Penentuan Harga Tarif Elektrik : Amalan Oleh Syarikat Elektrik Indonesia
This study is to examine the relationship of tariff price in Indonesia between correlated factors marginal cost pricing, cost accounting pricing and the time of use pricing charged on the four groups of consumer: residential, industrial, commercial and social group customer. The electricity tariff p...
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| Main Author: | |
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| Format: | Thesis |
| Language: | eng eng |
| Published: |
2002
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| Subjects: | |
| Online Access: | https://etd.uum.edu.my/967/1/SYAMSIR_ABDUH.pdf https://etd.uum.edu.my/967/2/1.SYAMSIR_ABDUH.pdf |
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| Summary: | This study is to examine the relationship of tariff price in Indonesia between correlated factors marginal cost pricing, cost accounting pricing and the time of use pricing charged on the four groups of consumer: residential, industrial, commercial and social group customer. The electricity tariff price is the dependent variable whereas the energy consumption, energy
production, average generation cost, fuel price, energy revenue, power connected, regional income and-peak load-are-independent variables. Data are obtained from the National Electric Company (PLN) covering the entire 27 provinces of Indonesia over a period (1990-1999). The
data are analyzed using multiple regressions with procedure. The study on the marginal cost approach shows that the following variables, average generation cost fuel
price, peak load, power connected, regional income and energy revenue correlate significantly with electricity tariff price on residential customer group. The study reveals that the average generation cost, fuel price and regional income correlate significantly with electricity tariff price on the industrial customer group. For commercial customer group, average generation cost, fuel price, energy consumption and power connected correlate significantly with electricity tariff price. For social customer group, it is found that average generation cost,
energy revenue, fuel price, and regional income correlate significantly with electricity tariff price. The cost accounting approach shows that average generation cost, fuel price, peak load, power connected, regional income and energy revenue correlated significantly with the
electricity tariff price on the residential customer group. The average generation cost, fuel price and regional income correlate significantly when industrial customer group. Likewise, the average generation cost, fuel price, energy consumption and power connected have
significant correlation with electricity tariff price on commercial customer group. In social customer group, such as variables fuel price, average generation cost, energy revenue, fuel price and regional income correlate significantly with electricity tariff price. The time of use approach, shows that average generation cost, fuel price, peak load, power connected, regional income and energy revenue have significant correlation with electricity price on the residential customer group. Electricity tariff price on the industrial customer group is significantly affected by average generation cost, fuel price, regional income, and peak load while on the commercial customer group the variables of average generation cost, energy production, fuel price, and peak load correlate significantly with electricity tariff price. For social customer group, the average generation cost, energy revenue, fuel price and regional income correlate significantly with electricity tariff price. The study also shows that electricity tariff price model for varies according to consumer group or province. |
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