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Evolutionary Dynamics and Sustainable Development: A Systems Approach

Norman Clark,etc., Francisco Perez-Trejo, Peter Allen

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ISBN 10: 1858982731 / ISBN 13: 9781858982731
Published by Edward Elgar Publishing Ltd 1995-10-19, 1995
New Condition: New
From Chiron Media (Wallingford, United Kingdom)

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Bibliographic Details

Title: Evolutionary Dynamics and Sustainable ...

Publisher: Edward Elgar Publishing Ltd 1995-10-19

Publication Date: 1995

Book Condition: New

About this title

Synopsis:

The strategic management of socio-economic systems is becoming increasingly difficult with traditional economic models which are unable to handle environmental and technological factors. In Evolutionary Dynamics and Sustainable Development, Norman Clark, Francisco Perez-Trejo and Peter Allen offer a new approach which emphasizes the evolutionary nature of socio-economic systems. This major book begins with a critical evaluation of conventional economic approaches to development planning and then explores how modern general systems theory can show economic development as a process of structural change. The discussion includes the use of decision tools which can simultaneously handle spatial and temporal evolution. The authors develop a model which they explore through case studies of both Senegal and Crete. The model is combined with risk analysis to show how it can be used in computer-based scenarios, before its properties as an aid to decision making are summarized in the last chapter. Defining development as a process of structural change in economic systems rather than in terms of economic output, this volume will be welcomed for its advocacy of non-linear models as decision tools and for its special reference to issues of economic development and environmental stability in Third World countries.

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This work offers an approach to socio-economic systems which emphasizes their evolutionary nature. Economic development is shown as a process of structural change. The discussion in the book includes the use of decision tools which can simultaneously handle spatial and temporal evolution.

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