Integrated energy planning model for Taiwan: multiobjective programming and input-output approaches
This study investigated the physical and economic aspects of the trade-off between economic goals (e.g., growth and development) and energy goals (e.g., reducing oil dependence or energy consumption. To meet this purpose, a Non-Inferior Set Estimation Input-Output (NISE-IO) model consisting of a combination of multiobjective programming techniques and Leontief input-output analyses is utilized. This model is compared with conventional linear programming, goal programming, input-output, and econometric approaches. A major innovation of this NISE-IO algorithm is the computation of the maximum possible error, which the analyst may control to obtain an approximation within a desired degree of accuracy. The derived noninferior solutions in the objective space and optimal solutions in the decision space represent simulated scenarios of aggressive, moderate, and conservative policy alternatives. The analyses are focused on the economic performance resulting from these policy alternatives and the energy requirements for supporting these economic performances. The key conclusions of this study show that whichever policy alternative is adopted, electricity (implying nuclear power) and coal should be the priorities for economic development/growth and substitutes for petroleum consumption. To reduce heavy reliance on energy and raw-material imports, the Taiwan economy should shift its industrial structure from labor- and energy-intensive to less-energy-intensive, high-technology, and light-engineering manufacturing such as electrical machinery industrial blocks.
- Research Organization:
- Hawaii Univ., Honolulu (USA)
- OSTI ID:
- 5319844
- Resource Relation:
- Other Information: Thesis (Ph. D.)
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
POLICY AND ECONOMY
ENERGY MODELS
INPUT-OUTPUT ANALYSIS
ENERGY POLICY
TAIWAN
ECONOMIC POLICY
PLANNING
ASIA
ECONOMIC ANALYSIS
ECONOMICS
GOVERNMENT POLICIES
ISLANDS
290100* - Energy Planning & Policy- Energy Analysis & Modeling
293000 - Energy Planning & Policy- Policy
Legislation
& Regulation
290200 - Energy Planning & Policy- Economics & Sociology