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- B. Krishnamurthy, Chandra Kiran, 1977-, et al.
(författare)
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Determinants of the Price-Premium for Green Energy : Evidence from an OECD Cross-Section
- 2016
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Ingår i: Environmental and Resource Economics. - : Springer Science and Business Media LLC. - 0924-6460 .- 1573-1502. ; 64:2, s. 173-204
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Tidskriftsartikel (refereegranskat)abstract
- Using data from a survey of households in 11 OECD countries, this paper investigates the determinants of preferences for a completely green residential electricity system. Three important questions are addressed: (i) how much are households willing to pay to use only renewable energy? (ii) does willingness-to-pay (WTP) vary significantly across household groups and countries? and (iii) what drives the decision to enter the (hypothetical) market for green energy and, given entry, what drives the level of WTP? The analysis here differs from previous studies on green energy in two ways: first, data and analyses are comparable across countries and second, a comprehensive attempt is made to understand 0 WTP, and to accommodate-using a censored quantile regression (CQR) framework-unobserved heterogeneity. The survey data indicate a low WTP, at 11-12 % of current electric bill. This study also addresses a key question: how important is income for understanding WTP, relative to more "attitudinal" determinants? The effect of income overall appears ambiguous, with Tobit-like models indicating that income is not significant while the CQR indicates that income exerts a significant effect near the center of the distribution of WTP. Across all frameworks used, a key determinant of WTP appears to be environmental attitudes, particularly membership in an environmental organization.
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| 2. |
- Vesterberg, Mattias, et al.
(författare)
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Residential End-use Electricity Demand : Implications for Real Time Pricing in Sweden
- 2016
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Ingår i: Energy Journal. - : International Association for Energy Economics (IAEE). - 0195-6574 .- 1944-9089. ; 37:4, s. 141-164
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Tidskriftsartikel (refereegranskat)abstract
- Using a unique and highly detailed data set on energy consumption at the appliance-level for 200 Swedish households, seemingly unrelated regression (SUR)based end-use specific load curves are estimated. The estimated load curves are then used to explore possible restrictions on load shifting (e.g. the office hours schedule) as well as the cost implications of different load shift patterns. The cost implications of shifting load from "expensive" to "cheap" hours, using the Nord pool spot prices as a proxy for a dynamic price, are computed to be very small; roughly 2-4% reduction in total daily cost from shifting load up to five hours ahead, indicating small incentives for households (and retailers) to adopt dynamic pricing of electricity.
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