Resources, Financial Risk and the Dynamics of Growth - Systems and Global Society (Hardcover)

This book presents a new System Dynamics model (the ERRE model), a novel stock and flow consistent global impact assessment model designed by the authors to address the financial risks emerging from the interaction between economic growth and environmental limits under the presence of shocks. Building on the World3-03 Limits to Growth model, the ERRE links the financial system with the energy, agriculture and climate systems through the real economy, by means of feedback loops, time lags and non-linear rationally bounded decision making. Prices and their interaction with growth, inflation and interest rates are assumed to be the main driver of economic failure while reaching planetary limits. The model allows for the stress-testing of fat tail extreme risk scenarios, such as climate shocks, energy transition, monetary policies and carbon taxes. Risks are addressed via scenario analyses, compared to real available data, and assessed in terms of the economic theory that lies behind. The book outlines the case for a government led system change within this decade, where the market alone cannot lead to sustainable prosperity. This book will be of great interest to scholars of climate change, behavioural, ecological and evolutionary economics, green finance, and sustainable development.

General

Imprint:	Routledge
Country of origin:	United Kingdom
Release date:	May 2020
First published:	2020
Authors:	Roberto Pasqualino • Aled Wynne Jones
Foreword by:	Jorgen Randers
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover - Cloth over boards
Pages:	300
ISBN-13:	978-1-138-18735-1
Categories:	Books > Reference & Interdisciplinary > Interdisciplinary studies > Development studies Books > Business & Economics > Economics > Development economics Books > Earth & environment > The environment > Pollution & threats to the environment > Global warming Books > Earth & environment > The environment > Environmental economics > General Promotions
LSN:	1-138-18735-6
Barcode:	9781138187351

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