gonzalo Castañeda (Centro de Investigación y Docencia Económicas)
Publisher:   Cambridge University Press
ISBN:  

9781009016544


Pages:   420
Publication Date:   25 January 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Complexity Economics and Sustainable Development: A Computational Framework for Policy Priority Inference


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Author:   Omar A. Guerrero (The Alan Turing Institute, London) ,  Gonzalo Castañeda (Centro de Investigación y Docencia Económicas)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
ISBN:  

9781009016544


ISBN 10:   1009016547
Pages:   420
Publication Date:   25 January 2024
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

'The book by Omar Guerrero and Gonzalo Castañeda is a path-breaking contribution that, through a careful validation procedure of the complexity applied to sustainable development, demonstrates the logical and empirical superiority of the complex economy over the mainstream method, tight in the straitjacket of equilibrium. Furthermore, it offers convincing evidence of the need for economic policy intervention in sustainable development.' Mauro Gallegati, Università Politecnica delle Marche, Ancona, Italy 'The opportunities afforded by agent-based modelling for informing the development, appraisal, and evaluation of public policies at global and national scales have becoming increasingly evident over the last decade. But often research in this area has been small-scale, not well connected with policymakers, and methodologically unsophisticated. This book is different. It shows in detail the value of modelling using a generative causation approach, develops a powerful modelling framework, and applies it to a range of important case studies to evaluate the effectiveness of allocating budgets to achieve development and sustainability goals, both cross-nationally and at the level of individual countries. It is an excellent example of what policy modelling can achieve.' Nigel Gilbert, Professor of Sociology, Centre for Research in Social Simulation, University of Surrey, UK 'This important book makes excellent contributions on various levels. It introduces readers to sustainable development from a complexity perspective, and provides a masterclass on agent-based modelling and computational economics. Supported by a wealth of empirical data and case studies, the authors address numerous highly relevant topics in sustainability. The book is rich with original insights and policy recommendations. A must-read!' Dietmar Maringer, Professor of Computational Economics and Finance at the University of Basel, Switzerland


Author Information

Omar A. Guerrero is the Head of Computational Social Science Research at The Alan Turing Institute, London. He was an Oxford Martin Fellow at the University of Oxford and a Senior Research Fellow at the University College London, as well as consulted for governmental bodies and international organisations. Gonzalo Castañeda is professor in Economics at CIDE, Mexico City. He has been a visiting scholar in various universities and research centres in the US and Europe. His previous research includes the book: The Paradigm of Social Complexity, which covers diverse approaches to economic thinking and modelling.

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