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This book approaches economic problems from a systems thinking and
feedback perspective. By introducing system dynamics methods
(including qualitative and quantitative techniques) and computer
simulation models, the respective contributions apply feedback
analysis and dynamic simulation modeling to important local,
national, and global economics issues and concerns. Topics covered
include: an introduction to macro modeling using a system dynamics
framework; a system dynamics translation of the Phillips machine; a
re-examination of classical economic theories from a feedback
perspective; analyses of important social, ecological, and resource
issues; the development of a biophysical economics module for
global modelling; contributions to monetary and financial
economics; analyses of macroeconomic growth, income distribution
and alternative theories of well-being; and a re-examination of
scenario macro modeling. The contributions also examine the
philosophical differences between the economics and system dynamics
communities in an effort to bridge existing gaps and compare
methods. Many models and other supporting information are provided
as online supplementary files. Consequently, the book appeals to
students and scholars in economics, as well as to practitioners and
policy analysts interested in using systems thinking and system
dynamics modeling to understand and improve economic systems around
the world. "Clearly, there is much space for more collaboration
between the advocates of post-Keynesian economics and system
dynamics! More generally, I would like to recommend this book to
all scholars and practitioners interested in exploring the
interface and synergies between economics, system dynamics, and
feedback thinking." Comments in the Foreword by Marc Lavoie,
Emeritus Professor, University of Ottawa and University of Sorbonne
Paris Nord
This book approaches economic problems from a systems thinking and
feedback perspective. By introducing system dynamics methods
(including qualitative and quantitative techniques) and computer
simulation models, the respective contributions apply feedback
analysis and dynamic simulation modeling to important local,
national, and global economics issues and concerns. Topics covered
include: an introduction to macro modeling using a system dynamics
framework; a system dynamics translation of the Phillips machine; a
re-examination of classical economic theories from a feedback
perspective; analyses of important social, ecological, and resource
issues; the development of a biophysical economics module for
global modelling; contributions to monetary and financial
economics; analyses of macroeconomic growth, income distribution
and alternative theories of well-being; and a re-examination of
scenario macro modeling. The contributions also examine the
philosophical differences between the economics and system dynamics
communities in an effort to bridge existing gaps and compare
methods. Many models and other supporting information are provided
as online supplementary files. Consequently, the book appeals to
students and scholars in economics, as well as to practitioners and
policy analysts interested in using systems thinking and system
dynamics modeling to understand and improve economic systems around
the world. "Clearly, there is much space for more collaboration
between the advocates of post-Keynesian economics and system
dynamics! More generally, I would like to recommend this book to
all scholars and practitioners interested in exploring the
interface and synergies between economics, system dynamics, and
feedback thinking." Comments in the Foreword by Marc Lavoie,
Emeritus Professor, University of Ottawa and University of Sorbonne
Paris Nord
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