Mathematical economics of multi-level optimisation : theory and application
著者
書誌事項
Mathematical economics of multi-level optimisation : theory and application
(Contributions to economics)
Physica-Verlag, c1998
大学図書館所蔵 全24件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
- Introduction: The MLO Approach
- Energy Planning: Multi-Level Energy Planning System
- Objectives of the Book
- Plan of the Book.- Multi-Level Optimisation: Definitions
- Existence and Uniqueness Problem
- Current State of MLP Developments
- Critical Evaluation and Directions for Further Research.- Multi-Level Programming: Parametric Programming Search Algoithm
- MLP Solution by the PPS Algorithm
- An Alternative Specification of an MLP Model
- Some Issues in Using the PPS Algorithm
- A Summary of the Algorithmic Steps
- Software
- Use of the PPS Algorithm in Different Types of Policy Studies
- Applications of the PPS Algorithm to Different Types of MLP
- Advantages and Limitations of the PPS Algorithm
- Summary and Conclusion.- A Multi-Level Optimisation Approach to Multi-Level Energy Planning: Model Evaluation Criteria
- Existing Energy Sector Optimisation Models
- Evaluation of Existing Energy Modelling Approaches
- An Alternative Modelling Approach: Multi-Level Optimisation of Energy Systems and Energy Policy
- A Multi-Level Optimisation Energy Model
- Some Features of the Present Energy Planning Study/Approach
- Characteristics of Multi-Level Decision Making: Some Analytical Results.- A Multi-Level Optimisation Energy Planning Model for Australia: The Australian Energy Sector the Context for nergy Planning and Modelling in Australia
- The Australian Energy Planning Model (AEPSOM): Some Preliminaries
- AEPSOM: Model Specification
- AEPSOM Policy Variables
- Data
- Summary.- The Results of the Australian Energy Planning Model: AEPSOM Solutions and Output
- Presentation and Discussion of AEPSOM Results
- Sensitivity Analysis
- Reliability of the Results: Model Validation
- Conclusion.- An Australian Optimum Multi-Level Energy Plan: An Optimum Energy System Plan
- Optimum Energy Policies
- An Energy Policy Plan for Australia
- Conclusion.- Major Findings: Summary, Areas for Further Research and Conclusions: Summary and Overview
- Conclusions.- Appendix A: AEPSOM Data: Sources and Methods of Estimation.- Appendix B: AEPSOM: 1989-90.- Appendix C: A Complete List of AEPSOM Solutions.
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