Eliciting public support for greening the electricity mix using random parameter techniques

A-Tier
Journal: Energy Economics
Year: 2011
Volume: 33
Issue: 2
Pages: 363-370

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

With its commitment to double the share of renewable fuels in electricity generation to at least 30% by 2020, the German government has embarked on a potentially costly policy course whose public support remains an open empirical question. Building on household survey data, in this paper we assess people's willingness-to-pay (WTP) for various fuel mixes in electricity generation, and capture preference heterogeneity among respondents using random parameter techniques. Based on our estimates, we trace out the locus that links the premia charged for specific electricity mixes with the fraction of people supporting the policy. Albeit people's WTP for a certain fuel mix in electricity generation is positively correlated to the renewable fuel share, our results imply that the current surcharge effectively exhausts the financial scope for subsidizing renewable fuels.

Technical Details

RePEc Handle
repec:eee:eneeco:v:33:y:2011:i:2:p:363-370
Journal Field
Energy
Author Count
2
Added to Database
2026-01-25