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Feedback-rich model for assessing feed-in tariff policy
Salman Ahmad
*
, Razman bin Mat Tahar
*
Corresponding author for this work
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peer-review
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Dive into the research topics of 'Feedback-rich model for assessing feed-in tariff policy'. Together they form a unique fingerprint.
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Keyphrases
Feed-in
100%
Tariff Policy
100%
Rich Model
100%
Tariffs
50%
Qualitative Modeling
33%
Government Policy
16%
Politicians
16%
Security of Supply
16%
Electricity Generation
16%
Environmental Concern
16%
Fossil Fuels
16%
High Cost
16%
Policy Targets
16%
Renewable Sources
16%
Learning Effect
16%
Modified Structure
16%
Supply Chain Risk
16%
Fossil Fuel Depletion
16%
Policy Structure
16%
Electricity Supply Chain
16%
Policy Improvement
16%
Environmental Learning
16%
Malaysian Context
16%
Environmental Security
16%
Support Policies
16%
Renewable Power
16%
Renewable Energy Capacity
16%
Technology Costs
16%
Power Infrastructure
16%
Investor Perception
16%
Carbon Tax
16%
Social Sciences
Feed-In Tariff
100%
Tariff Policy
100%
Fossil Fuel
33%
Supply Chain Management
16%
Investors
16%
Scaling-Up
16%
Electricity Supply
16%
Supply Risk
16%
Carbon Tax
16%
Learning Effect
16%
Renewable Energy
16%
Price
16%
Support Policies
16%
Economics, Econometrics and Finance
Feed-In Tariff
100%
Government Policy
16%
Investors
16%
Environmental Consciousness
16%
Electricity Supply
16%
Environmental Tax
16%
Price
16%