Mathematical Economics of Multi-Level Optimisation

1. Front Matter

   Pages I-XVII

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2. Introduction

   • Sardar M. N. Islam

   Pages 1-10

3. Multi-Level Optimisation

   • Sardar M. N. Islam

   Pages 11-23

4. Multi-Level Programming

   • Sardar M. N. Islam

   Pages 24-64

5. A Multi-Level Optimisation Approach to Multi-Level Energy Planning

   • Sardar M. N. Islam

   Pages 65-103

6. A Multi-Level Optimisation Energy Planning Model for Australia

   • Sardar M. N. Islam

   Pages 104-151

7. The Results of the Australian Energy Planning Model

   • Sardar M. N. Islam

   Pages 152-200

8. An Australian Optimum Multi-Level Energy Plan

   • Sardar M. N. Islam

   Pages 201-231

9. Major Findings: Summary, Areas for Further Research, and Conclusions

   • Sardar M. N. Islam

   Pages 232-240

10. Back Matter

    Pages 241-284

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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 developed and is used to formulate an Australian multi-level energy plan.

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

• Sustainable Economic Growth Program, Centre for Strategic Economic Studies, Victoria University of Technology, Melbourne, Australia

  Sardar M. N. Islam

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