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Mathematical Economics of Multi-Level Optimisation

Theory and Application

  • Sardar M. N. Islam

Part of the Contributions to Economics book series (CE)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Sardar M. N. Islam
    Pages 1-10
  3. Sardar M. N. Islam
    Pages 11-23
  4. Sardar M. N. Islam
    Pages 24-64
  5. Sardar M. N. Islam
    Pages 152-200
  6. Sardar M. N. Islam
    Pages 201-231
  7. Back Matter
    Pages 241-284

About this book

Introduction

Since there exists a multi-level policy making system in the market economies, choices of decision makers at different levels should be considered explicitly in the formulation of sectoral plans and policies. To support the hypothesis, a theoretical energy planning approach is developed within the framework of the theory of economic policy planning, policy systems analysis and multi-level programming. The Parametric Programming Search Algorithm has been developed. On the basis of this theoretical model, an Australian Energy Policy System Optimisation Model (AEPSOM) has been devloped and is used to formulate an Australian multi-level energy plan. The results of this study suggest that a reformulation of existing Australian energy policies is needed. This study overcomes the limitations of existing single level optimisation models, and therefore makes a significant contribution to the principles and methods for economic modelling in a market economy.

Keywords

Australia Australien Economic Modelling Energy Economics Optimierung Optimization algorithms linear optimization mathematical economics natürliche Resourcen ökonomische Modellierung

Authors and affiliations

  • Sardar M. N. Islam
    • 1
  1. 1.Sustainable Economic Growth Program, Centre for Strategic Economic StudiesVictoria University of TechnologyMelbourneAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-49949-4
  • Copyright Information Physica-Verlag Heidelberg 1998
  • Publisher Name Physica-Verlag HD
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-1050-9
  • Online ISBN 978-3-642-49949-4
  • Series Print ISSN 1431-1933
  • Buy this book on publisher's site
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